Gå til hovedinnhold

Joint Russian Norwegian Arctic Fisheries Working Group (JRN-AFWG) Report 2026

Forfatter(e): Daniel Howell , Magnus Aune (HI), Olav Nikolai Breivik (Norsk regnesentral), Oleg Bulatov, Konstantin Byurno, Anatoly Chetyrkin, Côme Denechaud , Elise Eidset (HI), Anatoli Filin, Elvar H. Hallfredsson , Edda Johannesen (HI), Yury Kovalev, Andrey Mikhailov, Alexey Russkikh, Charles Abraham Solberg (HI), Konstantin Sokolov, Alexey Stesko, John Tyler Trochta (HI), Dmitry Vasilyev, Mikko Vihtakari , Kristin Windsland (HI) og Natalia Yaragina

Executive Summary

On 30th March 2022 all Russian participation in ICES was temporally suspended. Although the announcement of the suspension stressed the role of ICES as a “multilateral science organization”, this suspension applied not only to research activities but also to the ICES work providing fisheries advice for the sustainable management of fish stocks and ecosystems. On 9th December 2024 Russia announced its intention to leave ICES, and this came into effect on 9th December 2025. As a result, since 2022 the ICES AFWG has provided advice only for saithe, coastal cod north, coastal cod south, and golden redfish. Northeast Arctic (NEA) cod, haddock, beaked redfish, Greenland halibut, and capelin assessments have been conducted outside of ICES in a bilateral Joint Russian-Norwegian Working Group on Arctic Fisheries (JRN-AFWG) and should not be considered as ICES advice. Although this work has been conducted independently of ICES, the methodologies agreed at ICES benchmarks and agreed HCRs (Harvest Control Rules) have been followed in providing this advice. 

The chapter numbering in this report is not continuous (Chapter 2,5 and 7 are missing). This is done in order to be consistent with the chapter numbering in ICES AFWG reports.

In 2026 we are giving annual advice for NEA cod, NEA haddock, beaked redfish, and a two-year advice for Greenland halibut. The beaked redfish typically has a two-year advice, however this stock is in the process of a benchmark model revision. Therefore, we issue single year advice this year, with the intention of reverting to two-year advice next year following the results of the benchmark.

In 2025 TAC quota was set above advice for cod, haddock and Greenland halibut. In 2026 the quota was above advice for cod and Greenland halibut. We note that cod, in particular, is in an extremely sensitive situation, with projected future recruitment to the fishery estimated to be very low in the medium term. Therefore, any future TAC over advice poses a real risk of reversing the projected modest upturn in the stock.

Advice on fishing opportunities for NEA cod

The NEA cod stock is continuing to decline following a prolonged period of moderate to poor recruitment, and is currently below Bpa but above Blim. The stock is forecast to rise next year as moderate recruitment enters the fishable stock. However, projections for recruitment in the following years are very low. As a result, the stock is projected to stabilize a little above Bpa , provided the advice is followed. The yearclasses entering the fishery now are therefore critical to the medium-term development of the stock, and overfishing these would pose a risk of an extended period of stock below precautionary levels.

There was a model revision this year, to better account for the different levels of uncertainty at different magnitudes of catches. This is the same method as used for haddock and now the ICES NEA saithe assessment and has improved both the fit to the data and slightly improved the model retro. This revision has slightly revised up the stock estimate.

Following the agreed HCR, the advice for 2027 is that catches should be no more than 312 667 tonnes, up from an advice of 269 440 tonnes and a quota of 285 000 tonnes in 2026. Provided that this advice is followed, then projections indicate that the stock should start to rise slightly and then stabilize at moderately low but safe levels. It should be stressed that this quota advice is higher than would be expected from the current state of the stock (which would give a quota advice of 272 528 tonnes) because the HCR accounts for the projected increase in the stock. F urther quota above advice could be expected to delay any recovery for this stock, and potentially lead to further decline.  

Advice on fishing opportunities for NEA haddock

Following a period of low recruitment, the stock is rising as a result of relatively good yearclasses in 2021 and 2022 currently entering the fishery.  

Following the agreed HCR, the advice is that catches in 2027 should not exceed 180 336 tonnes, up from an advice and quota of 153 293 tonnes in 2026. Provided that these incoming yearclasses are not heavily caught at small sizes, then then this should lead to a continued increase in stock and catches as long as the advice is followed. In recent years there has been a rise in the catch of small haddock, and if this is not curtailed then there is a risk that a large part of the incoming yearclasses could be fished before reaching a size to give optimum yield. 

Advice on fishing opportunities for Greenland halibut

The stock is on a downward trajectory towards Bpa. However, improved recruitment is now entering the adult and the fishable biomass. This gives a potential to reverse the downward trend provided fishing pressure is kept at appropriate levels. The total biomass is project to rise slightly in 2026 if the advice is followed, although it will take several more years for the female SSB to begin to rise. There has been an upwards retrospective revision for the Greenland halibut stock, as a result of which the stock is now assessed as being above Bpa, compared with the 2024 assessment which projected the stock to fall below Bpa in the course of 2024.

The advice is that catches in 2027 should be no more than 19 610 tonnes, and catches in 2028 should be no more than 19 914. These are higher than the advice of 12 431 tonnes for 2025 and 14 891 tonnes for 2026, but lower than the TAC (19 000 for both years) and lower again than the estimated catches of 20 652 tonnes in 2025. We stress that we present a total quota advice, which includes catches in international waters and a small area of UK waters. This stock has a history of quota and catches being set above advice, and then catches above the TAC, which has led to the decline of the stock.

Advice on fishing opportunities for beaked redfish

The stock is at a high level, with SSB relatively stable. Recent recruitment is slightly down on the peak levels around 2020, but is still at good levels and well above the low levels seen in the late 1990s and early 2000s. The stock is fished at a moderate fishing pressure in line with advice.

The current model is considered rather uncertain (largely due to lack of a coherent survey coverage and limited age data), with a high degree of annual retrospective adjustments, and there is no accepted precautionary Fmsy level. A benchmark revision is in process. Therefore, a single year’s advice is presented this year, instead of the typical two-year advice. The aim is to revert to two-year advice next year.

The catch advice is no more than 67 090 tonnes in 2027, compared to an advice of 67 191 tonnes in 2025 and 69 177 tonnes in 2026. TAC has historically been set following advice. It should be noted that because there is not an agreed precautionary Fmsy value for this stock, a “status quo F” approach is used to set the advice. It is therefore possible that the significant changes in the quota advice could occur following the benchmark once an appropriate target fishing mortality can be evaluated.

1. Ecosystem considerations

The aim of this chapter is to identify important ecosystem information influencing the fish stocks. Ecosystem and climate changes, along with fishery, determine the stock dynamics of commercial species. Water temperature and ice conditions influence on distribution of the commercial fishes in the Barents Sea. Apart from this, temperature impacts on growth rate and mortality at the early stages (larvae, juveniles). Currents affect the strength of year-classes by providing transport of eggs, larvae and 0-group of commercial species from the spawning areas into the Barents Sea. Food availability is another important ecosystem driver that influence on the rate of growth and maturation of commercial fishes. It depends not only on the prey availability, but also on feeding competition. Mortality due to predation, including cannibalism, can greatly affect population abundance of commercial species. The impact of ecosystem changes on the dynamics of bycatches of juveniles and non-target species in mixed fisheries should also be taken into account.

The Barents Sea ecosystem survey (BESS):

The aim of the Barents Sea ecosystem survey (BESS) in August-October is to monitor the status and changes in the Barents Sea ecosystem. In 2018, and 2022, BESS coverage was incomplete, and in 2020 it was delayed, making the evaluation of the ecosystem status more uncertain. The 202 5 BESS was carried out during the period from 22nd August to 15th October by three Norwegian and one Russian research vessels. The temporal and spatial progression during the survey was good despite technical problems and bad weather (Figure 1.1a and b).

Figure 1.1. The spatial (left) and temporal (right) progression during the survey.

Figure 1.1. The spatial (left) and temporal (right) progression during the survey.
Figure 1.1. The spatial (left) and temporal (right) progression during the survey.

 

Current state and changes

Abiotic conditions

Sea Surface Temperature (SST) in both the southern and northern Barents Sea were slightly above or close to the seasonal average in the first half of 2025. During the summer, surface temperatures increased, and in August–September they were around 5°C above the seasonal average in the south and just over 3°C above the average in the north. This was associated with a marine heatwave. The sea surface remained warmer than the seasonal average for the rest of 2025.

The southwestern Barents Sea is strongly affected by the varying characteristics of the inflowing Atlantic Water (AW). The long-term time series from standard sections reveals an increasing temperature trend in the Atlantic Water since the late 1970s. Temperatures in the inflowing water decreased from 2015-2019/2021. The last 4-5 years the temperatures have increased, particularly in summer (Figure 1.2).

 

Figure 1.2. Temperature in the AW flowing into the Barents Sea in Fugløya-Bear Island (red) and Vardø-North (blue). Left panel shows winter while right panel shows summer.
Figure 1.2. Temperature in the AW flowing into the Barents Sea in Fugløya-Bear Island (red) and Vardø-North (blue). Left panel shows winter while right panel shows summer.

 

The Barents Sea has been ice-free in summer since 2015. Winter sea ice extent decreased until 2016. There has been some recovery since, but not to 80s and 90s levels. The sea-ice area in the southern Barents Sea was below or close to the long-term average throughout 2025. In the northern Barents Sea, the ice cover was highly variable at the start of the year, but from June onwards it remained well below the long-term average.

The area of the Barents Sea occupied by bottom waters with a temperature of < 0°C amounted to 25% that was below the level of 2019-2022 and 2024 (Fig. 1.3). According to the expert evaluation, Atlantic water temperature in the Murman Current in 2026 is expected to remain typical of warm years. Due to high temperatures and low sea-ice extent in recent years, the ice coverage of the Barents Sea is expected to remain below normal. Lower-than-average ice coverage and longer duration of ice-free season increase the primary productivity of the Barents Sea.

 

Figure 1.3. Area of bottom waters with different temperature ranges in the Barents Sea in September-October 2000-2025.
Figure 1.3. Area of bottom waters with different temperature ranges in the Barents Sea in September-October 2000-2025.

 

There is no trend in the volume transport across the Barents Sea Opening when investigating the full time series. However, there appear to be shifts between periods. The period 1997-2006 had highly varying volume transports. The period 2007-2020, on the other hand, was more stable, with the exception of the extreme years of 2015-2016. During 2021-2025, the volume transport has been rather weak compared to before, in particular in spring/early summer and fall.

Mesozooplankton

The total mesozooplankton biomass in autumn 2025 was similar to preceding years across the Barents Sea. In several subareas in the Norwegian sector, where size-fractioned biomass is available, the biomass of the mid-size fraction (typically representing older stages of large copepods like Calanus spp.) has been very low during 2020-2024. During the same period, the smallest size-fraction (typically representing young stages of intermediately sized copepods, as well as smaller species) increased markedly. In 2025, however, the size-fractioned biomasses were more similar to earlier in the time series.

The changes in the biomasses of the intermediate and small zooplankton size-fractions may reflect a combination of factors including the predation pressure from the large fish stocks, possibly a lower advection of mesozooplankton with inflowing waters into the BS in recent years, as well as variability in local production rates.

Krill and amphipod biomass indices have been at low levels in recent years.

Prey stocks

Euphausiids, amphipods and shrimp are important prey for most commercial fish in the Barents Sea. In 2025 the total biomass of euphausiids was lower than the long-term mean (1980-2025). According to the most recent stock assessment, the shrimp stock is declining.

Capelin, polar cod and young herring are the main forage pelagic fish in the Barents Sea, which are important prey for most predators in the area, including commercial demersal species. These species are very sensitive to various changes in the ecosystem, the influence of predators, fishing, or the plankton . Total biomass of the main pelagic species during 1986–2025 has fluctuated between ca. 0.5 and 9 million tonnes; largely driven by fluctuations in the capelin stock (Fig. 1.4). After several years with biomass above average, the total biomass of pelagic fish was below average in 2025. The biomass in 2025 was also completely dominated by herring which are distributed in the south, implying that there is low biomass in the north of the Barents Sea. The biomass of herring is dominated by the 2021 and 2022 year-classes.

 

Figure 1.4. Total biomass of pelagic fish (excluding 0-group) in the Barents Sea in 1986-202 5 . Note that herring survey estimates are available from 1999 and blue whiting estimates from 2004. Biomass estimates for herring between 1988 and 1998 are derived from the NSS-herring assessment (age 1-3). The dashed line denotes average biomass summed over all the included pelagic species for 1988-2024.
Figure 1.4. Total biomass of pelagic fish (excluding 0-group) in the Barents Sea in 1986-202 5 . Note that herring survey estimates are available from 1999 and blue whiting estimates from 2004. Biomass estimates for herring between 1988 and 1998 are derived from the NSS-herring assessment (age 1-3). The dashed line denotes average biomass summed over all the included pelagic species for 1988-2024.

 

The major stock collapses of capelin in the 1980s, 1990s and 2000s were all mainly caused by recruitment failures (Gjøsæter et al. 2016), and the fluctuations in stock size between 2014 and 2019 were also associated with poor recruitment. The relatively high stock biomass between 2019 and 2023 was mainly an effect of the very strong 2019 year-class and above average 2020 year-class. Recruitment after that has been poor for capelin and the stock is at very low level in 2025.

The recent strong recruitment to the polar cod stock in 2016 and 2020 lead to sudden increases in stock size, but the stock sizes decreased again rapidly and is presently low (Fig. 1.4). Polar cod are predicted to experience decrease in habitat and abundance with a warmer and more ice-free Barents Sea, and the reasons for the occasional very high polar cod recruitment recently are not known.

The fluctuating amounts of young herring and blue whiting in the Barents Sea (Fig. 1.4) are directly connected to the recruitment fluctuation in these stocks, since the Barents Sea serves as nursery area for the juvenile herring and juvenile blue whiting, especially when these stocks recruit rich year classes.

Specification of the ecosystem impact on the assessed species:

Cod

The cod stock has been decreasing until 2026, but a slight increase is predicted in the coming years. The main effect of the ecosystem impact on cod stock dynamics is manifested in the change in the abundance of its recruitment. There have not been any strong year-classes of cod since 2005 despite high cod SSB and above average sea temperatures. Recruitment has previously been shown to be positively correlated with both those factors, but in recent years this is no longer the case. Meso-zooplankton is important for survival of larvae and 0-group cod, so their distribution must overlap with areas of relatively high plankton biomasses. Despite a large number of studies (see e.g. summary in Ottersen et al., 2014 and Johannesen et al. 2026), the underlying mechanism of the impact of the Barents Sea ecosystem on cod recruitment is still not well understood.

Cod diet

Cod is a main predator among fishes in the Barents Sea. Its diet was relatively stable in recent years; capelin was the main prey. The diet composition of cod in 2025 was similar to 2024 (Fig. 1.5), but the proportion of cod and haddock in the diet decreased from 2024 to 2025 (Fig. 1.8 and 1.9). Since 2013 the importance of snow crab in cod diet increased considerably and has since then consisted of 3-7 % by weight (Fig. 1.6). It should be noted that in 2022-2023 an unexpected increase of red king crab up to 3-5 % by weight in the diet was observed (Fig. 1.5), but cod consume only crab legs, empty carapaxes after molting or individuals with soft carapax immediately after molting. Fig. 1.7 shows the consumption by cod in the period 1984-2025. Consumption of most prey has decreased in recent years due to decreasing cod abundance. Total prey consumption in 2025 was slightly lower than in 2024.

Fig. 1.8 and 1.9 show the proportion of cod and haddock in the diet of cod. The proportion of cod and haddock in cod diet decreased from 2024 to 2025.

Individual growth of cod decreased from 2024 to 2025 for age groups 3-5. These are the age groups which are most dependent on capelin as food, so this is likely related to the low capelin abundance.

 

Figure 1.5. Diet consumption of cod in the Barents Sea in 1984-2024, % by weight. Could not be updated this year.
Figure 1.5. Diet consumption of cod in the Barents Sea in 1984-2024, % by weight. Could not be updated this year.

 

 

Figure 1.6. Importance of snow crab and red king crab in diet of cod in 1984-2024, % by weight. Could not be updated this year.
Figure 1.6. Importance of snow crab and red king crab in diet of cod in 1984-2024, % by weight. Could not be updated this year.

 

 

Figure 1.7. Consumption of various prey items by cod in 1984-2025. Norwegian calculations.
Figure 1.7. Consumption of various prey items by cod in 1984-2025. Norwegian calculations.

 

 

Figure 1.8. Proportion of cod in cod diet by predator age group.Figure 1.8. Proportion of cod in cod diet by predator age group.
Figure 1.8. Proportion of cod in cod diet by predator age group.

 

 

Figure 1.9. Proportion of haddock in cod diet by predator age group.
Figure 1.9. Proportion of haddock in cod diet by predator age group.

 

Haddock

Warm conditions are necessary, but not sufficient conditions to ensure good recruitment and growth. Plankton bloom (timing and strength) and influx are important for year-class formation. The year-classes 2018-2020 were poor, but the reasons are not fully explored. The year-classes 2021-2024 appear to be average, or above average. There is a downward trend in the condition factor of haddock (Fig. 1.10). Older haddock include a high proportion of benthic invertebrates in their diet, but the availability of this prey group is not known. The low cod stock should lead to less predation on haddock by cod, and therefore lower mortality on both pre-recruits and younger haddock recruited into the fishery.

 

Figure 1.10. Fulton’s K (100*weight (g) /length (cm)^3) for 4 and 6 year old haddock calculated from average weights and lengths from the winter survey 1994-2026.
Figure 1.10. Fulton’s K (100*weight (g) /length (cm)^3) for 4 and 6 year old haddock calculated from average weights and lengths from the winter survey 1994-2026.

 

Haddock diet

The diet composition of haddock is presented in Fig. 1.11. Haddock is a benthivorous species and feeds mainly on polychaets, echinoderms and molluscs (on average up to 43 % by weight). However, euphausiids and fish (including capelin and herring) can be important prey items (on average up to 13 % and 17 % by weight respectively).

 

Figure 1.11. Diet composition of haddock in the Barents Sea in 1993-2024, % by weight. Could not be updated this year.
Figure 1.11. Diet composition of haddock in the Barents Sea in 1993-2024, % by weight. Could not be updated this year.

 

Greenland halibut

The distribution of the Northeast Arctic Greenland halibut stock is very uneven in the Barents Sea and adjacent waters and strongly depends on the migrations that it makes throughout its life. The highest densities of adult fish are observed in spawning grounds on the slope of the continental shelf. Juveniles are widely distributed along the northern part of the shelf and the northern part of the Barents Sea. Their abundance in the Barents Sea may be affected by water temperature and currents, although the effect of these factors is not fully understood and uncertain. Growth and maturation of the Greenland halibut depend on prey abundance. Greenland halibut feeds on zooplankton, shrimp, capelin, herring, polar cod and other small fishes. Cod can be both predator and food competitor for Greenland halibut, but spatial overlap is observed mainly between cod and Greenland halibut juveniles. Cannibalism can also be observed in areas with the overlapping of adults and juveniles. Mammals can consume Greenland halibut in the spawning areas.

Beaked redfish

As a boreal species, it is benefiting from the warming in the Barents Sea. Its stock has increased in recent years, but stock assessment of this species characterized by high uncertainty. Feeding condition for beaked redfish, which feeds on zooplankton and small fish (capelin), in 2023-202 4 were likely to be relatively good, but decreased in 2025. Cod and Greenland halibut are main predators for the beaked redfish. However, as abundance of these species is low , the predation pressure on redfish probably is relatively low. In 2021-2024, the total number of redfish juveniles, mostly S. mentella , caught as bycatch in the international shrimp fishery was high (see Figure 1.14), but decreased to a low level in 2025. This strongly depends on the overlap between the distribution areas of redfish juveniles and shrimp fishery areas. The stock size and distribution of shrimp as well as currents and temperature affect this.

Marine mammals

In the Barents Sea about 15 cetacean species, 7 seal species and the polar bear can potentially be observed. The white-beaked dolphin is the most common cetacean species to be seen within the Barents Sea as it is distributed all over the area. Among the large baleen whales, especially minke whales, but also fin whales, are distributed over large parts of the Barents Sea, and are seasonally present at relatively high numbers. Humpback whales have much more aggregated distributions north and west of Hopen and around Bear Island, and these locations are also shared by the other baleen whale species.

As in previous years, the most frequently observed and widely distributed species was the white-beaked dolphin ( Lagenorhynchus albirostris ) with higher sighting frequency north of 73°N. While the number of registered individuals of this species was higher compared to previous years, it was not distributed as far to the east and northeast as previously. White-beaked dolphins formed the largest aggregations in the Great Bank and Central Bank in areas of capelin concentrations, where groups of up to 55 individuals were recorded.

Consistent with previous years, other dominant species observed during the survey included the baleen whales minke ( Balaenoptera acutorostrata ), humpback ( Megaptera novaeangliae ), and fin ( Balaenoptera physalus ) whale.

This year the number of minke whale registrations was higher than in 2024. This species was mainly sighted in the areas west of 40°E. One large aggregation of 41 minke whales was observed in the Great Bank area, along with groups of fin and humpback whales and coinciding with capelin aggregations.

Compared to previous years, the main aggregations of humpback whales were recorded in a more restricted area within 76–78° N and 25–39° E, coinciding with capelin concentrations. With group sizes of 25-40 and up to 100 humpback whales, larger groups of this species were observed in this area than in previous years. Overall, while the number of groups observed was lower in 2025 than in 2024, groups tended to be larger, and the total number of registered humpback whales (total number of individuals) was higher than in 2023 and 2024.

The distribution of fin whales was relatively similar to previous years, but they were not as widely distributed towards the east as in previous years. The main aggregations of this species were recorded in the same areas where minke and humpback whales were concentrated.

Food web and species interactions

The Barents Sea food web is a relatively well-studied, cold-water marine ecosystem characterized by strong seasonal productivity and top-down control by predators (Blanchard et al. 2002, Wassmann et al. 2011 ) . At its base, the food web starts with phytoplankton, which bloom in spring and are grazed by zooplankton such as Calanus finmarchicus . These in turn support a variety of pelagic fish like capelin ( Mallotus villosus ), herring, polar cod and the early life-stages of demersal fish. Demersal fish (e.g., cod, Gadus morhua ) feed on both pelagic and benthic prey, while marine mammals (such as harp seals and whales) and seabirds (e.g., auks) act as apex predators. The web is influenced by climate-driven changes in ice cover and inflow of Atlantic waters, affecting species composition and productivity.

A model for assessing the food web of marine mammals and fish in Barents Seas developed by Planque et al. (2024) is shown in Figure 1.12. Marine mammals consume large quantities of food, comprised of fish, including cod and lower trophic level species that support commercial fish stocks.

Year Other Amphipods Krill Shrimp Capelin Herring Polar cod Cod Haddock Redfish G. halibut Blue whiting Long rough dab Snow crab Total
1984 527 30 141 465 755 84 16 23 56 380 0 0 25 0 2503
1985 1301 191 65 188 1841 227 3 31 56 252 0 2 48 0 4205
1986 712 1493 144 172 1002 172 163 77 111 354 0 0 68 0 4470
1987 836 1412 90 241 306 39 231 27 6 350 1 0 11 0 3551
1988 447 1411 335 150 383 8 100 10 3 258 0 5 6 0 3115
1989 671 822 235 123 587 3 37 8 10 221 0 0 67 0 2784
1990 1146 122 77 160 1399 7 5 16 14 188 0 81 86 0 3302
1991 701 65 73 165 2462 7 11 23 16 268 7 8 243 0 4049
1992 833 95 154 362 2306 279 93 47 88 175 25 2 96 0 4554
1993 735 252 647 317 2968 161 278 269 72 94 2 2 28 0 5823
1994 640 576 730 528 1110 155 637 233 51 79 0 1 44 0 4783
1995 860 1015 554 373 631 121 253 378 117 199 2 0 37 0 4540
1996 623 643 1220 357 553 47 103 541 67 95 0 10 37 0 4297
1997 494 437 585 362 1007 5 117 355 45 33 0 34 15 0 3489
1998 466 431 550 391 859 106 179 165 37 9 0 14 18 0 3224
1999 441 173 324 305 2081 154 264 67 30 18 1 35 9 0 3903
2000 435 192 507 513 1974 62 223 85 60 8 0 41 21 0 4121
2001 738 181 396 298 1874 77 270 69 52 6 1 159 32 0 4153
2002 381 96 262 245 2032 87 284 110 128 1 0 241 16 0 3882
2003 554 290 545 243 2187 220 279 111 167 3 0 74 53 0 4726
2004 628 564 346 249 1256 215 357 127 199 3 11 57 65 1 4077
2005 767 564 510 267 1370 129 381 116 320 2 5 115 53 0 4598
2006 819 212 1007 332 1668 165 101 78 347 11 2 159 119 0 5020
2007 1183 292 1012 402 2015 273 250 86 359 43 0 43 72 0 6030
2008 1514 151 882 369 2749 101 494 178 282 56 12 17 89 0 6895
2009 1439 231 571 256 3818 118 706 187 243 27 3 5 112 2 7717
2010 1562 404 974 272 3779 51 325 232 256 134 9 14 128 7 8149
2011 1504 242 829 213 3982 80 410 274 268 111 0 26 117 8 8064
2012 1920 301 777 337 3541 49 505 362 213 50 32 8 121 7 8222
2013 1721 251 528 259 3571 50 135 368 196 107 1 21 163 15 7386
2014 1375 319 467 199 3643 70 31 351 86 31 10 18 104 9 6712
2015 1590 624 661 247 3231 127 143 208 174 138 40 58 82 33 7355
2016 1656 512 696 295 2166 94 341 189 218 56 5 86 115 9 6440
2017 1046 128 589 251 2912 193 88 310 268 44 3 24 137 50 6043
2018 1176 375 862 223 2829 199 237 241 271 33 67 46 52 42 6650
2019 792 249 532 310 2618 179 162 183 206 44 0 2 99 48 5425
2020 824 469 472 160 1860 105 406 100 82 26 11 12 151 87 4766
2021 887 139 372 197 2200 97 396 187 25 112 0 13 94 39 4760
2022 675 67 313 195 1885 144 299 115 75 82 4 29 72 43 3998
2023 612 106 178 180 1668 166 99 55 68 106 0 57 108 29 3431
2024 579 97 170 131 1426 163 64 113 283 33 6 25 67 25 3181
2025 685 155 208 155 1257 80 55 63 149 92 0 7 73 50 3029
Table 1.1. The North-east arctic COD stock's consumption of various prey species in 1984-2025 (1000 tonnes) based on Norwegian consumption calculations. Same data as for Figs. 1.5 and 1.7.
Fig. 1.12. Results from a food-web assessment model for marine mammals, fish, and fisheries in the Barents and Norwegian Seas (Planque et al. 2024). Note the legends in lower left corner of the figure.
Fig. 1.12. Results from a food-web assessment model for marine mammals, fish, and fisheries in the Barents and Norwegian Seas (Planque et al. 2024). Note the legends in lower left corner of the figure.

 

According to Mauritzen et al. (2022) marine mammals consume about 535 000 tons of gadoid species annually in the Barents Sea. We should get more information about the gadoid species composition and size of this prey in their diet to better evaluate the mortality caused by marine mammals compared to cannibalism, fishing mortality and other natural mortalities. For Northeast Arctic cod, total cannibalism during the record high spawning stock biomasses (SSB) during 2011-2015 was up to 368 000 tons (2013), while cannibalism in 2025 was estimated to 63 000 tons (Table 1.1).

The number of recruits produced per unit cod spawning stock biomass has dropped to a low level since 2006. T he average number of recruits R3 per kg spawning stock biomass 1981-2006 was 1.67 and from 2007-2023 was 0.37, numbers from this year’s assessment. A similar drop is not apparent in the number of recruits at the 0-group stage (Figure 1.13). The reasons for the change are not clear. It might be caused by northwards shifts in spawning grounds, reduced plankton transport to the Barents Sea, or other ecosystem changes related to warming of the ocean (Johannesen et al. 2026).

Fig. 1.13. Recruitment success (R/SSB) of the cod year-classes 1981-2006 (blue) and 2007-2023 (red) illustrating the low survival of promising year-classes of cod produced by record high SSBs during 2011-2015. A: 0-group cod index/SSB and B: R3/SSB (recruits per kg spawning stock biomass). The dashed lines show the averages for the year-classes 1981-2006 in blue and 2007-2023 in red. Updated from Johannesen et al. 2026.
Fig. 1.13. Recruitment success (R/SSB) of the cod year-classes 1981-2006 (blue) and 2007-2023 (red) illustrating the low survival of promising year-classes of cod produced by record high SSBs during 2011-2015. A: 0-group cod index/SSB and B: R3/SSB (recruits per kg spawning stock biomass). The dashed lines show the averages for the year-classes 1981-2006 in blue and 2007-2023 in red. Updated from Johannesen et al. 2026.Caption

 

1.2 Discards and young fish bycatch in mixed fishery

In this report, the terms ‘landings’ and ‘catches’ are, somewhat incorrectly, used as synonyms, as discards are in no cases used in the assessments. This does not mean, however, that discards have not occurred, but the WG has no information on the likely extent. Available information indicates low discard rates at present (less than 5% of catch), and it therefore is assumed that discards are negligible in the context of the precision of the advice.

We would note that there have been historical periods with significant mis-reporting, and for further information on under- and misreporting, we refer to the 2016 and 2022 AFWG reports.

Bycatch estimates (1994–2025) of redfish, cod, haddock, Greenland halibut and polar cod juveniles in the commercial shrimp fishery in the Barents Sea are presented in Figure 1. 14 . These estimates are obtained with a spatio-temporal model based on a procedure elaborated in Breivik et al. (2017). In Breivik et al. (2017) an extensive validation study indicates that the procedure obtains bycatch estimates with approximately correct uncertainty. The bycatch estimates illustrated in Figure 1. 14 are available for each quarter in each main statistical area (not shown in report). Note the increase in bycatch of redfish juveniles in recent years. In the Barents Sea , genetic analyses of redfish juveniles collected from bycatches in the shrimp fishery some years ago showed that 97% of the redfish juveniles were S. mentella (K. Nedreaas, pers.comm .). Most of the redfish bycatch are 8-15 cm and 1-3 years old S. mentella with an average weight of about 22 g. A bycatch of 10 million redfish hence corresponds to 220 tons bycatch compared to 92 000 tons eaten by cod in 2025. On the other hand, 10 million 2-year-old redfish bycatch (i.e., 1/3 of the total bycatch) is about 4% of the assessed total stock number of 2 year olds (Howell et al. 2024). The current stock assessment of S. mentella is less accurate with regards to small fish since it mainly focuses on the fished part of the stock. The natural mortality of the smallest redfish caught as bycatch is also likely higher than M=0.05 used in the current stock assessment.

The time-series in Figure 1.14 are obtained by scaling the estimated bycatch in the Norwegian shrimp fishery with the international fishery in e.g., each season and ICES area. The scaling procedure assumes that the Norwegian fishery is representative of the international shrimp fishery with regards to bycatch. This assumption is necessary because the international catch data are available only to a low spatio-temporal resolution. If the international vessels to a relatively high degree trawl at locations not trawled by Norwegian vessels, the bycatch estimates illustrated in Figure 1. 14 may be biased. The estimated bycatches do not include larger fish kept in escapement bags in some countries’ shrimp fisheries in international waters (the “Loop-hole”).

The same spatio-temporal model may also be used as a tool to open closed areas.

Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals. Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals.

Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals. Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals.

Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals.
Fig. 1.14. Estimated bycatch of cod, haddock, redfish, Greenland halibut and polar cod (Boreogadus saida) in the Barents Sea international shrimp fishery. Intervals are 90% confidence intervals.

 

1.3 Sampling of commercial catches – age and length sampling

Tables 1.2–1.5 show the development of the Norwegian, Russian, Spanish and German sampling of commercial catches in the period 2008–2025. The tables show the total sampling effort, but do not show how well the sampling covers the fishery. Indices of coverage should be developed to indicate this. The main reason for the general strong decrease in numbers of Norwegian samples in the first part of this period is the termination of the port sampling program in northern Norway. This program is now up and running again. It should be considered whether catch sampling carried out by different countries fishing by trawl for the same time and area could be coordinated and data shared on a detailed level to a greater extent than is done today. It is also possible for Norway to provide stock coordinators in other countries with samples collected by the Norwegian Coastguard during their inspections of foreign vessels.

  Year No of unique vessels No of length samples No of length-measured individuals No of unique vessels (***) No of age samples No of aged individuals Landing tonnes Length-samples per 1000 t Age samples per 1000 t Aged individuals per 1000 t EU DCF for comparison per 1000 t
NEA-cod + coastal cod
  2008 336 2526 51263   464 16026 196067 12.9 2.4 81.7 125
  2009 272 2669 53350   417 14170 224816 11.9 1.9 63.0 125
  2010 175 2542 39733   338 7671 263816 9.6 1.3 29.1 125
  2011 273 2305 46227   434 10043 331535 7.0 1.3 30.3 125
  2012 356 3132 57954   618 14710 363207 8.6 1.7 40.5 125
  2013 266 2917 81583 84 1275 13940 464258 6.3 2.7 30.0 125
  2014 556 2063 254627 306 1170 14815 465554 4.4 2.5 31.8 125
  2015 498 1654 130514 89 1392 16500 413741 4.0 3.4 39.9 125
  2016 482 2500 91590 401 1398 17027 403907 6.2 3.5 42.2 125
  2017 413 2615 91366 348 1458 15471 408423 6.4 3.6 37.9 125
  2018 873 3163 122788 346 1545 15535 369897 8.6 4.2 42.0 125
  2019 842 3093 135375 337 1457 12519 322233 9.6 4.5 38.9 125
  2020 389 1869 53587 259 653 12431 334773 5.6 2.0 37.1 125
  2021 536 1236 43538 273 738 14708 379931 3.3 1.9 38.7 125
  2022 459 1100 26623 250 643 12860 350445 3.1 1.8 36.7 125
  2023 637 1550 39991 260 610 12204 290227 5.3 2.1 42.0 125
  2024 578 802 34306 295 574 11324 202307 4.0 2.8 56.0 125
2025 372 786 31262 280 585 11601 169598 4.6 3.4 68.4 125
 NEA-haddock
  2008 285 2177 45038   281 9474 72553 30.0 3.9 130.6 125
  2009 233 2255 41481   206 6010 104882 21.5 2.0 57.3 125
  2010 154 2155 38045   232 5458 123517 17.4 1.9 44.2 125
  2011 227 2028 39663   312 7225 158293 12.8 2.0 45.6 125
  2012 258 2609 47995   386 8191 159008 16.4 2.4 51.5 125
  2013 89 2142 62193 86 965 5718 99127 21.6 9.7 57.7 125
  2014 425 1479 114560 126 825 7297 91333 16.2 9.0 79.9 125
  2015 397 1380 76574 47 967 8394 95086 14.5 10.2 88.3 125
  2016 237 1986 47032 208 391 8202 108718 18.3 3.6 75.4 125
  2017 215 2108 57461 150 1084 8805 113206 18.6 9.6 77.8 125
  2018 536 2435 85303 130 1088 8397 93839 25.9 11.6 89.5 125
  2019 497 2269 83378 123 1003 7652 93860 24.2 10.7 81.5 125
  2020 142 1055 32009 70 342 6589 88108 12.0 3.9 74.8 125
  2021 154 1197 31310 81 418 8087 100673 11.9 4.2 80.3 125
  2022 198 1500 31594 70 382 7644 88866 16.9 4.3 86.0 125
  2023 251 1334 26689 71 395 7909 91325 14.6 4.3 86.6 125
  2024 235 861 31262 97 371 6886 71226 12.1 5.2 96.7 125
  2025 166 665 19972 130 348 6735 66659 10.0 5.2 101.0 125
Beaked redfish (S. mentella) **
  2008 13 178 1038   0 0 2214 80.4 0.0 0.0 125
  2009 12 319 1841   2 40 2567 124.3 0.8 15.6 125
  2010 11 284 3664   11 320 2245 126.5 4.9 142.5 125
  2011 9 255 3210   11 298 2690 94.8 4.1 110.8 125
  2012 13 166 2187   13 241 2098 79.1 6.2 114.9 125
  2013 14 184 383 5 13 390 1361 135.2 9.6 286.6 125
  2014 11 36 4664 12 49 5 13402 2.7 3.7 0.4 125
  2015 22 295 8324 5 19 174 19433 15.2 1.0 9.0 125
  2016 23 285 5470 9 23 169 18191 15.7 1.3 9.3 125
  2017 22 234 3507 7 29 177 17077 13.7 1.7 10.4 125
  2018 26 407 7295 8 41 374 18594 21.9 2.2 20.1 125
  2019 21 345 5884 6 38 329 23844 14.5 1.6 13.8 125
  2020 29 475 10796 9 75 686 32950 14.4 2.3 20.8 125
  2021 27 623 17001 6 53 970 43794 14.2 1.2 22.1 125
  2022 27 488 10658 7 71 1238 40716 12.0 1.7 30.4 125
  2023                      
  2024                      
Greenland halibut
  2008 37 500 17394 16 16   7393 67.6 2.2   125
  2009 30 721 34699 11 11   8446 85.4 1.3   125
  2010 22 519 9222       7700 67.4     125
  2011 24 498 9314 3 3   8348 59.7 0.4   125
  2012 22 615 9765 1 4   9331 65.9 0.4   125
  2013 26 497 10554 1 1   10404 47.8 0.1   125
  2014 32 359 5140     1 10997 32.6   0.1 125
  2015 50 390 11200 21 23 1024 10874 35.9 2.1 94.2 125
  2016 77 338 8040 44 50 1179 12932 26.1 3.9 91.2 125
  2017 59 427 10385 23 23 1379 13741 31.1 1.7 100.4 125
  2018 68 437 9083 36 42 1633 14875 29.4 2.8 10.8 125
  2019 61 394 9286 42 47 1884 14867 26.5 3.2 126.7 125
  2020 80 429 9110 48 56 277 14526 29.5 3.9 19.1 125
  2021 62 528 10804 33 34 1056 14008 37.7 2.4 75.4 125
  2022 56 446 8164 37 38 1 13800 32.3 2.8 0.1 125
  2023 65 329 7317 33 33 956 14198 23.2 2.3 67.3 125
  2024 77 354 9982 47 62 1824 11290 31.4 5.5 161.6 125
  2025 87 250 6822 56 56 30 9928 25.2 5.6 3.0 125
                         
 Capelin
  2008 4 3 150   0 0 5000 0.6 0.0 0.0 125
  2009 18 97 7039   39 1039 233000 0.4 0.2 4.5 125
  2010 75 230 6191   47 1291 246000 0.9 0.2 5.2 125
  2011 115 315 8346   48 1313 273000 1.2 0.2 4.8 125
  2012 84 308 9337   29 843 181328 1.7 0.2 4.6 125
  2013 12 213 12215 47 47 773 156340 1.4 0.3 4.9 125
  2014 27 113 9054 1 8 1086 40021 2.8 0.2 27.1 125
  2015 65 722 83776 65 722 5393 71435 10.1 10.1 75.5 125
  2016 7 27 1863 7 27 649 0       125
  2017 21 43 2294 14 25 305 0       125
  2018 68 207 15022 33 76 823 123461 1.7 0.6 6.7 125
  2019 4 26 260 2 13 0 0       125
  2020             0       125
  2021             0       125
  2022 23   2256     673 42597       125
  2023 16   1539     480 37652       125
  2024 32   3200     960 117555       125
  2025     0     0 0       125
Table 1.2. Age and length sampling by Norway of commercial catches in 2008–2025. Number of samples and average number of fish per sample. Also, number of age samples and aged individuals per 1 000 t caught. For comparison, also the EU DCF requirements are shown.

**In addition to age the otoliths are also used for identification of coastal cod.

**Age samples from surveys with commercial trawl come in addition.

***From 2013 No. of unique vessels are split by length and age samples.

****Only from large, meshed gillnets as basis for assessment.

  Year No of length-measured individuals (commercial catches) No of aged individuals (commercial catches) No of aged individuals (surveys) Total no of aged individuals Landings tonnes Length-measured individuals per 1000 t Aged individuals per 1000 t (commercial catches) Total aged individuals per 1000 t EU DCF for comparison per 1000 t
 NEA-cod*                   
  2008 380592 3097 7565 10662 190225 2001 16.3 56 125
  2009 178038 1075 7426 8501 229291 776 4.7 37.1 125
  2010 126502 1828 7670 9498 267547 473 6.8 35.5 125
  2011 122623 2376 5783 8159 310326 395 7.7 26.3 125
  2012*** 140028 2040 7742 9782 329943 424 6.2 29.6 125
  2013 131455 1999 8103 10102 432314 304 4.6 23.4 125
  2014 114538 3110 7154 10264 433479 264 7.2 23.7 125
  2015*** 105721 2486 6095 8581 381188 277 6.5 22.5 125
  2016 158006 5090 2704 7794 394107 401 12.9 19.8 125
  2017 161192 4918 6121 11039 396195 407 12.4 27.9 125
  2018 157048 3129 1982 5111 340364 461 9.2 15 125
  2019*** 83018 2093 3737 5830 316813 262 6.6 18.4 125
  2020*** 112950 3105 3858 6963 312683 361 9.9 22.3 125
  2021 147510 3050 2617 5667 352064 419 8.7 16.1 125
  2022 97732 2588 2557 5145 333697 293 7.8 15.4 125
  2023 77703 2863 2027 4890 276923 281 10.3 17.7 125
  2024 110653 2030 3236 5266 222661 497 9.1 23.7 125
  2025 25212 853 2478 3331 148384 170 5.7 22.4 125
NEA-haddock                  
  2008 216959 2498 5677 8175 68792 3154 36.3 118.8 125
  2009 43254 489 5421 5910 85514 506 5.7 69.1 125
  2010 85445 834 5060 5894 111372 767 7.5 52.9 125
  2011 61990 1570 3584 5154 139912 443 11.2 36.8 125
  2012*** 87880 1545 5034 6579 143886 611 10.7 45.7 125
  2013 42927 1205 4021 5226 85668 501 14.1 61 125
  2014 45447 899 3796 4695 78725 577 11.4 59.6 125
  2015*** 31009 914 2972 3886 91864 338 9.9 42.3 125
  2016 55598 2691 1884 4575 115710 480 23.3 39.5 125
  2017 74297 3554 2614 6168 106714 696 33.3 57.8 125
  2018 61360 2274 1136 3410 90486 678 25.1 37.7 125
  2019*** 44728 1923 1778 3701 76125 588 25.3 48.6 125
  2020*** 69301 2356 1575 3931 89030 778 26.5 44.2 125
  2021 40370 1450 1504 2954 98296 411 14.8 30.1 125
  2022 33251 2068 1550 3618 82364 404 25.1 43.9 125
  2023 23466 1543 2031 3574 81751 287 18.9 43.7 125
  2024 74904 1561 1938 3499 64423 1163 24.2 54.3 125
  2025 19363 675 1747 2422 55327 350 12.2 43.8 125
S. mentella                  
  2008 21446 471 3379 3850 7117 3013 66.2 541 125
  2009 29435 761 1447 2208 3843 7659 198 574.6 125
  2010 2776 100 2295 2395 6414 433 15.6 373.4 125
  2011 917 7 640 647 5037 182 1.4 128.4 125
  2012 7802 422 1146 1568 4101 1902 102.9 382.3 125
  2013 19092 1253 1625 2878 3677 5192 340.8 782.7 125
  2014 817 25 1297 1322 1704 479 14.7 775.8 125
  2015 771   1818 1818 1142 675 0 1591.9 125
  2016 27765 1076 85 1161 8419 3298 127.8 137.9 125
  2017 958 99 1000 1099 4952 193 20 221.9 125
  2018 21004 845 39 884 10497 2001 80.5 84.2 125
  2019 6881 400 469 869 13164 523 30.4 66 125
  2020 8718 340 612 952 13997 623 24.3 68 125
  2021 7587 400 215 615 14887 510 26.9 41.3 125
  2022 1402 257 142 399 16717 84 15.4 23.9 125
  2023 2335 313 96 409 13976 167 22.4 29.3 125
  2024 1650 75 391 466 16235 102 4.6 28.7 125
  2025 5057 201 108 309 15494 326 13.0 19.9 125
Greenland halibut                  
  2008 106411 1519 3366 4885 5294 20100 286.9 922.7 125
  2009 77554 819 2282 3101 3335 23255 245.6 929.8 125
  2010 32090 416 2784 3200 6888 4659 60.4 464.6 125
  2011 9892 115 1541 1656 7053 1403 16.3 234.8 125
  2012 82943 2140 2506 4646 10041 8260 213.1 462.7 125
  2013 12608 555 2756 3311 10310 1223 53.8 321.1 125
  2014 24346 633 2106 2739 10061 2420 62.9 272.2 125
  2015 22116 575 2489 3064 12953 1707 44.4 236.5 125
  2016 11818 574 221 795 10576 1117 54.3 75.2 125
  2017 24061 1205 1579 2784 10713 2246 112.5 259.9 125
  2018 21893 954 308 1262 12072 1814 79 104.5 125
  2019 861 125 1552 1677 12198 71 10.2 137.5 125
  2020 1387 165 1853 2018 12266 113 13.5 164.5 125
  2021 3920 225 362 587 12396 316 18.2 47.4 125
  2022 2883 404 163 567 11746 245 34.4 48.3 125
  2023 22057 1411 262 1673 11317 1949 124.7 147.8 125
  2024 7153 452 1618 2070 9581 747 47.2 216.1 125
  2025 18477 512 327 839 8440 2189 60.7 99.4 125
Capelin                    
  2008** 82625 1644 2341 3985 5000 16525 328.8 797.0 125
  2009 94541 900 2511 3411 73000 1295 12.3 46.7 125
  2010 67265 1072 4043 5115 77000 874 13.9 66.4 125
  2011 63784 1273 2271 3544 86531 737 14.7 41.0 125
  2012 20023 1130 1783 2913 68182 294 16.6 42.7 125
  2013 54708 1565 1007 2572 60413 906 25.9 42.6 125
  2014 13206 850 1249 2099 25720 513 33.0 81.6 125
  2015 27200 1000 1004 2004 115       125
  2016 8669 3954 1047 5001 0       125
  2017     4115 4115 6       125
  2018 14491 250 1050 1300 65934 220 3.8 19.7 125
  2019     1498 1498 34       125
  2020     1245 1245 19       125
  2021 0 0 1606 1606 8       125
  2022 13976 600 300 900 22649 617 26.5 39.7 125
  2023 15309 350 802 1152 23043 664 15.2 50.0 125
  2024 21342 550 1360 1910 51128 417 10.8 37.4 125
  2025 0 0 475 475          
Table 1.3. Age and length sampling by Russia of commercial catches and age sampling of surveys in 2008–2025. Also, length-measured individuals and aged individuals per 1000 t caught. For comparison also the EU DCF requirements are shown.  

*In addition, also used long-term mean age–length keys.  

**Age samples from surveys with commercial trawl come in addition.  

***In addition, used length samples from Russian vessels, sampled by the Norwegian Coast Guard in 2012, 2015, 2019, 2020, 2023 and 2025.  

Stock Year No of vessels No of length-measured individuals (commercial catches) No of aged individuals (commercial catches) No of aged individuals (surveys) Total no of aged individuals Landings tonnes Length-measured individuals per 1000 t Aged individuals per 1000 t (commercial catches) Total aged individuals per 1000 t EU DCF for comparison per 1000 t
                       
 NEA-cod                      
  2008 2 10108 610   610 9658 1047 63 63 125
  2009 2 8733 1834   1834 12013 727 153 153 125
  2010 2 28297 1735   1735 12657 2236 137 137 125
  2011 2 11633 964   964 13291 875 73 73 125
  2012 2 9849 998   998 12814 769 78 78 125
  2013 2 30295 2381   2381 15041 2014 158 158 125
  2014 2 27828 2306   2306 16479 1689 140 140 125
  2015 2 18568 1445   1445 18772 989 77 77 125
  2016 2 27937 1246   1246 14640 1908 85 85 125
  2017 2 33984 2018   2018 14414 2358 140 140 125
  2018 1 25933 911   911 14415 1799 63 63 125
  2019 1 5781 1117   1117 13939 415 80 80 125
  2020           11403       125
  2021 2 23891 1314   1314 11080 2156 119 119 125
  2022 2 22791 345   345 12214 1866 28 28 125
  2023                    
  2024                    
                       
NEA-haddock*                    
  2009 1 2561       240        
  2010 1 3243       379        
  2011 1 1796       408        
  2012 2 3198       647        
  2013 1 660       413        
  2014 1 2460       370        
  2015 1 702       418        
  2016 2 701       357        
  2017 1 710       156        
  2018 1 154       169        
  2019           280        
  2020           45        
  2021           131        
  2022           187        
  2023                    
  2024                    
S. mentella                      
  2008** 1 2275 28     987 2304 28 0 125
  2011* 1 86       1237        
  2012** 2 11579 476     1612 7183 295 0 125
  2014** 1 6177       1146 5390      
  2015** 1 6117       2371 2580      
  2016** 1 11806       3133 3768      
  2017** 1 5015       2624 1911      
  2018** 1 11638       2399 4851      
  2019** 1 11952       1908 6265      
  2020**           737        
  2021** 1 2074 157     280 7396      
  2022           277        
  2023                    
  2024                    
Greenland halibut
  2008 2 11662       112 103826      
  2009 1 3383       210 16143      
  2010 1 5783       182 31800      
  2011 1 8541       169 50600      
  2012 1 4809       186 25907      
  2013 1 11988       190 63019      
  2014 1 12002       206 58262      
  2015 1 17552       111 158126      
  2016 1 15031       218 68837      
  2017                    
  2018                    
  2019 1         49        
  2020           96        
  2021           125        
  2022           164        
  2023           72        
  2024                    
Table 1.4. Age and length sampling by Spain0F1 of commercial catches and length sampling of surveys in 2008–2024. Also, length-measured individuals and aged individuals per 1000 t caught. For comparison also the EU DCF requirements are shown.

*Sampling from bycatch in cod fishery.

**Sampling from pelagic redfish fishery.

***Sampling from Spanish Greenland halibut survey.

  Year No of unique vessels No of length samples No of length-measured individuals No of aged individuals Landings tonnes Length-measured individuals per 1000 t Age-sampled individuals per 1000 t EU DCF for comparison
NEA cod
  2008 5 3 65800 2033 4955 13280 410 125
  2009 5 2 43107 2419 8585 5021 282 125
  2010 5 2 51923 3075 8442 6151 364 125
  2011 4 1 7318 769 4621 1584 166 125
  2012 4 2 16315 1924 8500 1919 226 125
  2013 4 2 29281 2043 7939 3688 257 125
  2014 4 1 23137 1291 6225 3717 207 125
  2015 4 1 39335 886 6427 6120 138 125
  2016 3 1 22109 1060 6636 3332 160 125
  2017 4 1 19942 785 5969 3341 132 125
  2018 4 2 43371 2283 7774 5579 294 125
  2019 2 1 17954 1444 8535 2104 169 125
  2020 2 1 21716 1021 9786 2219 104 125
  2021 2 1 21548 1393 5470 3939 255 125
  2022 2 1 14795 986 7171 2063 137 125
  2023                
  2024                
NEA haddock                  
  2008 5 3 5548 442 535 10370 826 125
  2009 5 2 23348 958 1957 11931 490 125
  2010 5 2 54704 1039 3539 15457 294 125
  2011 4 1 1925 160 1724 1117 93 125
  2012 4 2 4088 502 1111 3680 452 125
  2013 4 1 7040 478 501 14052 954 125
  2014 4 1 3113 261 340 9156 768 125
  2015 4 1 616 325 124 4968 2621 125
  2016 3 1 4807 544 170 28276 3200 125
  2017 4 1 3464 527 155 22348 3400 125
  2018 4 2 4345 497 391 11113 1271 125
  2019 2 1 5031 393 208 24188 1889 125
  2020 2 1 2979 356 283 10527 1258 125
  2021 2 1 2808 344 368 7630 935 125
  2022 2 1 3270 399 271 12066 1472 125
  2023                
  2024                
Redfish                  
  2008 5 3 330 0 46 7174 0 125
  2009 8 2 0 0 100 0 0 125
  2010 6 2 0 0 52 0 0 125
  2011 6 1 7937 0 844 9404 0 125
  2012 9 2 4036 0 584 6911 0 125
  2013 4 1 1315 0 81 16235 0 125
  2014 4 1 571 0 451 1266 0 125
  2015 4 1 76 0 266 286 0 125
  2016 3 1 6095 0 497 12264 0 125
  2017 4 1 977 0 770 1269 0 125
  2018 4 2 3438 0 2508 1371 0 125
  2019 2 1 8958 0 1741 5145 0 125
  2020 3 1 4248 0 1998 2126 0 125
  2021 2 1 2261 0 743 3043 0 125
  2022 2 1 8525 0 896 9515 0 125
  2023                
  2024                
Greenland halibut                
  2008 5 2 0 0 5 0 0 125
  2009 3 2 0 0 19 0 0 125
  2010 2 2 0 0 14 0 0 125
  2011 3 1 0 0 81 0 0 125
  2012 4 2 0 0 40 0 0 125
  2013 3 1 1298 0 49 26544 0 125
  2014 4 1 1076 0 34 31647 0 125
  2015 4 1 658 0 32 20563 0 125
  2016 3 1 365 0 9 40556 0 125
  2017 4 1 0 0 21 0 0 125
  2018 4 1 257 0 52 4942 0 125
  2019 2 1 511 0 45 11356 0 125
  2020 2 1 305 0 74 4122 0 125
  2021 2 1 160 0 88 2222 0 125
  2022 2 1 672 0 95 7074 0 125
  2023 2 1 161 0 76 2118 0 125
  2024                
Table 1.5. Age and length sampling by Germany of commercial catches and age sampling of surveys in 2008–2024. Also, length-measured individuals and aged individuals per 1 000 t caught. For comparison also the EU DCF requirements are shown.

References

Breivik, O.N, Storvik, G. and Nedreaas, K. 2017. Latent Gaussian models to predict historical bycatch in commercial fishery, Fisheries Research, Volume 185, Pages 62-72, ISSN 0165-7836, https://doi.org/10.1016/j.fishres.2016.09.033 .

Gjøsæter, H., Hallfredsson, E. H., Mikkelsen, N., Bogstad, B., and Pedersen, T. 2016. Predation on early life stages is decisive for year class strength in the Barents Sea capelin ( Mallotus villosus ) stock. ICES Journal of Marine Science 73(2):182-195. doi:   10.1093/icesjms/fsv177

Howell et al. 2024. Report of the Joint Russian-Norwegian Working Group on Arctic Fisheries (JRN-AFWG). IMR PINRO 2024-7. https://www.hi.no/hi/nettrapporter/imr-pinro-en-2024-7

Johannesen, E., Ottersen, G., Berg, F., Bogstad, B., Dalpadado, P., Denechaud, C., Eriksen, E., Fossheim, M., Frøysa, H. G., Johansen, T., Korsbrekke, K., Moland, E., Olsen, E. M., Sandø, A. B., Skaret, G., Skogen, M., and Vikebø, F. 2026. The abrupt and persistent decline in recruitment success in Northeast Arctic cod: a review of probable causes. Fish and Fisheries 27(3):643–659. DOI:  10.1111/faf.70074

Mette Skern - Mauritzen , Ulf Lindstr ø m , Martin Biuw , Bjarki Elvarsson , Thorvaldur Gunnlaugsson , Tore Haug , Kit M Kovacs , Christian Lydersen , Margaret M McBride , Bjarni Mikkelsen , Nils Ø ien , G í sli V í kingsson 2022. Marine mammal consumption and fisheries removals in the Nordic and Barents Seas. ICES Journal of Marine Science, Volume 79, Issue 5, July 2022, Pages 1583–1603, https://doi.org/10.1093/icesjms/fsac096

Ottersen, G., Bogstad, B., Yaragina, N. A., Stige, L. C., Vikebø, F., and Dalpadado, P. 2014. A review of early life history dynamics of Barents Sea cod ( Gadus morhua ). ICES Journal of Marine Science 71(8): 2064-2087.

Planque, B., Bas, L., Biuw, M., Blanchet M.A., Bogstad, B., Eriksen, E., et al. .2024. A food-web assessment model for marine mammals, fish, and fisheries in the Norwegian and Barents Seas. Progress in Oceanography, https://doi.org/10.1016/j.pocean.2024.103361

3. Cod in subareas 1 and 2 (Northeast Arctic)

3.1 Status of the fisheries

3.1.1 Historical development of the fisheries (Table 3.1)

From a level of about 900 000 t in the mid-1970s, total catch declined steadily to around 300 000 t in 1983—1985 (Table 3.1). Catches increased to above 500 000 t in 1987 before dropping to 212 000 t in 1990, the lowest level recorded in the post-war period. The catches increased rapidly from 1991 onwards, stabilizing at around 750 000 t in 1994—1997 but decreased to about 414 000 t in 2000. From 2000—2009, the reported catches were between 400 000 and 520 000 t. In addition, there were unreported catches (see below). Catches decreased from a peak of 986 000 t in 2014 to 693 000 t in 2019-2020 before increasing to 767 000 t in 2021 and decreasing again to 453 040 t in 2024 and 329 468 t in 2025.

The fishery is conducted both with an international trawler fleet and with coastal vessels using traditional fishing gears. Quotas were introduced in 1978 for the trawler fleets and in 1989 for the coastal fleets. In addition to quotas, the fishery is regulated by a minimum catch size, a minimum mesh size in trawls and Danish seines, a maximum bycatch of undersized fish, closure of areas having high densities of juveniles and by seasonal and area restrictions.

3.1.2 Reported catches prior to 2026 (Tables 3.1-3.4, Figure 3.1)

The provisional catch of cod in Subarea 1 and divisions 2.a and 2.b for 2025 reported to the working group is 369 566 t (including both NEA cod and NCC catches).

The historical practice (considering catches between 62°N and 67°N for the whole year and catches between 67°N and 69°N for the second half of the year to be Norwegian coastal cod) has been used for estimating the Norwegian landings of Northeast Arctic cod up to and including 2011 (Table 3.2). The catches of coastal cod subtracted from total cod catches in Subarea 1 and divisions 2.a and 2.b for the period 1960—2025 are given in Table 3.2. For 2012–2025 the Norwegian catches have been analyzed by an ECA-version designed for simultaneously providing estimates of catch numbers-at-age for each of the two stocks.

Coastal cod catches in 2025 for the southern and northern area combined were 40 098 tonnes and this amount was as in previous years subtracted from the total cod catch north of 62° N to get the figure for NEA cod used in that assessment (Table 3.1 and 3.2).

The time series for coastal cod catches are now inconsistent with the coastal cod catches presented in ICES AFWG 2026 Chapter 2, as the coastal cod catch time series were revised at WKBarFar (ICES 2021a), but not the NEA cod time series. At WKBarFar, the proposal for revision of NEA cod catch data series was rejected, as Norwegian data for many years and age groups (especially ages 12+ in years prior to 2013) were changed considerably and the reason for this was not sufficiently explained. WKBarFar recommended that when the revision of the historical Norwegian catch data is ready it should be submitted to ICES for review, ideally by a review attached to the AFWG.

The catch by area is shown in Table 3.1 and further split into trawl and other gears in Table 3.3. The distribution of catches by gears and areas in 2025 was similar to 2024. The nominal landings by country are given in Table 3.4.

There is information on cod discards (see ICES AFWG 2021 section 0.4, ICES 2021b) but it was not included in the assessment because these data are fragmented and different estimates are in contradiction with each other. Moreover, the level of discards is relatively small in the recent period and including these estimates in the assessment should not change our perception of NEA cod stock size.

In summer/autumn 2018, a Norwegian vessel caught 441 t of cod in the Jan Mayen EEZ, which is a part of ICES area 2a, mostly by long-line. Cod is known to occasionally occur in this area, but rarely in densities which are suitable for commercial fisheries. The cod caught in this area in 2018 was large (65-110 cm), and otolith readings and genetics both showed this cod to be a mix of Northeast Arctic and Icelandic cod. Norway did in 2019-2020 carry out an experimental long-line fishery during four different periods in each year in order to investigate further the occurrence of cod in this area in space and time as well as stock identity. A description of this fishery as well as a historic overview of cod observations around Jan Mayen is given in Bogstad (2023).

Quotas, catches and advice for the period 2019-2026 for cod in the Jan Mayen area are given in Table 3.1a. These catches are not included in the catch statistics for Northeast Arctic cod. No directed fishery for cod was allowed in 2025, but 5 t were caught as bycatch in the Greenland halibut fishery.

3.1.3 Unreported catches of Northeast Arctic cod (Table 3.1)

In the years 2002—2008, certain quantities of unreported catches (IUU catches) have been added to the reported landings. More details on this issue are given in the Working group reports for that period.

There are no reliable data on level of IUU catches outside the periods 1990—1994 and 2002—2008, but it is believed that their level was not substantial enough to influence historical stock assessment.

According to reports from the Norwegian-Russian analysis group on estimation of total catches, the total catches of cod since 2009 were very close to officially reported landings.

3.1.4 TACs and advised catches for 2025 and 2026

The Joint Norwegian-Russian Fisheries Commission (JNRFC) agreed on a cod TAC of 340 000 t for 2025, and in addition 21 000 t Norwegian coastal cod. The total reported catch of 329 468 t in 2025 was 10 532 t below the agreed TAC. Since 2015, JNRFC has decided that Norway and Russia can transfer to next year or borrow from last year 10% of the cod country’s quota. That may lead to some deviation between agreed TAC and reported catch. As an extraordinary measure due to expected underfishing of the TAC in 2021, JNRFC decided that it should be possible to transfer 15% of the TAC between 2021 and 2022, but thereafter the maximum transfer was reset back to the agreed 10%.

The advice for 2026 given by JRN-AFWG in 2025 was 269 440 t based on the agreed harvest control rule. The quota established by JNRFC for 2026 was set to 285 000 t. In addition, the TAC for Norwegian Coastal Cod was set to the same value for 2026 as for 2025: 21 000 t.

3.2 Status of research3.2.1 Fishing effort and CPUE (Table A1, Figure 3.4a-b)

CPUE series of the Russian and Norwegian trawl fisheries are given in Table A1 and described in Kovalev (2025, WD 1) and Gundersen et al. (WD2). The Russian series have been combined by area and vessel type since last year (Kovalev 2025, WD 1). The data reflect the total trawl effort (Figure 3.4a and 3.4b), both for Norway and Russia. Norwegian data for 2011–2025 are not compatible with data for 2007 and previous years. Norwegian CPUE (double trawl which is now the main gear used) has declined from 2020 to 2021 and has then stabilized (Figure 3.4b). Russian CPUE has declined in a similar way as total stock biomass has decreased in recent years (r2 = 0.73), while the 2025 CPUE shows a slight increase (Figure 3.4a).

3.2.2 Survey results - abundance and size at age (Tables 3.5, A2-A14, Figure 3.5)

Joint Barents Sea winter survey (bottom trawl and acoustics) Acronyms: BS-NoRu-Q1 (BTr) and BS-NoRu-Q1 (Aco)

The 2026 survey was carried out as planned with relatively good spatial coverage.

Before 2000 this survey was made without participation from Russian vessels, while in 2001—2005, 2008—2016 and 2018-2026, Russian vessels have covered important parts of the Russian zone. In 2006—2007 the survey was carried out only by Norwegian vessels. In 2007, 2016, and 2021-2026 the Norwegian vessels did not cover any part of the Russian EEZ. The methods for adjustment for incomplete area coverage are described in detail in Godiksen et al. (2025) and references therein. Table 3.5 shows areas covered in the time-series and the additional areas implied in the method used to adjust for missing coverage in the Russian Economic Zone.

Regarding the older part of this time-series it should be noted that the survey prior to 1993 covered a smaller area (Jakobsen et al . 1997), and the number of young cod (particularly 1- and 2-years old fish) was probably underestimated. Changes in the survey methodology through time are described in Appendix 2 in Godiksen et al. (2025). Note that the change from 35 to 22 mm mesh size in the codend in 1994 is not corrected for in the time-series. This mainly affects the age 1 indices.

It is likely that in some of the recent years the coverage in the February survey (BS-NoRu-Q1 (BTr) and BS-NoRu-Q1 (Aco)) has been incomplete, in particular for the younger ages. This could cause a bias in the assessment and recruitment estimation, but the magnitude is unknown. The coverage in 2026 was, however, quite extensive and better than in previous years. The 2014–2026 surveys covered considerably larger areas than earlier winter surveys and showed that most age groups of cod (particularly ages 1 and 2) were distributed far outside the standard survey area. The bottom trawl survey estimates including the extended area for 2014-2026 were used in the tuning data separately from the same index before 2014, as decided at WKBarFar 2021 (ICES 2021a).

The distribution of young cod (less than 35 cm, mainly ages 1-3, which are all weak year classes) in the 2025 and 2026 surveys demonstrated an atypical distribution (Fig. 3.5). The proportion of fish found in the northwestern part was much higher than usual and the proportion in the southeastern part was much lower than usual. The feeding conditions in Northern areas may be worse than in the southeast which could increase natural mortality and have negative impact on recruitment success.

Lofoten acoustic survey on spawners Acronym: Lof-Aco-Q1

The estimated abundance indices from the Norwegian acoustic survey off Lofoten and Vesterålen (the main spawning area for this stock) in March/April are given in Table A4. A description of the survey, sampling effort and details of the estimation procedure can be found in Korsbrekke (1997). The 2026 survey result in biomass terms was 74 thousand tonnes, which is above the 2025 level but below the 2024 level. The 2025 level was the lowest since 1988.

A pilot survey on spawning grounds north of the area covered by the Lofoten survey was carried out in 2023 (Korsbrekke 2024), at about the same time and in the same way as the Lofoten survey. The total abundance in that area was about 17% of that in the Lofoten area. The area covered by this pilot survey is mostly covered also by the winter survey, but with much larger distance between transects at that time.  Such a survey was not carried out in 2024 or 2025. Extra coverage of this area in the winter survey should be considered as the fishery on spawning cod has shifted northwards in recent years. Such extended area coverage was planned for 2026 but was cancelled due to vessel problems.

Joint Ecosystem survey Acronym: Eco-NoRu-Q3 (Btr)

Swept area bottom trawl estimates from the joint Norwegian-Russian Ecosystem survey (BESS) in August-September for the period 2004–2025 are given in Table A14. This survey normally covers the entire distribution area of cod at that time of the year.

In 2014 this survey had an essential problem with area coverage in the north-west region because of difficult ice conditions. During the 2013 survey, a substantial part of population was distributed in the area covered by ice in 2014. Based on those observations AFWG decided in 2015 to exclude 2014 year from that tuning series in current assessment. In 2016 there was incomplete coverage in the international waters and close to the Murman coast. An adjustment for this incomplete coverage was made based on interpolation from adjacent areas (Kovalev et al. 2017, WD 12). At this time of the year, usually a relatively small part of the cod stock is found in the area which was not covered in 2016. In 2017 and 2019 the coverage was close to complete, although the far northeastern part of the survey area (west of the north island of Novaya Zemlya) was not covered due to military restrictions. In 2018, a large area in the eastern part of the Barents Sea was not covered. Thus, it was decided not to include 2018 data from this survey in the assessment.

The coverage in 2020 was less synoptic than usual, but it was decided to keep the results in the assessment. The 2021, 2023 and 2025 coverages were adequate.

In 2022 the coverage of the Russian EEZ was done much later than the coverage of the Norwegian EEZ, with the entire survey period being from 15 August to 3 December (van der Meeren and Prozorkevitch, 2023). Also, some areas were not covered. Indices based on the combined data have been calculated (Table A14), but due to the poor synopticity and incomplete coverage it was decided not to use the index for that year in the assessment. In 2024 the coverage was somewhat incomplete west of Svalbard (van der Meeren and Prozorkevitch, 2025), while the coverage was adequate in 2025.

The survey indices are calculated both by the BioFox and StoX calculation methods, and as in earlier years, the Biofox series was used in tuning. A research recommendation from WKBarFar was to unify these two methods for estimating indices from the Ecosystem survey. However, the benchmark decided to use weight at age from StoX in calculations of weight at age used in the assessment.

Russian autumn survey Acronym: RU-BTr-Q4

Abundance estimates from the Russian autumn survey (November-December) are given in Table A9 (acoustic estimates) and Table A10 (bottom trawl estimates). The entire bottom trawl time-series was in 2007 revised backwards to 1982 (Golovanov et al ., 2007, WD3), using the same method as in the revision presented in 2006, which went back to 1994. The new swept area indices reflect Northeast Arctic cod stock dynamics more precisely compared to the previous one - catch per hour trawling. The Russian autumn survey in 2006 was carried out with reduced area coverage. Divisions 2a and 2b were adequately investigated in the survey in contrast to Subarea 1, where the survey covered approximately 40% of the long-term average area coverage. The Subarea 1 survey indices were calculated based on actual covered area (40 541 sq. miles). The 2007 AFWG decided to use the “final" year class indices without any correction because of satisfactory internal correspondence between year class abundances at age 2—9 years according to the 2006 survey and ones due to the previous surveys.

This survey was not conducted in 2016, but was carried out in 2017, when 79% of the standard survey area was covered (Sokolov et al 2018, WD 11). The index shows a reliable internal consistency, and it was decided to use it in the assessment. This survey was not carried out in 2018-2025 and is discontinued.

Survey results - length and weight-at-age (Tables A5-A8, A11-A12, A15, A16)

Length-at-age is shown in Table A5 for the Joint Barents Sea winter survey, in Table A7 for the Lofoten survey and in Table A11 for the Russian survey in October-December. Weight-at-age is shown in Table A6 for the Joint Barents Sea winter survey, in Table A8 for the Lofoten survey, Table A12 for the Russian survey in October-December and Table A15 for the Ecosystem survey (calculated using StoX). Table A16 presents combined data on Weight-at-age from Joint Barents Sea winter survey and Lofoten survey.

Length and weight at age in the Joint Barents Sea winter survey decreased for ages 3-5, but was fairly stable for the other age groups. Weight at age in the Lofoten survey in 2026 was similar to 2025. The weight at age in the Ecosystem survey in 2025 decreased for ages 1-7 compared to 2024.

3.2.3 Age reading

Cooperation and quality assurance on age reading started in the early 1990s and helps to maintain a good agreement of age readings made by Norwegian and Russian experts. The joint Norwegian-Russian work on cod otolith reading has for many years included regular exchanges of otoliths and age readers (see ICES 2021b chapter 0.7). The results of fifteen years of annual comparative age readings are described in Yaragina et al . (2009). Zuykova et al . (2009) re-read old otoliths and found no significant difference in contemporary and historical age determination and subsequent length at age. However, age at first maturation in the historical material as determined by contemporary readers is somewhat younger (from -0.6 years for the 1940-1950s to -0.28-0 years for the 1970-1980s) than that determined by historical readers. Taking this difference into account would thus affect the spawning stock-recruitment relationship and thus the biological reference points.

The overall percentage agreement for the 2017–2018 exchange was 87.7% (Zuykova et al. 2020). The main reason for cod ageing discrepancies between Russian and Norwegian specialists remains the same, representing the latest summer growth zone, and different interpretations of the false zones. The general trend is that the Russian readers assign slightly lower ages than the Norwegian readers compared to the modal age for age groups 7 years and older. This is opposite of what we have seen in previous readings, where the Russian readers have tended to be slightly overestimating the age compared to the Norwegian readers for younger fish (1-5 years), underestimating for older fish (>10 years) and reading without significant difference for ages 6-9 years. The trend with bias in NEA cod age determination registered for some years of the period 1992–2018 between experts of both countries is a solid argument to continue comparative cod age reading between PINRO and IMR to monitor the situation.

In lack of a system for transferring otoliths between IMR and the Polar Branch of VNIRO, cod and haddock otoliths from 2019-2024 have not been exchanged between the parties, and regular calibration of age readings has been on hold. From 2025, in the absence of a system for transferring otolith samples between IMR and the Polar Branch of VNIRO, the scientists have exchanged images of cod and haddock otoliths (100 and 110 specimens respectively from Norwegian catches). Images of otoliths will temporarily be used instead of a physical exchange of otoliths until a system for exchange is in place. Norwegian otoliths collected in 2024 have been embedded in epoxy, cut and photographed by Norwegian specialists, and images have been shared with the Polar Branch of VNÌRO according to the agreed plans of the long-term cooperation.

Specialists at the Polar Branch of VNIRO have annotated the cod and haddock otoliths in the Paint 3D program using the agreed technique and workshops were held online in 2025. During these virtual workshops, the annotated otolith images and their corresponding ages were discussed between all IMR and VNIRO readers. The results were positive and two detailed documents (WD 7-8, 2025) were presented at JRN-AFWG. Based on the discussion, it was concluded that the age-determination methodology used by specialists from both institutes remains the same, however, the initial agreement rate for cod and haddock otoliths collected in 2024 was slightly lower than the results of the comparison of the otoliths themselves collected in 2017-2018.

A similar exchange of data and subsequent online workshop will take place in 2026-2027.

3.3 Data available for use in assessment

Data for the period 1946–1983 are taken from the AFWG 2001 report (ICES 2001) and were not revised at the WKBarFar benchmark in 2021.

3.3.1 Catch-at-age (Table 3.6)

For 2025, age compositions from all ICES areas (1, 2a, 2b) were available from Norway, Russia and Spain. Germany provided age compositions from ICES area 2b.

There is a concern about the biological sampling from parts of both the Norwegian and Russian fishery that may be too low or missing. Also, the split between NEA cod and coastal cod may be affected by the sampling coverage. Data from Norwegian Coast Guard vessels’ length measurements onboard Russian vessels in some quarters of 2025 were used for calculation of age composition of Russian catches in Division 1, and areas 2a and 2b.

3.3.2 Survey indices available for use in assessment (Table 3.13, A3, A13, A14)

The following survey data series were available:

Fleet code Name Place Season Age Years
Fleet 15* Joint bottom trawl survey Barents Sea Feb-Mar 3–12+ 1981–2013, 2014-2026
Fleet 16 Joint acoustic survey Barents Sea+Lofoten Feb-Mar 3–12+ 1985–2026
Fleet 18 Russian bottom trawl surv. Barents Sea Oct-Dec 3–12+ 1982–2017
Fleet 007 Ecosystem surv. Barents Sea Aug-Sep 3–12+ 2004–2025**

*Survey indices for Fleet 15 were divided by two series (before and after 2014) in model tuning as decided at WKBarFar 2021.

**2014, 2018 and 2022 data not used in the assessment

The tuning fleet file is shown in Table 3.13. Note that the joint acoustic survey (sum of Barents Sea and Lofoten acoustic survey indices) is given in Table A13.

Survey indices for Fleet 15 have been multiplied by a factor 100, while survey indices for Fleets 007, 16 and 18 have been multiplied by a factor 10 (Table A3, A14). This is done to keep the dynamics of the surveys even for very low indices, because some models (e.g. XSA) add 1.0 to the indices before the logarithm is taken.

3.3.3 Weight-at-age (Tables 3.7-3.9, A6, A8, A12, A16).

Catch weights

For 2025, weight-at-age in the catch for areas 1, 2a and 2b was provided by Norway, Russia, Spain and Germany (2b only) (Table 3.7). For ages up to and including 11, observations are used. Following the WKBarFar 2021 decision, weight at age in catch for the years 1983-present for ages 12-15+ are calculated by a cohort-based von Bertalanffy approach used to replace previous fixed values.

Stock weights

For ages 1—11 stock weights-at-age at the start of year y (Wa,y ) for 1983—2025 are calculated combining, when available, weight at age from the Winter, Lofoten, Russian autumn and Ecosystem surveys. The details are given in the Stock Annex. For ages 12-15+ a similar approach as for weight at age in the catch was used. For older age groups, stock weights are higher than catch weights. The reason for this should be investigated.

3.3.4 Natural mortality including cannibalism (Table 3.12, Table 3.17)

A natural mortality (M) of 0.2 + cannibalism was used. Cannibalism is assumed to only affect natural mortality of ages 3-6.

2025 data are available, and 2024 data have been updated.

The method used for calculation of prey consumption by cod described by Bogstad and Mehl (1997) is used to calculate the consumption of cod by cod for use in cod stock assessment. The consumption is calculated based on cod stomach content data taken from the joint PINRO-IMR stomach content database (methods described in Mehl and Yaragina 1992). On average about 9000 cod stomachs from the Barents Sea have been analyzed annually in the period 1984—2025.

These data are used to calculate the per capita consumption of cod by cod for each half-year (by prey age groups 0—6 and predator age groups 1–11+). It was assumed that the mature part of the cod stock is found outside the Barents Sea for three months during the first half of the year. Thus, consumption by cod in the spawning period was omitted from the calculations.

An iterative procedure was applied to include the per capita consumption data in the SAM run. It is described in detail in Stock Annex.

For the cod assessment data from annual sampling of cod stomachs has been used for estimating cannibalism, since the 1995 assessment. The argument has been raised that the uncertainties in such calculations are so large that they introduce too much noise in the assessment. A rather comprehensive analysis of the usefulness of this was presented in Appendix 1 in the 2004 AFWG report (ICES 2004). The conclusion was that it improves the assessment.

The data on cod cannibalism for the historical period (1946—1983) was included in assessment during the benchmark to make the time-series consistent (ICES 2015a, WKARCT 2015). These estimates were based on hindcasted values of NEA cod natural mortality at ages 3—5 using PINRO database on food composition from cod stomach for the historical period (Yaragina et al . 2018).

3.3.5 Maturity-at-age (Tables 3.10-3.11)

Historical (pre–1982) Norwegian and Russian time-series on maturity ogives were reconstructed by the 2001 AFWG meeting (ICES 2001). The Norwegian maturity ogives were constructed using the Gulland method for individual cohorts, based on information on age at first spawning from otoliths. For the time period 1946—1958 only the Norwegian data were available. The Russian proportions mature-at-age, based on visual examinations of gonads, were available from 1959.

Since 1982 Russian and Norwegian survey data have been used (Table 3.10). For the years 1985—2026, Norwegian maturity-at-age ogives have been obtained by combining the Barents Sea winter survey and the Lofoten survey. Russian maturity ogives from the autumn survey as well as from commercial fishery for November-February are available from 1984 until present. The Norwegian maturity ogives tend to give a higher percent mature-at-age compared to the Russian ogives, which is consistent with the generally higher growth rates observed in cod sampled by the Norwegian surveys. The percent mature-at-age for the Russian and Norwegian surveys have been arithmetically averaged for all years, except 1982—1983 when only Norwegian observations were used and 1984 when only Russian observations were used.

Russian data for the autumn survey for 2018 and later years were not available as the survey was not conducted. In WD15, 2019, updated correction factors to allow for this when calculating the combined maturity-at-age in 2019 were calculated, based on historical differences between Norwegian and Russian data. These correction factors were then applied to the Norwegian data for 2020-2026.

The approach used for calculating maturity at age is the same as previously used and consistent with the approach used to estimate the weight-at-age in the stock, except that no data from the Ecosystem survey are used. However, since survey data, both abundance indices and proportion mature, have been revised, the entire time series of ogives back to 1994 was revised at the benchmark. The proportions of mature cod for age 13–15 are set to 1 for the period 1984–present.

Maturity-at-age for cod has been variable the last years, particularly for ages 6–9. According to the combined data, maturity at age increased slightly from 2025 to 2026 for age groups 6-10 (Table 3.11).

A revision of the pre-1982 Norwegian maturity time series should be considered in the future (Kjesbu et al. 2025).

3.4 Assessment using SAM

3.4.1 SAM settings (Table 3.14)

The SAM model settings optimized by WKBarFar are shown in Table 3.14. This year the “predvarobs” option, which allows for a functional relationship between observation variance and the corresponding prediction was included in SAM. An estimated relationship between observation variance and predicted value for each individual observation allows the model to assign smaller (or larger) variance to predicted larger log-observations. This relation is different from the usual assumption of constant variance of log-observations within age groups. The prediction–variance link was implemented and compared to the usual constant variance assumption for the official assessments of North East Arctic cod and haddock by Breivik et al. (2021). For both of these stocks, the prediction–variance link is found to give a significant improvement and for Northeast Arctic haddock it was implemented at the latest benchmark and has been in use since then. In 2026, this option was also implemented in the ICES NEA saithe assessment (ICES, 2026) and gave a better fit.

The inclusion of the “predvarobs” option gave a marked improvement in the fit to the data and a similar retrospective pattern. The total stock biomass in 2026 increased by about 60 kt compared to the run without “predvarobs”.

3.4.2 SAM diagnostics (Figure 3.2 a-e)

Residuals for the SAM run are shown in Figure 3.2a, while model retrospective plots of F, SSB and recruitment are shown in Figure 3.2b. Historical retrospective pattern for final SAM run are shown in Figure 3.2c. Figure 3.2d compares observed and modelled catches in tonnes and Figure 3.2e shows the catchability by survey and age group.

The retrospective pattern is generally adequate (Figure 3.2b), with absolute values of Mohn’s rho < 16% for SSB, R and F.

4.3.3 Results of assessment (Tables 3.15-3.18, Figure 3.1)

Summaries of landings, fishing mortality, stock biomass, spawning stock biomass and recruitment since 1946 are given in Table 3.18 and Figure 3.1.

The fishing mortalities and population numbers are given in Tables 3.15 and 3.16.

The estimated F5-10 in 2025 is 0.548, which is above Fpa but within the Fmsy range (Table 3.18). Fishing mortality increased steadily from 2012-2021 but has decreased since 2023. The spawning stock biomass in 2026 is estimated to be 338 kt (Table 3.20), which is the lowest since 2000, and much lower than the peak in 2013 (2,207 kt). When comparing it farther back in time, one should bear in mind that in the early part of the time-series (before the 1980s) the fraction of mature fish at age was considerably lower.

Total stock biomass in 2026 is estimated to 1,069 kt, which is below the long-term mean and well below the highest level observed after 1955 (3,678 kt in 2013).

It is noted that the exploitation pattern is still slightly dome-shaped with a decrease in selectivity above age 13, although the dome-shape is not as strong as it was before 2020 when there was a marked decrease above in selectivity above age 12.

M values (M = 0.2+cannibalism mortality) are given in Table 3.17. For ages 3—5 the M matrix in 1946—1983 also includes cannibalism mortality since the benchmark meeting in 2015 (ICES 2015a).

3.5 Reference points and harvest control rules

The current reference points for Northeast Arctic cod were estimated by SGBRP (ICES 2003a) and adopted by ACFM at the May 2003 meeting.

At the 46th session of JNRFC a new version of the management rule was adopted (see section 3.5.3) . The TAC advice for 2027 is based on the agreed harvest control rule.

3.5.1 Biomass reference points

The values adopted by ACFM in 2003 are Blim = 220 000 t, Bpa = 460 000 t. (ICES 2003a).

3.5.2 Fishing mortality reference points

The values adopted by ACFM in 2003 are Flim = 0.74 and Fpa = 0.40 (ICES 2003a). The Fmsy for NEA cod was estimated by WKBarFar 2021 to be in the range 0.40 - 0.60.

3.5.3 Harvest control rule

The history of how the harvest control rule has developed is given in the 2017 AFWG report (ICES 2017). JNRFC in 2015 asked ICES to explore the consequences of 10 different harvest control rules. This was done by WKNEAMP (ICES 2015b, 2016). JNRFC in 2016 adopted one of the rules explored by WKNEAMP (Rule 6 in that report).

The current rule reads as follows:

The TAC is calculated as the average catch predicted for the coming 3 years using the target level of exploitation (Ftr ).

The target level of exploitation is calculated according to the spawning stock biomass (SSB) in the first year of the forecast as follows:

- if SSB < Bpa, then Ftr = SSB / Bpa × Fmsy ;

- if Bpa ≤ SSB ≤ 2×Bpa, then Ftr = Fmsy ;

- if 2×Bpa < SSB < 3×Bpa, then Ftr = Fmsy × (1 + 0.5 × (SSB - 2×Bpa) / Bpa );

- if SSB ≥ 3×Bpa, then Ftr = 1.5 × Fmsy ;

where Fmsy=0.40 and Bpa =460 000 tonnes.

If the spawning stock biomass in the present year, the previous year and each of the three years of prediction is above Bpa, the TAC should not be changed by more than +/- 20% compared with the previous year’s TAC. In this case, Ftr should however not be below 0.30.

3.6 Prediction

3.6.1 Prediction input (Tables 3.19a)

The input data to the short-term prediction with management option table (2026—2029) are given in Table 3.19a. For 2026 stock weights and maturity were calculated from surveys as described in Sections 3.3.2 and 3.3.4.

Catch weights in 2026 onwards and stock weights in 2027 and onwards for age 3–11 are predicted by the method described by Brander (2002), where the latest observation of weights by cohort are used together with average annual increments to predict the weight of the cohort the following year. The method is given by the equation

W(a+1,y+1)=W(a,y) + Incr(a), where Incr(a) is a “medium term” average of Incr(a,y)= W(a+1,y+1)-W(a,y)

This method was introduced in the cod prediction in the 2003 working group (ICES 2003b). Since the 2005 working group (ICES 2005) an average of the 3 most recent values of annual increments have been used for predicting stock weights. For catch weights the last 5-year period for averaging the increments is used (changed from 10-year period at the 2021 benchmark).

Weight in the stock at ages 3-5 has decreased from 2025 to 2026, this could be related to low capelin abundance, as those age groups have the highest proportion of capelin in their diet.

The maturity ogive for the years 2027—2029 was predicted by using the 2024-2026 average. The fishing pattern in 2026 and later years was set equal to the average of the previous 5 years as a default in the stock annex.

The stock number-at-age in 2026 was taken from the final SAM run (Table 3.16) for ages 4 and older. Recruitment at age 3 in the years 2026—2029 was estimated as described in section 3.6.2. Figure 3.3 shows the development in natural mortality due to cannibalism for cod (prey) age groups 1-3 together with the abundance of capelin in the period 1984—2025. Natural mortality at age 3 peaked in 2024 when the 2021 year class, which is stronger than the year classes before and after, was at age 3. For the weaker year classes from 2023 onwards, the 2025 value, which is similar to that in 2023 and preceding year, seems more appropriate as these year classes are less likely to be exposed to high cannibalism. Thus, the last year (2025) M values are used to predict natural mortality of age groups 3—6 for years 2026—2029.

The catch in 2026 is expected to be close to the TAC when taking into account transfers of quota between years and the expected level of the coastal cod catch. As last year, it was found to be more appropriate to use TAC constraint than Fsq (which is the usual choice) in the intermediate year, as Fsq would imply a catch in 2026 of 398 000 t, i. e. 113 000 t above the TAC.

3.6.2 Recruitment prediction (Table 3.19b-c)

At the 2008 AFWG meeting (ICES 2008) it was decided to use a hybrid model, which is a weighted arithmetic mean of different recruitment models. This model has not performed well in recent years (as shown e.g. in Fig. 3.2c for the prediction of age 3 abundance in the assessment (intermediate) year. A thorough analysis of existing recruitment models and five proposed new models, as well as using recent averages of recruitment values was carried out in 2024 (Kovalev and Chetyrkin, WD6, 2024) and has been updated in 2025 and 2026. Based on the model performance, the RCT3 model was, as in 2025, chosen for predicting 1-3 years ahead. This year the indices at age 1 and 2 from the ecosystem survey were included in the analysis.

This gave recruitment values of 243 million for 2026, 240 million for 2027 and 349 million for 2028. For the age 3 recruitment in 2026, the RCT3 estimate of 243 million is considerably higher than the SAM estimate of 132 million.

The new recruitment model (WD5) value of 334 million was used for year 2029 as this model the only one we have to predict with 4 years lag. An average of 5 recent years from the SAM assessment (2021-2025) was chosen to predict 5+ years ahead for using in medium term predictions (Fig. 3.8).

It is necessary to rerun an analysis of various recruitment models each year. The statistical approach described by Kovalev (WD5) based on environmental information (NAO and AO indexes, air temperature, frontal zone index, SST, Barents Sea ice cover) is promising but needs to be improved and to integrate for incorporating survey indices in the analysis.

3.6.3 Prediction results (Tables 3.20-3.21)

The resulting SSB in 2027 is 346 kt, which is 3 % higher than the SSB in 2026. Table 3.20 shows the short-term consequences over a range of F-values in 2027. The detailed outputs corresponding to a catch equal to the TAC in 2026 and the F corresponding to the agreed HCR in 2027 are given in Table 3.21. Summarized results are shown in the text table below (all biomasses in tonnes).

Basis Catch (2027) F (2027) SSB (2028) % SSB change * % TAC change ** % Advice change *** P(SSB2028 <B lim )
Advice basis              
Management plan^ 312 667 0.35 420 936 22 10 16 <1%
Other options              
F = 0 0 0 603 750 75 -100 -100 <0.1%
F=0.30^^ 272 528 0.30 443 194 28 -4 1 <1%
F = F2025 448 559 0 . 548 348 514 1 57 66 5%
F=F pa = F MSY 347 793 0.40 401 774 16 22 29 <1%
F lim 562 414 0.74 291 572 -16 97 109 22%

* SSB 2028 relative to SSB 2027.

** Advice for 2027 relative to TAC for 2026 (285 000 tonnes).

*** Advice for 2027 relative to advice for 2026 (269 440 tonnes).

^ Since SSB in 2027 is below B pa = 460 000 t, F = 0.40*SSB 2027 /B pa = 0.30 is used in the 3-year prediction, giving catches of 272 528, 315 183 and 350 290 tonnes in 2027, 2028 and 2029, respectively. The average of this is 312 667 tonnes.

^^F=0.30 corresponds to applying the harvest control rule without a 3-year prediction.

The advice for 2027 is 16 % higher than the advice for 2026.

This catch forecast covers all catches. It is then implied that all types of catches are to be counted against this TAC. It also means that if any overfishing is expected to take place, the above calculated TAC should be reduced by the expected amount of overfishing.

The risk values were calculated using approximations to the weight, maturity etc. in the prediction years as the SAM prediction procedure was not flexible enough to accommodate the year-to-year variability in these parameters in the JRN-AFWG predictions. A mean of the values for three most recent years (2024-2026 or 2023-2025) was used for those parameters. It was verified that the median SSB was very close to the deterministic predictions.

In SAM predictions, the uncertainty in the predictions and thus the risk of SSB<Blim is calculated taking uncertainty in the stock size at the start of the intermediate year and in recruitment into account. The recruitment uncertainty was calculated by drawing randomly from the last 10 years, however the approach taken for this matters very little as the contribution of the recruitment to the fishery in 2026-2027 and SSB in 2028 is very small. Uncertainty in weight, maturity etc. is not modelled.  

Exploratory analysis of one possible formulation of an HCR which is S-shaped when SSB is below Bpa (see formula below) was presented at JRN-AFWG. Using that particular formulation with a three-year prediction as in the existing HCR would give an Ftarget  of 0.41, giving catches of 329 735, 360 327 and 381 530 tonnes in 2027, 2028 and 2029, respectively. The average of this is 357 198 tonnes. Note that this is not the agreed HCR and is not being presented as the basis for current management but is presented here to facilitate further exploration of such a rule. In particular, the precise formulation of such a rule (especially the degree to which it deviates from the current straight line) would need to be explored by JRN-AFWG before it could be recommended for use in management.

Formula for S-shaped reduction of Ftarget below Bpa : (in the example described above the exponent p=3 was used, but other exponents could be explored)

Ftarget=a*SSBp for SSB<=0.5*Bpa

Ftarget=Fpa-a*(Bpa-SSB)p for 0.5*Bpa < SSB < Bpa

where

a=0.5*Fpa/((0.5*Bpa)p )

3.6.4 Medium-term predictions (Figure 3.8)

The inputs for medium-term prediction are the same as for short-term ones. For years after terminal year in short-term prediction the same value as for this year are used for all parameters except target fishing mortality which is according to the HCR.

The stock size has been decreasing in recent years due to low incoming recruitment, downward adjustment of the stock size (due to model modifications at the benchmark in 2021) and high fishing mortality. The high fishing mortality in recent years was partly due to the 20% limit on annual reduction of TAC according HCR. Recruitment in coming years (2023-2026 year classes) is also estimated to be below average. Previous periods of low recruitment have mainly occurred when temperature is below average, which is not the case at present. Johannesen et al. (2026) reviewed the reasons for the low average recruitment after the 2005 year class and the results from that paper could be useful for future predictions of cod recruitment.

The predictions for 2027 and following years indicate that catches, SSB and total stock biomass will increase after 2027, but SSB will remain below Bpa until 2029 (Figure 3.8).

3.6.5 Comparison to 2025 assessment

The text table below compares this year’s estimates with the 2025 JRN-AFWG estimates for numbers at age (millions), total biomass, spawning biomass (thousand tonnes) in 2025, as well as reference F for the year 2024.

    N (2025) by age            
Assessment year F (2024) 3 4 5 6 7 8 9 10 11 12 13 14 15+ TSB (2025) SSB (2025) F (2025)
2025 0,627 537* 425 132 65 52 38 19 10 2,9 0,7 0,2 0,1 0,1 1131 330 0,511**
2026 0,591 374 399 125 63 54 40 22 10 3,3 0,6 0,1 0,1 0,0 1102 352 0,548
Ratio 2026/2025 0,94 0 . 70 0 . 94 0 . 94 0 . 96 1 . 03 1 . 07 1 . 19 0 . 97 1 . 12 0 . 89 0 . 72 0 . 58 0 . 20 0 . 97 1 . 06 1 . 07

*estimated by recruitment models

**assuming TAC constraint

In the current assessment, the number of age 3-6, 10 and 12 and above in 2025 was adjusted downwards compared to the 2025 JRN-AFWG assessment, while age groups 7-9 and 11 were adjusted upwards.

3.6.6 Comparison to last year’s prediction

The catch advice for 2027 is very close to the prediction from last year’s working group, when taking into account that the 2026 TAC was set somewhat above the advice. The advice for 2027 is 312 667 t, while the advice for 2026 given by JRN-AFWG was 269 440 t. The 2026 assessment adjusted the stock size in 2026 slightly downwards compared to the prediction from the 2025 assessment. The outlook for stock size and catches after 2027 is less optimistic than in last year’s assessment, mainly due to lower incoming recruitment.

3.7 Concerns with the assessment and management advice

The WG realizes that imprecise input data, in particular the catch-at-age matrix, and discontinuation of some surveys as well as incomplete spatial coverage and reduced synopticity in surveys, could be a main obstacle to producing precise stock assessments, regardless of which model is used.

Given the decline of the stock in recent years, the 20% limit on annual TAC change led to fishing pressure well above the target in the HCR for several years. The SSB is now below Bpa, and it is thus critical for future stock development to ensure that the TAC is set equal to the scientific advice. The allowed 10% quota transfer between years compounds the risk arising from the TAC being set above the advice in the current situation with the spawning stock being below Bpa .

Based on the predicted SSB in 2027, F=   0.30   is used for the advice. Applying F= 0.30   to the projected stock in 2027 would give a quota advice of   272 528 t. The three-year look ahead component in the HCR results in the actual advice being higher (at 312 667   t ) because the HCR accounts for signs that the stock is expected to increase in 2027-2029, assuming the catch advice is followed.

Figure 3.9 compares the SSB, TSB, Recruitment and TAC hindcasts/forecasts made by ICES AFWG/JRN-AFWG in 2021-2026. Both the hindcasts and the forecasts were too optimistic, but the accuracy of the estimate of current stock size seems to have improved in recent years. When SSB is below Bpa , errors in the hindcasts/forecasts estimates of SSB also affect the target F used to calculate the HCR-based TAC recommendations, increasing the error in the TAC forecast.

It is also a concern whether the current harvest control rule is precautionary in view of the recent below average recruitment (no strong year classes after 2005). Preliminary results (Kovalev et al., WD10 2025) indicate that the current harvest control rule is precautionary also for a stock-recruitment relationship based on the year classes 2006-2019.

3.8 Additional assessment methods

All models use the same tuning data.

3.8.1 TISVPA (Tables 3.22-3.24, Figure 3.6a-c)

This year the TISVPA model was applied to NEA cod with the same settings as last year and using the same data as SAM except that natural mortality values from cannibalism were taken from the SAM runs. During WG the results of exploratory runs using the TISVPA model (Tables 3.22-3.24) were discussed. The residuals of the model approximation of catch-at-age and “fleets” data are presented in Figure 3.6a. Likelihood profiles for different data source are presented in Figure 3.6b. Retrospective run results are shown in Figure 3.6c.

3.8.2 Model comparisons (Figures 3.2a, 3.6c, 3.7)

Figure 3.7 compares the results of SAM and TISVPA, showing F, SSB, TSB and recruitment. Trends are similar in all models, but TISVPA gives a lower F in 2025 and higher spawning stock biomass in 2026 than SAM. The difference in total biomass in 2026 is very small, however. Also, TISVPA shows a different trend in F in recent years with a peak in 2022 followed by a strong decrease, while SAM gives an almost constant F in 2022-2023 and then a slow decrease. Recruitment in 2026 is lower in TISVPA than in SAM. Both models show a reasonable retrospective pattern (Figures 3.2a, 3.6c).

3.9 New and revised data sources

This section describes some data sources which could be revised or included in the assessment in the future.

3.9.1 Consistency between NEA cod and coastal cod catch data (Table 3.2)

Consistency between the catch data used for NEA cod and coastal cod should be ensured. The revised catch figures used in the coastal cod assessment do not correspond to the difference between the total cod catch and the catch used in the NEA cod assessment (Table 3.2). These discrepancies will be adjusted when the NEA cod catch series are revised (section 3.2.2).

3.9.2 Discard and bycatch data

Work on updating discard and bycatch data series is ongoing. Revised bycatch estimates in numbers for the period 2005-2025 are shown in Fig. 1.14. At WKARCT in 2015 it was, however, decided not to include those data in the catch-at-age matrix.

The bycatch mainly consists of age 1 and 2 fish, but the bycatch is generally small compared to other reported sources of mortality: catches, discards and the number of cod eaten by cod. From 1992 onwards, bycatches of age 3 and older fish are negligible, because use of sorting grids was made mandatory. However, in 1985, bycatches of age 5 and 6 cod were about one third of the reported catches for those age groups. The year class for which the bycatches were highest, was the 1983 year class (total bycatch of age 2 and older fish of about 60 million, compared to a stock estimate of about 1500 million at age 3.

3.10 References

Bogstad, B. 2023. Jan Mayen—a new spawning and fishing area for Atlantic cod Gadus morhua . Polar Biology 46: 103-109. https://doi.org/10.1007/s00300-022-03102-8

Bogstad, B. and Mehl, S. 1997. Interactions Between Cod ( Gadus morhua ) and Its Prey Species in the Barents Sea. Forage Fishes in Marine Ecosystems. Proceedings of the International Symposium on the Role of Forage Fishes in Marine Ecosystems. Alaska Sea Grant College Program Report No. 97-01: 591-615. University of Alaska Fairbanks.

Brander, K. 2002. Predicting weight at age. Internal ICES note to assessment working groups. 2003. Software implementation of process models. Working Document No. 2 to the Arctic Fisheries Working Group, San Sebastian, Spain, 23 April- 2 May 2003.

Breivik, O. N., Nielsen, A., and Berg, C. W. 2021. Prediction–variance relation in a state-space fish stock assessment model. ICES Journal of Marine Science, Volume 78(10): 3650–3657,  https://doi.org/10.1093/icesjms/fsab205

Denechaud, C., et al. IMR – PINRO cod otolith exchange 2025. WD7, JRN-AFWG 2025.

Godiksen, J. A., Wenneck, T. de Lange, Bogstad, B., Eidset, E., Høines, Å., Johannesen, E., Midtun, H. Aa., Skage, M. L., Skaret, G., Staby, A., Tranang, C. Aa., Windsland, K., Russkikh, A. A., and Kharlin, S. 2025. Fish investigations in the Barents Sea winter 2025. IMR-PINRO Joint Report Series 7-2025, 132 pp.

Golovanov S.E., Sokolov A.M., and Yaragina, N.A. 2007. Revised indices of the Northeast Arctic cod abundance according to the 1982-2006 data from Russian trawl-acoustic survey (TAS). Working Document #3 for AFWG 2007.

Gundersen, S., Otterå, H. and Nedreaas, K. 2026. Effort and catch-per-unit-effort (CPUE) for Norwegian trawlers fishing cod north of 67˚N in 2011-2025. WD1, JRN_AFWG 2026.

ICES 2001. Report of the Arctic Fisheries Working Group. Bergen, Norway, 24 April – 3 May 2001. ICES CM 2001/ACFM:19. 380 pp.

ICES 2003a. Study Group on Biological Reference Points for Northeast Arctic Cod. Svanhovd, Norway 13-17 January 2003. ICES CM 2003/ACFM:11.

ICES 2003b. Report of the Arctic Fisheries Working Group, San Sebastian, Spain 23 April – 2 May 2003. ICES C.M. 2003/ACFM:22, 448 pp.

ICES 2004. Report of the Arctic Fisheries Working Group, Copenhagen 4-13 May 2004. ICES C.M. 2004/ACFM:28, 475 pp.

ICES 2005. Report of the Arctic Fisheries Working Group, Murmansk, Russia 19-28 April 2005. ICES C.M. 2005/ACFM:20, 564 pp.

ICES 2008. Report of the Arctic Fisheries Working Group, Copenhagen, 21-29 April 2008. ICES C.M. 2008/ACOM:01, 531 pp.

ICES. 2015a. Report of the Benchmark Workshop on Arctic Stocks (WKARCT), 26-30 January 2015, ICES Headquarters, Denmark. ICES CM 2015\ACOM:31. 126 pp.

ICES 2015b. Report of the first Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin ( WKNEAMP-1) , , . ICES CM 2015/ACOM:60, 27 pp.

ICES 2016. Report of the second Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin (WKNEAMP-2) , 25-28 January 2016, Kirkenes, Norway. ICES CM 2016/ACOM:47, 76 pp.

ICES 2017. Report of the Arctic Fisheries Working Group, Copenhagen, 19-25 April 2017. ICES C.M. 2017/ACOM:06,486 pp.

ICES. 2021a. Benchmark Workshop for Barents Sea and Faroese Stocks (WKBARFAR 2021). ICES Scientific Reports. 3:21. 205 pp. https://doi.org/10.17895/ices.pub.7920

ICES. 2021b. Arctic Fisheries Working Group (AFWG). ICES Scientific Reports 3:58. 817 pp. https://doi.org/10.17895/ices.pub.8196

ICES. 2026. Arctic Fisheries Working Group (AFWG). ICES Scientific Reports.

Jakobsen, T., Korsbrekke, K., Mehl, S., and Nakken, O. 1997. Norwegian combined acoustic and bottom trawl surveys for demersal fish in the Barents Sea during winter. ICES CM 1997/Y:17.

Johannesen, E., Ottersen, G., Berg, F., Bogstad, B., Dalpadado, P., Denechaud, C., Eriksen, E., Fossheim, M., Frøysa, H. G., Johansen, T., Korsbrekke, K., Moland, E., Olsen, E. M., Sandø, A. B., Skaret, G., Skogen, M., and Vikebø, F. 2026. The abrupt and persistent decline in recruitment success in Northeast Arctic cod: a review of probable causes. Fish and Fisheries 27:643–659 . DOI:  10.1111/faf.70074

Kjesbu, O. S., Moksness, I. E., Ma, S., Devine, J. A., Alix, M., Fall, J., Denechaud, C., dos Santos Schmidt, T. C., Thorsen, A., Huse, G., Howell, D., and Korsbrekke, K. 2025.

Observation error appears to explain the perception of earlier maturation in Atlantic cod following the industrialised fishing. Progress in Oceanography 237:103528.

https://doi.org/10.1016/j.pocean.2025.103528 .

Korsbrekke, K. 1997. Norwegian acoustic survey of Northeast Arctic cod on the spawning grounds off Lofoten. ICES C.M 1997/Y:18.

Korsbrekke, K. 2024. Acoustic survey targeting spawning NEA cod north of Vesterålsbankene 2023 (In Norwegian). https://www.hi.no/hi/nettrapporter/toktrapport-2024-1 .

Kovalev, Y. 2026. NEA Cod Recruitment Forecasting. WD5, JRN-AFWG 2026.

Kovalev, Yu. 2025. Russian trawl fleet CPUE on NEA cod fishery. WD1, JRN-AFWG 2025.

Kovalev, Y., Prozorkevich, D., and Chetyrkin, A. 2017. Estimation of Ecosystem survey 2016 index in situation of not full area coverage. Working Document No. 12 to the Arctic Fisheries Working Group, Copenhagen, 18-25 April 2017.

Kovalev, Y., and Chetyrkin, A. 2024. Analysis of the NEA Cod recruitment prediction quality. WD6, AFWG 2024.

Kovalev, Y., Yaragina, N. A., and Vasilyev, D. 2025. Evaluation of the NEA cod HCRs. WD10, JRN-AFWG 2025.

Mehl, S., and Yaragina, N. A. 1992. Methods and results in the joint PINRO-IMR stomach sampling program. In: Bogstad, B. and Tjelmeland, S. (eds.), Interrelations between fish populations in the Barents Sea. Proceedings of the fifth PINRO-IMR Symposium. Murmansk, 12–16 August 1991. Institute of Marine Research, Bergen, Norway, 5–15.

Sokolov A., Russkikh A., Kharlin S., Kovalev Yu. A., and Yaragina N.A. 2018. Results of the Russian trawl-acoustic survey on cod and haddock in the Barents Sea and adjacent waters in October-December 2017. Working Document no. 11. ICES Arctic Fisheries Working Group, ICES CM 2018/ACOM:06.

Thygesen, U. H., Albertsen, C. M., Berg, C. W., Kristensen, K., and Nielsen, A. 2017. Validation of ecological state space models using the Laplace approximation Environmental and Ecological Statistics 24 (2): 317-339.

van der Meeren, G. and Prozorkevitch, D. (eds.) 2023. Survey report from the joint Norwegian/Russian Ecosystem Survey in the Barents Sea and the adjacent waters August-October 2024. IMR/PINRO-report series 10/2023.

van der Meeren, G. and Prozorkevitch, D. (eds.) 2025. Survey report from the joint Norwegian/Russian Ecosystem Survey in the Barents Sea and the adjacent waters August-October 2024. IMR/PINRO-report series 3/2025.

WD 15. 2019. Updated mean ratios between the combined and Norwegian data on weight at age and maturity at age in Northeast Arctic cod. Working document no 15, AFWG 2019.

Yaragina N.A. Nedreaas K.H., Koloskova V., Mjanger H., Senneset H., Zuykova N. and Ǻgotnes P. 2009. Fifteen years of annual Norwegian-Russian cod comparative age readings. Marine Biology Research 5(1): 54-65.

Yaragina N. A., Kovalev Yu. A., and Chetyrkin A. 2018. Extrapolating predation mortalities back in time: an example from North-east Arctic cod cannibalism, Marine Biology Research 14(2): 203-216. https://doi.org/10.1080/17451000.2017.1396342

Zuykova N.V., Koloskova V.P., Mjanger H., Nedreaas K.H., Senneset H., Yaragina N.A., Ågotnes P., and Aanes S. 2009. Age determination of Northeast Arctic cod otoliths through 50 years of history. Marine Biology Research 5(1): 66-74.

Zuykova N.V., et al. 2020. Report on the meeting between Norwegian and Russian age reading specialists at Polar Branch of FSBSI “VNIRO” Murmansk, 20-24 May 2019. Working document no 8 in: ICES. 2020c.Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 2:52. 577 pp. http://doi.org/10.17895/ices.pub.6050 .

Year Subarea 1 Division 2.a Division 2.b Unreported catches Total catch
1961 409 694 153 019 220 508   783 221
1962 548 621 139 848 220 797   909 266
1963 547 469 117 100 111 768   776 337
1964 206 883 104 698 126 114   437 695
1965 241 489 100 011 103 430   444 983
1966 292 253 134 805 56 653   483 711
1967 322 798 128 747 121 060   572 605
1968 642 452 162 472 269 254   1 074 084
1969 679 373 255 599 262 254   1 197 226
1970 603 855 243 835 85 556   933 246
1971 312 505 319 623 56 920   689 048
1972 197 015 335 257 32 982   565 254
1973 492 716 211 762 88 207   792 685
1974 723 489 124 214 254 730   1 102 433
1975 561 701 120 276 147 400   829 377
1976 526 685 237 245 103 533   867 463
1977 538 231 257 073 109 997   905 301
1978 418 265 263 157 17 293   698 715
1979 195 166 235 449 9 923   440 538
1980 168 671 199 313 12 450   380 434
1981 137 033 245 167 16 837   399 037
1982 96 576 236 125 31 029   363 730
1983 64 803 200 279 24 910   289 992
1984 54 317 197 573 25 761   277 651
1985 112 605 173 559 21 756   307 920
1986 157 631 202 688 69 794   430 113
1987 146 106 245 387 131 578   523 071
1988 166 649 209 930 58 360   434 939
1989 164 512 149 360 18 609   332 481
1990 62 272 99 465 25 263 25 000 212 000
1991 70 970 156 966 41 222 50 000 319 158
1992 124 219 172 532 86 483 130 000 513 234
1993 195 771 269 383 66 457 50 000 581 611
1994 353 425 306 417 86 244 25 000 771 086
1995 251 448 317 585 170 966   739 999
1996 278 364 297 237 156 627   732 228
1997 273 376 326 689 162 338   762 403
1998 250 815 257 398 84 411   592 624
1999 159 021 216 898 108 991   484 910
2000 137 197 204 167 73 506   414 870
2001 142 628 185 890 97 953   426 471
2002 184 789 189 013 71 242 90 000 535 045
2003 163 109 222 052 51 829 115 000 551 990
2004 177 888 219 261 92 296 117 000 606 445
2005 159 573 194 644 121 059 166 000 641 276
2006 159 851 204 603 104 743 67 100 537 642
2007 152 522 195 383 97 891 41 087 486 883
2008 144 905 203 244 101 022 15 000 464 171
2009 161 602 207 205 154 623   523 431
2010 183 988 271 337 154 657   609 983
2011 198 333 328 598 192 898   719 829
2012 247 938 331087 148 638   727 663
2013 360 673 421678 183 858   966 209
2014 320 347 468 934 197 168   986 449
2015 272405 375328 216651   864384
2016 321347 351468 176607   849422
2017 309902 360477 197898   868276
2018 249397 321548 207681   778627
2019 234985 318539 139084   692609
2020 234029 298707 160166   692903
2021 281198 268942 217144   767284
2022 236173 256394 226644   719211
2023 260853 202358 119341   582552
2024 188045 183109 81886   453040
2025 1 124530 140946 63993   329468
Table 3.1. Northeast Arctic COD. Total catch (t) by fishing areas and unreported catch.

Data provided by Working Group members

1 Provisional figure

Year Advice   TAC CATCH
2018 -   - 441
2019 -   800 628
2020 -   800 522
2021 600   600 146
2022 347   347 276
2023 315   315 181
2024 0   0 6
2025 0   0 5
2026 181   181  
Table 3.1a Advice, quota and official Norwegian catches (tonnes) in the fishery zone around Jan Mayen (part of ICES area 2a).
Year Norwegian catches of cod removed from the NEA cod -assessment
Av1960–70 38.6
1971–79 no data
1980 40
1981 49
1982 42
1983 38
1984 33
1985 28
1986 26
1987 31
1988 22
1989 17
1990 24
1991 25
1992 35
1993 44
1994 48
1995 39
1996 32
1997 36
1998 29
1999 23
2000 19
2001 14
2002 20
2003 19
2004 14
2005 13
2006 15
2007 13
2008 13
2009 15
2010 13.5
2011 18.8
2012 35.5
2013 30.1
2014 33.6
2015 35.8
2016 54.9
2017 51.0
2018 36.3
2019 40.1
2020 45.3
2021 42.0
2022 40.3
2023 48.1
2024 30.8
2025 40.1
Table 3.2. Catches of Norwegian Coastal Cod in subareas 1 and 2, 1000 tonnes, which are removed from the NEA cod assessment.
    Subarea 1   Division 2.a   Division 2.b  
Year   Trawl Others Trawl Others Trawl Others
1967   238 84.8 38.7 90 121.1 -
1968   588.1 54.4 44.2 118.3 269.2 -
1969   633.5 45.9 119.7 135.9 262.3 -
1970   524.5 79.4 90.5 153.3 85.6 -
1971   253.1 59.4 74.5 245.1 56.9 -
1972   158.1 38.9 49.9 285.4 33 -
1973   459 33.7 39.4 172.4 88.2 -
1974   677 46.5 41 83.2 254.7 -
1975   526.3 35.4 33.7 86.6 147.4 -
1976   466.5 60.2 112.3 124.9 103.5 -
1977   471.5 66.7 100.9 156.2 110 -
1978   360.4 57.9 117 146.2 17.3 -
1979   161.5 33.7 114.9 120.5 8.1 -
1980   133.3 35.4 83.7 115.6 12.5 -
1981   91.5 45.1 77.2 167.9 17.2 -
1982   44.8 51.8 65.1 171 21 -
1983   36.6 28.2 56.6 143.7 24.9 -
1984   24.5 29.8 46.9 150.7 25.6 -
1985   72.4 40.2 60.7 112.8 21.5 -
1986   109.5 48.1 116.3 86.4 69.8 -
1987   126.3 19.8 167.9 77.5 129.9 1.7
1988   149.1 17.6 122 88 58.2 0.2
1989   144.4 19.5 68.9 81.2 19.1 0.1
1990   51.4 10.9 47.4 52.1 24.5 0.8
1991   58.9 12.1 73 84 40 1.2
1992   103.7 20.5 79.7 92.8 85.6 0.9
1993   165.1 30.7 155.5 113.9 66.3 0.2
1994   312.1 41.3 165.8 140.6 84.3 1.9
1995   218.1 33.3 174.3 143.3 160.3 10.7
1996   248.9 32.7 137.1 159 147.7 6.8
1997   235.6 37.7 150.5 176.2 154.7 7.6
1998   219.8 31 127 130.4 82.7 1.7
1999   133.3 25.7 101.9 115 107.2 1.8
2000   111.7 25.5 105.4 98.8 72.2 1.3
2001   119.1 23.5 83.1 102.8 95.4 2.5
2002   147.4 37.4 83.4 105.6 69.9 1.3
2003   146 17.1 107.8 114.2 50.1 1.8
2004   154.4 23.5 100.3 118.9 88.8 3.5
2005   132.4 27.2 87 107.7 115.4 5.6
2006   141.8 18.1 91.2 113.4 100.1 4.6
2007   129.6 22.9 84.8 110.6 91.6 6.3
2008   123.8 21.1 94.8 108.4 95.3 5.7
2009   130.1 31.5 102 105.2 142.1 11.4
2010   151.1 32.9 130 141.4 149.2 5.4
2011   158.1 38.4 163.5 167 181 11.9
2012   212.1 35.9 172.7 158.4 133.8 14.9
2013   308.5 52.2 216.9 204.7 159.7 24.1
2014   268.8 51.5 246.8 222.1 177.9 19.3
2015   224.3 48.1 192.2 183.2 197.7 19.0
2016   285.5 35.8 181.7 169.8 156.3 20.3
2017   265.4 44.5 189.5 171.0 180.0 17.9
2018   204.7 44.7 156.7 164.9 192.0 15.6
2019   199.4 35.6 177.8 140.7 128.9 10.1
2020   199.4 34.6 157.2 141.5 153.5 6.7
2021   220.8 60.4 120.2 148.7 202.1 15.1
2022   192.9 43.3 108.9 147.4 212.9 13.7
2023   218.5 42.4 90.9 111.5 112.6 6.8
2024   166.2 21.8 88.2 94.9 75.1 6.8
2025 1   110.9 15.9 77.2 68.3 56.2 7.8
Table 3.3. Northeast Arctic COD. Total nominal catch ('000 t) by trawl and other gear for each

Data provided by Working Group members

1 Provisional figures

Year Faroe Islands France German Dem.Rep. Fed.Rep.Germany Greenland Iceland Norway Poland United Kingdom Russia** Spain Others Total
1961 3934 13755 3921 8129     268377 -   158113 325780   1212 783221
1962 3109 20482 1532 6503     225615 -   175020 476760   245 909266
1963 - 18318 129 4223     205056 108   129779 417964   - 775577
1964 - 8634 297 3202     149878 -   94549 180550   585 437695
1965 - 526 91 3670     197085 -   89962 152780   816 444930
1966 - 2967 228 4284     203792 -   103012 169300   121 483704
1967 - 664 45 3632     218910 -   87008 262340   6 572605
1968 - - 225 1073     255611 -   140387 676758   - 1074084
1969 29374 - 5907 5543     305241 7856   231066 612215   133 1197226
1970 26265 44245 12413 9451     377606 5153   181481 276632   - 933246
1971 5877 34772 4998 9726     407044 1512   80102 144802   215 689048
1972 1393 8915 1300 3405     394181 892   58382 96653   166 565287
1973 1916 17028 4684 16751     285184 843   78808 387196   276 792686
1974 5717 46028 4860 78507     287276 9898   90894 540801   38453 1102434
1975 11309 28734 9981 30037     277099 7435   101843 343580   19368 829377
1976 11511 20941 8946 24369     344502 6986   89061 343057   18090 867463
1977 9167 15414 3463 12763     388982 1084   86781 369876   17771 905301
1978 9092 9394 3029 5434     363088 566   35449 267138   5525 698715
1979 6320 3046 547 2513     294821 15   17991 105846   9439 440538
1980 9981 1705 233 1921     232242 3   10366 115194   8789 380434
1981 12825 3106 298 2228     277818     5262 83000 14500 - 399037
1982 11998 761 302 1717     287525     6601 40311 14515 - 363730
1983 11106 126 473 1243     234000     5840 22975 14229 - 289992
1984 10674 11 686 1010     230743     3663 22256 8608 - 277651
1985 13418 23 1019 4395     211065     3335 62489 7846 4330 307920
1986 18667 591 1543 10092     232096     7581 150541 5497 3505 430113
1987 15036 1 986 7035     268004     10957 202314 16223 2515 523071
1988 15329 2551 605 2803     223412     8107 169365 10905 1862 434939
1989 15625 3231 326 3291     158684     7056 134593 7802 1273 332481
1990 9584 592 169 1437     88737     3412 74609 7950 510 187000
1991 8981 975   2613     126226     3981 119427*** 3677 3278 269158
1992 11663 2   3911 3337   168460     6120 182315 6217 1209 383234
1993 17435 3572   5887 5389 9374 221051     11336 244860 8800 3907 531611
1994 22826 1962   8283 6882 36737 318395     15579 291925 14929 28568 746086
1995 22262 4912   7428 7462 34214 319987     16329 296158 15505 15742 739999
1996 17758 5352   8326 6529 23005 319158     16061 305317 15871 14851 732228
1997 20076 5353   6680 6426 4200 357825     18066 313344 17130 13303 762403
1998 14290 1197   3841 6388 1423 284647     14294 244115 14212 8217 592624
1999 13700 2137   3019 4093 1985 223390     11315 210379 8994 5898 484910
2000 13350 2621   3513 5787 7562 192860     9165 166202 8695 5115 414870
2001 12500 2681   4524 5727 5917 188431     8698 183572 9196 5225 426471
2002 15693 2934   4517 6419 5975 202559     8977 184072 8414 5484 445045
2003 19427 2921   4732 7026 5963 191977     8711 182160 7924 6149 436990
2004 19226 3621   6187 8196 7201 212117     14004 201525 11285 6082 489445
2005 16273 3491   5848 8135 5874 207825     10744 200077 9349 7660 475276
2006 16327 4376   3837 8164 5972 201987     10594 203782 9219 6271 470527
2007 14788 3190   4619 5951 7316 199809     9298 186229 9496 5101 445796
2008 15812 3149   4955 5617 7535 196598     8287 190225 9658 7336 449171
2009 16905 3908   8585 4977 7380 224298     8632 229291 12013 7442 523431
2010 15977 4499   8442 6584 11299 264701     9091 267547 12657 9185 609983
2011 13429 1173   4621 7155 12734 331535     8210 310326 13291 17354^ 719829
2012 17523 2841   8500 8520 9536 315739     11166 329943 12814 11081 727663
2013 13833 7858   8010 7885 14734 438734     12536 432314 15042 15263 966209
2014 33298 8149   6225 10864 18205 431846     14762 433479 16378 13243 986449
2015 26568 7480   6427 7055 16120 377983     11778 381778 19905 9880 864384
2016 24084 7946   6336 8607 16031 348949     13583 394107 14640 15139 849422
2017 28637 9554   5977 13638 11925 357419     16731 396180 14414 13802 868276
2018 26152 6605   9768 12743 10708 333539     11533 340364 13143 14071 778627
2019 22270 6371   8470 7553 12294 282120     11214 316813 13939 11565 692609
2020 21679 5796   9725 7391 9734 289472     12113 312683 11403 12908 692903
2021 21767 4459   6190 8246 8933 337931     5426 352064 11080 11188 767284^^
2022 21530 4988   7134 7688 6214 310145     7024 333697 12214 8577 719211^^
2023 17556 4632   5630 3994 5157 242117     5972 276923 8030 12539 582552^^
2024 15938 4677   5632 4000 3756 171480     4832 222661 6417 13747 453040 ^^
2025* 14620 4588   5408 3702 0 129500     4658 148384 5770 12838 329468^^
Table 3.4. Northeast Arctic COD. Nominal catch(t) by countries. (Subarea 1 and divisions 2a and 2b combined, data provided by Working group members

* Provisional figures

** USSR prior to 1991.

*** Includes Baltic countries.

^ Includes unspecified EU catches.

^^ In 2022-2026 assessment and advice was carried out by the Joint Russian-Norwegian working group on Arctic Fisheries (JRN-AFWG) which compiled catches for 2021-2025 and gave advice for 2023-2027.

Year Area covered Additional area implied in adjustment Adjustment method
1981-92 88.1    
1993 137.6    
1994 161.1    
1995 191.9    
1996 166.1    
1997 88.4 56.2 Index ratio by age
1998 100.4 51.1 Index ratio by age
1999 118.5    
2000 163.2    
2001 164.7    
2002 157.4    
2003 147.4    
2004 164.4    
2005 179.9    
2006 170.1 18.1 Partly covered strata raised to full strata area
2007 123.9 56.7 Index ratio by age
2008 165.2    
2009 171.8    
2010 160.5    
2011 174.3    
2012 151.3 16.7 Index ratio by age
2013 203.6    
2014 266.8    
2015 243.3    
2016 228.0    
2017 184.4 37.5 Index ratio by age
2018 236.3    
2019 241.2    
2020 203.2 25.1 Index ratio by age
2021 232.0 10.9 Index ratio by age
2022 232.7    
2023 253.3    
2024 263.1    
2025 232.1    
2026 252.4    
Table 3.5. Barents Sea winter survey. Area covered (‘000 square nautical miles) and areas implied in the method used to adjust for missing coverage in Russian Economic Zone (REZ). “Index ratio by age” means that the index by age (for the area outside REZ) was scaled by the observed ratio between total index and the index outside REZ observed in the years prior to the survey. Area N (covered from 2014 onwards) is included.

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp  
1946 4008 10387 18906 16596 13843 15370 59845 22618 10093 9573 5460 1927 750  
1947 710 13192 43890 52017 45501 13075 19718 47678 31392 9348 9330 4622 4103  
1948 140 3872 31054 55983 77375 21482 15237 9815 30041 7945 4491 3899 4205  
1949 991 6808 35214 100497 83283 29727 13207 5606 8617 13154 3657 1895 2167  
1950 1281 10954 29045 45233 62579 30037 19481 9172 6019 4133 6750 1662 1450  
1951 24687 77924 64013 46867 37535 33673 23510 10589 4221 1288 1002 3322 611  
1952 24099 120704 113203 73827 49389 20562 24367 15651 8327 3565 647 467 1044  
1953 47413 107659 112040 55500 22742 16863 10559 10553 5637 1752 468 173 156  
1954 11473 155171 146395 100751 40635 10713 11791 8557 6751 2370 896 268 123  
1955 3902 37652 201834 161336 84031 30451 13713 9481 4140 2406 867 355 128  
1956 10614 24172 129803 250472 86784 51091 14987 7465 3952 1655 1292 448 166  
1957 17321 33931 27182 70702 87033 39213 17747 6219 3232 1220 347 299 173  
1958 31219 133576 71051 40737 38380 35786 13338 10475 3289 1070 252 40 141  
1959 32308 77942 148285 53480 18498 17735 23118 9483 3748 997 254 161 98  
1960 37882 97865 64222 67425 23117 8429 7240 11675 4504 1843 354 102 226  
1961 45478 132655 123458 51167 38740 17376 5791 6778 5560 1682 910 280 108  
1962 42416 170566 167241 89460 28297 21996 7956 2728 2603 1647 392 280 103  
1963 13196 106984 205549 95498 35518 16221 11894 3884 1021 1025 498 129 157  
1964 5298 45912 97950 58575 19642 9162 6196 3553 783 172 387 264 131  
1965 15725 25999 78299 68511 25444 8438 3569 1467 1161 131 61 79 197  
1966 55937 55644 34676 42539 37169 18500 5077 1495 380 403 77 9 70  
1967 34467 160048 69235 22061 26295 25139 11323 2329 687 316 225 40 14  
1968 3709 174585 267961 107051 26701 16399 11597 3657 657 122 124 70 46  
1969 2307 24545 238511 181239 79363 26989 13463 5092 1913 414 121 23 46  
1970 7164 10792 25813 137829 96420 31920 8933 3249 1232 260 106 39 35  
1971 7754 13739 11831 9527 59290 52003 12093 2434 762 418 149 42 25  
1972 35536 45431 26832 12089 7918 34885 22315 4572 1215 353 315 121 40  
1973 294262 131493 61000 20569 7248 8328 19130 4499 677 195 81 59 55  
1974 91855 437377 203772 47006 12630 4370 2523 5607 2127 322 151 83 62  
1975 45282 59798 226646 118567 29522 9353 2617 1555 1928 575 231 15 37  
1976 85337 114341 79993 118236 47872 13962 4051 936 558 442 139 26 53  
1977 39594 168609 136335 52925 61821 23338 5659 1521 610 271 122 92 54  
1978 78822 45400 88495 56823 25407 31821 9408 1227 913 446 748 48 51  
1979 8600 77484 43677 31943 16815 8274 10974 1785 427 103 59 38 45  
1980 3911 17086 81986 40061 17664 7442 3508 3196 678 79 24 26 8  
1981 3407 9466 20803 63433 21788 9933 4267 1311 882 109 37 3 NA  
1982 8948 20933 19345 28084 42496 8395 2878 708 271 260 27 5 5  
1983 3108 19594 20473 17656 17004 18329 2545 646 229 74 58 20 5  
1984 6942 14240 18807 20086 15145 8287 5988 783 232 153 49 12 8  
1985 24634 45769 27806 19418 11369 3747 1557 768 137 36 31 32 8  
1986 28968 70993 78672 25215 11711 4063 976 726 557 136 28 34 14  
1987 13648 137106 98210 61407 13707 3866 910 455 187 227 21 59 20  
1988 9828 22774 135347 54379 21015 3304 1236 519 106 69 43 14 5  
1989 5085 17313 32165 81756 27854 5501 827 290 41 13 NA 11 16  
1990 1911 7551 12999 17827 30007 6810 828 179 59 15 6 5 2  
1991 4963 10933 16467 20342 19479 25193 3888 428 48 12 NA NA 2  
1992 21835 36015 27494 23392 18351 13541 18321 2529 264 82 3 9 NA  
1993 10094 46182 63578 33623 14866 9449 6571 12593 1749 377 63 22 NA  
1994 6531 59444 102548 59766 32504 10019 6163 3671 7528 995 121 19 4  
1995 4879 42587 115329 98485 32036 7334 3014 1725 1174 1920 222 41 NA  
1996 7655 28782 80711 100509 54590 10545 2023 930 462 230 809 84 NA  
1997 12827 36491 69633 83017 65768 28392 4651 1151 373 213 144 238 NA  
1998 31887 88874 48972 40493 34513 26354 6583 965 197 69 42 22 53  
1999 7501 77714 92816 31139 15778 15851 8828 1837 195 40 34 8 30  
2000 4701 33094 93044 47210 12671 6677 4787 1647 321 71 11 NA 14  
2001 5044 35019 62139 62456 22794 5266 1773 1163 343 85 6 7 22  
2002 2348 31033 76175 67656 42122 11527 1801 529 223 120 21 9 6  
2003 7263 20885 64447 71109 36706 14002 2887 492 142 97 21 43 NA  
2004 2090 38226 50826 68350 50838 18118 6239 1746 295 127 39 16 8  
2005 5815 19768 113144 61665 44777 20553 6285 2348 562 100 21 24 7  
2006 8548 47207 33625 78150 31770 15667 7245 1788 737 210 26 45 155  
2007 25473 43817 62877 26303 34392 11240 4080 1381 505 285 44 13 35  
2008 8459 51704 40656 35072 14037 20676 5503 1794 715 229 42 26 13  
2009 4866 38711 83998 46639 20789 8417 8920 1957 872 987 76 21 20  
2010 1778 16193 53855 75853 36797 17062 4784 4325 3034 913 189 49 35  
2011 1418 8033 32472 70938 73875 21116 11708 5058 3237 600 434 12 0  
2012 2695 10462 16646 40372 70014 48315 12326 5214 1926 1124 317 70 24  
2013 2903 13659 22752 21020 54231 74451 47124 9143 2963 694 449 89 145  
2014 5234 19226 38407 36633 29901 56109 47540 22738 3717 1169 313 210 157  
2015 4315 31383 41181 51209 33745 22530 23609 24553 16071 2510 468 134 254  
2016 2076 11291 50231 43609 35265 23417 14592 20105 15862 4781 871 249 308  
2017 6535 13128 28365 66504 46136 28507 15307 10073 12169 6465 1927 399 285  
2018 6120 28569 27128 33816 54328 28323 16208 9722 7132 3740 2295 840 271  
2019 4389 21405 48422 29849 26548 39759 17395 8883 4606 2109 715 564 322  
2020 3992 22446 37649 52454 31009 20904 23618 11768 6130 1572 591 310 278  
2021 2983 17935 54005 59732 59136 22397 14744 13589 4919 1737 678 228 344  
2022 5725 23486 53467 68112 47067 30569 11776 6046 3797 1489 575 164 107  
2023 11046 15493 30653 37250 38616 28163 16233 5885 1995 984 195 56 94  
2024 10389 21050 21148 26784 28564 23911 14331 5597 1133 263 105 33 12  
2025 2131 16673 19634 14882 15130 13287 10667 5346 1564 353 77 34 11  
Table 3.6. Northeast Arctic cod. Catch numbers-at-age (Thous)
Norway                          
Year     Age                      
  2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1983 0.41 0.82 1.32 2.05 2.82 3.94 5.53 7.70 9.17 11.46 16.59 16.42 16.96 24.46
1984 1.16 1.47 1.97 2.53 3.13 3.82 4.81 5.95 7.19 7.86 8.46 7.99 9.78 10.64
1985 0.34 0.99 1.43 2.14 3.27 4.68 6.05 7.73 9.86 11.87 14.16 14.17 13.52 15.33
1986 0.30 0.67 1.34 2.04 3.14 4.60 5.78 6.70 7.52 9.74 10.68 12.86 9.59 16.31
1987 0.24 0.48 0.88 1.66 2.72 4.35 6.21 8.78 9.78 12.50 13.75 15.12 10.43 19.95
1988 0.36 0.56 0.83 1.31 2.34 3.84 6.50 8.76 9.97 11.06 14.43 19.02 12.89 10.16
1989 0.53 0.75 0.90 1.17 1.95 3.20 4.88 7.82 9.40 11.52 11.47   19.47 14.68
1990 0.40 0.81 1.22 1.59 2.14 3.29 4.99 7.83 10.54 14.21 17.63 7.97 14.64  
1991 0.63 1.37 1.77 2.31 3.01 3.68 4.63 6.06 8.98 12.89 17.00   14.17 16.63
1992 0.41 1.10 1.79 2.45 3.22 4.33 5.27 6.21 8.10 10.51 11.59   15.81 6.52
1993 0.30 0.83 1.70 2.41 3.35 4.27 5.45 6.28 7.10 7.82 10.10 16.03 19.51 17.68
1994 0.30 0.82 1.37 2.23 3.35 4.27 5.56 6.86 7.45 7.98 9.53 12.16 11.45 19.79
1995 0.44 0.78 1.26 1.87 2.80 4.12 5.15 5.96 7.90 8.67 9.20 11.53 17.77 21.11
1996 0.29 0.90 1.15 1.67 2.58 4.08 6.04 6.62 7.96 9.36 10.55 11.41 9.51 24.24
1997 0.35 0.78 1.14 1.56 2.25 3.48 5.35 7.38 7.55 8.30 11.15 8.64 12.80  
1998 0.38 0.68 1.03 1.64 2.23 3.24 4.85 6.88 9.18 9.84 15.78 14.37 13.77 15.58
1999 0.46 0.88 1.16 1.65 2.40 3.12 4.26 6.00 6.52 10.64 14.05 12.67 9.20 17.22
2000 0.31 0.65 1.23 1.80 2.54 3.58 4.49 5.71 7.54 7.86 12.71 14.71 15.40 20.26
2001 0.30 0.77 1.18 1.83 2.75 3.64 4.88 5.93 7.43 8.90 10.22 11.11 13.03 18.85
2002 0.31 0.90 1.40 1.90 2.60 3.55 4.60 5.80 7.40 9.56 8.71 12.92 8.42 17.61
2003 0.55 0.88 1.39 2.01 2.63 3.59 4.83 5.57 7.262 9.36 9.52 9.52 10.68 21.66
2004 0.54 1.08 1.41 1.95 2.69 3.46 4.77 6.72 7.90 8.66 12.21 14.02 16.50 11.37
2005 0.58 0.92 1.38 1.86 2.61 3.54 4.57 6.41 8.24 9.89 11.04 14.08 11.81 20.08
2006 0.51 0.97 1.45 2.06 2.71 3.56 4.57 5.53 6.61 7.53 8.55 8.44 9.82 12.31
2007 0.53 1.07 1.70 2.37 3.26 4.36 5.45 6.71 8.08 8.56 9.75 11.72 12.72 15.58
2008 0.65 1.12 1.70 2.44 3.32 4.41 5.61 6.84 8.25 9.31 10.54 12.45 13.59 21.15
2009 0.56 0.98 1.47 2.10 2.83 3.90 5.06 5.76 7.31 7.79 7.81 10.68 11.83 14.76
2010 0.55 0.95 1.46 2.06 2.93 4.02 5.40 6.44 7.19 8.43 9.11 10.46 11.39 15.55
2011 0.53 1.09 1.50 2.06 2.85 3.70 5.01 6.26 7.33 8.34 9.87 13.23    
2012   0.83 1.32 1.92 2.65 3.52 4.71 6.34 8.11 9.92 11.31 13.45 15.75  
2013 0.43 0.95 1.40 2.00 2.64 3.44 4.51 5.67 7.29 8.80 10.33 11.38 12.56  
2014 0.59 1.07 1.55 2.15 2.80 3.70 4.57 5.78 6.97 8.35 9.46 10.99 12.28 15.49
2015 0.64 0.96 1.42 1.96 2.57 3.30 4.13 5.49 6.46 7.18 8.63 10.37 12.24 14.60
2016 0.59 0.96 1.46 1.99 2.71 3.57 4.56 5.78 6.82 8.08 9.33 10.01 11.68 14.79
2017 0.55 0.99 1.53 2.06 2.69 3.64 4.72 5.91 6.91 7.88 9.41 10.93 11.78 15.07
2018 0.62 1.05 1.51 2.11 2.80 3.48 4.54 5.80 6.97 7.64 9.11 10.29 11.35 14.05
2019 0.51 0.96 1.43 2.02 2.72 3.60 4.51 5.80 6.91 7.94 8.89 10.94 11.55 14.49
2020 0.58 0.94 1.42 2.01 2.66 3.50 4.59 5.77 7.03 8.46 9.78 10.97 12.74 16.08
2021 0.39 0.75 1.27 1.86 2.55 3.42 4.52 5.86 7.13 8.55 10.09 11.79 12.98 15.75
2022 0.32 0.71 1.15 1.73 2.42 3.36 4.47 5.79 7.18 8.65 10.09 11.45 12.93 16.43
2023 0.38 0.80 1.23 1.79 2.51 3.39 4.47 5.80 7.23 8.74 9.86 11.79 13.66 15.78
2024 0.38 0.74 1.21 1.84 2.58 3.50 4.59 5.90 7.34 8.95 10.77 12.17 13.51 20.81
2025 0.29 0.83 1.31 1.89 2.68 3.56 4.64 6.03 7.52 9.09 10.85 12.26 14.34 16.13
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries
Russia (trawl only)                          
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1983   0.65 1.05 1.58 2.31 3.39 4.87 6.86 8.72 10.40 12.07 14.43      
1984   0.53 0.88 1.45 2.22 3.21 4.73 6.05 8.43 10.34 12.61 14.95      
1985   0.33 0.77 1.31 1.84 2.96 4.17 5.94 6.38 8.58 10.28        
1986   0.29 0.61 1.14 1.75 2.45 4.17 6.18 8.04 9.48 11.33 12.35 14.13    
1987   0.24 0.52 0.88 1.42 2.07 2.96 5.07 7.56 8.93 10.80 13.05 18.16    
1988   0.27 0.49 0.88 1.32 2.06 3.02 4.40 6.91 9.15 11.65 12.53 14.68    
1989   0.50 0.73 1.00 1.39 1.88 2.67 4.06 6.09 7.76 9.88        
1990   0.45 0.83 1.21 1.70 2.27 3.16 4.35 6.25 8.73 10.85 13.52      
1991   0.36 0.64 1.05 2.03 2.85 3.77 4.92 6.13 8.36 10.44 15.84 19.33    
1992   0.55 1.20 1.44 2.07 3.04 4.24 5.14 5.97 7.25 9.28 11.36      
1993   0.48 0.78 1.39 2.06 2.62 4.07 5.72 6.79 7.59 11.26 14.79 17.71    
1994   0.41 0.81 1.24 1.80 2.55 2.88 4.96 6.91 8.12 10.28 12.42 16.93    
1995   0.37 0.77 1.21 1.74 2.37 3.40 4.71 6.73 8.47 9.58 12.03 16.99    
1996   0.30 0.64 1.09 1.60 2.37 3.42 5.30 7.86 8.86 10.87 11.80      
1997   0.30 0.57 1.00 1.52 2.18 3.30 4.94 7.15 10.08 11.87 13.54      
1998   0.33 0.68 1.06 1.60 2.34 3.39 5.03 6.89 10.76 12.39 13.61 14.72    
1999   0.24 0.58 0.98 1.41 2.17 3.26 4.42 5.70 7.27 10.24 14.12      
2000   0.18 0.48 0.85 1.44 2.16 3.12 4.44 5.79 7.49 9.66 10.36      
2001   0.12 0.31 0.62 1.00 1.53 2.30 3.31 4.57 6.55 8.11 9.52 11.99    
2002   0.20 0.60 1.05 1.46 2.14 3.27 4.47 6.23 8.37 10.06 12.37      
2003   0.23 0.63 1.06 1.78 2.40 3.41 4.86 6.28 7.55 11.10 13.41 12.12 14.51  
2004   0.30 0.57 1.09 1.55 2.37 3.20 4.73 6.92 8.41 9.77 11.08      
2005   0.33 0.65 0.98 1.50 2.10 3.08 4.31 5.81 8.42 10.37 13.56 14.13    
2006   0.27 0.68 1.05 1.49 2.25 3.16 4.54 5.90 8.59 10.31 12.31      
2007   0.23 0.67 1.12 1.66 2.25 3.31 4.57 6.27 8.20 10.02 12.36 12.42    
2008   0.28 0.64 1.16 1.74 2.65 3.58 4.74 5.73 7.32 8.07 9.52 12.52    
2009   0.31 0.64 1.09 1.58 2.11 3.19 4.80 6.58 7.97 9.84 11.51      
2010   0.25 0.57 1.00 1.64 2.28 3.14 4.53 5.98 8.03 9.71 10.70 13.53    
2011   0.25 0.62 1.05 1.56 2.18 2.95 4.33 6.21 8.04 10.13 12.25 15.18    
2012   0.29 0.60 1.07 1.66 2.25 2.95 4.17 6.23 8.58 11.08 12.24 14.07 15.22 16.39
2013   0.33 0.63 1.05 1.54 2.26 3.09 4.08 5.47 7.37 9.59 12.57 15.54 17.05  
2014   0.32 0.61 1.05 1.61 2.26 3.15 4.00 5.24 7.13 9.46 11.18 14.47    
2015   0.30 0.60 0.97 1.49 2.11 3.13 4.64 5.78 7.13 9.53 12.12 16.71 17.37  
2016   0.26 0.55 0.97 1.53 2.20 3.19 4.50 6.12 7.97 9.55 10.95 14.35 14.74 17.25
2017   0.33 0.63 1.03 1.56 2.24 3.24 4.67 6.34 7.74 9.40 11.12 14.43 16.67 11.91
2018   0.33 0.68 1.06 1.62 2.40 3.22 4.66 6.23 7.79 8.91 10.26 11.26 13.41 10.14
2019   0.29 0.62 1.10 1.60 2.33 3.22 4.44 6.45 8.10 9.60 11.02 13.83 10.65 10.65
2020   0.27 0.47 0.93 1.44 2.05 2.95 4.28 5.73 7.59 8.45 10.66 12.26 12.18 12.23
2021   0.19 0.44 0.76 1.35 2.02 2.81 4.25 6.26 7.81 9.59 10.67 10.86 13.62 12.31
2022   0.39 0.62 0.91 1.42 2.21 3.22 4.45 6.15 8.16 9.91 10.83 11.96   10.33
2023   0.36 0.63 1.03 1.55 2.29 3.27 4.49 5.81 7.05 8.92 9.99 10.77    
2024   0.38 0.73 1.10 1.57 2.19 2.97 4.24 5.10 6.44 8.60 11.40 15.47    
2025   0.31 0.65 1.15 1.72 2.50 3.59 4.84 5.94 6.94 8.59 9.49 11.03 10.4  
                               
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries (continued)
Germany (Division IIa and IIb)                      
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1994     0.68 1.04 2.24 3.49 4.51 5.79 6.93 8.16 8.46 8.74 9.48 15.25  
1995     0.44 0.84 1.5 2.72 3.81 4.46 4.81 7.37 7.69 8.25 9.47    
1996     0.84 1.15 1.64 2.53 3.58 4.13 3.9 4.68 6.98 6.43 11.32    
1997     0.43 0.92 1.42 2.01 3.15 4.04 5.16 4.82 3.96 7.04 8.8    
1998   0.23 0.73 1.17 1.89 2.72 3.25 4.13 5.63 6.5 8.57 8.42 11.45 8.79  
1999 1   0.853 1.448 1.998 2.65 3.473 4.156 5.447 6.82 5.902   8.01    
2000 2 0.26 0.73 1.36 2.04 2.87 3.67 4.88 5.78 7.05 8.45 8.67 9.33 6.88  
2001   0.38 0.80 1.21 1.90 2.74 3.90 4.99 5.69 7.15 7.32 11.72 9.11 6.60  
2002   0.35 1.00 1.31 1.80 2.53 3.64 4.38 5.07 6.82 9.21 7.59 13.18 19.17 19.20
2003   0.22 0.44 1.04 1.71 2.31 3.27 4.93 6.17 7.77 9.61 9.99 12.29 13.59  
2004 2 0.22 0.73 1.01 1.75 2.58 3.33 4.73 6.32 7.20 8.45 9.20 11.99 10.14 13.11
2005 3 0.57 0.77 1.13 1.66 2.33 3.36 4.38 5.92 6.65 7.26 10.01 11.14    
2006 2 0.71 0.91 1.39 1.88 2.56 3.77 5.33 6.68 9.14 10.89 11.51 16.83 18.77  
2007 3 0.59 1.35 1.79 2.51 3.53 4.00 4.95 6.55 7.54 9.71 11.40 11.57 23.34 15.61
2008 3 0.23 0.51 1.14 1.76 2.57 3.15 4.40 5.43 7.18 8.39 10.15 10.03 10.99 14.26
2009 3 0.35 0.60 1.19 1.83 2.96 4.08 5.61 6.97 8.55 9.13 10.54 13.34 10.30 17.06
2010 3 0.36 0.67 0.93 1.71 2.46 3.21 4.93 6.75 7.80 8.70 8.53 10.17 12.36 14.11
2011 1     1.75 3.09 3.30 3.28 4.13 4.99 6.61 7.91 9.38 10.79 14.67 14.91
2013 3     1.03 1.37 1.87 2.65 3.45 4.49 7.26 11.42 12.86 13.07    
2014 4   0.68 0.96 1.39 1.69 3.06 4.07 5.65 8.15 10.36 13.07 13.52    
2015 4 0.82 1.05 1.67 2.33 3.56 4.50 5.41 6.20 6.39          
2016 1   1.38 2.60 3.55 4.81 6.33 7.61 8.90 9.26 10.83 13.41 16.84 17.03 17.76
2017 1   1.58 2.79 3.93 3.93 4.77 6.35 8.16 9.09 10.39 11.24 12.48 14.39 13.04
2018 3 0.58 1.16 1.76 2.45 3.34 4.13 5.81 7.16 8.99 9.96 10.85 11.73 14.01 17.79
2019 1   0.82 1.37 1.80 2.26 3.49 4.45 5.44 7.08 9.25 9.39 13.30 12.24 15.25
2020 5     1.6 1.63 2.48 3.13 5.01 5.93 8.36 9.31 12.16 12.96 12.77 14.08
2021 2   0.68 1.3 1.52 2.25 3.22 4.58 6.49 7.43 10.37 11.73 14.64 14.34 15.74
2022 1   0.59 0.82 1.40 2.20 3.04 4.13 5.54 7.36 8.56 10.79 13.12 14.96 15.18
2023 2   0.74 0.94 1.25 1.89 2.97 4.36 5.7 5.55 8.4 10.06 9.86 22.68  
2024 1     2.05 2.43 2.46 2.66 3.24 3.89 3.87          
2025 4   0.6 0.9 1.34 2.06 2.44 3.13 4.13 5.78 7.47        
1 Division IIa only                        
2 IIa and IIb combined                      
3 I,IIa and IIb combined                      
4 Division IIb only                      
5 I and IIa combined                      
                         
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries (continued)
                         
Spain (Division IIb)                          
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1994   0.43 1.08 1.38 2.32 2.47 2.68 3.46 5.20 7.04 6.79 7.20 8.04 10.46 15.35
1995   0.42 0.51 0.98 1.99 3.41 4.95 5.52 8.62 9.21 11.42 9.78 8.08    
1996     0.66 1.12 1.57 2.43 3.17 3.59 4.44 5.48 6.79 8.10      
1997 1 0.51 0.65 1.22 1.68 2.60 3.39 4.27 6.67 7.88 11.34 13.33 10.03 8.69  
1998   0.47 0.74 1.15 1.82 2.44 3.32 3.71 5.00 7.26          
1999 1 0.21 0.69 1.06 1.69 2.50 3.32 4.72 5.76 6.77 7.24 7.63      
2000 1 0.23 0.61 1.24 1.75 2.47 3.12 4.65 6.06 7.66 10.94 11.40 7.20    
2001   0.23 0.64 1.25 1.95 2.86 3.55 4.95 6.46 8.50 11.07 13.09      
2002   0.16 0.55 1.00 1.48 2.17 3.29 4.47 5.35 8.29 12.23 9.01 12.16 15.2  
2003     0.58 1.05 1.70 2.33 3.33 4.92 6.24 9.98 13.07 14.74 14.17    
2004 1 0.31 0.56 0.80 1.28 1.96 2.59 3.72 5.36 5.28 7.41   11.43    
2005 1   0.63 1.14 1.85 2.48 3.43 4.25 5.38 8.41 11.19 15.04 16.93    
2006   0.30 0.61 0.99 1.46 2.04 2.55 3.39 3.50 4.70 6.36        
2007   0.42 0.60 1.20 1.76 2.40 3.18 3.96 5.19 6.61 9.48 7.65 12.65 15.74 19.66
2009 1 0.12 0.45 0.95 1.60 2.18 3.36 4.52 6.04 7.30 9.42 10.35 11.47 12.54  
2010 2 0.18 0.56 1.11 1.73 2.36 3.36 5.14 6.88 8.64 9.65 6.83      
2011 1   0.45 0.90 1.26 1.84 2.55 4.08 5.61 8.17 8.14 7.31 8.91    
2012 2   0.40 0.84 1.29 1.96 2.78 3.71 4.99 7.42   7.19 9.32    
2013   0.17 0.72 1.06 1.63 2.36 3.14 3.90 4.36 6.55          
2014   0.24 0.43 0.74 1.27 1.85 2.60 3.56 4.51 5.52 7.18 9.42 9.26 13.16 15.05
2015 2   0.40 0.80 1.19 1.79 2.45 3.38 4.41 5.85 6.64 7.48 6.77    
2016 3 0.11 0.38 0.76 1.20 1.72 2.50 3.39 4.96 7.11 8.56        
2017 2 0.12 0.42 0.75 1.17 1.69 2.50 3.39 4.47 5.69 5.93 6.00 10.91 13.57 10.52
2018 2 0.19 0.45 0.83 1.30 1.86 2.57 3.55 4.92 5.51 7.84 7.08 7.28    
2019 2 0.19 0.39 0.90 1.30 1.85 2.65 3.48 4.83 5.96 5.67 7.04 8.36    
2021 2   0.36 0.60 1.20 1.83 2.49 3.11 4.55 6.10 6.50 7.03   9.013 17.13
2022 2   0.49 0.80 1.25 1.83 2.77 4.06 5.52 7.71 8.87 12.18      
2023 2   0.54 1.15 1.56 2.28 3.27 4.24 5.56 6.62 8.62 7.00 12.98 16.92  
2024 2 0.15 0.44 0.71 1.41 1.98 2.69 3.74 5.24 5.93 8.41 10.28 9.99 12.26 20.16
2025 2   0.37 0.91 1.57 2.28 3.12 4.19 5.42 7.09 7.52 12.83 9.11    
1 IIa and IIb combined                      
2 I,IIa and IIb combined                      
3 I and IIb combined                        
Iceland (Sub-area I)                        
1994   0.42 0.85 1.44 2.77 3.54 4.08 5.84 6.37 7.02 7.48 7.37      
1995     1.17 0.91 1.60 2.28 3.61 4.73 6.27     6.26      
1996     0.36 0.99 1.55 2.83 3.79 4.81 5.34 7.25 7.68 9.08 8.98 10.52  
1997   0.42 0.43 0.76 1.60 2.40 3.45 4.40 5.74 6.15   8.28 10.52 9.89  
UK (England & Wales)                        
1995 1     1.47 2.11 3.47 5.57 6.43 7.17 8.12 8.05 10.2 10.1    
1996 2     1.55 1.81 2.42 3.61 6.3 6.47 7.83 7.91 8.93 9.38 10.9  
1997 2     1.93 2.17 3.07 4.17 4.89 6.46   12.3 8.44      
  1 Division IIa and IIb                      
  2 Division IIa                        
Poland (Division IIb)                        
2006   0.18 0.51 0.89 1.55 2.23 3.6 5.28 6.95 8.478 11 10.8 15.6 18.9  
2008     0.49 0.90 1.45 2.24 2.79 3.82 4.68 5.015 6.45 7.02 7.22 5.99 6.91
2009       1.02 1.72 2.65 3.81 5.23 6.91 8.862 11.1 13.6 16.5    
2010       1.39 1.66 2.29 2.98 3.92 5.18 6.313 6.66 8.72 9.05    
2011       0.99 1.50 2.17 3.15 4.43 7.45 7.28          
2016 1   0.84 1.59 2.29 2.81 3.91 4.78 5.61 6.709 7.89 8.54 11.6 13.7 16.09
2017 2   0.71 1.23 1.52 2.47 3.52 4.78 6.97 9.193 9.95 10.9 14.1    
2018 3   0.74 1.15 1.66 2.45 3.55 4.48 6.06 6.31 7.59 7.91 8.28 8.52 9.40
2019 1       1.57 2.00 2.69 4.04 5.61 7.23 9.13 11.62 12.41 13.46 11.47
  1 Division IIa                        
  2 Division IIa and IIb                      
  3 I and IIb combined                      
Table 3.7. Northeast Arctic COD. Weights at age (kg) in landings from various countries (continued)

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.350 0.590 1.110 1.690 2.370 3.170 3.980 5.050 5.920 7.200 8.150 8.130 9.250
1947 0.320 0.560 0.950 1.500 2.140 2.920 3.650 4.560 5.840 7.420 8.850 8.790 10.000
1948 0.340 0.530 1.260 1.930 2.460 3.360 4.220 5.310 5.920 7.090 8.430 8.180 9.430
1949 0.370 0.670 1.110 1.660 2.500 3.230 4.070 5.270 5.990 7.080 8.220 8.260 8.700
1950 0.390 0.640 1.290 1.700 2.360 3.480 4.520 5.620 6.400 7.960 8.890 9.070 10.270
1951 0.400 0.830 1.390 1.880 2.540 3.460 4.880 5.200 7.140 8.220 9.390 9.500 9.520
1952 0.440 0.800 1.330 1.920 2.640 3.710 5.060 6.050 7.420 8.430 10.190 10.130 10.560
1953 0.400 0.760 1.280 1.930 2.810 3.720 5.060 6.340 7.400 8.670 10.240 11.410 11.930
1954 0.440 0.770 1.260 1.970 3.030 4.330 5.400 6.750 7.790 10.670 9.680 9.560 11.110
1955 0.320 0.570 1.130 1.730 2.750 3.940 4.900 7.040 7.200 8.780 10.080 11.020 12.110
1956 0.330 0.580 1.070 1.830 2.890 4.250 5.550 7.280 8.000 8.350 9.940 10.250 11.560
1957 0.330 0.590 1.020 1.820 2.890 4.280 5.490 7.510 8.240 9.250 10.610 10.820 12.070
1958 0.340 0.520 0.950 1.920 2.940 4.210 5.610 7.350 8.670 9.580 11.630 11.000 13.830
1959 0.350 0.720 1.470 2.680 3.590 4.320 5.450 6.440 7.170 8.630 11.620 11.950 13.000
1960 0.340 0.510 1.090 2.130 3.380 4.870 6.120 8.490 7.790 8.300 11.420 11.720 13.420
1961 0.310 0.550 1.050 2.200 3.230 5.110 6.150 8.150 8.680 9.600 11.950 13.180 13.420
1962 0.320 0.550 0.930 1.700 3.030 5.030 6.550 7.700 9.270 10.560 12.720 13.480 14.440
1963 0.320 0.610 0.960 1.730 3.040 4.960 6.440 7.910 9.620 11.310 12.740 13.190 14.290
1964 0.330 0.550 0.950 1.860 3.250 4.970 6.410 8.070 9.340 10.160 12.890 13.250 14.000
1965 0.380 0.680 1.030 1.490 2.410 3.520 5.730 7.540 8.470 11.170 13.720 13.460 14.120
1966 0.440 0.740 1.180 1.780 2.460 3.820 5.360 7.270 8.630 10.660 14.150 14.000 15.000
1967 0.290 0.810 1.350 2.040 2.810 3.480 4.890 7.110 9.030 10.590 13.830 14.150 16.760
1968 0.330 0.700 1.480 2.120 3.140 4.210 5.270 6.650 9.010 9.660 14.850 16.300 17.000
1969 0.440 0.790 1.230 2.030 2.900 3.810 5.020 6.430 8.330 10.710 14.210 15.000 17.000
1970 0.370 0.910 1.340 2.000 3.000 4.150 5.590 7.600 8.970 10.990 14.070 14.610 16.000
1971 0.450 0.880 1.380 2.160 3.070 4.220 5.810 7.130 8.620 10.830 12.950 14.250 15.970
1972 0.380 0.770 1.430 2.120 3.230 4.380 5.830 7.620 9.520 12.090 13.670 13.850 16.000
1973 0.380 0.910 1.540 2.260 3.290 4.610 6.570 8.370 10.540 11.620 13.900 14.000 15.840
1974 0.320 0.660 1.170 2.220 3.210 4.390 5.520 7.860 9.820 11.410 13.240 13.700 14.290
1975 0.410 0.640 1.110 1.900 2.950 4.370 5.740 8.770 9.920 11.810 13.110 14.000 14.290
1976 0.350 0.730 1.190 2.010 2.760 4.220 5.880 9.300 10.280 11.860 13.540 14.310 14.280
1977 0.490 0.900 1.430 2.050 3.300 4.560 6.460 8.630 9.930 10.900 13.670 14.260 14.910
1978 0.490 0.810 1.450 2.150 3.040 4.460 6.540 7.980 10.150 10.850 13.180 14.000 15.000
1979 0.350 0.700 1.240 2.140 3.150 4.290 6.580 8.610 9.220 10.890 14.340 14.500 15.310
1980 0.270 0.560 1.020 1.720 3.020 4.200 5.840 7.260 8.840 9.280 14.450 15.000 15.500
1981 0.490 0.980 1.440 2.090 2.980 4.850 6.570 9.160 10.820 10.770 13.930 15.000 16.000
1982 0.370 0.660 1.350 1.990 2.930 4.240 6.460 8.510 12.240 10.780 14.040 15.000 16.000
1983 0.840 1.370 2.090 2.860 3.990 5.580 7.770 9.290 11.550 11.420 12.800 14.180 15.550
1984 1.420 1.930 2.490 3.140 3.910 4.910 6.020 7.400 8.130 11.420 12.800 14.180 15.550
1985 0.940 1.370 2.020 3.220 4.630 6.040 7.660 9.810 11.800 11.420 12.800 14.180 15.550
1986 0.640 1.270 1.880 2.790 4.490 5.840 6.830 7.690 9.810 11.420 12.800 14.180 15.550
1987 0.490 0.880 1.550 2.330 3.440 5.920 8.600 9.600 12.170 11.420 12.800 14.180 15.550
1988 0.540 0.850 1.320 2.240 3.520 5.350 8.060 9.510 11.360 11.420 12.800 14.180 15.550
1989 0.740 0.960 1.310 1.920 2.930 4.640 7.520 9.120 11.080 11.420 12.800 14.180 15.550
1990 0.810 1.220 1.640 2.220 3.240 4.680 7.300 9.840 13.250 11.420 12.800 14.180 15.550
1991 1.050 1.450 2.150 2.890 3.750 4.710 6.080 8.820 11.800 11.420 12.800 14.180 15.550
1992 1.160 1.570 2.210 3.100 4.270 5.190 6.140 7.770 10.120 11.420 12.800 14.180 15.550
1993 0.810 1.520 2.160 2.790 4.070 5.530 6.470 7.190 7.980 11.457 12.800 14.180 15.550
1994 0.820 1.300 2.060 2.890 3.210 5.200 6.800 7.570 8.010 9.955 13.012 14.180 15.550
1995 0.770 1.200 1.780 2.590 3.810 4.990 6.230 8.050 8.740 9.774 11.388 14.546 15.550
1996 0.790 1.110 1.610 2.460 3.820 5.720 6.740 8.040 9.280 10.451 11.190 12.819 16.045
1997 0.670 1.040 1.530 2.220 3.420 5.200 7.190 7.730 8.610 11.145 11.926 12.608 14.234
1998 0.680 1.050 1.620 2.300 3.300 4.860 6.870 9.300 10.300 10.754 12.676 13.394 14.011
1999 0.630 1.010 1.540 2.340 3.210 4.290 6.000 6.730 10.080 11.151 12.255 14.191 14.839
2000 0.570 1.040 1.610 2.340 3.340 4.480 5.720 7.520 8.020 11.930 12.682 13.743 15.675
2001 0.660 1.050 1.620 2.510 3.510 4.780 6.040 7.540 9.000 10.230 13.519 14.197 15.206
2002 0.720 1.130 1.560 2.310 3.520 4.780 6.200 7.660 9.140 10.379 11.687 15.081 15.681
2003 0.670 1.120 1.830 2.500 3.580 5.040 6.360 8.200 10.710 10.167 11.848 13.138 16.602
2004 0.720 1.130 1.610 2.430 3.270 4.720 6.710 7.980 9.190 10.840 11.619 13.310 14.571
2005 0.690 1.080 1.570 2.210 3.260 4.440 6.230 8.190 9.720 10.626 12.347 13.066 14.752
2006 0.720 1.160 1.600 2.390 3.320 4.540 5.470 6.780 7.700 10.800 12.116 13.842 14.494
2007 0.740 1.210 1.830 2.510 3.820 5.040 6.580 8.080 8.940 10.349 12.304 13.596 15.309
2008 0.770 1.270 1.870 2.820 3.790 5.120 6.220 7.750 8.400 10.139 11.816 13.795 15.052
2009 0.750 1.170 1.740 2.420 3.860 5.350 6.430 8.010 8.670 10.055 11.588 13.276 15.261
2010 0.780 1.200 1.740 2.440 3.400 5.040 6.250 7.320 8.530 10.378 11.496 13.033 14.715
2011 0.780 1.310 1.720 2.370 3.200 4.620 6.180 7.470 8.570 10.387 11.847 12.935 14.459
2012 0.670 1.140 1.730 2.340 3.120 4.400 6.280 8.240 10.350 10.367 11.857 13.309 14.356
2013 0.710 1.170 1.670 2.360 3.190 4.220 5.580 7.310 9.080 11.029 11.835 13.320 14.750
2014 0.790 1.200 1.730 2.340 3.280 4.210 5.490 6.980 8.670 10.823 12.551 13.297 14.761
2015 0.780 1.090 1.550 2.180 3.140 4.460 5.610 6.620 7.340 10.215 12.328 14.058 14.737
2016 0.780 1.140 1.660 2.260 3.250 4.500 5.980 7.310 8.540 9.372 11.670 13.822 15.536
2017 0.710 1.150 1.660 2.320 3.320 4.670 6.130 7.150 8.140 9.597 10.752 13.121 15.288
2018 0.860 1.170 1.710 2.500 3.310 4.610 6.030 7.320 8.060 9.707 10.998 12.137 14.552
2019 0.680 1.150 1.660 2.390 3.330 4.450 6.110 7.290 8.410 9.806 11.117 12.401 13.513
2020 0.709 1.084 1.604 2.195 3.092 4.390 5.731 7.218 8.406 9.989 11.226 12.529 13.793
2021 0.527 0.896 1.487 2.159 2.982 4.364 6.048 7.348 8.796 9.991 11.424 12.645 13.928
2022 0.623 0.956 1.478 2.245 3.247 4.441 5.877 7.328 8.738 10.122 11.427 12.858 14.051
2023 0.638 1.056 1.617 2.346 3.310 4.470 5.794 7.141 8.777 9.988 11.519 12.792 14.184
2024 0.727 1.109 1.612 2.279 3.135 4.387 5.469 7.019 8.828 10.093 11.408 12.942 14.187
2025 0.675 1.168 1.749 2.520 3.525 4.674 5.951 7.241 8.860 9.814 11.523 12.824 14.345
Table 3.8. Northeast Arctic COD. Catch weights at age (kg)

* values on 1993-2025, ages 12-15, have been updated by the VB model using the most recent actual data for ages 3-11

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.35 0.59 1.11 1.69 2.37 3.17 3.98 5.05 5.92 7.2 8.146 8.133 9.253
1947 0.32 0.56 0.95 1.5 2.14 2.92 3.65 4.56 5.84 7.42 8.848 8.789 9.998
1948 0.34 0.53 1.26 1.93 2.46 3.36 4.22 5.31 5.92 7.09 8.43 8.181 9.433
1949 0.37 0.67 1.11 1.66 2.5 3.23 4.07 5.27 5.99 7.08 8.218 8.259 8.701
1950 0.39 0.64 1.29 1.7 2.36 3.48 4.52 5.62 6.4 7.96 8.891 9.07 10.271
1951 0.4 0.83 1.39 1.88 2.54 3.46 4.88 5.2 7.14 8.22 9.389 9.502 9.517
1952 0.44 0.8 1.33 1.92 2.64 3.71 5.06 6.05 7.42 8.43 10.185 10.134 10.563
1953 0.4 0.76 1.28 1.93 2.81 3.72 5.06 6.34 7.4 8.67 10.238 11.409 11.926
1954 0.44 0.77 1.26 1.97 3.03 4.33 5.4 6.75 7.79 10.67 9.68 9.557 11.106
1955 0.32 0.57 1.13 1.73 2.75 3.94 4.9 7.04 7.2 8.78 10.077 11.023 12.105
1956 0.33 0.58 1.07 1.83 2.89 4.25 5.55 7.28 8 8.35 9.944 10.248 11.564
1957 0.33 0.59 1.02 1.82 2.89 4.28 5.49 7.51 8.24 9.25 10.605 10.825 12.075
1958 0.34 0.52 0.95 1.92 2.94 4.21 5.61 7.35 8.67 9.58 11.631 11 13.832
1959 0.35 0.72 1.47 2.68 3.59 4.32 5.45 6.44 7.17 8.63 11.621 11.95 13
1960 0.34 0.51 1.09 2.13 3.38 4.87 6.12 8.49 7.79 8.3 11.422 11.719 13.424
1961 0.31 0.55 1.05 2.2 3.23 5.11 6.15 8.15 8.68 9.6 11.952 13.181 13.422
1962 0.32 0.55 0.93 1.7 3.03 5.03 6.55 7.7 9.27 10.56 12.717 13.482 14.44
1963 0.32 0.61 0.96 1.73 3.04 4.96 6.44 7.91 9.62 11.31 12.737 13.193 14.287
1964 0.33 0.55 0.95 1.86 3.25 4.97 6.41 8.07 9.34 10.16 12.886 13.251 14
1965 0.38 0.68 1.03 1.49 2.41 3.52 5.73 7.54 8.47 11.17 13.722 13.465 14.118
1966 0.44 0.74 1.18 1.78 2.46 3.82 5.36 7.27 8.63 10.66 14.148 14 15
1967 0.29 0.81 1.35 2.04 2.81 3.48 4.89 7.11 9.03 10.59 13.829 14.146 16.756
1968 0.33 0.7 1.48 2.12 3.14 4.21 5.27 6.65 9.01 9.66 14.848 16.3 17
1969 0.44 0.79 1.23 2.03 2.9 3.81 5.02 6.43 8.33 10.71 14.211 15 17
1970 0.37 0.91 1.34 2 3 4.15 5.59 7.6 8.97 10.99 14.074 14.611 16
1971 0.45 0.88 1.38 2.16 3.07 4.22 5.81 7.13 8.62 10.83 12.945 14.25 15.973
1972 0.38 0.77 1.43 2.12 3.23 4.38 5.83 7.62 9.52 12.09 13.673 13.852 16
1973 0.38 0.91 1.54 2.26 3.29 4.61 6.57 8.37 10.54 11.62 13.904 14 15.841
1974 0.32 0.66 1.17 2.22 3.21 4.39 5.52 7.86 9.82 11.41 13.242 13.704 14.291
1975 0.41 0.64 1.11 1.9 2.95 4.37 5.74 8.77 9.92 11.81 13.107 14 14.293
1976 0.35 0.73 1.19 2.01 2.76 4.22 5.88 9.3 10.28 11.86 13.544 14.311 14.284
1977 0.49 0.9 1.43 2.05 3.3 4.56 6.46 8.63 9.93 10.9 13.668 14.255 14.906
1978 0.49 0.81 1.45 2.15 3.04 4.46 6.54 7.98 10.15 10.85 13.177 14 15
1979 0.35 0.7 1.24 2.14 3.15 4.29 6.58 8.61 9.22 10.89 14.344 14.5 15.315
1980 0.27 0.56 1.02 1.72 3.02 4.2 5.84 7.26 8.84 9.28 14.448 15 15.5
1981 0.49 0.98 1.44 2.09 2.98 4.85 6.57 9.16 10.82 10.77 13.932 15 16
1982 0.37 0.66 1.35 1.99 2.93 4.24 6.46 8.51 12.24 10.78 14.041 15 16
1983 0.37 0.92 1.6 2.44 3.82 4.76 6.17 7.7 9.25 12.621 14.544 16.466 18.388
1984 0.42 1.16 1.81 2.79 3.78 4.57 6.17 7.7 9.25 12.621 14.544 16.466 18.388
1985 0.413 0.875 1.603 2.81 4.059 5.833 7.685 10.117 14.29 12.621 14.544 16.466 18.388
1986 0.311 0.88 1.47 2.467 3.915 5.81 6.58 6.833 11.004 12.621 14.544 16.466 18.388
1987 0.211 0.498 1.254 2.047 3.431 5.137 6.523 9.3 13.15 12.621 14.544 16.466 18.388
1988 0.212 0.404 0.79 1.903 2.977 4.392 7.812 12.112 13.107 12.621 14.544 16.466 18.388
1989 0.299 0.52 0.868 1.477 2.686 4.628 7.048 9.98 9.25 12.621 14.544 16.466 18.388
1990 0.398 0.705 1.182 1.719 2.458 3.565 4.71 7.801 8.956 12.621 14.544 16.466 18.388
1991 0.518 1.136 1.743 2.428 3.214 4.538 6.88 10.719 9.445 12.621 14.544 16.466 18.388
1992 0.44 0.931 1.812 2.716 3.895 5.176 6.774 9.598 12.427 12.621 14.544 16.466 18.388
1993 0.344 1.172 1.82 2.823 4.031 5.497 6.765 8.571 10.847 12.621 14.544 16.466 18.388
1994 0.237 0.757 1.419 2.458 3.845 5.374 6.648 7.653 8.136 12.916 16.114 16.466 18.388
1995 0.197 0.487 1.141 2.118 3.504 4.915 6.949 9.051 9.775 11.409 15.248 18.62 18.388
1996 0.206 0.482 0.98 2.041 3.52 5.507 7.74 9.922 10.63 12.093 13.533 17.659 21.171
1997 0.211 0.537 1.11 1.876 3.381 5.258 8.546 10.653 10.776 13.232 14.313 15.745 20.122
1998 0.242 0.561 1.179 1.936 2.944 4.583 7.092 10.7 12.042 13.771 15.607 16.617 18.021
1999 0.209 0.514 1.183 2.007 3.037 4.479 6.512 10.028 11.117 14.698 16.215 18.057 18.981
2000 0.194 0.465 1.218 1.963 3.064 4.12 5.746 7.157 9.961 14.589 17.26 18.733 20.557
2001 0.284 0.513 1.21 2.25 3.299 5.066 6.373 9.29 11.456 13.317 17.138 19.887 21.294
2002 0.23 0.603 1.184 2.138 3.336 4.81 6.912 8.809 10.475 12.534 15.703 19.752 22.549
2003 0.233 0.551 1.317 2.022 3.239 4.984 6.727 8.422 14.226 12.524 14.815 18.164 22.403
2004 0.24 0.55 1.074 2.038 2.911 4.402 6.263 8.535 10.197 12.371 14.803 17.176 20.674
2005 0.225 0.61 1.083 1.87 3.002 3.971 5.789 8.127 12.759 12.611 14.63 17.163 19.594
2006 0.252 0.591 1.219 2.014 3.028 4.434 5.999 7.774 9.954 13.679 14.902 16.971 19.58
2007 0.249 0.663 1.329 2.127 3.183 4.59 6.477 8.88 12.124 12.261 16.111 17.274 19.368
2008 0.286 0.726 1.418 2.41 3.331 4.914 6.747 8.851 10.393 12.776 14.504 18.617 19.701
2009 0.274 0.652 1.353 2.312 3.803 5.103 6.75 9.252 10.119 12.323 15.09 16.83 21.168
2010 0.258 0.608 1.208 2.01 3.088 4.903 6.498 7.992 9.689 12.467 14.574 17.483 19.214
2011 0.225 0.6 1.097 1.926 2.861 4.403 6.531 8.648 9.885 12.508 14.738 16.909 19.929
2012 0.227 0.555 1.182 1.834 2.831 4.124 6.056 8.584 11.498 12.249 14.785 17.092 19.3
2013 0.247 0.577 1.134 1.998 2.841 4.015 5.523 8.077 10.304 13.207 14.491 17.144 19.501
2014 0.216 0.577 1.137 1.791 2.781 3.85 5.245 6.992 9.378 12.746 15.578 16.816 19.558
2015 0.229 0.54 1.134 1.934 2.753 4.081 5.315 7.135 8.947 11.778 15.056 18.025 19.198
2016 0.21 0.536 1.001 1.812 2.72 3.958 5.64 7.064 8.569 10.885 13.954 17.445 20.522
2017 0.255 0.675 1.107 1.896 2.826 4.158 5.7 7.628 9.071 10.634 12.934 16.216 19.888
2018 0.286 0.62 1.188 1.949 2.768 4.059 5.749 7.38 9.097 10.8 12.646 15.073 18.54
2019 0.24 0.603 1.085 1.82 3.025 4.296 5.891 7.293 9.667 11.186 12.837 14.749 17.28
2020 0.148 0.503 1.055 1.692 2.59 4.064 5.617 7.673 9.313 11.306 13.278 14.964 16.922
2021 0.17 0.437 0.954 1.718 2.669 3.804 5.822 7.396 9.334 11.187 13.415 15.459 17.159
2022 0.293 0.48 0.929 1.616 2.741 3.933 5.744 8.012 9.648 11.361 13.279 15.613 17.706
2023 0.272 0.645 1.022 1.71 2.876 4.352 5.925 7.879 9.79 11.36 13.478 15.46 17.876
2024 0.246 0.706 1.075 1.803 2.667 3.995 5.95 7.011 9.436 11.714 13.477 15.683 17.707
2025 0.196 0.586 1.154 1.895 2.794 3.842 5.418 7.034 8.231 11.349 13.881 15.683 17.953
2026 0.18 0.475 0.996 1.817 2.675 3.763 5.781 7.493 8.44 10.558 13.465 16.135 17.952
Table 3.9. Northeast Arctic COD. Stock weights at age (kg)

values on 1993-2026, ages 12-15, have been updated by the VB model using the most recent actual data for ages 3-11

Norway              
               
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
                 
1982 0 5 10 34 65 82 92 100
1983 5 8 10 30 73 88 97 100
                 
Russia                
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
                 
1984 0 5 18 31 56 90 99 100
1985 0 1 10 33 59 85 92 100
1986 0 2 9 19 56 76 89 100
1987 0 1 9 23 27 61 81 80
1988 0 1 3 25 53 79 100 100
1989 0 0 2 15 39 59 83 100
1990 0 2 6 20 47 62 81 95
1991 0 3 1 23 66 82 96 100
1992 0 1 8 31 73 92 95 100
1993 0 3 7 21 56 89 95 99
1994 0 1 8 30 55 84 95 98
1995 0 0 4 23 61 75 94 97
1996 0 0 1 22 56 82 95 100
1997 0 0 1 10 48 73 90 100
1998 0 0 2 15 47 87 97 96
1999 0 0.2 1.3 9.9 38.4 74.9 94 100
2000 0 0 6 19.2 51.4 84 95.5 100
2001 0.1 0.1 3.9 27.9 62.3 89.4 96.3 100
2002 0.1 1.9 10.9 34.4 68.1 82.8 97.6 100
2003 0.2 0 11 29.2 65.9 89.6 95.1 100
2004 0 0.7 8 33.8 63.3 83.4 96.4 96.4
2005 0 0.6 4.6 24.2 61.5 84.9 95.3 98.1
2006 0 0 6.1 29.6 59.6 89.5 96.4 100
2007 0 0.4 5.7 20.8 60.4 83.5 96 100
2008 0 0.5 4 24.6 48.3 84.4 94.7 98.7
2009 0 0 6 28 66 85 97 100
2010 0 0.2 1.5 22.8 47 77.4 90.2 95.5
2011 0 0 2.2 20.7 50.4 73.7 90.6 95.6
2012 0.2 0 1.5 10.8 43.9 76.1 90.8 96.4
2013 0 0 0.6 10.6 41.8 70.6 89.8 96.9
2014 0 0 1.9 14.1 45.9 76 92 97.5
2015 0 0.2 0.2 7.9 27 60.8 83.4 93.7
2016 0 0 0.2 5.2 22.4 44.1 74.8 92.5
2017* 0 0 0.8 6.3 20.8 51.6 80.4 98.6
2018 0 0.5 2.5 23.6 53.9 79.4 92.5 96.0
2019** 0 0 4.5 11.9 56.4 91.8 95.1 100
2020** 0 0.4 1.7 15.8 43.8 71.2 74.9 84.9
2021** 0 0 2.7 16.1 44.1 72.2 87.1 88.1
2022** 0 0 0.8 11.6 59.7 72.6 80.4 96.2
2023** 0 0 0.3 12.3 50.9 84.3 92.6 97.5
2024** 0 0 1.4 10.2 32.5 74.8 97.4 100
2025** 0 0 1.6 8.7 26.6 57.6 80.3 91.2
2026** 0 0 9.5 34.7 65.5 69.4 91.1 93.9
*Not used in inputs (instead ratios presented in WD 10, 2017 used for further calculations) **Not used in inputs (instead ratios presented in WD 15, 2019 used for further calculations)
Table 3.10. Northeast Arctic COD. Basis for maturity ogives (percent) used in the assessment. Norwegian and Russian data.
Norway                
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
1985 0.31 1.36 8.94 38.33 51.27 85.13 100 79.2
1986 2.92 7 7.85 18.85 49.72 66.52 35.59 80.09
1987 0 0.07 4.49 12.42 16.28 31.23 19.32  
1988 0 2.35 6.16 40.54 53.63 45.36 100 100
1989 1.52 0.67 3.88 30.65 70.36 82.02 100 100
1990 1.52 0.67 4.18 22 57.45 80.95 100 100
1991 0.1 3.4 13.93 38.03 75.52 90.12 95.39 100
1992 0.22 1.85 21.04 52.83 86.95 96.52 99.83 100
1993 0 2.6 10.37 52.6 84.8 97.25 99.3 99.73
1994 0.51 0.33 15.78 36.92 62.84 88.44 97.56 100
1995 0 0.62 8.19 51.48 63.75 81.11 98.01 99.34
1996 0.03 0 2.82 29.56 70.22 82.06 100 100
1997 0 0 1.48 17.91 73.31 93.01 99.12 100
1998 0.12 0.68 3.17 15.42 47.31 75.73 94.3 100
1999 0.42 0.16 1.6 27.46 70.48 94.57 98.99 100
2000 0 0.11 8.15 30.23 77.3 81.95 100 100
2001 0.49 0.51 9.03 43.81 62.52 74.36 94.13 100
2002 0.27 0.73 5.94 43.22 68.4 85.31 92.52 100
2003 0.02 0.18 6.5 35.97 68.56 87.97 96.3 100
2004 0.24 1.36 10.23 54.56 81.84 90.94 98.76 98.91
2005 0 0.27 9 55.16 81.77 93.51 98.03 100
2006 0 0.22 5.92 44.25 69.85 89.89 96.65 100
2007 0.12 0.33 8.7 47.88 84.29 91.68 99.11 100
2008 0 0.27 9.27 34.13 61.39 88.04 91.17 100
2009 0 0 9 46 85 86 98 99
2010 0 0.36 7.5 41.75 67.7 90.1 95.29 98.55
2011 0 0.2 5.2 48 77.7 89.7 97.3 97.2
2012 0 0 7.7 32.2 67.5 81 90.9 96.3
2013 0 0.3 1 20.2 55.3 80 91.8 99.3
2014 0 0.4 2 13.3 56.7 85 93.8 98.7
2015 0 0 1.9 10.9 29.2 79.1 93.1 99.6
2016 0.07 0.2 1.0 6.4 28.5 71.3 86.1 98.6
2017 0 0.2 0.5 18 54.8 81.4 95.9 100
2018 0 0.1 3.0 16.2 38.3 61.0 93.7 98.9
2019 0 0.4 4.0 24.0 68.6 93.2 96.7 99.8
2020 0 0.44 3.18 13.68 42.51 80.06 91.18 94.03
2021 0.28 0.25 0.79 17.11 43.21 68.80 90.75 98.63
2022 1.55 0 1.19 9.54 44.22 70.17 77.19 98.50
2023 0.80 2.10 2.29 8.89 49.84 80.60 94.93 94.05
2024 0.00 0.30 1.08 10.98 37.92 73.88 96.51 99.23
2025 0 0.55 2.10 8.73 34.70 60.27 84.23 95.63
2026 0 0.60 2.06 12.94 39.27 66.03 95.50 98.01
                 

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0 0 0.01 0.03 0.06 0.11 0.18 0.44 0.65 0.86 0.96 0.96 1
1947 0 0 0.01 0.03 0.06 0.13 0.16 0.42 0.75 0.91 0.95 1 1
1948 0 0 0.01 0.03 0.07 0.13 0.25 0.47 0.73 0.91 0.97 1 1
1949 0 0 0.01 0.03 0.09 0.17 0.29 0.54 0.79 0.88 0.97 1 1
1950 0 0 0.01 0.03 0.09 0.23 0.35 0.52 0.79 0.95 0.97 1 1
1951 0 0 0.01 0.03 0.1 0.24 0.4 0.58 0.72 0.85 0.96 1 1
1952 0 0 0.01 0.03 0.08 0.22 0.41 0.63 0.82 0.92 0.97 1 1
1953 0 0 0.01 0.03 0.07 0.19 0.4 0.64 0.84 0.94 0.97 1 1
1954 0 0 0.01 0.03 0.08 0.16 0.37 0.68 0.87 0.93 0.96 1 1
1955 0 0 0.01 0.03 0.07 0.13 0.26 0.53 0.83 0.92 0.97 1 1
1956 0 0 0.01 0.03 0.06 0.12 0.14 0.41 0.67 0.91 0.96 1 1
1957 0 0 0.01 0.03 0.06 0.09 0.12 0.22 0.6 0.82 0.97 1 1
1958 0 0 0.01 0.03 0.06 0.1 0.1 0.3 0.5 0.82 0.97 1 1
1959 0 0 0.01 0.04 0.12 0.34 0.49 0.67 0.84 0.87 1 1 1
1960 0 0.01 0.03 0.06 0.1 0.19 0.45 0.69 0.77 0.85 0.99 1 1
1961 0 0 0.01 0.06 0.12 0.31 0.65 0.91 0.98 0.98 1 0.96 1
1962 0 0 0.01 0.05 0.15 0.34 0.61 0.81 0.92 0.97 1 0.932 1
1963 0 0.01 0.01 0.03 0.07 0.28 0.42 0.81 0.98 0.98 1 0.966 1
1964 0 0 0 0.03 0.13 0.37 0.66 0.89 0.95 0.99 1 1 1
1965 0 0 0 0.01 0.06 0.2 0.55 0.73 0.99 0.98 1 1 1
1966 0 0 0.01 0.02 0.06 0.22 0.35 0.74 0.94 0.94 1 1 1
1967 0 0 0 0.03 0.07 0.14 0.38 0.64 0.89 0.9 1 1 1
1968 0 0 0.03 0.05 0.09 0.19 0.39 0.58 0.82 1 1 1 1
1969 0 0 0 0.02 0.04 0.12 0.34 0.55 0.74 0.95 1 1 1
1970 0 0.01 0 0.01 0.07 0.23 0.58 0.81 0.89 0.91 1 1 1
1971 0 0 0.01 0.05 0.11 0.3 0.59 0.79 0.86 0.88 1 1 1
1972 0.01 0.02 0.02 0.01 0.1 0.34 0.64 0.81 0.94 1 1 1 1
1973 0 0 0 0.02 0.16 0.53 0.81 0.92 0.95 0.98 1 1 1
1974 0 0 0 0.01 0.03 0.21 0.5 0.96 1 0.96 1 1 1
1975 0 0 0.01 0.02 0.09 0.21 0.56 0.78 0.79 0.95 1 1 1
1976 0 0 0 0.05 0.12 0.29 0.45 0.84 0.83 1 0.9 1 1
1977 0 0 0.02 0.08 0.26 0.54 0.76 0.87 0.93 0.94 0.9 1 1
1978 0 0 0 0.02 0.13 0.44 0.71 0.77 0.81 0.89 0.8 1 1
1979 0 0 0 0.03 0.13 0.39 0.77 0.89 0.83 0.78 0.9 1 1
1980 0 0 0 0.02 0.13 0.35 0.65 0.82 1 0.9 0.9 1 1
1981 0 0 0.02 0.07 0.2 0.54 0.8 0.97 1 1 1 1 1
1982 0 0.05 0.1 0.34 0.65 0.82 0.92 1 1 1 1 1 1
1983 0.01 0.08 0.1 0.3 0.73 0.88 0.97 1 1 1 1 1 1
1984 0 0.05 0.18 0.31 0.56 0.9 0.99 1 1 1 1 1 1
1985 0 0.01 0.09 0.36 0.55 0.85 0.96 0.9 1 1 1 1 1
1986 0 0.05 0.08 0.19 0.53 0.71 0.62 0.9 1 1 1 1 1
1987 0 0.01 0.07 0.18 0.22 0.46 0.5 0.75 1 1 1 1 1
1988 0 0.02 0.05 0.33 0.53 0.62 1 1 1 1 1 1 1
1989 0.008 0.003 0.029 0.228 0.547 0.705 0.915 1 1 1 1 1 1
1990 0.008 0.013 0.051 0.21 0.522 0.715 0.905 0.975 1 1 1 1 1
1991 0.001 0.032 0.075 0.305 0.708 0.861 0.957 1 1 1 1 1 1
1992 0.001 0.014 0.145 0.419 0.8 0.943 0.974 1 1 1 1 1 1
1993 0 0.028 0.087 0.368 0.704 0.931 0.972 0.994 1 1 1 1 1
1994 0 0.005 0.119 0.336 0.583 0.876 0.965 0.99 1 1 1 1 1
1995 0 0.005 0.06 0.373 0.614 0.748 0.955 0.98 1 1 1 1 1
1996 0 0 0.016 0.252 0.619 0.817 0.975 1 1 1 1 1 1
1997 0 0 0.014 0.14 0.597 0.842 0.95 0.967 1 1 1 1 1
1998 0 0.005 0.031 0.168 0.468 0.828 0.956 0.98 1 1 1 1 1
1999 0 0.001 0.014 0.17 0.506 0.841 0.961 1 1 1 1 1 1
2000 0 0 0.066 0.261 0.699 0.872 0.978 1 1 1 1 1 1
2001 0.001 0.006 0.069 0.378 0.646 0.851 0.955 1 1 1 1 1 1
2002 0.001 0.015 0.085 0.412 0.695 0.846 0.97 1 1 1 1 1 1
2003 0.001 0 0.089 0.331 0.662 0.882 0.96 1 1 1 1 1 1
2004 0 0.009 0.092 0.438 0.728 0.883 0.973 0.974 1 1 1 1 1
2005 0 0.003 0.066 0.366 0.72 0.897 0.971 0.991 1 1 1 1 1
2006 0 0.015 0.061 0.367 0.633 0.907 0.961 1 1 1 1 1 1
2007 0 0.007 0.076 0.37 0.719 0.884 0.977 1 1 1 1 1 1
2008 0.005 0.008 0.082 0.309 0.539 0.869 0.928 0.994 1 1 1 1 1
2009 0 0 0.081 0.362 0.745 0.859 0.978 0.997 0.994 1 1 1 1
2010 0.005 0.006 0.06 0.335 0.552 0.838 0.931 0.971 0.983 1 1 1 1
2011 0 0 0.04 0.339 0.644 0.798 0.932 0.963 0.991 1 1 1 1
2012 0.001 0 0.058 0.209 0.544 0.799 0.93 0.967 0.99 1 1 1 1
2013 0 0 0.01 0.156 0.482 0.763 0.913 0.982 0.985 1 1 1 1
2014 0 0 0.025 0.137 0.516 0.806 0.935 0.984 0.996 1 1 1 1
2015 0 0.001 0.004 0.074 0.282 0.681 0.891 0.963 0.984 1 1 1 1
2016 0 0 0.002 0.057 0.256 0.569 0.832 0.955 0.984 1 1 1 1
2017 0 0.018 0.003 0.148 0.463 0.749 0.931 0.99 1 1 1 1 1
2018 0 0.003 0.028 0.207 0.478 0.731 0.916 0.971 1 1 1 1 1
2019 0 0 0.01 0.126 0.466 0.842 0.942 0.968 0.996 1 1 1 1
2020 0 0 0.014 0.112 0.356 0.775 0.904 0.955 1 1 1 1 1
2021 0.002 0.002 0.006 0.14 0.386 0.657 0.893 0.974 0.959 1 1 1 1
2022 0.014 0 0.01 0.079 0.402 0.674 0.756 0.975 1 1 1 1 1
2023 0.007 0.02 0.019 0.074 0.454 0.774 0.93 0.931 1 1 1 1 1
2024 0 0.003 0.009 0.091 0.345 0.709 0.946 0.982 1 1 1 1 1
2025 0 0.005 0.017 0.072 0.316 0.579 0.825 0.947 1 1 1 1 1
2026 0 0.006 0.017 0.107 0.357 0.634 0.936 0.970 0.977 1 1 1 1
Table 3.11. Northeast Arctic cod. Proportion mature-at-age
Year/age 0 1 2 3 4 5 6
1984 0.000 445.517 22.050 0.210 0.000 0.000 0.000
1985 1666.586 364.480 71.015 0.195 0.000 0.000 0.000
1986 75.977 1176.758 356.833 91.073 0.000 0.000 0.000
1987 656.681 201.269 341.617 14.878 0.000 0.000 0.000
1988 32.022 477.665 25.936 1.766 0.000 0.000 0.000
1989 952.903 142.366 0.000 0.000 0.000 0.000 0.000
1990 0.000 109.519 23.394 0.000 0.000 0.000 0.000
1991 119.415 139.980 185.324 1.642 0.000 0.000 0.000
1992 3169.151 908.793 146.337 4.264 0.000 0.000 0.000
1993 4102.284 18808.372 488.612 47.671 1.337 0.429 0.000
1994 8431.643 7441.695 684.343 132.702 50.647 8.099 0.421
1995 8418.130 15428.601 784.351 216.107 68.583 3.719 0.225
1996 10519.853 22321.565 1505.455 137.712 52.854 18.369 1.064
1997 3126.829 18455.430 1937.256 167.155 15.846 1.195 0.212
1998 92.085 5958.935 594.415 206.893 23.500 1.439 0.455
1999 641.949 2153.277 308.935 51.333 4.319 0.005 0.000
2000 1985.822 2637.396 190.697 38.837 14.169 3.900 0.043
2001 96.489 2450.080 114.763 23.839 11.687 1.802 0.924
2002 7748.150 461.223 408.079 41.491 5.289 0.797 0.017
2003 5501.502 4142.630 107.905 24.009 0.000 0.000 0.000
2004 6509.070 2403.771 572.026 20.370 10.429 1.312 0.224
2005 2385.302 2959.102 132.889 80.477 4.568 5.527 0.513
2006 3059.691 2079.927 148.016 6.303 2.044 0.076 0.000
2007 2169.491 1115.686 183.196 73.029 3.369 0.125 0.000
2008 13666.275 665.739 82.010 92.678 30.590 4.056 0.000
2009 9199.560 7033.736 135.161 63.870 19.727 4.896 0.209
2010 4002.285 6849.978 291.566 52.189 26.550 15.472 2.049
2011 12188.009 4281.832 439.384 167.385 38.370 9.921 4.782
2012 20522.152 11552.782 992.813 98.256 29.175 4.112 0.000
2013 26014.012 4719.550 1529.658 169.811 16.209 7.120 1.073
2014 35620.557 6031.347 717.016 188.974 51.365 4.977 0.061
2015 1526.064 10493.065 301.631 65.936 37.436 15.784 1.555
2016 11818.869 2505.932 497.292 11.305 17.276 25.234 5.956
2017 20973.763 1547.446 378.187 113.586 7.735 3.992 2.731
2018 7305.954 13558.925 273.481 34.646 2.152 0.255 0.000
2019 818.241 8488.729 840.337 52.688 5.525 0.017 0.000
2020 3132.038 2476.266 334.678 145.464 41.842 10.266 0.532
2021 23133.275 1538.922 230.303 70.070 21.472 11.393 1.343
2022 9410.470 4375.246 277.617 12.053 1.214 0.056 0.000
2023 2956.285 1804.072 197.847 45.056 0.691 0.014 0.000
2024 2995.720 2588.269 281.263 123.264 19.185 0.190 0.000
2025 4102.000 1098.010 262.295 25.738 3.623 0.054 0.000
Table 3.12. The Northeast Arctic cod stock's consumption of cod in million individuals
North-East Arctic cod (Sub-areas I and II) (run name: XSAASA01)          
104                    
FLT15_I: NorBarTrSur_I                
1981 2026                  
1 1 0.085 0.189              
3 12                  
1 1640 2330 4000 3840 480 100 30 NA NA NA
1 2830 2770 2360 1550 1600 140 20 NA NA NA
1 2495 5234 4333 1696 582 321 97 NA NA NA
1 9749 2828 2144 1174 407 40 8 NA NA NA
1 16679 12598 1992 767 334 21 7 NA NA NA
1 80500 14393 6414 830 191 34 4 NA NA NA
1 24038 39115 5435 1570 200 45 3 NA NA NA
1 14803 8049 17331 2048 358 53 3 NA NA NA
1 4636 7586 3779 9019 982 94 10 NA NA NA
1 2835 3487 3459 2056 2723 161 38 NA NA NA
1 4585 3367 2565 2149 1215 1267 61 NA NA NA
1 15826 5771 1782 1283 767 429 272 NA NA NA
1 27389 14013 7248 1583 624 389 223 NA NA NA
1 29392 30704 15333 4572 795 261 148 55 55 13
1 28284 24236 25101 7642 1798 242 107 50 61 19
1 16308 11743 13859 10888 2443 264 37 17 12 16
1 31799 6844 7426 5999 2667 485 64 91 8 NA
1 35510 16694 3167 2615 1752 816 79 52 4 4
1 18848 18075 6139 1271 681 514 101 26 2 6
1 24581 13003 11173 2675 456 184 121 33 10 5
1 18279 19511 8290 3796 945 117 44 19 4 1
1 11836 13756 10895 4579 1440 220 32 18 5 2
1 37670 12631 9393 6688 1750 467 102 17 4 4
1 6388 18462 5346 4324 3059 685 165 28 7 2
1 24888 5506 10297 2238 1636 381 92 30 4 10
1 11649 11538 2832 4342 1372 524 136 24 18 18
1 36113 12773 6851 1365 2360 682 230 41 11 10
1 19437 30059 11190 4024 1734 811 179 36 3 3
1 12628 19670 22023 6069 1790 902 524 51 17 7
1 3681 11425 15480 14450 3956 1124 367 160 58 12
1 8540 5037 12970 13866 10351 1637 436 120 82 39
1 7572 6459 3371 9069 13258 4861 902 226 88 111
1 6884 11409 6318 4043 6454 7638 3352 222 287 84
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
FLT15_II: NorBarTrSur_II                
2014 2026                  
1 1 0.085 0.189              
3 12                  
1 22685 9379 8859 5639 3274 5305 3619 981 101 120
1 14407 22825 14729 11353 7443 2922 5351 1808 338 98
1 9937 13548 18831 11347 7233 2856 1317 1606 677 180
1 17925 6215 8454 9016 3782 2633 818 326 261 451
1 13941 18478 6181 6417 7388 2588 928 587 129 419
1 28157 17915 22190 7965 3296 3831 815 262 54 70
1 23773 16024 13156 11488 4983 2426 2044 453 166 243
1 11150 11935 11231 5428 3798 1357 727 353 125 103
1 5198 8868 8660 6651 4460 3042 570 229 208 255
1 4121 3982 4652 4317 3224 1426 749 158 34 35
1 19871 6331 3621 2996 2822 1615 890 268 37 20
1 15443 16818 5763 2976 2350 1897 953 355 85 49
1 4306 10507 13355 4226 2100 1520 789 351 122 42
FLT16: NorBarLofAcSur                
1985   2026                
1 1 0.085 0.26              
3 12                  
1 1530 1416 204 151 157 33 13 10 5 NA
1 4996 1343 684 116 77 31 3 NA 4 NA
1 628 2049 502 174 14 30 7 NA NA NA
1 504 355 578 109 40 3 0 1 NA NA
1 170 344 214 670 166 32 5 2 NA NA
1 148 206 262 269 668 73 6 3 NA NA
1 502 346 293 339 367 500 37 2 2 NA
1 1765 658 215 184 284 254 824 43 17 NA
1 3572 1911 1131 354 255 252 277 442 49 NA
1 3239 3745 2293 961 234 118 103 42 187 29
1 1377 1395 2036 1016 281 47 45 29 26 81
1 994 896 1128 974 462 59 11 4 9 15
1 1586 442 503 459 510 215 23 7 1 8
1 3912 1898 449 415 349 271 51 10 2 1
1 1476 1303 523 139 118 187 99 10 2 1
1 2948 1673 1492 546 146 69 50 13 6 2
1 1774 1606 851 621 191 27 8 6 3 1
1 614 1062 1011 713 366 94 12 8 6 0
1 3067 1168 1271 1461 677 235 38 4 1 2
1 334 852 349 456 480 217 88 24 2 7
1 1250 333 693 341 438 180 75 18 1 3
1 648 538 186 420 176 159 87 23 3 10
1 585 304 308 129 466 151 80 33 9 4
1 1999 2887 1166 789 248 352 55 28 17 7
1 1078 1825 1415 560 415 128 266 36 17 4
1 228 880 1614 1750 618 314 108 125 40 29
1 404 283 674 1595 2727 645 233 68 75 9
1 828 494 344 895 2266 1335 257 104 38 28
1 606 845 724 541 1336 2338 1617 215 111 88
1 2869 1242 1115 777 553 1490 1739 980 146 105
1 1387 2356 1300 1442 964 498 969 686 325 127
1 563 769 1199 664 594 409 356 565 344 286
1 1115 424 444 742 486 484 268 167 146 230
1 1090 1499 540 584 775 456 193 141 61 137
1 2036 1254 1446 639 493 739 273 218 65 111
1 1173 1173 819 943 506 509 495 195 84 80
1 649 591 558 402 369 163 114 143 82 34
1 294 530 570 504 476 345 116 68 53 39
1 287 265 336 346 278 183 135 32 17 15
1 1507 510 299 286 304 265 185 59 11 2
1 1304 1533 549 275 241 213 109 39 15 6
1 253 691 941 408 223 177 156 64 21 6
FLT18: RusSweptArea                
1982 2025                  
1 1 0.9 1              
3 12                  
1 1413 1525 721 198 551 174 37 19 15.1 1.5
1 520 642 506 358 179 252 94 NA NA NA
1 1189 700 489 357 154 69 61 17 14.6 7.4
1 1188 1592 1068 365 165 37 8 16 1.5 20.9
1 1622 1532 1493 481 189 42 2 6 NA NA
1 557 3076 900 701 184 60 25 4 0.7 3.3
1 993 938 2879 583 260 47 24 NA NA NA
1 490 978 1062 1454 1167 299 112 47 18.5 11.7
1 167 487 627 972 1538 673 153 49 9.1 1.7
1 1077 484 532 583 685 747 98 14 2.6 NA
1 675 308 239 273 218 175 25 25 4 0.1
1 1604 1135 681 416 354 87 3 7 0.6 0.7
1 1363 1309 1019 354 128 49 21 11 5.7 2.2
1 589 1065 1395 849 251 83 19 18 9.5 5.8
1 733 784 1035 773 348 132 19 5 12 1.6
1 1342 835 613 602 348 116 32 30 NA NA
1 2028 1363 788 470 259 130 48 5 NA 0.9
1 1587 2072 980 301 123 94 42 4 NA NA
1 1839 1286 1786 773 114 52 23 9 3.9 0.4
1 1224 1557 1290 1061 304 50 14 5 25.4 13.1
1 980 1473 1473 896 600 182 29 8 0.8 0.5
1 1246 1057 1166 1203 535 241 40 9 3.1 1.1
1 329 1576 880 1111 776 279 93 23 3.6 2.5
1 1408 631 1832 744 605 244 88 28 6.4 1.1
1 927 1613 777 1801 662 342 161 43 17.5 7.4
1 2579 1617 1903 846 1525 553 226 86 49 18.5
1 2203 3088 1635 1472 830 863 291 115 33 19
1 974 2317 3687 2016 1175 620 413 205 65 41
1 334 1070 2505 3715 1817 789 395 299 155.9 75.2
1 882 508 1432 3065 3300 917 439 176 175.5 105.4
1 815 1114 839 2122 3358 1878 432 195 45.7 76.3
1 747 1174 1177 884 2349 3132 1367 306 92.4 98.5
1 1399 1368 1725 1483 1111 1929 1297 383 93.4 55.1
1 657 1583 1742 1932 1610 925 1158 761 241.6 113.6
1 NA NA NA NA NA NA NA NA NA NA
1 1456 884 1063 1952 1231 567 266 120 119.8 103.8
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
1 NA NA NA NA NA NA NA NA NA NA
FLT007: Ecosystem                  
2004 2025                  
1 1 0.65 0.75              
3 12                  
1 1477 4215 1502 798 402 101 22 5 1.3 2
1 2166 558 1009 280 156 57 12 5 1.2 0.5
1 1861 2056 599 698 176 81 26 6 2.5 0.4
1 5862 1592 791 246 269 60 22 9 1.5 2.4
1 6526 4834 1323 511 128 175 33 9 2.3 3.9
1 2023 2806 2896 1017 319 127 73 26 8.1 5.1
1 568 1770 3972 4249 1427 385 105 68 15.9 6.2
1 1236 1015 2402 3004 1784 323 77 18 13.4 8.7
1 2291 1464 700 1508 1652 845 127 44 15.5 20.8
1 2491 1836 1257 632 1182 1302 538 91 33.2 24.6
1 NA NA NA NA NA NA NA NA NA NA
1 1744 2252 1413 726 486 262 353 266 78.7 27
1 772 937 1216 701 444 272 138 132 54.2 30.2
1 3750 1415 1049 1209 626 280 112 64 44.5 71.7
1 NA NA NA NA NA NA NA NA NA NA
1 4166 2323 2151 766 422 444 161 49 21.9 29.5
1 1395 1356 934 829 308 142 107 31 10.3 14.8
1 847 998 811 457 336 124 47 50 23.8 16.8
1 NA NA NA NA NA NA NA NA NA NA
1 699 401 571 527 450 233 93 21.6 8 8.9
1 2344 682 468 410 290 145 77 25 6.3 3.5
1 1692 1810 453 223 210 152 64 22 12.4 0.9
Table 3.13. Northeast Arctic COD. Tuning data

Table 3.14. Parameters settings used in SAM run

Configuration saved: Wed Jun 3 11:23:55 2026

#

# Where a matrix is specified rows corresponds to fleets and columns to ages.

# Same number indicates same parameter used

# Numbers (integers) starts from zero and must be consecutive

# Negative numbers indicate that the parameter is not included in the model

#

$minAge

# The minimium age class in the assessment

3

$maxAge

# The maximum age class in the assessment

15

$maxAgePlusGroup

# Is last age group considered a plus group for each fleet (1 yes, or 0 no).

1 1 1 1 1 1

$keyLogFsta

# Coupling of the fishing mortality states processes for each age (normally only

# the first row (= fleet) is used).

# Sequential numbers indicate that the fishing mortality is estimated individually

# for those ages; if the same number is used for two or more ages, F is bound for

# those ages (assumed to be the same). Binding fully selected ages will result in a

# flat selection pattern for those ages.

0 1 2 3 4 5 6 7 8 9 10 11 11

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$corFlag

# Correlation of fishing mortality across ages (0 independent, 1 compound symmetry,

# 2 AR(1), 3 separable AR(1).

# 0: independent means there is no correlation between F across age

# 1: compound symmetry means that all ages are equally correlated;

# 2: AR(1) first order autoregressive - similar ages are more highly correlated than

# ages that are further apart, so similar ages have similar F patterns over time.

# if the estimated correlation is high, then the F pattern over time for each age

# varies in a similar way. E.g if almost one, then they are parallel (like a

# separable model) and if almost zero then they are independent.

# 3: Separable AR - Included for historic reasons . . . more later

0

$keyLogFpar

# Coupling of the survey catchability parameters (nomally first row is

# not used, as that is covered by fishing mortality).

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

0 1 2 3 4 5 6 7 8 8 -1 -1 -1

9 10 11 12 13 14 15 16 17 17 -1 -1 -1

18 19 20 21 22 23 24 25 26 26 -1 -1 -1

27 28 29 30 31 32 33 34 35 35 -1 -1 -1

36 37 38 39 40 41 42 43 44 44 -1 -1 -1

$keyQpow

# Density dependent catchability power parameters (if any).

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$keyVarF

# Coupling of process variance parameters for log(F)-process (Fishing mortality

# normally applies to the first (fishing) fleet; therefore only first row is used)

0 1 1 1 1 1 1 1 1 1 1 1 1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$keyVarLogN

# Coupling of the recruitment and survival process variance parameters for the

# log(N)-process at the different ages. It is advisable to have at least the first age

# class (recruitment) separate, because recruitment is a different process than

# survival.

0 1 1 1 1 1 1 1 1 1 1 1 1

$keyVarLogP

#

$keyVarObs

# Coupling of the variance parameters for the observations.

# First row refers to the coupling of the variance parameters for the catch data

# observations by age

# Second and further rows refers to coupling of the variance parameters for the

# index data observations by age

0 0 1 1 1 1 1 1 1 1 1 1 1

2 3 3 3 3 3 3 3 3 3 -1 -1 -1

2 3 3 3 3 3 3 3 3 3 -1 -1 -1

4 4 4 4 4 4 4 4 4 4 -1 -1 -1

5 5 5 5 5 5 6 6 6 6 -1 -1 -1

7 7 7 7 7 7 7 7 7 7 -1 -1 -1

$obsCorStruct

# Covariance structure for each fleet ("ID" independent, "AR" AR(1), or "US" for unstructured). | Possible values are: "ID" "AR" "US"

"ID" "AR" "AR" "AR" "AR" "AR"

$keyCorObs

# Coupling of correlation parameters can only be specified if the AR(1) structure is chosen above.

# NA's indicate where correlation parameters can be specified (-1 where they cannot).

#3-4 4-5 5-6 6-7 7-8 8-9 9-10 10-11 11-12 12-13 13-14 14-15

NA NA NA NA NA NA NA NA NA NA NA NA

0 0 0 0 1 1 2 2 3 -1 -1 -1

0 0 0 0 1 1 2 2 3 -1 -1 -1

4 4 4 5 6 6 6 7 8 -1 -1 -1

9 9 9 9 9 10 10 10 11 -1 -1 -1

12 12 12 13 13 13 14 14 15 -1 -1 -1

$stockRecruitmentModelCode

# Stock recruitment code (0 for plain random walk, 1 for Ricker, 2 for Beverton-Holt, 3 piece-wise constant, 61 for segmented regression/hockey stick, 62 for AR(1), 63 for bent hyperbola / smooth hockey stick, 64 for power function with degree < 1, 65 for power function with degree > 1, 66 for Shepher, 67 for Deriso, 68 for Saila-Lorda, 69 for sigmoidal Beverton-Holt, 90 for CMP spline, 91 for more flexible spline, and 92 for most flexible spline).

0

$noScaledYears

# Number of years where catch scaling is applied.

0

$keyScaledYears

# A vector of the years where catch scaling is applied.

$keyParScaledYA

# A matrix specifying the couplings of scale parameters (nrow = no scaled years, ncols = no ages).

$fbarRange

# lowest and higest age included in Fbar

5 10

$keyBiomassTreat

# To be defined only if a biomass survey is used (0 SSB index, 1 catch index, 2 FSB index, 3 total catch, 4 total landings, 5 TSB index, 6 TSN index, and 10 Fbar idx).

-1 -1 -1 -1 -1 -1

$obsLikelihoodFlag

# Option for observational likelihood | Possible values are: "LN" "ALN"

"LN" "LN" "LN" "LN" "LN" "LN"

$fixVarToWeight

# If weight attribute is supplied for observations this option sets the treatment (0 relative weight, 1 fix variance to weight). Can be specified fleetwise.

0 0 0 0 0 0

$fracMixF

# The fraction of t(3) distribution used in logF increment distribution

0

$fracMixN

# The fraction of t(3) distribution used in logN increment distribution (for each age group)

0 0 0 0 0 0 0 0 0 0 0 0 0

$fracMixObs

# A vector with same length as number of fleets, where each element is the fraction of t(3) distribution used in the distribution of that fleet

0 0 0 0 0 0

$constRecBreaks

# For stock-recruitment code 3: Vector of break years between which recruitment is at constant level. The break year is included in the left interval. For spline stock-recruitment: Vector of log-ssb knots. (This option is only used in combination with stock-recruitment code 3, 90-92, and 290)

$predVarObsLink

# Coupling of parameters used in a prediction-variance link for observations.

-1 -1 0 0 0 0 0 0 0 0 0 0 0

1 1 1 1 1 1 1 1 1 1 NA NA NA

1 1 1 1 1 1 1 1 1 1 NA NA NA

2 2 2 2 2 2 2 2 2 2 NA NA NA

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 NA NA NA

3 3 3 3 3 3 3 3 3 3 NA NA NA

$stockWeightModel

# Integer code describing the treatment of stock weights in the model (0 use as known, 1 use as observations to inform stock weight process (GMRF with cohort and within year correlations)), 2 to add extra correlation to plusgroup

0

$keyStockWeightMean

# Coupling of stock-weight process mean parameters (not used if stockWeightModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$keyStockWeightObsVar

# Coupling of stock-weight observation variance parameters (not used if stockWeightModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$catchWeightModel

# Integer code describing the treatment of catch weights in the model (0 use as known, 1 use as observations to inform catch weight process (GMRF with cohort and within year correlations)), 2 to add extra correlation to plusgroup

0

$keyCatchWeightMean

# Coupling of catch-weight process mean parameters (not used if catchWeightModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$keyCatchWeightObsVar

# Coupling of catch-weight observation variance parameters (not used if catchWeightModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$matureModel

# Integer code describing the treatment of proportion mature in the model (0 use as known, 1 use as observations to inform proportion mature process (GMRF with cohort and within year correlations on logit(proportion mature))), 2 to add extra correlation to plusgroup

0

$keyMatureMean

# Coupling of mature process mean parameters (not used if matureModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$mortalityModel

# Integer code describing the treatment of natural mortality in the model (0 use as known, 1 use as observations to inform natural mortality process (GMRF with cohort and within year correlations)), 2 to add extra correlation to plusgroup

0

$keyMortalityMean

#

NA NA NA NA NA NA NA NA NA NA NA NA NA

$keyMortalityObsVar

# Coupling of natural mortality observation variance parameters (not used if mortalityModel==0)

NA NA NA NA NA NA NA NA NA NA NA NA NA

$keyXtraSd

# An integer matrix with 4 columns (fleet year age coupling), which allows additional uncertainty to be estimated for the specified observations

$logNMeanAssumption

#

0 0

$initState

#

0

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp FBAR5-10
1946 0.004 0.020 0.068 0.136 0.273 0.245 0.366 0.364 0.506 0.478 0.542 0.474 0.474 0.242
1947 0.002 0.022 0.091 0.188 0.398 0.292 0.438 0.439 0.740 0.601 0.699 0.730 0.730 0.308
1948 0.001 0.022 0.093 0.217 0.474 0.347 0.496 0.439 0.699 0.665 0.770 0.954 0.954 0.344
1949 0.002 0.030 0.138 0.314 0.481 0.365 0.459 0.466 0.777 0.710 0.809 1.052 1.052 0.371
1950 0.002 0.043 0.162 0.315 0.430 0.362 0.477 0.538 0.867 0.868 0.822 1.223 1.223 0.381
1951 0.010 0.074 0.233 0.343 0.444 0.391 0.501 0.564 0.761 0.865 0.845 1.266 1.266 0.413
1952 0.015 0.099 0.288 0.439 0.484 0.407 0.522 0.650 0.860 0.954 0.846 1.295 1.295 0.465
1953 0.021 0.108 0.246 0.346 0.395 0.374 0.474 0.608 0.784 0.794 0.772 1.037 1.037 0.407
1954 0.017 0.113 0.261 0.370 0.418 0.361 0.491 0.692 0.811 0.789 0.777 0.944 0.944 0.432
1955 0.014 0.109 0.288 0.496 0.499 0.514 0.562 0.739 0.899 0.828 0.784 0.879 0.879 0.516
1956 0.018 0.123 0.365 0.604 0.560 0.608 0.584 0.731 0.907 0.993 0.853 0.822 0.822 0.575
1957 0.020 0.137 0.290 0.520 0.542 0.586 0.536 0.683 0.886 0.927 0.838 0.721 0.721 0.526
1958 0.038 0.176 0.364 0.549 0.537 0.502 0.507 0.703 0.817 0.885 0.701 0.617 0.617 0.527
1959 0.035 0.199 0.441 0.525 0.527 0.524 0.553 0.718 0.746 0.788 0.687 0.637 0.637 0.548
1960 0.036 0.206 0.397 0.496 0.494 0.552 0.528 0.746 0.846 0.783 0.678 0.713 0.713 0.536
1961 0.039 0.216 0.482 0.570 0.545 0.648 0.685 0.822 0.896 0.871 0.739 0.757 0.757 0.625
1962 0.039 0.216 0.586 0.748 0.630 0.680 0.795 0.969 0.921 0.844 0.759 0.739 0.739 0.735
1963 0.023 0.192 0.612 0.809 0.746 0.759 0.877 1.047 1.051 0.841 0.775 0.733 0.733 0.808
1964 0.018 0.160 0.406 0.539 0.573 0.683 0.909 0.890 0.950 0.795 0.871 0.763 0.763 0.667
1965 0.023 0.147 0.368 0.460 0.466 0.591 0.789 0.831 0.790 0.677 0.872 0.775 0.775 0.584
1966 0.031 0.143 0.283 0.389 0.470 0.601 0.765 0.800 0.708 0.647 0.795 0.697 0.697 0.551
1967 0.029 0.153 0.251 0.328 0.467 0.643 0.822 0.813 0.762 0.645 0.791 0.627 0.627 0.554
1968 0.024 0.171 0.361 0.447 0.502 0.639 0.851 0.825 0.755 0.594 0.794 0.639 0.639 0.604
1969 0.025 0.178 0.416 0.492 0.652 0.812 1.002 0.911 0.848 0.620 0.751 0.628 0.628 0.714
1970 0.034 0.165 0.382 0.483 0.588 0.821 0.984 0.940 0.789 0.577 0.702 0.635 0.635 0.700
1971 0.027 0.160 0.309 0.363 0.501 0.795 0.993 0.915 0.800 0.604 0.677 0.624 0.624 0.646
1972 0.047 0.185 0.335 0.405 0.433 0.703 1.049 1.002 0.882 0.660 0.738 0.642 0.642 0.655
1973 0.153 0.222 0.386 0.442 0.461 0.684 0.932 0.870 0.826 0.679 0.736 0.625 0.625 0.629
1974 0.172 0.287 0.491 0.522 0.513 0.631 0.704 0.868 0.928 0.722 0.858 0.634 0.634 0.622
1975 0.107 0.274 0.505 0.627 0.641 0.730 0.733 0.732 0.963 0.802 0.903 0.607 0.607 0.661
1976 0.151 0.295 0.522 0.603 0.678 0.845 0.877 0.698 0.823 0.844 0.863 0.673 0.673 0.704
1977 0.132 0.318 0.649 0.674 0.700 0.893 1.101 0.831 0.927 0.817 0.946 0.789 0.789 0.808
1978 0.121 0.251 0.580 0.732 0.760 0.895 1.190 0.933 1.254 0.964 1.081 0.876 0.876 0.848
1979 0.055 0.204 0.404 0.607 0.704 0.807 1.094 0.984 1.249 1.041 1.034 0.946 0.946 0.767
1980 0.037 0.165 0.352 0.614 0.730 0.810 1.011 1.018 1.202 0.983 1.043 0.876 0.876 0.756
1981 0.031 0.147 0.286 0.573 0.796 0.951 1.112 0.933 1.051 0.946 0.968 0.838 0.838 0.775
1982 0.043 0.159 0.292 0.645 0.859 0.925 1.104 0.843 0.817 0.921 0.843 0.831 0.831 0.778
1983 0.026 0.163 0.303 0.553 0.941 1.095 1.094 0.836 0.728 0.751 0.789 0.858 0.858 0.804
1984 0.022 0.155 0.326 0.578 1.088 1.169 1.124 0.881 0.746 0.714 0.685 0.876 0.876 0.861
1985 0.039 0.160 0.385 0.646 0.960 1.184 1.000 0.784 0.780 0.678 0.621 0.933 0.933 0.827
1986 0.028 0.166 0.450 0.746 0.926 1.159 0.997 0.900 0.872 0.802 0.619 1.031 1.031 0.863
1987 0.039 0.153 0.477 0.808 1.000 1.138 0.940 0.981 0.915 0.891 0.659 1.150 1.150 0.891
1988 0.034 0.129 0.328 0.626 0.922 0.984 0.940 1.033 0.854 0.838 0.726 1.138 1.138 0.806
1989 0.031 0.110 0.251 0.427 0.639 0.794 0.753 0.878 0.724 0.737 0.709 1.218 1.218 0.624
1990 0.019 0.096 0.175 0.296 0.386 0.504 0.588 0.628 0.656 0.688 0.668 1.157 1.157 0.430
1991 0.020 0.101 0.211 0.335 0.423 0.462 0.529 0.523 0.543 0.698 0.646 1.139 1.139 0.414
1992 0.026 0.111 0.281 0.426 0.522 0.551 0.564 0.560 0.557 0.750 0.634 1.152 1.152 0.484
1993 0.013 0.108 0.318 0.527 0.617 0.659 0.700 0.686 0.728 0.823 0.736 1.156 1.156 0.585
1994 0.011 0.107 0.315 0.601 0.929 0.912 0.852 0.846 0.959 0.914 0.822 1.148 1.148 0.743
1995 0.013 0.114 0.296 0.602 0.922 0.905 0.942 0.952 1.006 0.927 0.897 1.107 1.107 0.770
1996 0.021 0.130 0.331 0.580 0.880 0.966 0.881 1.135 0.942 0.936 0.975 1.053 1.053 0.796
1997 0.021 0.159 0.442 0.674 0.891 1.242 1.079 1.235 1.002 1.003 0.960 0.988 0.988 0.927
1998 0.028 0.171 0.474 0.697 0.841 1.185 1.105 1.308 1.010 0.923 0.859 0.854 0.854 0.935
1999 0.014 0.145 0.463 0.678 0.860 1.112 1.169 1.260 0.937 0.906 0.726 0.766 0.766 0.924
2000 0.008 0.115 0.349 0.578 0.833 1.022 1.074 1.179 0.823 0.900 0.599 0.736 0.736 0.839
2001 0.009 0.098 0.283 0.515 0.753 0.938 0.869 1.096 0.733 0.799 0.498 0.739 0.739 0.742
2002 0.008 0.092 0.269 0.513 0.775 0.887 0.817 0.867 0.659 0.770 0.445 0.708 0.708 0.688
2003 0.010 0.089 0.282 0.462 0.716 0.812 0.796 0.812 0.609 0.689 0.417 0.673 0.673 0.647
2004 0.010 0.091 0.296 0.504 0.746 0.851 0.884 0.918 0.658 0.703 0.400 0.595 0.595 0.700
2005 0.011 0.100 0.337 0.541 0.736 0.846 0.923 0.873 0.689 0.748 0.397 0.546 0.546 0.709
2006 0.017 0.101 0.293 0.459 0.621 0.726 0.787 0.785 0.695 0.769 0.417 0.576 0.576 0.612
2007 0.020 0.091 0.253 0.363 0.450 0.544 0.581 0.583 0.653 0.766 0.428 0.524 0.524 0.462
2008 0.012 0.072 0.164 0.284 0.372 0.455 0.504 0.480 0.604 0.724 0.447 0.457 0.457 0.377
2009 0.010 0.061 0.135 0.227 0.322 0.368 0.483 0.410 0.561 0.763 0.497 0.403 0.403 0.324
2010 0.009 0.052 0.108 0.177 0.286 0.388 0.430 0.456 0.678 0.638 0.574 0.374 0.374 0.308
2011 0.006 0.050 0.106 0.162 0.254 0.356 0.472 0.551 0.639 0.556 0.559 0.318 0.318 0.317
2012 0.007 0.048 0.120 0.162 0.236 0.319 0.445 0.525 0.611 0.530 0.518 0.314 0.314 0.301
2013 0.008 0.049 0.124 0.193 0.274 0.362 0.468 0.552 0.610 0.544 0.487 0.354 0.354 0.329
2014 0.008 0.054 0.146 0.235 0.323 0.402 0.435 0.544 0.621 0.595 0.510 0.398 0.398 0.348
2015 0.010 0.056 0.153 0.278 0.332 0.401 0.371 0.525 0.805 0.675 0.554 0.461 0.461 0.343
2016 0.009 0.053 0.149 0.261 0.346 0.424 0.417 0.582 0.850 0.734 0.638 0.564 0.564 0.363
2017 0.010 0.058 0.152 0.278 0.372 0.492 0.480 0.615 0.960 0.840 0.731 0.670 0.670 0.398
2018 0.012 0.061 0.160 0.270 0.375 0.481 0.531 0.678 0.945 0.966 0.846 0.758 0.758 0.416
2019 0.009 0.065 0.157 0.260 0.387 0.517 0.548 0.731 0.908 0.960 0.855 0.785 0.785 0.433
2020 0.010 0.068 0.172 0.289 0.428 0.547 0.657 0.838 1.021 0.984 0.989 0.853 0.853 0.489
2021 0.012 0.075 0.214 0.374 0.517 0.600 0.803 1.007 1.063 1.196 1.197 1.077 1.077 0.586
2022 0.030 0.092 0.255 0.418 0.520 0.613 0.818 1.087 1.191 1.495 1.475 1.213 1.213 0.619
2023 0.040 0.100 0.242 0.373 0.495 0.631 0.837 1.139 1.225 1.525 1.446 1.372 1.372 0.620
2024 0.020 0.096 0.236 0.354 0.470 0.660 0.782 1.041 1.007 1.394 1.341 1.283 1.283 0.591
2025 0.008 0.076 0.206 0.329 0.406 0.536 0.728 1.083 0.846 1.424 1.349 1.257 1.257 0.548
                             
Table 3.15. Northeast Arctic cod. Fishing mortality

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp TOTAL
1946 1118705 684402 376095 171743 77615 85717 226590 88702 34146 31617 17102 7731 2616 2922781
1947 606990 668821 505847 307474 135698 53834 57766 135147 53157 18573 17037 8690 5900 2574934
1948 450421 348506 458049 344226 213473 75630 35680 31099 70040 19242 8520 6879 6043 2067807
1949 665916 291722 271715 362570 230137 105827 42733 17720 16872 29371 7719 3227 3993 2049522
1950 1015895 419236 230474 189702 208176 113650 58068 22453 9281 6435 12383 2733 2071 2290556
1951 2347123 773957 327375 179788 115908 112274 65150 28940 10566 3057 2126 4563 1124 3971952
1952 2318293 1091750 465902 198834 119413 62588 62093 32384 13644 4253 1058 732 1308 4372253
1953 2408053 1117333 612840 238703 91104 60739 33593 29089 13183 4534 1290 365 434 4611259
1954 868392 1381741 715893 377979 137045 48952 34854 17559 13326 4955 1714 490 232 3603133
1955 378782 578985 923654 444218 226021 75895 30555 18144 7183 4984 1870 651 232 2691174
1956 765497 242064 417332 568498 216225 114428 35974 14658 7098 2345 1860 716 303 2386998
1957 1433137 415409 147417 208817 236229 96143 49044 15634 5774 2331 670 646 367 2611617
1958 910099 719851 253752 96039 101262 108441 41366 23116 6457 1926 757 223 400 2263688
1959 1336878 472404 437061 142131 47194 48242 55263 20432 9286 2330 638 319 277 2572455
1960 1515374 640020 243988 204660 69364 23064 23397 25576 8190 3771 888 261 270 2758823
1961 1564632 727119 358989 132355 102588 36296 11236 12221 9991 2842 1479 383 214 2960344
1962 1222542 822500 408254 176747 64547 49487 15497 4593 4620 3323 940 583 229 2773861
1963 922958 682673 469449 173078 65781 29096 21006 5654 1396 1571 1175 354 320 2374512
1964 469715 420570 356685 174040 55485 22690 10784 7129 1542 378 558 454 267 1520296
1965 878943 248688 265454 199067 82138 24163 8750 3377 2441 470 133 187 277 1714089
1966 1910570 566000 164102 145910 106595 44253 11041 3232 1186 931 197 44 169 2954229
1967 1348408 1320171 392988 104331 80330 55600 20659 4319 1200 496 408 75 84 3329068
1968 182521 1045705 931628 292887 72582 41863 23727 7501 1587 452 213 153 71 2600892
1969 111134 137364 735685 507180 161053 41793 19352 8499 2755 632 209 78 98 1725831
1970 211139 86334 88120 378331 239870 64560 15444 5748 2785 936 276 81 77 1093703
1971 408239 148525 57913 45170 172881 104136 22417 4786 1807 1054 435 112 69 967545
1972 1087470 315498 105889 37376 27173 80943 36926 6763 1616 672 481 188 80 1701076
1973 1669448 785796 213413 64033 21366 15807 32580 10078 1934 536 282 186 117 2815576
1974 572374 1145450 546032 124551 35371 11486 6761 10119 3490 706 222 114 134 2456812
1975 622104 367536 642979 267976 62589 18377 5403 3000 3300 1115 286 75 109 1994848
1976 591809 461308 226360 300525 109866 26383 7456 2279 1270 971 402 94 84 1728808
1977 372322 403024 289361 114427 135637 43943 9002 2596 1013 501 327 142 76 1372370
1978 621631 248304 216160 115602 48491 56039 14325 2356 922 353 198 103 82 1324566
1979 197868 442249 156176 87997 41436 18020 18456 3432 737 203 111 55 63 966804
1980 128605 151486 297470 90142 38674 16442 6656 5036 1031 171 56 33 36 735838
1981 142060 101015 108273 168936 40377 15324 6144 2064 1450 248 52 16 23 585981
1982 183384 122943 81847 62102 80689 15544 4735 1634 673 401 78 16 14 554060
1983 145096 137068 89903 50235 28340 27354 4956 1307 592 244 126 28 11 485259
1984 447181 118456 83918 53132 24022 9937 7350 1316 473 245 98 45 13 746188
1985 541580 394664 85489 46267 24150 6035 2617 1985 431 182 100 41 20 1103562
1986 1506227 408457 244899 48185 20553 7304 1452 851 773 167 77 45 20 2239010
1987 368179 1056819 259109 112832 17486 6916 1767 472 280 265 61 35 19 1824240
1988 335344 243527 575027 120511 35403 5272 1701 572 145 93 85 26 14 1317721
1989 160217 229032 149016 295238 56208 10495 1611 519 159 50 33 32 11 902621
1990 132907 129937 128232 95416 138724 22527 3248 636 165 62 19 13 10 651897
1991 293372 127592 99060 86183 62677 83920 11125 1474 279 66 26 8 6 765789
1992 724353 267016 103566 70588 49697 34629 48143 5765 814 138 26 11 4 1304749
1993 1053301 507628 244785 75077 37770 23917 15773 25252 2955 420 56 12 4 1986953
1994 794345 788893 413826 146799 40165 16101 10841 6307 10814 1261 157 22 4 2229536
1995 556253 516715 550058 236627 61080 12642 5356 3588 2169 3408 414 57 7 1948374
1996 412512 311397 344544 284487 103822 19578 4281 1613 1129 614 1125 139 17 1485260
1997 807781 212764 210161 186299 121723 37662 5989 1581 425 348 198 350 45 1585326
1998 1106974 492906 130946 98127 70022 42610 9059 1652 360 130 100 61 118 1953064
1999 646859 611610 268390 65003 32698 26410 11529 2468 355 104 43 34 63 1665566
2000 784603 415771 378196 122810 24829 11326 7394 2774 594 112 34 17 37 1748498
2001 607336 555621 292246 184149 51769 9045 3434 1980 705 212 36 15 22 1706570
2002 379231 436195 370832 187454 83206 20253 3030 1234 546 266 79 18 14 1482358
2003 794178 294291 289256 233239 83777 30396 6727 1138 430 243 98 43 13 1733828
2004 247242 588932 218426 185233 113188 34184 10979 2539 435 205 106 53 23 1401545
2005 671151 187220 406762 139817 94551 38964 11463 3939 816 187 86 61 34 1555052
2006 507467 444771 141890 228714 68776 34593 13786 3507 1310 349 73 49 48 1445333
2007 1131299 418598 293699 88799 114604 30813 12929 4740 1237 535 136 39 46 2097474
2008 943286 936159 326160 163314 51095 60770 15374 5756 1956 547 199 73 42 2504731
2009 552235 740257 722863 243660 87068 33065 28791 7773 2969 914 221 104 61 2419979
2010 197303 435425 620172 545325 162715 53612 18233 14354 4465 1557 337 113 91 2053702
2011 346208 177687 373011 523256 380098 83798 30544 9874 7589 1821 720 146 115 1934867
2012 489966 270296 146053 311504 397675 215945 43221 15313 4788 3319 866 346 154 1899448
2013 447737 368451 224990 128237 237569 271816 137437 21586 7633 2127 1610 425 316 1849934
2014 865508 346985 295435 182820 102707 171467 147616 63656 10203 3336 1002 820 438 2191993
2015 448837 575481 302788 216062 131380 67232 99344 72997 28710 4814 1474 491 711 1950320
2016 278194 316673 417988 217206 136338 75890 43075 53767 32778 10529 2016 690 636 1585780
2017 755007 234739 232091 288800 145866 81016 40775 23925 21948 12241 4191 874 619 1842094
2018 497403 538868 187346 163125 189072 83815 39484 22091 10716 6708 4256 1639 616 1745138
2019 640744 370812 396526 149987 92269 110424 43825 19716 8860 3557 1971 1424 832 1840946
2020 526991 420355 278984 249470 99944 54491 54949 21351 8352 3076 1124 683 808 1720579
2021 364959 338361 311909 193590 146495 52538 26662 22714 8138 2566 971 343 521 1469768
2022 189589 246697 243557 197529 120236 74760 22547 9878 6476 2235 634 241 234 1114613
2023 235706 143940 163860 140154 108489 60243 32257 8316 2696 1552 388 114 115 897831
2024 618991 179433 106144 97660 80169 49657 28577 10914 2151 607 263 73 45 1174683
2025 374318 399291 125006 62534 53605 40474 22316 9809 3275 628 123 56 26 1091462
2026   274944 303636 89257 38289 29157 19601 8969 2772 1143 124 26 19 900222
Table 3.16. Northeast Arctic COD Stock number-at-age (Thous)

SAM Fri Jun 5 14:14:07 2026

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.4901 0.3038 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1947 0.5438 0.3246 0.2309 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1948 0.4928 0.3048 0.2263 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1949 0.4338 0.2819 0.2209 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1950 0.3164 0.2364 0.2103 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1951 0.7235 0.3943 0.2471 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1952 0.7148 0.3909 0.2463 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1953 0.5367 0.3219 0.2302 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1954 0.3878 0.264 0.2168 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1955 0.4056 0.271 0.2184 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1956 0.5899 0.3425 0.235 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1957 0.7252 0.395 0.2473 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1958 0.5616 0.3315 0.2325 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1959 0.7131 0.3903 0.2462 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1960 0.7036 0.3866 0.2453 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1961 0.6094 0.35 0.2368 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1962 0.5201 0.3154 0.2287 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1963 0.7882 0.4194 0.253 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1964 0.6027 0.3475 0.2362 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1965 0.4164 0.2752 0.2194 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1966 0.3529 0.2505 0.2136 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1967 0.2707 0.2186 0.2062 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1968 0.2242 0.2006 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1969 0.206 0.2 0.2003 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1970 0.2927 0.2272 0.2082 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1971 0.2562 0.213 0.2049 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1972 0.3234 0.2391 0.211 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1973 0.2172 0.2 0.2014 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1974 0.2168 0.2 0.2013 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1975 0.2317 0.2035 0.2027 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1976 0.2238 0.2004 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1977 0.2487 0.2101 0.2042 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1978 0.2342 0.2045 0.2029 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1979 0.2081 0.2 0.2005 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1980 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1981 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1982 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1983 0.2031 0.2 0.2001 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1984 0.201 0.2 0.2117 0.2066 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1985 0.2049 0.2251 0.2014 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1986 0.2763 0.2152 0.2445 0.2293 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1987 0.2578 0.2503 0.2165 0.2618 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1988 0.2224 0.2129 0.2459 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1989 0.2 0.2308 0.2 0.2366 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1990 0.2 0.2 0.2046 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1991 0.2 0.2 0.2 0.2051 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1992 0.2073 0.2 0.2 0.2022 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1993 0.2418 0.2 0.2046 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1994 0.3484 0.2679 0.2218 0.2291 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1995 0.5348 0.3213 0.2437 0.2111 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1996 0.5226 0.3287 0.2516 0.2262 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1997 0.422 0.2671 0.2506 0.2401 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1998 0.4328 0.2776 0.2181 0.2759 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1999 0.2652 0.237 0.243 0.2333 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2000 0.2493 0.2139 0.2481 0.2307 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2001 0.236 0.2249 0.2034 0.2308 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2002 0.2765 0.212 0.205 0.2304 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2003 0.2386 0.2 0.2 0.2196 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2004 0.2501 0.2171 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2005 0.3 0.2133 0.2161 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2006 0.2026 0.2246 0.2 0.2112 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2007 0.2453 0.2 0.2436 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2008 0.2569 0.2115 0.2 0.2313 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2009 0.2728 0.2062 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2010 0.2953 0.2311 0.2035 0.2021 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2011 0.4204 0.3033 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2012 0.3727 0.2934 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2013 0.391 0.2324 0.2027 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2014 0.3674 0.2908 0.2093 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2015 0.3525 0.2586 0.2332 0.2044 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2016 0.2159 0.2511 0.2569 0.2152 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2017 0.3865 0.2169 0.2147 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2018 0.2667 0.2127 0.2 0.221 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2019 0.2898 0.2115 0.2177 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2020 0.4407 0.2294 0.2 0.2104 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2021 0.4227 0.2638 0.2301 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2022 0.2653 0.2214 0.2174 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2023 0.3022 0.2054 0.2187 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2024 0.4017 0.2882 0.2138 0.2124 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2025 0.276 0.2081 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
Table 3.17. Northeast Arctic COD. Natural mortality used in final run

SAM Fri Jun 5 14:14:07 2026

Year RECRUITS TOTALBIO TOTSPBIO LANDINGS YIELD/SSB FBAR 5-10
1946 1118705 3964681 958708 706000 0.7364 0.2419
1947 606990 3519602 985876 882017 0.8947 0.3075
1948 450421 3410480 820536 774295 0.9436 0.3445
1949 665916 2963622 617585 800122 1.2956 0.3706
1950 1015895 2826541 553748 731982 1.3219 0.3809
1951 2347123 3700177 500725 827180 1.652 0.4129
1952 2318293 4121521 493884 876795 1.7753 0.4653
1953 2408053 4053288 409585 695546 1.6982 0.4073
1954 868392 4207159 411405 826021 2.0078 0.432
1955 378782 3585798 333945 1147841 3.4372 0.5163
1956 765497 3403184 287691 1343068 4.6684 0.5754
1957 1433137 2816959 213583 792557 3.7108 0.526
1958 910099 2356640 205277 769313 3.7477 0.5269
1959 1336878 2743552 436850 744607 1.7045 0.5479
1960 1515374 2362539 388901 622042 1.5995 0.5356
1961 1564632 2378197 391163 783221 2.0023 0.6252
1962 1222542 2206140 319379 909266 2.847 0.7347
1963 922958 2041580 219734 776337 3.5331 0.8083
1964 469715 1503825 206135 437695 2.1233 0.6667
1965 878943 1465933 111898 444930 3.9762 0.584
1966 1910570 2252893 123041 483711 3.9313 0.5513
1967 1348408 2778879 129787 572605 4.4119 0.554
1968 182521 3396564 227063 1074084 4.7303 0.6041
1969 111134 2905485 150684 1197226 7.9453 0.7141
1970 211139 2190565 243714 933246 3.8293 0.6996
1971 408239 1661794 331478 689048 2.0787 0.6463
1972 1087470 1629924 354709 565254 1.5936 0.6545
1973 1669448 2299390 337591 792685 2.3481 0.629
1974 572374 2184091 160204 1102433 6.8814 0.6215
1975 622104 2087677 133423 829377 6.2161 0.6614
1976 591809 1929480 166210 867463 5.2191 0.704
1977 372322 1945199 336974 905301 2.6866 0.8081
1978 621631 1596001 230843 698715 3.0268 0.8484
1979 197868 1131975 183127 440538 2.4056 0.7666
1980 128605 851865 110022 380434 3.4578 0.7558
1981 142060 951197 162351 399038 2.4579 0.7749
1982 183384 744006 321003 363730 1.1331 0.7782
1983 145096 736363 306167 289992 0.9472 0.8036
1984 447181 826942 236803 277651 1.1725 0.8609
1985 541580 1020434 194767 307920 1.581 0.8264
1986 1506227 1457876 166145 430113 2.5888 0.863
1987 368179 1280157 117029 523071 4.4696 0.8908
1988 335344 1006851 195795 434939 2.2214 0.8055
1989 160217 951791 239606 332481 1.3876 0.6237
1990 132907 904588 300828 212000 0.7047 0.4295
1991 293372 1357531 645219 319158 0.4947 0.414
1992 724353 1713437 820682 513234 0.6254 0.4839
1993 1053301 2260042 720302 581611 0.8075 0.5843
1994 794345 2202057 584525 771086 1.3192 0.7425
1995 556253 1903453 538696 739999 1.3737 0.7698
1996 412512 1713252 551815 732228 1.3269 0.7958
1997 807781 1563497 547964 762403 1.3913 0.9271
1998 1106974 1382929 385808 592624 1.5361 0.9347
1999 646859 1222929 281546 484910 1.7223 0.9235
2000 784603 1241575 257827 414868 1.6091 0.8391
2001 607336 1494637 383797 426471 1.1112 0.7424
2002 379231 1607876 523968 535045 1.0211 0.6878
2003 794178 1689122 568153 551990 0.9716 0.6467
2004 247242 1575679 660531 606445 0.9181 0.6998
2005 671151 1519888 580180 641276 1.1053 0.7094
2006 507467 1516627 581918 537642 0.9239 0.6119
2007 1131299 1795801 638030 486883 0.7631 0.4624
2008 943286 2461402 696863 464171 0.6661 0.3767
2009 552235 2989109 984028 523430 0.5319 0.3243
2010 197303 3230737 1203887 609983 0.5067 0.3076
2011 346208 3455941 1733390 719830 0.4153 0.3171
2012 489966 3532166 1940936 727663 0.3749 0.3015
2013 447737 3677745 2207102 966209 0.4378 0.3289
2014 865508 3391787 2070400 986449 0.4765 0.3474
2015 448837 3217938 1647624 864384 0.5246 0.3435
2016 278194 2782812 1298178 849422 0.6543 0.3636
2017 755007 2729426 1334847 868276 0.6505 0.3982
2018 497403 2530298 1197991 778627 0.6499 0.4159
2019 640744 2422158 1136354 692609 0.6095 0.4332
2020 526991 2110034 902033 692903 0.7682 0.4885
2021 364959 1886062 762061 767284 1.0069 0.5858
2022 189589 1655893 638202 719211 1.1269 0.6186
2023 235706 1447998 659627 582552 0.8832 0.6195
2024 618991 1260764 500725 453040 0.9048 0.5908
2025 374318 1102429 351746 329468 0.9367 0.548
Arith. Mean 718593 2174980 560787 666091 1.9531 0.5946
Table 3.18. Northeast Arctic COD. Summary table
Table 3.19a. Northeast Arctic COD. Input for the short term prediction
                 
2026                
Age N M Mat PF PM SWT Sel CWT
3 243000 0.276 0 0 0 0.18 0.036 0.558
4 274944 0.208 0.006 0 0 0.475 0.148 1.067
5 303636 0.2 0.017 0 0 0.996 0.389 1.736
6 89257 0.200 0.107 0 0 1.817 0.623 2.499
7 38289 0.2 0.357 0 0 2.675 0.812 3.515
8 29157 0.2 0.634 0 0 3.763 1.026 4.839
9 19601 0.2 0.936 0 0 5.781 1.339 6.091
10 8969 0.2 0.97 0 0 7.493 1.811 7.383
11 2772 0.2 0.977 0 0 8.44 1.793 8.830
12 1143 0.2 1 0 0 10.558 2.376 10.153
13 124 0.2 1 0 0 13.465 2.299 11.238
14 26 0.2 1 0 0 16.135 2.096 12.934
15 19 0.2 1 0 0 17.952 2.096 14.210
                 
2027                
Age N M Mat PF PM SWT Sel CWT
3 240000 0.276 0 0 0 0.204 0.036 0.564
4   0.208 0.005 0 0 0.531 0.148 0.950
5   0.2 0.014 0 0 0.904 0.389 1.635
6   0.200 0.09 0 0 1.751 0.623 2.486
7   0.2 0.339 0 0 2.726 0.812 3.494
8   0.2 0.641 0 0 3.763 1.026 4.829
9   0.2 0.902 0 0 5.416 1.339 6.256
10   0.2 0.966 0 0 7.196 1.811 7.523
11   0.2 0.992 0 0 8.887 1.793 8.972
12   0.2 1 0 0 10.495 2.376 10.123
13   0.2 1 0 0 12.691 2.299 11.577
14   0.2 1 0 0 15.687 2.096 12.649
15   0.2 1 0 0 18.397 2.096 14.320
                 
2028                
Age N M Mat PF PM SWT Sel CWT
3 349000 0.276 0.000 0 0 0.203 0.036 0.564
4   0.208 0.005 0 0 0.555 0.148 0.950
5   0.200 0.014 0 0 0.96 0.389 1.635
6   0.200 0.090 0 0 1.659 0.623 2.486
7   0.2 0.339 0 0 2.66 0.812 3.494
8   0.2 0.641 0 0 3.814 1.026 4.829
9   0.2 0.902 0 0 5.416 1.339 6.256
10   0.2 0.966 0 0 6.831 1.811 7.523
11   0.2 0.992 0 0 8.59 1.793 8.972
12   0.2 1 0 0 10.942 2.376 10.123
13   0.2 1 0 0 12.628 2.299 11.577
14   0.2 1 0 0 14.913 2.096 12.649
15   0.2 1 0 0 17.949 2.096 14.320
Table 3.19b. Northeast Arctic COD. Input for the short term prediction using RCT3  
Yearclass recruitment BST1 BST2 BST3 BSA1 BSA2 BSA3 ECO0 (shifted) ECO1 (shifted) ECO2 (shifted)
1982 528 NA NA NA NA NA NA NA NA NA
1983 1369 NA NA NA NA NA NA NA NA NA
1984 356 NA NA NA NA NA NA NA NA NA
1985 333 NA NA NA NA NA NA NA NA NA
1986 158 NA NA NA NA NA NA NA NA NA
1987 133 NA NA NA NA NA NA NA NA NA
1988 300 NA NA NA NA NA NA NA NA NA
1989 714 NA NA NA NA NA NA NA NA NA
1990 989 NA NA NA NA NA NA NA NA NA
1991 749 NA NA 294 NA NA 324 NA NA NA
1992 537 NA 557 283 NA 624 138 NA NA NA
1993 400 1044 541 163 903 212 99 NA NA NA
1994 774 5356 792 318 2175 272 159 NA NA NA
1995 1042 5899 1423 355 1826 565 391 NA NA NA
1996 623 5044 496 188 1698 475 148 NA NA NA
1997 746 2491 350 246 2524 232 295 NA NA NA
1998 589 473 242 183 365 263 177 NA NA NA
1999 374 129 78 118 153 51 61 NA NA NA
2000 758 713 419 377 364 209 307 NA NA NA
2001 243 34 66 64 19 53 33 NA NA 330
2002 694 3022 243 249 1505 117 125 NA 331 147
2003 539 323 217 116 161 139 65 543 441 510
2004 1254 853 289 361 500 158 58 180 479 505
2005 1016 674 370 194 411 47 200 276 333 373
2006 591 595 102 126 85 94 108 101 131 94
2007 206 69 36 37 51 25 23 483 570 84
2008 364 389 95 85 205 44 40 903 310 160
2009 509 1028 226 76 620 91 83 653 510 256
2010 468 617 100 69 266 40 61 2083 1454 659
2011 850 703 143 227 496 89 287 1413 914 NA
2012 448 436 191 144 313 211 139 2282 NA 184
2013 283 1246 343 99 1759 211 56 NA 339 154
2014 757 1642 306 179 1904 202 112 2445 725 341
2015 483 312 129 139 241 73 109 351 351 NA
2016 617 645 501 282 439 280 204 1165 NA 414
2017 526 2714 559 238 2058 362 117 NA 2100 475
2018 367 1791 274 112 1437 158 65 1841 560 106
2019 186 165 35 52 93 29 29 313 63 NA
2020 241 81 66 41 46 43 29 116 NA 40
2021 632 668 163 199 525 103 151 NA 218 275
2022 NA 305 307 154 244 201 130 399 322 237
2023 NA 378 119 43 328 106 25 360 226 109
2024 NA 165 45 NA 199 32 NA 301 155 NA
2025 NA 225 NA NA 293 NA NA 601 NA NA
   prediction RCT3 SPALY *   RCT3 8** RCT3_short***
WAP log WAP int.se WAP log WAP int.se WAP log WAP int.se
yearclass:2018 456 6 . 122 0 . 21 489 6 . 193 0 . 22 398 5 . 988 0 . 23
yearclass:2019 229 5 . 436 0 . 24 234 5 . 457 0 . 24 270 5 . 600 0 . 25
yearclass:2020 186 5 . 224 0 . 22 197 5 . 281 0 . 22 205 5 . 323 0 . 23
yearclass:2021 561 6 . 330 0 . 17 589 6 . 378 0 . 19 614 6 . 419 0 . 19
yearclass:2022 524 6 . 262 0 . 16 538 6 . 287 0.17 539 6 . 290 0 . 17
yearclass:2023 243 5 . 492 0 . 17 232 5 . 448 0 . 19 225 5 . 414 0 . 19
yearclass:2024 240 5 . 480 0 . 29 246 5 . 504 0.31      
yearclass:2025 349 5.855 0.37 349 5.855 0.37      
                   
Table 3.19c. Results of RCT3 prediction of NEA cod recruitment (in million individuals of age 3).

*same survey indices as in the last year (BST1 + BST2 + BST3 + BSA1 + BSA2 + BSA3)

**recruitment ~ BST1 + BST2 + BST3 + BSA1 + BSA2 + BSA3+ ECO1 + ECO2

*** recruitment ~ BST3 + BSA3

NEA cod recruitment at age 3      
Year 2026 202 7 202 8 202 9
Yearclass 202 3 202 4 2025  
Cod in Forest* 471 403 522 334
SAM 132      
RCT3 SPALY 232 246 3 49  
RCT3 8 243 240 349  
RCT3 _short 225      
Table 3.19 d. Results of various recruitment models (million individuals age 3). Values used in the predictions are shown in bold (RCT3 notations are shown in T able 3.19 c)

* -WD 5

Table 3.20. Northeast Arctic COD. Management option table.
 
2026        
Biomass (t) SSB (t) FMult FBar Landings (t)  
1069493 338010 1 0.371 285000  
           
           
2027       2028  
Biomass SSB FBar Landings Biomass SSB
1169133 345518 0.00 0 1564900 603750
    0.05 50786 1514721 572658
    0.10 99223 1467002 543483
    0.15 145453 1421588 516091
    0.20 189608 1378338 490354
    0.25 231810 1337119 466157
    0.30 272172 1297807 443393
    0.35 310800 1260290 421962
    0.40 347793 1224461 401774
    0.45 383241 1190223 382744
    0.50 417229 1157484 364795
    0.55 449838 1126158 347855
    0.60 481141 1096168 331858
    0.65 511207 1067440 316741
    0.70 540101 1039904 302449
    0.75 567884 1013496 288927
    0.80 594612 988157 276128
    0.85 620338 963830 264005
    0.90 645112 940464 252518
    0.95 668981 918008 241626
    1.00 691988 896418 231293
Tonnes Tonnes   Tonnes Tonnes Tonnes
Fbar age            
range: 5-10            
Year: 202 6            
F multiplier: 1          
Fbar: 0.3707            
               
Age F CatchNos Yield StockNos Biomass SSNos SSB
3 0.013 2816 1571 243000 43740 0 0
4 0.055 13265 14154 274944 130598 1650 784
5 0.144 37045 64310 303636 302421 5162 5141
6 0.231 16747 41851 89257 162180 9550 17353
7 0.301 9066 31866 38289 102423 13669 36565
8 0.380 8414 40713 29157 109718 18486 69561
9 0.496 7008 42688 19601 113313 18347 106061
10 0.671 4019 29673 8969 67205 8700 65189
11 0.665 1233 10891 2772 23396 2708 22858
12 0.881 615 6248 1143 12068 1143 12068
13 0.852 65 735 124 1670 124 1670
14 0.777 13 167 26 420 26 420
15+ 0.777 9 134 19 341 19 341
Total NA 100316 285000 1010937 1069493 79583 338010
    Thous Tonnes Thous Tonnes Thous Tonnes
Fbar age            
range: 5-10            
Year: 202 7            
F multiplier: 0.95          
Fbar: 0.3525            
               
Age F CatchNos Yield StockNos Biomass SSNos SSB  
3 0.013 2645 1492 240000 48960 0 0  
4 0.052 8357 7939 181947 96614 910 483  
5 0.137 24604 40228 211390 191096 2959 2675  
6 0.220 38597 95951 215212 376837 19369 33915  
7 0.286 13148 45939 58007 158128 19664 53605  
8 0.362 6419 30999 23200 87301 14871 55960  
9 0.472 5608 35086 16319 88385 14720 79724  
10 0.638 4222 31760 9769 70297 9437 67907  
11 0.632 1610 14445 3753 33349 3722 33082  
12 0.837 609 6160 1168 12253 1168 12253  
13 0.810 198 2290 388 4922 388 4922  
14 0.739 21 262 43 679 43 679  
15+ 0.739 8 116 17 312 17 312  
Total NA 106046 312667 961213 1169133 87269 345518  
    Thous Tonnes Thous Tonnes Thous Tonnes  
               
               
               
Table 3.21. Northeast Arctic COD. Detailed prediction output assuming TAC constrained catch in 2026 and HCR in 2027
Year B(3+) SSB R(3) F(5-10)
1984 825823.6 254757.2 418024.6 0.775768
1985 987268.2 200507.9 554474.7 0.636755
1986 1357022 180445.6 1081923 0.787412
1987 1205235 131241.7 287456.1 1.031337
1988 982216.8 216756 215188.8 0.981547
1989 917986.4 241735.2 172453.2 0.469323
1990 986280 331603.4 226554.5 0.312283
1991 1571481 727445.9 403198.3 0.226568
1992 1945374 943122.9 699606 0.404027
1993 2397449 832558.2 901165.8 0.605103
1994 2177955 645654.2 700922 0.803527
1995 1837904 557218.3 477530.7 0.747565
1996 1742526 604535 382152.7 0.717818
1997 1626071 650490.5 637688.9 1.042215
1998 1292535 425845.4 785891 1.065035
1999 1102105 288388.1 480117 0.916143
2000 1083621 247310.6 560999 0.643958
2001 1331597 372693 479060.9 0.51656
2002 1467950 504133.2 417799.8 0.506833
2003 1567616 542436.1 664604.4 0.505588
2004 1510728 636614.5 271775.8 0.597617
2005 1474783 575082.9 525208 0.602082
2006 1497056 592639 524961.9 0.626207
2007 1788392 630775.8 1247344 0.49029
2008 2506980 683427.7 1219446 0.349802
2009 3141497 972746.8 819976 0.334
2010 3402331 1158629 468386.1 0.36612
2011 3577832 1634651 580466.7 0.318827
2012 3681970 1871738 655782.2 0.287215
2013 3795761 2077920 775012.5 0.294628
2014 3514723 1975821 970965.6 0.324807
2015 3317549 1569107 480036.6 0.357403
2016 2939773 1269297 380298.8 0.339452
2017 2956634 1399110 770931.8 0.42729
2018 2716742 1271197 618500.5 0.497187
2019 2546291 1166653 643780.4 0.451052
2020 2277399 920495.1 524680.1 0.488317
2021 2101609 814447.4 338717.7 0.5922
2022 1818732 698795.3 201690.3 0.731155
2023 1591100 741093.6 296598.7 0.619385
2024 1342211 586567 443314.4 0.477888
2025 1134345 451837.9 224248.9 0.372207
2026   469622.2    
Table 3.22. Northeast Arctic COD. Assessments results by means of TISVPA
Table 3.23. NEA cod TISVPA estimates of abundance at age (thousands)
  3 4 5 6 7 8 9 10 11 12 13 14 15
1984 418025 134272 77030 45218 23962 12562 9005 1429 625 402 180 31 21
1985 554475 335291 96865 45028 19562 6730 3335 2365 457 323 153 96 24
1986 1081923 433179 230004 55500 20719 6833 2190 1297 1088 223 224 91 38
1987 287456 802716 289982 113953 22414 7052 2099 746 402 374 69 140 47
1988 215189 212363 521775 144568 35607 6006 2089 725 157 130 104 34 12
1989 172453 164730 150280 285217 60582 9623 1617 590 160 33 42 47 68
1990 226554 137270 116663 94980 154918 25770 3444 642 246 90 16 31 12
1991 403198 183802 105711 82620 61241 97682 14621 2023 364 148 58 8 16
1992 699606 326194 141706 73279 50823 34556 58691 8592 1264 247 107 45 5
1993 901166 552651 238517 93259 40342 25718 16426 31063 4466 738 129 80 4
1994 700922 699582 412064 142004 47805 18827 11279 6829 13164 1825 275 57 12
1995 477531 489199 486179 244062 62568 13637 6020 3353 1968 4003 538 125 3
1996 382153 276870 321322 286212 115503 23013 4708 2006 1025 540 1454 254 3
1997 637689 220512 176689 183665 139361 46641 8497 1859 678 348 196 561 2
1998 785891 407651 138487 83747 73224 46909 12042 1990 415 137 65 52 125
1999 480117 489303 241173 68157 30698 25533 11947 3338 467 120 33 20 76
2000 560999 361678 320636 113143 25789 10920 6831 2387 968 147 48 3 46
2001 479061 432659 262738 171514 49682 9679 3577 1855 639 457 56 28 89
2002 417800 373683 316329 162164 81606 20994 3481 1474 611 242 271 38 26
2003 664604 313881 275889 194511 75747 31325 7646 1321 728 298 100 191 4
2004 271776 516744 238311 172447 98270 32141 12861 3538 608 436 155 62 31
2005 525208 209520 381616 151220 84521 37961 11298 4637 1314 232 231 92 27
2006 524962 384973 152592 215771 73473 32701 13446 3959 1566 536 96 159 548
2007 1247344 420967 267521 95037 106144 32278 12699 4544 1524 532 224 55 147
2008 1219446 955177 308096 157046 54140 54069 15971 6353 2225 743 190 141 71
2009 819976 934405 724433 214692 93212 31440 26514 8326 3498 1160 400 119 113
2010 468386 619603 722180 514113 133915 55991 17903 13792 4901 2020 247 260 186
2011 580467 346195 473021 529700 341548 75729 29885 10053 7216 1733 916 69 0
2012 655782 378664 246264 353346 363384 208515 42430 14596 4267 3277 915 430 148
2013 775012 447273 271593 185197 248755 231954 124345 23622 7464 1969 1724 507 825
2014 970966 521344 340807 199666 130758 154525 126572 62019 11548 3606 1023 1044 781
2015 480037 667161 371456 240100 130316 80182 79449 63338 30361 5955 1863 584 1107
2016 380299 333382 485964 254999 148703 75769 45120 42923 30221 11652 2665 1113 1377
2017 770932 304341 247913 326705 163425 87944 41165 24248 18794 12140 5360 1470 1050
2018 618500 517520 232192 172136 201537 89411 44508 19944 11188 5989 4648 2783 898
2019 643780 467787 391679 163006 104605 108646 44451 20678 8000 3637 1950 1998 1140
2020 524680 477178 358947 270128 104216 59373 51819 20547 8963 2893 1338 998 895
2021 338718 334156 357873 255690 166501 56288 28736 21241 7065 2548 1085 614 927
2022 201690 219379 239037 233664 151910 80074 24965 10467 5880 1811 683 365 238
2023 296599 150642 154930 144066 126745 75126 32293 9033 2939 1363 310 135 227
2024 443314 209236 107517 94870 80817 65126 34029 11583 2549 761 313 101 37
2025 224249 286933 135576 65863 52122 40708 32048 15533 4661 1100 367 162 52
2026 0 168019 217865 93235 40458 28984 21307 16587 7880 2401 581 230 102

 


 

Table 3.24. NEA cod TISVPA estimates of fishing mortality coefficients

Year

3

4

5

6

7

8

9

10

11

12

13

14

15

1984

0.0225

0.13152

0.31767

0.54319

0.93673

0.95184

0.95416

0.95102

0.3238

1.05789

0.5572

0.5572

0.5572

1985

0.02093

0.11968

0.30438

0.45317

0.61995

0.88367

0.7706

0.78876

0.72037

0.25751

0.45662

0.45662

0.45662

1986

0.02081

0.14815

0.37839

0.61778

0.74848

0.87896

1.11922

0.98171

0.91322

0.80461

0.53207

0.53207

0.53207

1987

0.02567

0.14802

0.48848

0.81171

1.1614

1.12231

1.54934

1.16977

1.04326

0.62839

0.62859

0.62859

0.62859

1988

0.02449

0.13978

0.39774

0.86644

1.15985

1.28624

1.0694

1.10961

1.3399

1.00404

0.5952

0.5952

0.5952

1989

0.01367

0.08686

0.23303

0.35387

0.56807

0.59655

0.56136

0.50306

0.47872

0.52922

0.30258

0.30258

0.30258

1990

0.00841

0.05703

0.15398

0.25386

0.30744

0.41077

0.38084

0.36681

0.30985

0.28971

0.19904

0.19904

0.19904

1991

0.0067

0.03763

0.1083

0.1817

0.24196

0.25111

0.29614

0.2802

0.25282

0.21091

0.14464

0.14464

0.14464

1992

0.00991

0.06662

0.16209

0.30314

0.4285

0.50182

0.46163

0.56698

0.49272

0.42904

0.24832

0.24832

0.24832

1993

0.01467

0.08436

0.25105

0.39173

0.62807

0.78531

0.81777

0.75669

0.88135

0.72683

0.36423

0.36423

0.36423

1994

0.01701

0.10966

0.27746

0.54142

0.69826

1.00219

1.10736

1.09447

0.9798

1.12764

0.45956

0.45956

0.45956

1995

0.01635

0.10337

0.29307

0.46621

0.75376

0.83414

1.1013

1.14712

1.10859

0.88879

0.45124

0.45124

0.45124

1996

0.0204

0.09962

0.28197

0.51024

0.69698

0.61631

0.85025

1.08884

1.11445

1.03877

0.45598

0.45598

0.45598

1997

0.02627

0.16592

0.35886

0.67586

1.07279

1.1891

1.3414

1.42254

1.7649

1.72784

0.63347

0.63347

0.63347

1998

0.02933

0.1667

0.47857

0.63798

1.00164

1.35346

1.24138

1.67718

1.35397

1.5831

0.63568

0.63568

0.63568

1999

0.02036

0.1725

0.4362

0.79979

0.82593

1.07907

1.20968

1.14619

1.3013

1.07372

0.57353

0.57353

0.57353

2000

0.01839

0.11339

0.35661

0.5461

0.77571

0.65826

0.72059

0.80648

0.7081

0.76943

0.40495

0.40495

0.40495

2001

0.0139

0.09286

0.23575

0.48696

0.58933

0.69276

0.61934

0.57522

0.58807

0.51045

0.32061

0.32061

0.32061

2002

0.01247

0.08029

0.23339

0.37103

0.62307

0.64131

0.65807

0.50461

0.51168

0.51441

0.3004

0.3004

0.3004

2003

0.01339

0.07282

0.20288

0.37721

0.48117

0.70188

0.62221

0.6504

0.64629

0.46217

0.28616

0.28616

0.28616

2004

0.01433

0.06408

0.22206

0.39653

0.61112

0.67479

0.88851

0.79269

0.76087

0.51915

0.33459

0.33459

0.33459

2005

0.01567

0.08939

0.25703

0.37988

0.55824

0.74025

0.71142

0.96567

0.78284

0.73047

0.34146

0.34146

0.34146

2006

0.01655

0.1046

0.26069

0.48197

0.5782

0.74333

0.85982

0.84223

1.05832

0.82446

0.37516

0.37516

0.37516

2007

0.01368

0.08492

0.2319

0.35767

0.53207

0.53554

0.58966

0.6949

0.6276

0.74338

0.30479

0.30479

0.30479

2008

0.00919

0.06536

0.17031

0.2881

0.35586

0.44569

0.39713

0.44172

0.47569

0.42399

0.2277

0.2277

0.2277

2009

0.0083

0.05307

0.158

0.26616

0.36753

0.38842

0.43192

0.39177

0.40492

0.42507

0.21662

0.21662

0.21662

2010

0.00791

0.05355

0.14737

0.27911

0.38674

0.46119

0.43204

0.49017

0.41194

0.41588

0.23329

0.23329

0.23329

2011

0.00766

0.04316

0.12632

0.21825

0.33833

0.4016

0.42955

0.40452

0.4254

0.35123

0.21176

0.21176

0.21176

2012

0.0077

0.04333

0.10508

0.19173

0.27096

0.36257

0.38245

0.4105

0.3648

0.37435

0.19823

0.19823

0.19823

2013

0.00817

0.05018

0.12062

0.184

0.27711

0.33904

0.40779

0.43831

0.43769

0.37934

0.21589

0.21589

0.21589

2014

0.00952

0.05658

0.14969

0.22687

0.28392

0.37332

0.41014

0.5049

0.50438

0.49125

0.25141

0.25141

0.25141

2015

0.00994

0.06599

0.16932

0.28438

0.35318

0.38147

0.45026

0.50581

0.58173

0.5662

0.29258

0.29258

0.29258

2016

0.01055

0.05861

0.16775

0.27028

0.37089

0.39458

0.37857

0.45464

0.47352

0.5295

0.28395

0.28395

0.28395

2017

0.01116

0.06578

0.18799

0.34581

0.46071

0.5495

0.51631

0.50322

0.56959

0.57577

0.35658

0.35658

0.35658

2018

0.01101

0.07543

0.19325

0.35301

0.54088

0.61936

0.65302

0.6236

0.56608

0.61578

0.40589

0.40589

0.40589

2019

0.01011

0.06242

0.18548

0.2963

0.4422

0.57846

0.58047

0.6232

0.55013

0.48389

0.37401

0.37401

0.37401

2020

0.0121

0.06758

0.18046

0.34315

0.44984

0.5832

0.67861

0.69464

0.68767

0.58884

0.42027

0.42027

0.42027

2021

0.0166

0.08877

0.21542

0.36801

0.59055

0.66713

0.77338

0.93871

0.87588

0.84026

0.52778

0.52778

0.52778

2022

0.02881

0.12548

0.29514

0.45667

0.65309

0.93647

0.92104

1.12452

1.27213

1.129

0.68757

0.68757

0.68757

2023

0.03953

0.16758

0.31346

0.45677

0.56755

0.69489

0.84425

0.84939

0.92978

1.00249

0.61102

0.61102

0.61102

2024

0.01721

0.20051

0.36211

0.40518

0.46805

0.48842

0.51286

0.63071

0.5848

0.61511

0.60565

0.60565

0.60565

2025

0.01098

0.06667

0.17441

0.28731

0.38685

0.44741

0.45862

0.47864

0.46341

0.43806

0.26412

0.26412

0.26412

 


Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes).

 

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.2a. Standardized one-observation-ahead residuals for log-catches and log-indices (Thygesen et al . 2017) in the final SAM run

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.2b. NEA cod SSB, R and F bar model retrospective pattern for final SAM run.

 

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.2c. Cod in ICES subareas 1 and 2 (Northeast Arctic). Historical assessment results. There was a benchmark revision in 2021. The shaded areas indicate the 95% confidence intervals for the 2026 assessment.

 

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.2d. NEA cod final SAM run fit. Total catch in weight. Modelled catches from the final run and point wise 95% confidence intervals are shown by line and shaded area. The yearly observed total catch weight (crosses) are calculated as Catch(y)=sum(W(a,y)*C(a,y)).

 

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.2e. NEA cod. Catchability of different fleets used for final SAM run fit.

 

 

Figure 3.1. Cod in ICES subareas 1 and 2 (Northeast Arctic). Catch, recruitment, F, SSB and TSB (total stock biomass, age 3+) with 95 % confidence levels. The biomass reference points relate to SSB. For this stock, Fmgt ranges from 0.40 to 0.60, and there are three SSBmgt values (460 000, 920 000 and 1 380 000 tonnes)
Figure 3.3. NEA cod cannibalism mortality vs. capelin abundance.

 

 

Figure 3.4a. Northeast Arctic cod. Average CPUE of the NEA cod Russian trawl fishery for the 9 main vessel types and standardized CPUE by the GLM method for the period 1980-2025 compared to the cod total stock biomass (TSB) estimated by JRN-AFWG 2026 (WD 1, 2025, updated).
Figure 3.4a. Northeast Arctic cod. Average CPUE of the NEA cod Russian trawl fishery for the 9 main vessel types and standardized CPUE by the GLM method for the period 1980-2025 compared to the cod total stock biomass (TSB) estimated by JRN-AFWG 2026 (WD 1, 2025, updated).

 

 

Figure 3.4b. Cod CPUE in Norwegian trawl catches where cod is the main species (double and single trawl, WD2). Connected line shows mean, line inside box shows the median, and the box shows 25 and 75 percentiles.
Figure 3.4b. Cod CPUE in Norwegian trawl catches where cod is the main species (double and single trawl, WD2). Connected line shows mean, line inside box shows the median, and the box shows 25 and 75 percentiles.

 

Figure 3.5. Northeast Arctic cod. Catches of cod at length less than 35 cm (no/nm 2 ) during the Joint Barents Sea winter survey in 2025 and 2026 . Figure 3.5. Northeast Arctic cod. Catches of cod at length less than 35 cm (no/nm 2 ) during the Joint Barents Sea winter survey in 2025 and 2026 .

 Figure 3.5. Northeast Arctic cod. Catches of cod at length less than 35 cm (no/nm 2 ) during the Joint Barents Sea winter survey in 2025 and 2026 .

Figure 3.5. Northeast Arctic cod. Catches of cod at length less than 35 cm (no/nm 2 ) during the Joint Barents Sea winter survey in 2025 and 2026 .
Figure 3.5. Northeast Arctic cod. Catches of cod at length less than 35 cm (no/nm 2 ) during the Joint Barents Sea winter survey in 2025 and 2026 .

 

Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative) Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative)

Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative) Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative)

Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative)

Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative)
Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative).

 

 

Figure 3.6b. Profiles of the components of the TISVPA objective function.
Figure 3.6b. Profiles of the components of the TISVPA objective function.

 

 

Figure 3.6c. TISVPA retrospective runs.
Figure 3.6c. TISVPA retrospective runs.

 

 

Figure 3.7. Model comparison. TSB (total stock biomass, age 3+), SSB recruitment and F in SAM and TISVPA.
Figure 3.7. Model comparison. TSB (total stock biomass, age 3+), SSB recruitment and F in SAM and TISVPA.

 

 

Figure 3.8. Medium term prediction of NEA cod stock dynamics and TAC according to HCR based on assessments of current year and previous year.
Figure 3.8. Medium term prediction of NEA cod stock dynamics and TAC according to HCR based on assessments of current year and previous year.

 

 

Figure 3.9. Historical retro of medium term predictions of NEA cod stock dynamics and TAC according to HCR based on assessments of current year and previous year (combined on predictions made by 2021-2026 WGs)
Figure 3.9. Historical retro of medium term predictions of NEA cod stock dynamics and TAC according to HCR based on assessments of current year and previous year (combined on predictions made by 2021-2026 WGs)

 

Year Norway Single trawl Norway double trawl Russian 2 trawl fishery for 9 main vessel types 4
1980     0.68
1981 1.21   0.82
198 2 1.09   0.59
1983 1.11   0.51
1984 0.96   0.51
1985 1.29   1.28
1986 1.70   1.30
1987 1.77   1.17
1988 1.03   0.88
1989 0.76   0.86
1990 0.49   0.99
1991 0.44   1.22
1992 1.29   1.12
1993 1.87   1.40
1994 1.59   1.39
1995 1.92   1.20
1996 1.81   1.17
1997 1.36   0.87
1998 0.83   0.57
1999 0.74   0.50
2000 0.92   0.60
2001 1.21   0.72
2002 1.35   0.84
2003 1.67   0.98
2004 1.67   0.72
2005 1.23   0.58
2006 0.88   0.61
2007 1.16   0.73
200 8     1.00
2009     1.40
2010     1.75
2011 4.87 3 3.43 2.27
2012 6.97 3 4.21 2.16
201 3 4.96 3 4.21 1.96
201 4 5.75 3 4.47 2.20
2015 4.54 3 2.62 1.50
2016 3.64 3 2.90 1.35
201 7 3.01 3 2.53 1.31
2018 3.20 3 2.57 1.34
2019 3.02 3 2.44 1.33
2020 3.38 3 2.56 1.18
2021 2.51 3 1.93 1.04
2022 2.04 3 1.87 0.89
2023 1.66 3 1.78 0.74
2024 1.92 3 1.86 0.65
2025 1 3.21 4,6 1.99 0.85
Table A1. North-East Arctic COD. Catch per unit effort. For data prior to 1981, see the JRN-AFWG 2023 report.

1 Preliminary figures.

2 USSR prior to 1991.

3 2011-2024 Norwegian data on t per hour fishing are not comparable to data from previous yearspanish

4 standardized by GLM method (WD1, 2025)


        Age                              
Year   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15+ 10+ Total 12+
1981   8.00 82.00 40.00 63.00 106.00 103.00 16.00 3.00 1.00             1.00 423.0  
1982   4.00 5.00 49.00 43.00 40.00 26.00 28.00 2.00 +             0.00 197.0  
1983   60.49 2.78 5.34 14.27 17.37 11.13 5.58 2.98 0.45             0.06 120.5  
1984   745.44 146.11 39.13 13.59 11.26 7.44 2.81 0.19 0.02             0.00 966.0  
1985   69.06 446.29 153.04 141.59 19.66 7.58 3.32 0.22 0.09             0.04 840.9  
1986   353.63 243.90 499.61 134.27 65.90 8.28 2.15 0.37 0.06             0.02 1308.2  
1987   1.62 34.07 62.80 204.93 41.41 10.40 1.22 0.19 0.66             0.00 357.3  
1988   1.98 26.25 50.42 35.53 56.20 6.48 1.35 0.15 0.01             0.00 178.4  
1989   7.53 7.98 17.00 34.39 21.38 53.82 6.88 0.97 0.10             0.05 150.1  
1990   81.13 24.92 14.82 20.63 26.08 24.30 39.78 2.37 0.06             0.03 234.1  
1991   181.04 219.51 50.23 34.64 29.33 28.87 16.89 17.33 0.86             0.03 578.7  
1992   241.38 562.13 176.48 65.79 18.84 13.23 7.58 4.50 2.78             0.21 1092.9  
1993   1074.04 494.68 357.24 191.05 108.24 20.84 8.12 4.98 2.25             2.51 2264.0  
1994   902.64 624.38 323.88 374.47 205.53 70.24 13 3.59 2.6 0.71 1.15 0.11 0.13 NA 0   2522.4 0.24
1995   2175.25 212.29 137.74 139.49 197.08 66.38 15.73 2.43 0.91 0.32 0.48 0.17 NA NA 0   2948.3 0.17
1996   1826.33 271.71 99.4 89.62 111.34 82.96 22.17 2.22 0.3 0.1 0.07 0.05 0.1 0.01 0   2506.4 0.16
1997   1698.49 565.31 158.57 44.22 49.91 40.91 23.48 5.02 0.84 0.27 0.09 NA NA 0.01 0   2587.1 0.01
1998   2523.56 475.15 391.16 189.79 44.87 41.22 27.85 16.06 1.81 0.5 0.04 NA NA NA 0.06   3712.1 0.06
1999   364.84 231.51 147.62 130.29 52.03 11.93 6.94 4.13 1.47 0.24 0.01 0.03 0.01 NA 0   951.1 0.04
2000   153.42 262.81 294.83 167.25 145.55 50.75 11.33 4.7 2.75 0.85 0.18 0.11 0.03 NA 0   1094.6 0.14
2001   363.55 51.45 177.44 160.63 80.8 44.47 11.1 1.73 0.46 0.19 0.08 NA NA NA 0.01   891.9 0.01
2002   19.22 209.1 61.37 106.23 98.78 52.18 20.07 2.9 0.32 0.52 0.09 NA NA NA 0.02   570.8 0.02
2003   1505 52.53 306.71 116.8 124.62 116.52 37.69 10.05 1.93 0.31 0.07 NA 0.08 0.07 0   2272.4 0.15
2004   161.2 117.19 33.41 85.21 32.96 28.03 18.14 5.33 1.16 0.31 0.08 0 0.01 NA 0   483.0 0.01
2005   499.71 138.66 125.03 33.28 65.94 21.21 15.02 4.95 1.01 0.25 0.05 0.07 0.05 0.03 0   905.3 0.15
2006   411.21 157.95 64.77 53.82 18.35 29.52 9.5 4.9 1.28 0.2 0.13 0.3 NA NA 0   751.9 0.3
2007   85.13 47.09 58.49 30.4 29.35 9.04 18.07 6.41 2.67 0.53 0.24 0.07 NA NA 0   287.5 0.07
2008   50.87 94.2 199.85 288.71 116.17 72.91 21.82 14.43 2.8 0.81 0.04 0.01 0.01 NA 0   862.6 0.02
2009   204.9 25.46 107.83 182.54 138.08 41.48 13.87 4.69 4.32 0.5 0.14 0.02 0.01 NA 0   723.8 0.03
2010   620.25 43.56 22.82 87.98 160.16 154.39 44.56 14.57 3.9 2.89 0.94 0.11 0.12 0.09 0.01   1156.4 0.33
2011   266 91 40.36 28.32 65.2 106.97 101.8 19.76 6.11 1.7 0.92 0.25 0.15 0.09 0.02   728.7 0.51
2012   496.49 40.23 82.79 49.38 33.77 72.53 132.31 65.59 8.37 4.39 1.21 0.66 0.47 0.04 0.1   988.3 1.27
2013   313.11 89.17 60.55 84.49 72.18 47.75 98.41 130.54 55.32 5.41 4.02 1.3 0.73 0.2 0.07   963.3 2.3
2014   1758.58 211.04 286.89 124.18 111.14 74.47 39.41 89.89 61.31 22.64 2.56 1.31 0.16 0.05 0.19   2783.8 1.71
2015   1903.54 211.41 138.71 235.58 128.8 140.36 80.55 35.07 53.8 24.38 7.91 0.8 0.13 0.05 0.01   2961.1 0.99
2016   240.8 201.89 56.29 76.91 119.38 64.84 50.17 25.8 13.49 17.83 7.35 2.15 0.72 0.22 0.1   877.9 3.19
2017   439.4 73.3 111.54 42.35 44.25 65.3 35.75 24.31 11.97 4 2.88 3.15 0.67 0.19 0.11   859.2 4.12
2018   2057.6 280.29 109.03 149.94 53.4 54.93 66.09 34.35 10.78 6.27 1.73 2.25 1.5 0.15 0.23   2828.5 4.13
2019   1437.21 362.38 203.63 125.42 144.06 60.98 34.99 37.86 9.64 3.47 0.55 0.32 0.18 0.28 0.24   2421.2 1.02
2020   92.68 157.92 117.32 117.32 81.36 90.6 42.35 26.57 21.41 6.23 1.75 0.67 0.66 0.51 0.89   758.2 2.73
2021   45.92 28.51 64.86 59.08 55.48 38.54 30.80 12.41 6.32 4.67 2.17 0.29 0.18 0 0.21   349.4 0.68
2022   524.71 43.42 29.42 52.98 56.69 47.05 42.94 27.77 7.85 2.44 1.51 0.94 0.18 0 0.28   838.2 1.40
2023   244.43 103.24 28.66 26.54 33.54 33.83 23.81 12.62 7.08 1.58 0.33 0.11 0.04 0.00 0.08   515.9 0.23
2024   328.44 200.98 150.72 50.97 29.34 27.31 28.25 18.83 11.29 3.82 0.43 0.12 0.02 0.05 0.01   850.6 0.20
2025   198.95 106.07 130.40 153.29 54.85 27.37 23.40 19.65 8.96 3.39 0.92 0.33 0.09 0.01 0.01   727.8 0.44
2026   293.13 32.38 25.34 69.06 92.23 39.73 20.8 15.51 10.46 4.39 1.45 0.44 0.01 0 0.01   604.93 0.46
Table A2. North-east Arctic COD. Abundance indices (millions) from the Norwegian acoustic survey in the Barents Sea in January-March. New TS and rock-hopper gear (1981-1988 back-calculated from bobbins gear). Corrected for length-dependent effective spread of trawl. Data from 1994 onwards corrected for three northern are as and the method of filling in gaps (WD 1, WKBarFar 2021).
        Age                              
Year   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15+ 10+ Total 12+
1981   4.60 34.30 16.40 23.30 40.00 38.40 4.80 1.00 0.30             0.00 163.1  
1982   0.80 2.90 28.30 27.70 23.60 15.50 16.00 1.40 0.20             0.00 116.4  
1983   152.90 13.40 24.95 52.34 43.33 16.96 5.82 3.21 0.97             0.05 313.9  
1984   2755.04 379.11 97.49 28.28 21.44 11.74 4.07 0.40 0.08             0.08 3297.7  
1985   49.49 660.04 166.79 125.98 19.92 7.67 3.34 0.21 0.07             0.05 1033.6  
1986   665.79 399.61 805.00 143.93 64.14 8.30 1.91 0.34 0.04             0.03 2089.1  
1987   30.72 444.98 240.38 391.15 54.35 15.70 2.00 0.45 0.03             0.00 1179.8  
1988   3.21 72.83 148.03 80.49 173.31 20.48 3.58 0.53 0.03             0.00 502.5  
1989   8.24 15.62 46.36 75.86 37.79 90.19 9.82 0.94 0.10             0.07 285.0  
1990   207.17 56.72 28.35 34.87 34.59 20.56 27.23 1.61 0.38             0.03 411.5  
1991   460.45 220.14 45.85 33.67 25.65 21.49 12.15 12.67 0.61             0.02 832.7  
1992   126.56 570.92 158.26 57.71 17.82 12.83 7.67 4.29 2.72             0.22 959.0  
1993   534.48 420.40 273.89 140.13 72.48 15.83 6.24 3.89 2.23             2.36 1471.9  
1994   1043.78 556.68 293.92 307.04 153.33 45.72 7.95 2.61 1.48 0.55 0.55 0.08 0.05 NA 0   2413.7 0.13
1995   5356.43 541.25 282.84 242.36 251.01 76.42 17.98 2.42 1.07 0.5 0.61 0.19 NA NA 0   6773.1 0.19
1996   5899.23 791.62 163.08 117.43 138.59 108.88 24.43 2.64 0.37 0.17 0.12 0.07 0.07 0.02 0   7246.7 0.16
1997   5044.09 1422.92 317.99 68.44 74.26 59.99 26.67 4.85 0.64 0.91 0.08 NA NA NA 0   7020.8 0.00
1998   2490.54 496.48 355.1 166.94 31.67 26.15 17.52 8.16 0.79 0.52 0.04 NA NA NA 0.04   3594.0 0.04
1999   473.04 350.21 188.48 180.75 61.39 12.71 6.81 5.14 1.01 0.26 0.02 0.04 0.02 NA 0   1279.9 0.06
2000   128.57 242.33 245.81 130.03 111.73 26.75 4.56 1.84 1.21 0.33 0.1 0.03 0.02 NA 0   893.3 0.05
2001   712.77 78.03 182.79 195.11 82.9 37.96 9.45 1.17 0.44 0.19 0.04 NA NA NA 0.01   1300.9 0.01
2002   34.11 418.73 118.36 137.56 108.95 45.79 14.4 2.2 0.32 0.18 0.05 NA NA NA 0.02   880.7 0.02
2003   3022.23 65.78 376.7 126.31 93.93 66.88 17.5 4.67 1.02 0.17 0.04 NA 0.02 0.02 0   3775.3 0.04
2004   322.87 242.94 63.88 184.62 53.46 43.24 30.59 6.85 1.65 0.28 0.07 0.01 0.01 NA 0   950.5 0.02
2005   853.43 216.67 248.88 55.06 102.97 22.38 16.36 3.81 0.92 0.3 0.04 0.02 0.04 0.04 0   1520.9 0.10
2006   674.21 289.39 116.49 115.38 28.32 43.42 13.72 5.24 1.36 0.24 0.18 0.18 NA NA 0   1288.1 0.18
2007   594.69 369.74 361.13 127.73 68.51 13.65 23.6 6.82 2.3 0.41 0.11 0.1 NA NA 0   1568.8 0.10
2008   68.83 101.96 194.37 300.59 111.9 40.24 17.34 8.11 1.79 0.36 0.03 0.02 0.01 NA 0   845.6 0.03
2009   389.48 35.59 126.28 196.7 220.23 60.69 17.9 9.02 5.24 0.51 0.17 0.03 0.04 NA 0   1061.9 0.07
2010   1027.59 95.14 36.81 114.25 154.80 144.50 39.56 11.24 3.67 1.60 0.58 0.04 0.02 0.04 0.02   1629.9 0.12
2011   617.18 225.81 85.40 50.37 129.70 138.66 103.51 16.37 4.36 1.20 0.82 0.19 0.14 0.04 0.02   1373.8 0.39
2012   702.97 100.30 75.72 64.59 33.71 90.69 132.58 48.61 9.02 2.26 0.88 0.55 0.44 0.07 0.05   1262.4 1.11
2013   435.72 142.96 68.84 114.09 63.18 40.43 64.54 76.38 33.52 2.22 2.87 0.40 0.35 0.06 0.03   1045.6 0.84
2014   1245.71 191.48 226.85 93.79 88.59 56.39 32.74 53.05 36.19 9.81 1.01 0.95 0.15 0.02 0.08   2036.8 1.20
2015   1642.00 342.76 144.07 228.25 147.29 113.53 74.43 29.22 53.51 18.08 3.38 0.75 0.12 0.07 0.04   2797.5 0.98
2016   312.16 305.57 99.37 135.48 188.31 113.47 72.33 28.56 13.17 16.06 6.77 0.97 0.52 0.17 0.14   1293.1 1.80
2017   644.51 128.92 179.25 62.15 84.54 90.16 37.82 26.33 8.18 3.26 2.61 3.70 0.58 0.17 0.06   1272.2 4.51
2018   2714.35 500.69 139.41 184.78 61.81 64.17 73.88 25.88 9.28 5.87 1.29 2.46 1.23 0.13 0.37   3785.6 4.19
2019   1790.57 559.44 281.57 179.15 221.90 79.65 32.96 38.31 8.15 2.62 0.54 0.24 0.16 0.18 0.12   3195.6 0.70
2020   164.75 273.82 237.73 160.24 131.56 114.88 49.83 24.26 20.44 4.53 1.66 0.93 0.51 0.26 0.73   1186.1 2.43
2021   80.88 34.87 111.50 119.35 112.31 54.28 37.98 13.57 7.27 3.53 1.25 0.42 0.25 0.04 0.32   577.8 1.03
2022   667.82 65.64 51.98 88.68 86.60 66.51 44.60 30.42 5.70 2.29 2.08 1.49 0.16 0.00 0.90   1114.9 2.55
2023   305.40 163.06 41.21 39.82 46.52 43.17 32.24 14.26 7.49 1.58 0.34 0.14 0.06 0.00 0.14   695.4 0.35
2024   377.90 307.04 198.71 63.31 36.21 29.96 28.22 16.15 8.90 2.68 0.37 0.10 0.02 0.01 0.07   1069.65 0.20
2025   165.47 119.23 154.43 168.18 57.63 29.76 23.50 18.97 9.53 3.55 0.85 0.33 0.08 0.01 0.07   751.59 0.49
2026   224.72 45.49 43.06 105.07 133.55 42.26 21.00 15.20 7.89 3.51 1.22 0.36 0.03 0.00 0.03   643.39 0.42

 

Table A3. North-East Arctic COD. Abundance indices (millions) from the Norwegian bottom trawl survey in the Barents Sea in January-March. Rock-hopper gear (1981-1988 back-calculated from bobbins gear). Corrected for length-dependent effective spread of trawl. Data f rom 1994 and onwards corrected - WD 1, WKBarFar 2021

 


 

 

Year 5 6 7 8 9 10 11 12+ Sum
1985 0.68 7.45 12.36 3.11 1.15 1.01 0.45   26.21
1986 2.49 3.30 5.54 2.71 0.16   0.40 0.08 14.68
1987 8.77 7.04 0.23 2.83 0.04   0.03 0.03 18.97
1988 1.57 4.43 2.56 0.05 0.01 0.05     8.67
1989 0.04 13.20 9.73 2.20 0.38 0.12   0.06 25.73
1990 0.13 2.60 27.02 4.85 0.49 0.32     35.41
1991 0.00 5.00 19.83 32.67 2.75 0.19 0.17   60.61
1992 2.74 5.23 20.80 20.87 79.60 4.17 1.61 0.22 135.24
1993 4.87 14.58 17.35 20.22 25.44 41.95 4.74 0.71 129.86
1994 23.78 25.85 10.36 8.21 7.68 3.49 17.53 2.61 99.51
1995 6.49 35.24 12.34 2.27 3.60 2.56 2.15 7.96 72.61
1996 1.41 14.43 24.00 3.65 0.79 0.25 0.80 1.30 46.63
1997 0.40 4.95 27.56 16.50 1.50 0.42   0.75 52.08
1998 0.05 0.30 7.06 11.05 3.24 0.51 0.18 0.02 22.41
1999 0.25 1.92 4.84 14.58 8.42 0.75 0.19 0.10 31.05
2000 3.61 3.85 3.25 2.15 2.23 0.45 0.39 0.05 15.98
2001 4.33 17.61 8.03 0.96 0.33 0.36 0.26 0.09 31.97
2002 2.30 19.11 16.50 6.49 0.83 0.31 0.47 0.01 46.02
2003 2.49 29.56 30.01 13.46 1.90 0.11 0.04 0.02 77.59
2004 1.96 17.52 29.82 16.34 7.67 2.04 0.15 0.68 76.18
2005 3.33 12.93 28.75 13.06 6.51 1.55 0.06 0.16 66.35
2006 0.20 12.50 8.11 10.98 7.42 2.12 0.16 0.66 42.14
2007 1.46 3.88 28.52 8.69 5.35 2.80 0.68 0.36 51.72
2008 0.45 5.96 2.95 20.72 2.70 2.02 1.66 0.71 37.17
2009 3.42 14.48 27.64 8.10 22.31 3.07 1.56 0.37 80.95
2010 0.96 20.06 16.98 16.84 6.89 9.61 3.05 2.60 76.96
2011 2.01 51.73 170.09 44.72 17.16 5.12 6.54 0.40 297.76
2012 0.46 12.56 91.58 67.75 17.30 5.98 2.59 1.53 199.76
2013 0.22 5.89 33.69 101.76 106.39 16.08 7.05 6.48 277.56
2014 0.25 2.82 15.49 58.75 112.10 75.33 12.07 8.82 285.62
2015 0.87 1.40 15.42 14.73 42.98 44.20 24.62 11.75 155.97
2016 0.24 1.46 9.05 14.53 22.06 38.65 27.06 25.45 138.51
2017 0.17 7.51 12.84 21.94 14.79 12.70 11.67 18.84 100.46
2018 0.61 3.28 11.11 11.21 8.44 7.82 4.42 9.60 56.50
2019 0.25 2.35 13.34 36.00 17.68 18.35 5.96 9.93 103.87
2020 0.58 3.17 7.75 24.37 28.05 13.28 6.66 5.29 89.15
2021 0.34 1.68 6.13 3.90 5.04 9.68 5.99 2.77 35.53
2022 0.31 3.34 4.58 6.70 3.77 4.39 3.75 2.53 29.37
2023 0.08 0.72 4.01 5.73 6.45 1.66 1.40 1.28 21.34
2024 0.55 1.31 2.10 7.63 7.23 2.12 0.68 0.00 21.62
2025 0.00 0.13 0.68 1.64 1.98 0.53 0.57 0.19 5.73
2026 1.82 1.05 1.49 2.20 5.12 2.00 0.68 0.10 14.46
Table A4. North East Arctic COD. Abundance at age (millions) from the Norwegian acoustic survey on the spawning grounds off Lofoten in March-April.
Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1981 17.0 26.1 35.5 44.7 52.0 61.3 69.6 77.9            
1982 14.8 25.8 37.6 46.3 54.7 63.1 70.8 82.9            
1983 12.8 27.6 34.8 45.9 54.5 62.7 73.1 78.6            
1984 14.2 28.4 35.8 48.6 56.6 66.2 74.1 79.7            
1985 16.5 23.7 40.3 48.7 61.3 71.1 81.2 85.7            
1986 11.9 21.6 34.4 49.9 59.8 69.4 80.3 93.8            
1987 13.9 21.0 31.8 41.3 56.3 66.3 77.6 87.9            
1988 15.3 23.3 29.7 38.7 47.6 56.8 71.7 79.4            
1989 12.5 25.4 34.7 39.9 46.8 56.2 67.0 83.3            
1990 14.4 27.9 39.4 47.1 53.8 60.6 68.2 79.2            
1991 13.6 27.2 41.6 51.7 59.5 67.1 72.3 77.6            
1992 13.2 23.9 41.3 49.9 60.2 68.4 76.1 82.8            
1993 11.3 20.3 35.9 50.8 59.0 68.2 76.8 85.8            
1994 11.3 17.9 30.2 44.6 55.2 65.7 73.9 78.9 87.4 97.2 97.6 104.7 122.4  
1995 12.2 18.1 29.0 42.2 53.9 63.9 75.4 80.4 85.9 99.1 90.1 109.0    
1996 12.1 18.8 28.8 40.5 49.4 60.9 71.8 85.1 92.4 94.9 96.1 104.2 103.9 121.0
1997 10.8 16.9 29.7 41.0 50.6 59.4 69.6 81.2 92.3 80.4 103.2      
1998 10.5 17.8 30.8 40.9 50.9 58.5 67.7 76.7 87.2 103.0 111.4   105.9  
1999 12.0 18.4 29.0 40.0 50.4 59.4 70.4 78.4 88.5 87.6 117.0 62.0 108.0  
2000 12.8 20.7 28.4 39.7 51.5 61.4 70.4 76.3 84.9 84.3 100.0 116.2 90.0  
2001 11.6 22.6 33.0 41.2 52.2 63.3 70.4 78.3 86.0 95.7 104.7      
2002 12.0 19.6 28.9 43.6 52.1 61.9 71.4 79.5 91.2 89.7 103.7      
2003 11.4 18.1 29.1 39.7 53.4 61.7 70.6 80.8 89.1 90.1 105.4   104.3 110.5
2004 10.6 18.4 31.7 40.6 51.7 61.6 68.6 79.7 90.9 90.4 92.2 116.0 112.0  
2005 11.2 18.3 29.5 43.4 51.1 60.4 71.0 79.6 89.0 96.4 109.3 113.7 129.6 107.0
2006 12.0 19.4 30.9 42.1 53.8 60.3 66.7 76.7 84.9 98.9 95.4 84.9    
2007 13.2 20.7 29.6 41.1 52.8 62.5 70.4 78.2 87.5 92.7 101.8 121.6 110.0  
2008 12.1 22.3 33.0 43.2 51.8 64.0 69.9 81.3 88.7 95.3 108.9 103.0 102.0  
2009 11.2 21.1 32.1 42.6 53.2 61.9 76.6 81.8 89.5 97.8 99.5 94.2 110.0  
2010 11.2 18.4 31.4 42.7 52.4 60.7 70.5 80.4 88.8 96.3 102.2 99.8 100.8 126.0
2011 11.9 19.5 29.4 41.9 51.0 60.7 68.1 78.3 86.1 95.4 102.2 110.4 114.3 116.9
2012 10.6 18.4 29.7 41.0 52.4 58.1 66.5 75.6 86.0 91.8 105.9 114.0 119.0 115.5
2013 11.2 19.3 31.1 41.1 51.7 62.0 69.7 76.5 81.2 95.3 93.7 110.7 110.8 145.0
2014 9.7 17.1 29.5 40.5 52.0 59.6 70.2 76.8 81.8 87.1 97.4 98.9 107.8 91.1
2015 10.5 15.9 30.0 40.3 51.1 60.2 68.8 77.5 81.2 88.7 94.0 101.9 127.5 121.1
2016 12.2 18.3 27.7 40.6 49.8 60.5 68.3 76.6 85.5 86.5 90.5 94.1 112.0 122.5
2017 12.3 22.2 31.2 42.5 51.2 60.5 69.6 75.5 85.2 90.9 96.0 92.6 108.6 108.7
2018 11.2 19.1 32.7 42.4 51.2 61.6 69.0 77.5 83.4 87.6 97.0 99.3 101.8 106.8
2019 11.7 17.5 31.2 42.4 51.0 59.6 69.7 77.0 84.1 87.1 99.3 103.4 104.6 109.8
2020 12.0 17.5 25.5 39.5 50.2 58.6 66.7 74.8 83.0 90.0 93.9 92.4 111.2 113.9
2021 11.6 19.9 26.5 37.4 48.0 58.5 66.7 74.9 84.0 91.7 97.7 102.1 105.8 115.0
2022 10.8 20.4 32.4 39.1 49.3 58.4 68.7 75.3 84.1 92.5 98.2 102.6 113.2  
2023 11.4 19.7 32.3 42.2 50.0 59.1 67.6 75.9 81.7 86.8 104.2 104.1 115.6  
2024 11.3 18.1 30.9 42.2 50.7 59.6 66.7 76.0 80.4 85.9 96.6 99.5 117.0 117.0
2025 11.6 17.3 27.8 41.0 50.4 58.3 67.9 73.7 81.6 86.2 91.8 101.0 108.2 119.0
2026 10.5 18.0 26.8 37.8 49.0 59.5 68.1 75.2 84.7 89.2 94.7 105.9    
Table A5. North East Arctic COD. Length (cm) at-age in the Barents Sea from the investigations winter survey in February. Data for ages 1-11 from 1994 and onwards - WD 1, WKBarFar 2021.
Year \ Age 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1983 20 190 372 923 1597 2442 3821 4758            
1984 23 219 421 1155 1806 2793 3777 4566            
1985 20 171 576 1003 2019 3353 5015 6154            
1986 20 119 377 997 1623 2926 3838 7385            
1987 21 65 230 490 1380 2300 3970 6000            
1988 24 114 241 492 892 1635 3040 4373            
1989 16 158 374 604 947 1535 2582 4906 10943 5226        
1990 26 217 580 1009 1435 1977 2829 4435 10772 11045 9615      
1991 18 196 805 1364 2067 2806 3557 4502 7404 13447        
1992 20 136 619 1118 1912 2792 3933 5127 6420 8103 17705 22060    
1993 9 71 415 1179 1743 2742 3977 5758 7068 7515 7521 10744    
1994 13 56 262 796 1470 2386 3481 4603 6777 8195 8516 13972    
1995 15 54 240 658 1336 2207 3570 4715 5712 8816 6817 12331    
1996 15 62 232 627 1084 1980 3343 5514 7722 8873 9613 12865 12556  
1997 13 52 230 638 1175 1797 2931 4875 7529 5739 10194      
1998 11 52 280 635 1182 1728 2588 4026 6076 11257 14391      
1999 14 59 231 592 1178 1829 2991 4128 6321 7342        
2000 16 74 210 558 1210 1963 3036 3867 5401 6154 10023      
2001 14 106 336 646 1288 2233 3088 4439 5732 8442 11429      
2002 14 67 238 747 1229 2063 3199 4578 7525 6598 12292      
2003 13 61 234 597 1316 2014 2989 4715 6517 7500 12812      
2004 11 59 275 608 1143 1947 2623 4137 6673 7368 8109      
2005 13 61 246 723 1146 1866 2949 4226 6436 8646 12537   24221 11640
2006 13 69 280 669 1420 1970 2641 4260 5914 10179 9439 8328    
2007 19 73 235 639 1302 2190 3039 4411 6394 8056 10826 20104    
2008 15 90 335 798 1399 2442 3235 5210 6981 9641        
2009 13 83 294 704 1302 2065 4067 5087 6874 9460 9511      
2010 12 64 304 700 1296 2033 3162 4743 6562 8984 10315     22766
2011 15 66 246 668 1131 1940 2726 4013 5969 8275 10309 13159 14868  
2012 13 62 252 609 1276 1681 2489 3764 5920 7809 12199 15006 17582  
2013 11 65 269 602 1208 2055 2809 3843 4822 8447 9101 15108 14743  
2014 8 50 246 603 1226 1780 2866 3930 4927 6203 8570 9566 12239  
2015 10 44 242 602 1221 1929 2741 4043 4804 6817 7759 11544 21652  
2016 13 53 200 593 1049 1928 2674 3830 5540 6129 7110 8272 15256 21945
2017 15 102 292 720 1178 1972 3056 3962 5901 7429 9301 8599 12958 14894
2018 12 69 320 688 1228 2062 2803 4154 5409 6632 9156 10510 11810 12443
2019 12 48 273 685 1164 1870 2916 3974 5394 6068 9637 11507 12371 13993
2020 14 44 153 548 1077 1692 2476 3625 5074 6758 8040 8107 14892 15793
2021 14 68 164 462 910 1682 2484 3620 5379 7160 9313 10923 12410  
2022 11 77 311 535 1052 1716 2885 3855 5321 7751 9538 11432 14940  
2023 12 71 316 694 1111 1757 2802 4097 5119 6443 10937 10668 14732  
2024 12 57 289 701 1133 1855 2571 3834 4994 5931 8809 10805 17000  
2025 13 51 217 648 1176 1778 2678 3516 5033 6267 7722 10640 13730  
2026 11 53 195 488 996 1791 2611 3504 5387 6473 7981 12716    
Table A6. North East Arctic COD. Weight (g) at-age in the Barents Sea from the investigations winter survey in February. Data for ages 1-11 from 1994 and onwards - WD 1, WKBarFar 2021.
Year/age 5 6 7 8 9 10 11 12 13 14 12+
1985 59.6 71.1 79.0 88.2 97.3 105.2 114.0        
1986 62.7 70.0 80.0 89.4 86.6   105.8       115.0
1987 58.2 64.5 76.7 86.2 88.0   118.5       116.0
1988 53.1 67.1 71.6 94.0 97.0 119.6          
1989 54.0 59.0 69.8 80.8 96.6 103.0         125.0
1990 56.9 65.1 69.2 79.5 83.7 100.1          
1991 59.0 67.3 74.4 81.0 91.3 99.8 85.0        
1992 66.3 68.7 78.3 83.9 89.2 92.2 101.9       127.0
1993 58.3 66.1 72.8 83.6 87.4 92.7 95.4       111.2
1994 64.3 70.6 82.0 87.3 90.0 95.3 92.4       101.4
1995 61.5 69.7 77.8 84.4 92.6 96.7 100.3       99.5
1996 62.2 67.1 75.9 81.0 93.6 100.9 97.4       104.1
1997 63.7 68.6 74.2 83.8 99.9 108.4         109.0
1998 55.0 62.6 70.2 80.0 92.0 98.0 96.7       115.0
1999 52.7 67.0 69.4 78.6 85.8 100.3 102.0       125.0
2000 58.4 66.5 72.6 77.0 83.9 90.6 93.7       112.4
2001 59.3 66.9 73.2 87.1 88.7 102.8 98.5       128.2
2002 58.6 66.0 73.2 80.8 88.2 101.8 91.0       101.4
2003 62.3 65.0 73.2 80.9 88.9 86.4 120.0       122.0
2004 58.8 64.7 71.2 80.1 85.6 97.0 102.6       115.8
2005 56.3 65.4 72.3 76.0 85.3 95.5 110.5       117.8
2006 56.2 63.7 72.6 77.5 82.9 88.3 89.2       116.3
2007 63.0 66.4 72.4 82.5 88.2 99.8 103.7       115.0
2008 63.8 69.1 73.6 80.9 90.0 94.9 94.9       96.5
2009 60.5 69.3 76.5 82.7 88.7 98.8 92.9       111.6
2010 59.9 64.9 73.6 83.3 89.2 96.3 100.8 103.1 118.2 123.0  
2011 57.1 64.3 70.0 79.9 91.2 98.3 101.6 103.6 110.0 102.0  
2012 65.3 65.1 69.9 76.6 85.3 98.7 104.6 103.9 116.2 89.0  
2013 63.6 68.7 73.0 78.4 83.5 90.9 99.1 96.6 103.0 116.8  
2014 55.9 66.0 74.5 77.9 82.8 86.8 93.4 99.1 109.2 116.0  
2015 61.0 66.5 72.9 78.6 83.4 89.0 95.4 99.5 106.1 114.5  
2016 64.0 63.0 74.3 81.1 88.8 93.2 95.5 97.1 103.2 117.1  
2017 58.0 64.8 70.7 81.6 87.3 94.8 98.7 99.4 102.7 106.1  
2018 67.9 67.3 72.9 79.5 89.4 93.6 99.3 104.9 104.3 107.9  
2019 59.9 69.4 74.7 81.4 87.9 93.9 98.1 106.2 111.1 109.8  
2020 66.1 68.3 75.1 81.8 88.9 95.1 96.3 106.0 109.5 109.1  
2021 63.3 66.3 74.3 78.6 89.4 93.3 96.9 103.7 103.1 108.4  
2022 61.4 67.9 72.9 81.0 88.4 96.5 100.1 98.3 99.3 104.0  
2023 60.0 69.1 76.7 80.5 87.1 93.1 99.3 107.2 114.0 120.6  
2024 52.2 64.7 73.5 77.9 81.7 91.3 96.4        
2025 59.0 65.0 73.5 80.6 86.8 91.2 97.2 99.8 97.7    
2026 51.7 64.3 71.6 79.7 88.3 97.1 97.6 108.8 116.0    
Table A7. Northeast Arctic COD. Length at age in cm in the Lofoten survey.
Year 5 6 7 8 9 10 11 12 13 14+ 12+
1985 2.00 3.42 4.61 6.67 8.89 10.73 14.29        
1986 2.22 3.22 4.74 6.40 5.80   10.84       13.48
1987 1.44 1.94 3.61 5.40 5.64   13.15       12.55
1988 1.46 2.82 3.39 6.63 7.27 13.64          
1989 1.30 1.77 2.89 4.74 8.28 9.98         26.00
1990 1.54 2.32 2.55 3.78 4.77 8.80          
1991 2.21 2.52 3.51 5.18 7.40 11.36 5.35        
1992 2.56 2.85 3.99 5.43 6.35 8.03 9.50       17.80
1993 1.79 2.58 3.55 5.31 6.21 7.69 9.28       14.71
1994 2.31 3.27 5.06 6.39 6.64 7.92 7.73       10.10
1995 2.20 3.24 4.83 5.98 7.80 10.03 10.39       10.68
1996 2.22 2.75 4.11 5.63 7.92 10.53 10.58       12.08
1997 2.42 2.92 3.86 5.71 9.65 13.41         12.67
1998 1.88 2.09 2.98 4.85 7.92 9.91 11.05       18.34
1999 1.51 2.80 2.96 4.22 5.92 9.33 9.17       16.00
2000 1.71 2.50 3.16 3.85 5.32 7.07 7.62       12.84
2001 1.90 2.72 3.49 6.23 6.82 10.95 10.29       28.58
2002 1.87 2.57 3.52 4.71 6.18 10.56 8.70       10.48
2003 2.30 2.34 3.48 4.59 5.89 8.07 24.50       27.70
2004 1.74 2.30 3.02 4.50 5.77 7.81 9.95       13.25
2005 1.56 2.40 3.20 3.71 5.79 8.52 16.27       18.63
2006 1.54 2.35 3.44 4.19 5.43 6.57 6.19       18.15
2007 2.34 2.67 3.53 5.30 6.70 9.95 11.24       16.62
2008 2.21 2.97 3.63 4.88 6.74 8.18 7.70       9.07
2009 2.04 2.98 4.10 5.19 6.56 9.38 8.58       15.67
2010 1.90 2.46 3.47 5.13 6.26 7.83 9.59 10.77 18.31 20.84  
2011 1.66 2.28 2.89 4.52 6.82 8.82 9.55 9.08 13.38 10.70  
2012 3.07 2.47 2.93 3.89 5.37 8.79 11.53 12.28 15.04 5.41  
2013 2.49 3.05 3.52 4.46 5.54 7.56 10.26 10.23 11.49 16.61  
2014 1.90 2.52 3.80 4.04 5.06 5.96 7.36 9.01 12.20 16.95  
2015 2.16 2.62 3.42 3.95 5.21 6.53 8.32 9.95 12.45 14.21  
2016 2.53 2.31 3.72 5.05 6.79 8.03 8.93 9.02 12.12 18.46  
2017 2.01 2.52 2.94 4.91 5.75 7.16 8.18 9.10 10.49 11.59  
2018 3.25 2.77 3.41 4.53 6.51 7.94 9.65 12.05 12.04 12.85  
2019 2.12 3.02 3.76 4.81 6.07 7.44 8.71 11.06 13.86 13.40  
2020 2.75 2.79 3.64 4.69 6.06 7.78 8.70 10.86 12.93 13.95  
2021 2.30 2.62 3.76 4.40 6.59 7.39 8.56 10.15 11.821 14.79  
2022 2.61 3.00 3.59 5.01 7.15 8.34 9.34 9.35 9.41 11.63  
2023 1.86 2.94 4.16 4.84 6.00 7.19 9.36 11.88 15.31 17.69  
2024 1.13 2.32 3.95 4.38 5.68 7.16 9.72        
2025 1.44 2.50 3.46 4.59 5.87 7.02 8.41 9.44 8.17    
2026 1.16 2.28 3.32 4.55 6.04 8.26 7.98 12.57 14.74    
Table A8. Northeast Arctic COD. Mean weight-at-age (kg) in the Lofoten survey.
Year         Age                
    1 2 3 4 5 6 7 8 9 10+ Total  
1985 1 77 569 400 568 244 51 20 8 1 3 1941  
1986 1 25 129 899 612 238 69 20 3 2 1 1998  
1987 2 2 58 103 855 198 82 19 4 1 1 1323  
1988 2 3 23 96 100 305 54 16 3 1 1 602  
1989 1 1 3 17 45 57 91 75 25 13 5 332  
1990 1 36 27 8 27 62 74 91 39 10 3 377  
1991 1 63 65 96 45 50 54 66 49 5 1 494  
1992 1 133 399 380 121 56 58 33 29 11 2 1222  
1993 1 20 44 220 234 164 51 19 13 8 10 783  
1994 1 105 38 147 275 303 314 100 35 10 8 1335  
1995 1 242 42 111 219 229 97 21 6 2 2 971  
1996 1,3,5 424 275 189 316 449 314 126 27 3 4 2127  
1997 4,5 72 160 263 198 112 57 27 9 1 1 900  
1998 1 26 86 279 186 57 23 10 4 1 0 672  
1999 1 19 79 166 260 98 20 8 5 2 1 658  
2000 1,rev 24 82 191 159 127 48 6 3 1 1 642  
2001 1 38 59 148 204 120 70 14 2 1   656  
2002 1,5,6 83 2 106 85 140 151 67 30 7 1 672  
2003   69 36 25 218 142 167 163 60 23 4 908  
2004   375 35 170 85 345 194 229 167 49 19 1669  
2005   112 48 65 154 70 214 68 47 17 8 803  
2006 7 12 20 39 49 78 32 64 23 13 8 341  
2007   13 35 165 372 208 189 74 113 32 20 1221  
1 October-December
2 September-October
3 Area IIb not covered
4 Areas IIa, IIb covered in October-December, part of Area I covered in February-March 1998
5 Adjusted for incomplete area coverage
6 Area IIa not covered
7 Area I not fully covered
Table A9. Northeast Arctic COD. Results from the Russian trawl-acoustic survey in the Barents Sea and adjacent waters in the autumn. Stock number in millions.
Year     Age                        
  0 1 2 3 4 5 6 7 8 9 10 11 12 13+ Sum
1982 849.3 1905.3 33.2 141.3 152.5 72.1 19.8 55.1 17.4 3.7 1.9 1.5 0.1 0.0 3253.3
1983 1872.2 2003.4 73.2 52.0 64.2 50.6 35.8 17.9 25.2 9.4 0 0 0 0 4203.9
1984 363.3 180.5 104.4 118.9 70.0 48.9 35.7 15.4 6.9 6.1 1.7 1.5 0.6 0.2 954.0
1985 284.6 15.6 129.0 118.8 159.2 106.8 36.5 16.5 3.7 0.8 1.6 0.1 2.1 0.0 875.3
1986 329.9 7.6 31.7 162.2 153.2 149.3 48.1 18.9 4.2 0.2 0.6 0.0 0.0 0.0 905.9
1987 7.7 1.3 46.9 55.7 307.6 90.0 70.1 18.4 6.0 2.5 0.4 0.1 0.3 0.0 607.0
1988 92.5 2.9 31.3 99.3 93.8 287.9 58.3 26.0 4.7 2.4 0.1 0.0 0.0 0.0 699.2
1989 355.8 3.0 14.7 49.0 97.8 106.2 145.4 116.7 29.9 11.2 4.7 1.8 0.7 0.5 937.4
1990 1248.4 31.1 51.0 16.7 48.7 62.7 97.2 153.8 67.3 15.3 4.9 0.9 0.2 0.0 1798.2
1991 974.0 64.0 91.1 107.7 48.4 53.2 58.3 68.5 74.7 9.8 1.4 0.3 0.0 0.0 1551.4
1992 1204.8 157.7 151.1 67.5 30.8 23.9 27.3 21.8 17.5 2.5 2.5 0.4 0.0 0.0 1707.8
1993 484.8 38.0 158.6 160.4 113.5 68.1 41.6 35.4 8.7 0.3 0.7 0.1 0.1 0.0 1110.3
1994 1606.6 833.2 69.9 136.3 130.9 101.9 35.4 12.8 4.9 2.1 1.1 0.6 0.2 0.0 2935.9
1995 5703.5 471.9 36.9 58.9 106.5 139.5 84.9 25.1 8.3 1.9 1.8 0.9 0.6 0.0 6640.8
1996 2660.3 396.5 128.5 73.3 78.4 103.5 77.3 34.8 13.2 1.9 0.5 1.2 0.2 0.0 3569.6
1997 1371.4 353.9 135.3 134.2 83.5 61.3 60.2 34.8 11.6 3.2 3.0 0.0 0.0 0.0 2252.4
1998 304.8 276.8 89.6 202.8 136.3 78.8 47.0 25.9 13.0 4.8 0.5 0.0 0.1 0.0 1180.4
1999 266.9 40.1 118.4 158.7 207.2 98.0 30.1 12.3 9.4 4.2 0.4 0.0 0.0 0.0 945.7
2000 1436.5 37.7 103.6 183.9 128.6 178.6 77.3 11.4 5.2 2.3 0.9 0.4 0.0 0.0 2166.4
2001 321.6 233.8 77.3 122.4 155.7 129.0 106.1 30.4 5.0 1.4 0.5 2.5 1.3 0.0 1187.1
2002 1797.9 26.7 135.6 98.0 147.3 147.3 89.6 60.0 18.2 2.9 0.8 0.1 0.1 0.0 2524.4
2003 489.5 517.5 26.8 124.6 105.7 116.6 120.3 53.5 24.1 4.0 0.9 0.3 0.0 0.1 1583.9
2004 1770.4 158.4 87.5 32.9 157.6 88.0 111.1 77.6 27.9 9.3 2.3 0.4 0.2 0.0 2523.6
2005 2298.0 323.9 61.7 140.8 63.1 183.2 74.4 60.5 24.4 8.8 2.8 0.6 0.1 0.0 3242.4
2006 427.4 52.4 63.2 92.7 161.3 77.7 180.1 66.2 34.2 16.1 4.3 1.7 0.7 0.0 1178.1
2007 177.5 37.0 148.6 257.9 161.7 190.3 84.6 152.5 55.3 22.6 8.6 4.9 1.1 0.7 1303.3
2008 1468.6 45.2 86.3 220.3 308.8 163.5 147.2 83.0 86.3 29.1 11.5 3.3 1.7 0.2 2654.9
2009 1877.7 287.8 21.9 97.4 231.7 368.7 201.6 117.5 62.0 41.3 20.5 6.5 3.2 0.9 3338.7
2010 2210.4 214.9 47.0 33.4 107.0 250.5 371.5 181.7 78.9 39.5 29.9 15.6 5.5 2.0 3587.7
2011 2296.1 125.9 80.0 88.2 50.8 143.2 306.5 330.0 91.7 43.9 17.6 17.5 7.0 3.5 3602.1
2012 1096.0 196.2 45.1 81.5 111.4 83.9 212.2 335.8 187.8 43.2 19.5 4.6 5.7 1.9 2424.8
2013 297.1 654.0 107.6 74.7 117.4 117.7 88.4 234.9 313.2 136.7 30.6 9.2 5.4 4.5 2191.5
2014 909.7 211.0 72.1 139.9 136.8 172.5 148.3 111.1 192.9 129.7 38.3 9.3 3.5 2.0 2277.1
2015 572.9 465.4 51.5 65.7 158.3 174.2 193.2 161.0 92.5 115.8 76.1 24.2 6.5 4.9 2162.0
2016 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
2017 4325.9 5257.4 94.5 145.6 88.4 106.3 195.2 123.1 56.7 26.6 12.0 12.0 7.5 2.8 10454.0
2018 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
2019 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
Table A10. Northeast Arctic COD. Abundance indices (millions) from the Russian bottom trawl survey in the Barents Sea. Total (Sub-area I and Division IIa and IIb) .
Year Age      
  0 1 2 3 4 5 6 7 8 9 10 11 12
1984 15.7 22.3 30.7 44.3 51.7 63.6 73.4 82.5 88.4 97.0 - - -
1985 15.0 21.1 30.6 43.2 53.7 61.2 72.8 83.0 92.8 101.3 - - -
1986 15.2 19.7 28.3 39.0 51.8 62.2 70.9 83.0 91.3 104.0 - - -
1987 - 19.2 27.9 33.4 41.4 59.1 69.2 80.1 95.7 102.6 - - -
1988 11.3 21.3 28.7 36.2 43.9 53.3 65.3 79.5 85.0 - - - -
1989 - 20.8 28.8 34.8 46.0 53.9 61.8 69.8 78.7 88.6 - - -
1990 16.0 24.0 30.4 46.5 54.9 62.5 69.7 77.6 87.8 102.0 - - -
1991 11.5 22.4 30.6 43.0 55.9 64.6 72.8 78.5 87.9 101.8 - - -
1992 11.3 21.3 31.9 50.1 59.8 69.1 78.6 84.0 90.8 97.5 - - -
1993 12.1 17.4 29.1 43.4 52.7 64.3 73.9 81.2 89.1 91.8 - - -
1994 12.2 20.3 26.3 33.7 47.4 58.7 70.6 80.8 90.1 96.1 - - -
1995 11.6 19.8 27.6 33.8 45.2 60.5 71.1 83.5 92.9 99.1 - - -
1996 10.2 20.0 28.1 36.7 48.7 58.9 70.5 80.0 93.6 102.7 - - -
1997 9.6 18.5 28.8 38.2 50.8 62.0 70.5 80.1 88.9 103.5 - - -
1998 11.4 19.0 28.0 36.4 50.5 61.0 70.7 80.3 91.1 102.5 - - -
1999 11.7 19.7 27.9 35.3 51.6 60.6 70.6 78.9 86.8 94.3 - - -
2000 10.7 20.8 30.1 34.7 49.8 61.1 71.6 82.0 88.3 85.7 104.2 - -
2001 10.6 19.4 29.8 37.3 50.4 61.9 71.9 81.4 91.0 98.7 103.8 - -
2002 10.7 19.2 29.9 38.2 52.5 60.4 70.6 82.2 91.3 97.2 104.1 - -
2003 9.8 18.9 28.3 34.9 49.2 62.2 71.0 81.5 92.3 100.9 104.3 - -
2004 9.8 19.6 29.3 38.4 49.1 60.0 70.5 80.0 91.0 98.0 106.0 - -
2005 11.2 19.4 29.7 38.5 48.7 59.3 69.3 79.2 87.7 96.1 104.4 - -
2006 13.0 21.9 31.6 42.7 53.2 60.1 70.2 79.1 88.3 95.2 107.7 - -
2007 10.7 21.5 30.8 42.2 53.6 63.7 71.0 79.6 87.3 95.9 - - -
2008 10.2 20.0 30.3 40.2 53.7 64.5 74.6 82.7 89.5 98.2 102.3 110.2 111.9
2009 12.9 19.3 29.5 38.4 50.7 61.5 70.7 81.7 89.9 94.7 101.8 105.9 109.4
2010 11.1 19.3 28.7 38.5 48.9 59.1 68.0 78.4 88.2 97.3 102.5 108.4 117.7
2011 11.2 20.3 29.2 38.5 49.5 58.6 68.7 78.2 90.0 97.9 106.9 109.3 116.0
2012 11.0 20.3 31.1 40.8 50.8 60.7 68.4 77.6 87.4 97.7 105.2 111.7 116.6
2013 9.5 19.5 29.0 40.3 50.4 59.3 67.3 75.3 84.4 95.3 104.5 111.9 119.4
2014 10.1 20.1 29.8 39.2 50.7 60.9 69.4 77.9 85.1 93.6 102.7 113.3 122.8
2015 11.5 19.0 28.5 37.5 48.0 58.4 67.4 76.3 83.5 91.0 98.8 107.1 117.9
2016 - - - - - - - - - - - - -
2017 14.6 20.6 30.6 40.2 51.5 59.3 67.1 76.2 84.9 92.6 97.9 104 110.1
2018 - - - - - - - - - - - - -
2019 - - - - - - - - - - - - -
Table A11. Northeast Arctic COD. Length-at-age (cm) from Russian surveys in November-December.
  Age    
Year    
  0 1 2 3 4 5 6 7 8 9 10 11 12
1984 26 90 250 746 1187 2234 3422 5027 6479 9503 - - -
1985 26 80 245 762 1296 1924 3346 5094 7360 6833 11167 - -
1986 25 63 191 506 1117 1940 2949 4942 7406 9300 - - -
1987 - 54 182 316 672 1691 2688 3959 8353 10583 13107 - -
1988 15 78 223 435 789 1373 2609 4465 5816 - - - -
1989 - 73 216 401 928 1427 2200 3133 4649 6801 8956 - -
1990 28 106 230 908 1418 2092 2897 4131 6359 10078 13540 - -
1991 26 93 260 743 1629 2623 3816 4975 7198 11165 15353 - -
1992 10 76 273 1165 1895 2971 4377 5596 7319 9452 12414 - -
1993 11 46 211 717 1280 2293 3509 4902 6621 7339 8494 - -
1994 12 69 153 316 919 1670 2884 4505 6520 8207 9812 - -
1995 11 61 180 337 861 1987 3298 5427 7614 9787 10757 - -
1996 7 64 191 436 1035 1834 3329 5001 8203 10898 11358 - -
1997 6 48 203 487 1176 2142 3220 4805 6925 10823 12426 - -
1998 11 55 187 435 1186 2050 3096 4759 7044 11207 12593 - -
1999 10 58 177 371 1214 1925 3064 4378 6128 7843 11543 - -
2000 8 74 232 379 1101 2128 3341 5054 6560 8497 12353 - -
2001 9 58 221 459 1125 2078 3329 4950 7270 9541 11672 - -
2002 8 65 232 505 1299 1964 3271 5325 7249 9195 11389 - -
2003 6 49 205 492 972 1993 2953 4393 6638 9319 11085 - -
2004 6 55 231 543 1079 1798 2977 4110 5822 8061 12442 - -
2005 10 59 223 521 1034 1910 3036 4619 6580 9106 12006 - -
2006 13 72 270 707 1332 1953 2969 4340 6410 8622 12436 - -
2007 10 96 252 669 1344 2277 3140 4691 6178 8567 10014 - -
2008 7 58 228 558 1332 2305 3527 5001 6519 8848 10339 13276 15196
2009 15 54 214 495 1116 2024 3090 4876 6592 8087 10262 11472 13268
2010 9 54 191 794 989 1784 2719 4246 6384 8747 10499 12117 14199
2011 10 63 206 486 1037 1691 2827 4312 6698 8979 11557 12915 15694
2012 9 62 237 561 1087 1877 2688 3974 5930 8495 11000 13377 14826
2013 5 55 202 546 1062 1718 2541 3667 5258 7821 10509 13161 16581
2014 7 64 221 508 1079 1849 2734 3994 5418 7480 10100 14163 18404
2015 11 55 198 452 947 1735 2588 3728 5081 6827 8877 11623 15626
2016 - - - - - - - - - - - - -
2017 22 69 248 571 1150 1771 2539 3819 5426 7554 9236 11220 13536
2018 - - - - - - - - - - - - -
2019 - - - - - - - - - - - - -
Table A12. Northeast Arctic COD. Weight (g) at age from Russian surveys in November-December.
            Age                
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+ 12+
1985 69.1 446.3 153.0 141.6 20.4 15.1 15.7 3.3 1.3 1.0 0.5 na na 0.0
1986 353.6 243.9 499.6 134.3 68.4 11.6 7.7 3.1 0.3 0.0 0.4 na na 0.1
1987 1.6 34.1 62.8 204.9 50.2 17.4 1.4 3.0 0.7 0.0 0.0 na na 0.0
1988 2.0 26.3 50.4 35.5 57.8 10.9 4.0 0.3 0.0 0.1 0.0 na na 0.0
1989 7.5 8.0 17.0 34.4 21.4 67.0 16.6 3.2 0.5 0.2 0.0 na na 0.1
1990 81.1 24.9 14.8 20.6 26.2 26.9 66.8 7.3 0.6 0.3 0.0 na na 0.0
1991 181.0 219.5 50.2 34.6 29.3 33.9 36.7 50.0 3.7 0.2 0.2 na na 0.0
1992 241.4 562.1 176.5 65.8 21.5 18.4 28.4 25.4 82.4 4.3 1.7 na na 0.2
1993 1074.0 494.7 357.2 191.1 113.1 35.4 25.5 25.2 27.7 44.2 4.9 na na 0.8
1994 902.6 624.4 323.9 374.5 229.3 96.1 23.4 11.8 10.3 4.2 18.7 na na 2.9
1995 2175.3 212.3 137.7 139.5 203.6 101.6 28.1 4.7 4.5 2.9 2.6 na na 8.1
1996 1826.3 271.7 99.4 89.6 112.8 97.4 46.2 5.9 1.1 0.4 0.9 na na 1.5
1997 1698.5 565.3 158.6 44.2 50.3 45.9 51.0 21.5 2.3 0.7 0.1 na na 0.8
1998 2523.6 475.2 391.2 189.8 44.9 41.5 34.9 27.1 5.1 1.0 0.2 na na 0.1
1999 364.8 231.5 147.6 130.3 52.3 13.9 11.8 18.7 9.9 1.0 0.2 na na 0.1
2000 153.4 262.8 294.8 167.3 149.2 54.6 14.6 6.9 5.0 1.3 0.6 na na 0.2
2001 363.6 51.5 177.4 160.6 85.1 62.1 19.1 2.7 0.8 0.6 0.3 na na 0.1
2002 19.2 209.1 61.4 106.2 101.1 71.3 36.6 9.4 1.2 0.8 0.6 na na 0.0
2003 1505.0 52.5 306.7 116.8 127.1 146.1 67.7 23.5 3.8 0.4 0.1 na na 0.2
2004 161.2 117.2 33.4 85.2 34.9 45.6 48.0 21.7 8.8 2.4 0.2 na na 0.7
2005 499.7 138.7 125.0 33.3 69.3 34.1 43.8 18.0 7.5 1.8 0.1 na na 0.3
2006 411.2 158.0 64.8 53.8 18.6 42.0 17.6 15.9 8.7 2.3 0.3 na na 1.0
2007 85.1 47.1 58.5 30.4 30.8 12.9 46.6 15.1 8.0 3.3 0.9 na na 0.4
2008 50.9 94.2 199.9 288.7 116.6 78.9 24.8 35.2 5.5 2.8 1.7 na na 0.7
2009 204.9 25.5 107.8 182.5 141.5 56.0 41.5 12.8 26.6 3.6 1.7 na na 0.4
2010 620.3 43.6 22.8 88.0 161.4 175.0 61.8 31.4 10.8 12.5 4.0 2.0 0.9 2.9
2011 266.0 91.0 40.4 28.3 67.4 159.5 272.7 64.5 23.3 6.8 7.5 0.4 0.5 0.9
2012 496.5 40.2 82.8 49.4 34.4 89.5 226.6 133.5 25.7 10.4 3.8 1.8 1.0 2.8
2013 313.1 89.2 60.6 84.5 72.4 54.1 133.6 233.8 161.7 21.5 11.1 5.5 3.2 8.8
2014 1758.6 211.0 286.9 124.2 111.5 77.7 55.3 149.0 173.9 98.0 14.6 6.8 3.8 10.5
2015 1903.5 211.4 138.7 235.6 130.0 144.2 96.4 49.8 96.9 68.6 32.5 6.6 6.1 12.7
2016 240.8 201.9 56.3 76.9 119.9 66.4 59.4 40.9 35.6 56.5 34.4 17.6 11.0 28.6
2017 439.4 73.3 111.5 42.4 44.4 74.2 48.6 48.4 26.8 16.7 14.6 15.1 7.8 23.0
2018 2057.6 280.3 109.0 149.9 54.0 58.4 77.5 45.6 19.3 14.1 6.1 6.0 7.8 13.7
2019 1437.2 362.4 203.6 125.4 144.6 63.9 49.3 73.9 27.3 21.8 6.5 2.9 8.1 11.1
2020 92.7 157.9 117.3 117.3 81.9 94.3 50.6 50.9 49.5 19.5 8.4 2.6 5.4 8.0
2021 45.9 28.5 64.9 59.1 55.8 40.2 36.9 16.3 11.4 14.3 8.2 1.9 1.6 3.4
2022 524.7 43.4 29.4 53.0 57.0 50.4 47.5 34.5 11.6 6.8 5.3 2.2 1.8 3.9
2023 244.4 103.2 28.7 26.5 33.6 34.6 27.8 18.3 13.5 3.2 1.7 0.8 0.7 1.5
2024 328.4 201.0 150.7 51.0 29.9 28.6 30.4 26.5 18.5 5.9 1.1 0.1 0.1 0.2
2025 199.0 106.1 130.4 153.3 54.9 27.5 24.1 21.3 10.9 3.9 1.5 0.5 0.2 0.7
2026 293.1 32.4 25.3 69.1 94.1 40.8 22.3 17.7 15.6 6.4 2.1 0.5 0.1 0.6
Table A13. Northeast Arctic COD. Sum of acoustic abundance estimates (millions) in the Joint winter Barents Sea survey (Table A2) and the Norwegian Lofoten acoustic survey (Table A4).
Year 0 1 2 3 4 5 6 7 8 9 10 11 12 13+
2004 543.0 330.6 329.7 147.7 421.5 150.2 79.8 40.2 10.1 2.2 0.5 0.1 0.1 0.1
2005 180.2 440.7 146.6 216.6 55.8 100.9 28.0 15.6 5.7 1.2 0.5 0.1 0.0 0.1
2006 276.0 479.0 509.7 186.1 205.6 59.9 69.8 17.6 8.1 2.6 0.6 0.2 0.0 0.0
2007 101.0 333.3 505.4 586.2 159.2 79.1 24.6 26.9 6.0 2.2 0.9 0.1 0.2 0.0
2008 483.4 130.9 372.6 652.6 483.4 132.3 51.1 12.8 17.5 3.3 0.9 0.2 0.2 0.2
2009 903.3 569.7 93.5 202.3 280.6 289.6 101.7 31.9 12.7 7.3 2.6 0.8 0.3 0.2
2010 652.6 310.3 84.2 56.8 177.0 397.2 424.9 142.7 38.5 10.5 6.8 1.6 0.3 0.3
2011 2083.0 509.8 160.0 123.6 101.5 240.2 300.4 178.4 32.3 7.7 1.8 1.3 0.6 0.3
2012 1412.7 1454.3 255.9 229.1 146.4 70.0 150.8 165.2 84.5 12.7 4.4 1.6 1.4 0.6
2013 2281.8 914.2 659.0 249.1 183.6 125.7 63.2 118.2 130.2 53.8 9.1 3.3 1.5 0.9
2014 2445.2 308.2 155.1 190.0 108.6 93.9 52.8 30.4 50.2 36.3 12.1 3.4 1.0 1.4
2014 * 2445.2 339.0 184.0 226.3 122.2 103.4 67.7 42.1 81.3 78.9 28.1 4.7 1.3 1.5
2015 350.9 725.3 154.0 174.4 225.2 141.3 72.6 48.6 26.2 35.3 26.6 7.9 1.7 1.0
2016 1164.8 350.8 341.3 77.2 93.7 121.6 70.1 44.4 27.2 13.8 13.2 5.4 1.7 1.4
2017 2316.3 757.5 260.6 375.0 141.5 104.9 120.9 62.6 28.0 11.2 6.4 4.4 4.5 2.7
2018* 1841.2 2100.3 413.8 183.6 148.9 60.0 37.6 57.1 20.2 14.4 5.8 3.6 3.5 2.8
2019 313.4 560.2 475.2 416.6 232.3 215.1 76.6 42.2 44.4 16.1 4.9 2.2 1.1 1.8
2020** 115.6 63.5 106.3 139.5 135.6 93.4 82.9 30.8 14.2 10.7 3.1 1.0 0.5 1.0
2021 749.1 62.1 51.2 84.7 99.8 81.1 45.7 33.6 12.4 4.7 5.0 2.4 1.0 0.7
2022*** 399.2 218.2 39.6 25.6 32.8 34.4 33.8 18.6 9.8 2.5 0.8 0.5 0.1 0.2
2023 359.7 322.1 275.2 69.9 40.1 57.1 52.7 45.0 23.3 9.3 2.2 0.8 0.6 0.3
2024 300.9 226.0 237.0 234.4 68.2 46.8 41.0 29.0 14.5 7.7 2.5 0.6 0.2 0.1
2025 601.4 154.6 109.5 169.2 181.0 45.3 22.3 21.0 15.2 6.4 2.2 1.2 0.0 0.1
Table A14. Swept area estimates (millions) of Northeast Arctic Cod from the Joint Norwegian- Russian ecosystem survey in August-September (2020 data are taken from WD 01 AFWG 2021).

*data adjusted taking into account not complete area coverage

** revised

*** incomplete and unsynoptic coverage

Year 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
2004   30 127 415 823 1464 2448 3266 4608 6323 9444 18331 13830 - 15924      
2005   37 162 428 985 1723 2553 3697 4808 5958 8583 7662 - 8799 -      
2006   39 155 473 1068 1759 2723 3725 5220 6798 10769 8904 9520 - -      
2007   52 173 523 1237 2078 3004 4163 5860 7638 11251 - 12683 - 15529      
2008   39 193 511 1154 1958 3187 4262 5793 7741 9563 12039 11149 16320 -      
2009   29 164 462 989 1614 2453 4034 5313 6334 7595 8221 12001 12040 -      
2010   37 152 470 946 1634 2551 3801 5381 6921 7986 9063 8868 13406 19217      
2011   35 143 419 991 1672 2523 3500 4812 6826 9403 12623 10379 10945 -      
2012   34 149 418 904 1634 2388 3276 4344 6466 8459 9798 11181 14621 10895      
2013   28 129 429 918 1553 2249 3230 4443 5805 8454 9817 12531 14308 17723      
2014   28 148 374 897 1684 2244 3501 4511 5933 7183 7894 11979 7602 13250      
2015   28 149 414 823 1483 2297 3219 4490 5635 6962 8478 12148 10385 15370      
2016   45 162 527 914 1563 2308 3324 4492 6472 7476 8689 10939 7485 16645      
2017   37 185 441 953 1660 2414 3398 4821 5876 7173 8345 9968 12765 12445      
2018   - - - - - - - - - - - - - -      
2019   28 103 386 899 1458 2208 3369 4508 6355 7734 9351 9147 11394 11403      
2020   38 125 343 864 1514 2311 3204 4609 6020 7589 8685 10474 12242 13537 10724 14504 19800
2021   41 200 359 714 1278 2224 3196 4482 6355 7527 9165 10910 12089   15930 17193  
2022*   33 171 499 828 1451 2415 3688 5088 7208 7524 12754 9535       17880  
2023   37 152 584 899 1533 2331 3371 5354 6170 7201 9392 9284 8430 15030      
2024   32 129 443 996 1763 2518 3436 4553 6207 5245 **              
2025   34 121 382 872 1615 2351 3275 4800 6408 6807 8581            
Table A15. Mean weight at age of cod (g), data from bottom trawls Barents Sea Ecosystem survey. StoX calculations.

*revised

** Biofox value -> 6454 was used for calculation of combined WEST data for this age group

Year/age 1 2 3 4 5 6 7 8 9 10 11
1985 0.02 0.171 0.576 1.003 2.018 3.386 4.696 6.636 8.245 10.321 14.290
1986 0.02 0.119 0.377 0.997 1.645 3.010 4.488 6.518 4.218 0.000 13.480
1987 0.021 0.065 0.23 0.49 1.390 2.155 3.913 5.438 0.322   12.550
1988 0.024 0.114 0.241 0.492 0.907 2.116 3.269 4.937 3.635 13.640  
1989 0.016 0.158 0.374 0.604 0.948 1.581 2.762 4.791 8.835 8.582  
1990 0.026 0.217 0.58 1.009 1.436 2.010 2.716 3.995 5.425 8.992  
1991 0.018 0.196 0.805 1.364 2.067 2.764 3.532 4.945 7.401 11.645 5.350
1992 0.02 0.136 0.619 1.118 1.994 2.808 3.975 5.376 6.352 8.034 9.500
1993 0.009 0.071 0.415 1.179 1.745 2.675 3.686 5.399 6.280 7.680 9.280
1994 0.013 0.056 0.262 0.796 1.557 2.624 4.181 5.846 6.675 7.966 7.778
1995 0.015 0.054 0.24 0.658 1.364 2.565 4.124 5.326 7.379 9.895 9.738
1996 0.015 0.062 0.232 0.627 1.098 2.094 3.742 5.586 7.866 10.057 10.502
1997 0.013 0.052 0.23 0.638 1.185 1.918 3.433 5.515 8.889 10.408 12.405
1998 0.011 0.052 0.28 0.635 1.183 1.731 2.667 4.362 7.259 10.577 11.657
1999 0.014 0.059 0.231 0.592 1.180 1.964 2.978 4.200 5.980 8.848 9.642
2000 0.016 0.074 0.21 0.558 1.222 2.001 3.064 3.862 5.365 6.471 8.379
2001 0.014 0.106 0.336 0.646 1.319 2.371 3.257 5.078 6.186 10.084 10.558
2002 0.014 0.067 0.238 0.747 1.244 2.199 3.344 4.669 6.554 8.078 9.277
2003 0.013 0.061 0.234 0.597 1.335 2.080 3.207 4.643 6.206 7.649 17.062
2004 0.011 0.059 0.275 0.608 1.177 2.083 2.870 4.411 5.889 7.752 9.310
2005 0.013 0.061 0.246 0.723 1.166 2.068 3.114 3.852 5.877 8.538 14.573
2006 0.013 0.069 0.28 0.669 1.421 2.083 3.009 4.212 5.501 6.881 7.646
2007 0.019 0.073 0.235 0.639 1.351 2.334 3.340 4.923 6.598 9.649 11.132
2008 0.015 0.09 0.335 0.798 1.402 2.482 3.282 5.015 6.863 8.598 7.822
2009 0.013 0.083 0.294 0.704 1.320 2.302 4.089 5.152 6.611 9.391 8.657
2010 0.012 0.064 0.304 0.7 1.300 2.082 3.251 4.951 6.366 8.095 9.757
2011 0.015 0.066 0.246 0.668 1.146 2.050 2.830 4.367 6.592 8.681 9.647
2012 0.013 0.062 0.252 0.609 1.295 1.792 2.664 3.827 5.551 8.373 11.741
2013 0.011 0.065 0.269 0.602 1.212 2.163 2.988 4.103 5.292 7.782 9.842
2014 0.008 0.05 0.246 0.603 1.228 1.804 3.121 3.975 5.015 6.018 7.575
2015 0.01 0.044 0.242 0.602 1.227 1.936 2.849 4.015 4.981 6.630 8.187
2016 0.013 0.053 0.2 0.593 1.051 1.936 2.835 4.240 6.315 7.431 8.541
2017 0.015 0.102 0.292 0.72 1.181 2.024 3.026 4.363 5.817 7.223 8.405
2018 0.012 0.069 0.32 0.688 1.251 2.099 2.890 4.246 5.893 7.356 9.512
2019 0.012 0.048 0.273 0.685 1.165 1.908 3.139 4.384 5.833 7.221 8.788
2020 0.014 0.044 0.153 0.548 1.089 1.729 2.650 4.133 5.633 7.455 8.566
2021 0.014 0.068 0.164 0.462 0.918 1.721 2.696 3.807 5.916 7.314 8.762
2022 0.011 0.077 0.311 0.535 1.061 1.801 2.953 4.079 5.915 8.126 9.399
2023 0.012 0.071 0.316 0.694 1.113 1.782 2.997 4.330 5.537 6.824 9.661
2024 0.012 0.057 0.289 0.701 1.133 1.876 2.666 3.991 5.262 6.370 9.367
2025 0.013 0.051 0.217 0.648 1.176 1.781 2.700 3.598 5.184 6.370 7.983
2026 0.011 0.053 0.195 0.488 0.999 1.804 2.659 3.636 5.602 7.033 7.982
Table A 16. Mean weight at age of cod (k g), combined data from winter survey and Lofoten survey.

4. Haddock in subareas 1 and 2 (Northeast Arctic)

4.1 Introductory note

On 30th March 2022 all Russian participation in ICES was suspended. Due to the temporary suspension of Russian scientists from ICES in 2022 and the Russian withdrawal from ICES in 2025, this year’s assessment was as in 2022-2025 conducted by a Joint Russian-Norwegian Arctic Fisheries Working Group (JRN-AFWG) consisting of scientists from VNIRO (Russia) and IMR (Norway). The ICES AFWG 2026 report chapter on haddock was therefore not updated. In the present report, we have kept the main structure of the NEA haddock chapters in ICES AFWG reports from the last years.

4.2 Status of the fisheries

4.2.1 Historical development of the fisheries

Haddock is fished by trawl as bycatch in the fishery for cod. Also, a directed trawl fishery for haddock is conducted. The proportion of the total catches taken by direct fishery varies between years. On average approximately 70% of the catches are taken by trawl. Norway takes about half of the quota with other gear, in particular long line and Demersal seine. Demersal has become more important in the Norwegian fisheries the last 10 years. Some of the longline catches are from a directed fishery, which is restricted by national quotas. In the Norwegian management, the quotas are set separately for trawl and other gears. The fishery is also regulated by a minimum landing size (40 cm), a minimum mesh size in trawls and Demersal seine, a maximum bycatch of undersized fish, closure of areas with high density/catches of juveniles and other seasonal and area restrictions.

The exploitation rate of haddock has been variable. The highest fishing mortalities for haddock have occurred at low to intermediate stock levels. However, the more restrictive quota regulations introduced around 1990 have resulted in a more stable pattern in the exploitation rate.

The exceptionally strong year classes 2005–2006 contributed to the strong increase to all-time high stock levels and high catch levels in the last decade. Their importance in the catches is currently minimal. Currently, the 2021 year-class dominated the catches, with 26% of the total catch in weight in 2025, with the 2017, 2018 and 2020 year-classes contributing 16%, 18% and 16%, respectively. The strong 2016 year class constituted 6% of the catches in 2025, the contribution by older fish was negligible.

 4.2.2 Catches prior to 2026 (Table 4.1–Table 4.3, Figure 4.1)

Provisional official landings for 2025 are about 127 kt, which is slightly below the agreed TAC (130 kt) but 19% above the advice (107 kt).

The highest landings of haddock historically were 322 kt in 1973. Since 1973 the highest catches observed was 316 kt in 2012. The landings in 2018-2025 were below 200 kt (Figure 4.1).

In 2006 it was decided to include reported Norwegian landings of haddock from the Norwegian statistical areas 06 and 07 (i.e. between 62°N and Lofoten Islands). These areas were not previously included in the total landings of NEA haddock as input for this stock assessment (ICES CM 2006/ACFM:19; ICES CM 2006/ACFM:25).

Estimates of unreported catches (IUU catches) of haddock have been added to reported landings for the years from 2002 to 2008. Two estimates of IUU catches were available, one Norwegian and one Russian. At the benchmark in 2011 it was decided to base the final assessment on the Norwegian IUU estimates (ICES CM 2011/ACOM:38; Table 4.1).

We continue to include the estimates of IUU catches 2002–2008. The IUU catches are assumed to be negligible for the period 2009–2025 and therefore set to zero.

4.2.3 Catch advice and TAC for 2026

The catch advice for 2026 was 153 293 tonnes - following the Harvest Control Rule, and a F of 0.35 – an increase of 43% from the advice the year before, and 18% from the agreed TAC. The Joint Norwegian-Russian Fisheries Commission set the TAC equal to the advice. Russia and Norway can transfer the unused part of their own quota, restricted to a maximum of 10% of own quotas from 2025 to 2026.

4.3 Status of research

4.3.1 Survey results

Russia provided indices for 1982–2015 and 2017 for the Barents Sea trawl and acoustic survey (TAS) which was carried out in October–December (FLT01, RU-BTr-Q4). The survey was discontinued in 2018.

The Joint Barents Sea winter survey provides two index series used for tuning and recruitment forecast (bottom trawl: FLT02, NoRu-BTr-Q1 and acoustics: FLT04, NoRu-Aco-Q1). The survey area has been extended from 2014 with additional northern areas (N) covered. The extended area is now included in total and standard survey index calculations for haddock (WKDEM 2020) and is done using the StoX software (Johnsen et al. 2019). Overall, this survey tracks both strong and poor year classes well. The indices from the Joint winter survey of cod and haddock in the Barents Sea are provided in the annual survey reports from this survey (e.g., Fall et al. 2023). In 2026, the survey coverage was good.

The Joint Barents Sea ecosystem survey provides indices by age from bottom trawl data ( FLT007, Eco-NoRu-Q3 Btr) used for tuning and recruitment forecast. At the benchmark in 2011 it was decided to include this survey as tuning series. Tuning indices by age from the Joint ecosystem survey is calculated using the BIOFOX programme (Prozorkevich and Gjøsæter 2014). The survey covered the distribution of haddock well in 2025. The estimates for cod and haddock are provided to the group as an excel file.

The survey indices for ages used in tuning can be found in Table 4.9, and the survey indices used in recruitment forecast can be found in Table 4.16.

4.4 Data used in the assessment

4.4.1 Catch-at-age (Table 4.4)

Relevant data of estimated catch-at-age was obtained from InterCatch for the period 2008–2020 and is presented together with historical values from 1950–2007 in Table 4.4. Catch at age from 2021 to 2025, instead of using InterCatch, the same algorithm was realized in Excel. Excel was used for comparison with InterCatch for data 2008-2020, and no differences between InterCatch and Excel allocations were detected.

Age and length composition of the landings in 2025 were available from Norway and Russia in Subarea 1, Division 2.a and 2b. Norwegian catch at age data was calculated using StoX-R Eca. International landings data were downloaded from https://data.ices.dk/ except for Belarus that reports directly to Russian authorities. The biological sampling of NEA haddock catches is considered good for the most important ages in the fisheries.

4.4.2 Catch-weight-at-age (Table 4.5)

The mean weight-at-age in the catch was obtained as a weighted average of the weight-at-age in the catch from Norway and Russia.

4.4.3 Stock-weight-at-age (Table 4.6)

Since 1983 the stock weights-at-age (Table 4.6) are calculated using the average of the weight-at-age estimate from the Joint Barents Sea winter survey and the Russian bottom trawl survey. These averages are assumed to give representative values for the beginning of the year (see stock annex for details). However, the Russian bottom trawl survey has been discontinued and therefor stock weights-at-age were calculated using a correction factor (WKDEM 2020). Since the benchmark in 2006 stock weight at age has been smoothed (ICES 2006, see stock annex for details).

4.4.4 Maturity-at-age (Table 4.7)

Since the benchmark 2006, smoothed estimates were produced separately for the Russian autumn survey and the Joint winter survey and then combined using arithmetic average. These averages are assumed to give representative values for the beginning of the year. However, the Russian bottom trawl survey has been discontinued and therefore stock weights-at-age were calculated using a correction factor (see WKDEM 2020, see stock annex for details).

4.4.5 Natural mortality (Table 4.8)

Natural mortality used in the assessment was 0.2. For ages 3–6 mortality predation by cod is added (see stock annex). For the period from 1984 and onwards actual estimates of predation by cod was used. For the years 1950–1983 the average natural mortality for 1984–2025 was used (age groups 3–6). Estimated mortality from predation by cod in this year’s assessment is based on the ‘final run’ cod assessment. The proportion of F and M before spawning was set to zero.

4.4.6 Data for tuning (Table 4.9)

The following survey series are included in the data for tuning, the last age for all surveys is the plus group. Data are lacking (no survey) for FLT01 in 2016, and for FLT007 in 2018 and 2022 (not included due to poor/not synoptic coverage).

Name Acronym Place Season Age Year prior weight
FLT01: Russian bottom trawl RU-BTr-Q4 Barents Sea October–December 3–8+ 1991–2017 1
FLT02: Joint Barents Sea survey–acoustic BS-NoRU-Q1(Aco) Barents Sea February– March 3–9+ 1993–2026 1
FLT04: Joint Barents Sea survey–bottom trawl BS-NoRu-Q1 (BTr) Barents Sea February– March 3–10+ 1994–2026 1
FLT007: Joint Russian-Norwegian ecosystem autumn survey in the Barents Sea–bottom trawl Eco-NoRu-Q3 (Btr) Barents Sea August–September 3–9+ 2004–2025 1

4.4.7 Changes in data from last year (Table 4.6–Table 4.7, Table 4.9)

At the benchmark (WKDEM 2020) it was decided that historic values (1950–1993) of stock weight and maturity should not be updated in the following years. Due to the smoothing procedure (see stock annex) the stock weight and maturity at age back to 1994 are updated every year.

Natural mortality includes cod predation for the ages 3–6. The data from 1984 and onwards are updated every year after the update of the cod assessment. The averages from 1994-2025 are used for the historic period (1950–1983) and were updated and used in the assessment.

4.5 Assessment models and settings (Table 4.10)

At the benchmark in 2020 it was decided to continue using the SAM model as the main model.

The SAM configuration was revised during the benchmark in 2020. The main changes to the configuration were to include:

1) age group 3 in the winter survey indices (Fleet 02 and 04),

2) plus group in all survey series (new option in SAM),

3) prediction variance link for the observation variances (new option in SAM, Breivik et al., 2021) 4) correlation structure in observation variance for the surveys (Berg and Nielsen, 2016).

The configuration, settings and tuning of SAM that were decided on during the benchmark (WKDEM 2020) were used in the current assessment. The configuration file is given in Table 4.10 and in the stock annex.

XSA, with revised settings, and TISVPA are both used as additional models for comparison.

4.6 Results of the assessment (Table 4.11–Table 4.14 and Figure 4.1–Figure 4.3)

The man feature of the assessment is that the stock reached an all-time high level around 2011 due to the strong 2004–2006 year-classes combined with reduced fishing pressure. Since then, the stock has declined (Table 4.11; Figure 4.1).

The estimated SSB is higher than the SSB in 2026, which was the lowest since 2003 but below the long-term average. The estimate of SSB for 2026 is 165kt which is above MSY Btrigger = 80kt (Figure 4.1). The residuals and retrospective patterns are shown in Figure 4.2 and 4.3.

Fbar increased from 2013 to 2021 and has been over Fmsy since 2017.

4.7 Comparison with last year’s assessment (Figure 4.4)

The text table below compares this year’s estimates with last year’s estimates. Compared to last year, the current estimate of the total stock (TSB) in 2025 was almost identical to the estimate from 2025 whereas the spawning stock (SSB) estimate is 6% higher. Fbar in 2024 was lower compared to last year’s assessment. Current estimates for 2025 for ages 3-4 and 9-13? were lower compared to last year’s assessment. The estimates of ages 5-8 were higher resulting in higher 2025 SSB estimates compared to last year’s assessment. The weak 2018 and 2019 year-classes were estimated to be 55% and 24% stronger in 2025 in this year’s assessment compared to last year’s. Ratios are calculated on original numbers (not rounded as shown in table).

Assessment year, model F 2024 Numbers 2025 (ages) SSB (2025) TSB (2025)
3 4 5 6 7 8 9 10 11 12 13+
2026 SAM 0.43 494847 278704 63352 20775 34143 28195 12070 1569 492 245 469 157942 494692
2025 SAM 0.47 532133 282978 58948 13390 27447 24704 15639 2125 664 312 585 149209 493213
2026/2025 SAM 0.91 0.93 0.98 1.07 1.55 1.24 1.14 0.77 0.74 0.74 0.79 0.80 1.06 1.00

Additional assessment methods (Table 4.15, Figure 4.5–Figure 4.6)

4.7.1 XSA (Figure 4.5)

The Extended Survivors Analysis (XSA) was used to tune the VPA by available index series. As last years, FLR was used for the assessment of haddock (see stock annex), and thus all results concerning XSA are obtained using FLR. The settings used were the same as set in the benchmark in 2015 (WKARCT 2015). At this meeting the comparison confirmed that usage XSA with survivor estimate shrinkage 0.5 gave similar result to the estimates from SAM.

The estimated consumption of NEA haddock by NEA cod is incorporated into the XSA analysis by first constructing a catch number-at-age matrix, adding the numbers of haddock eaten by cod to the catches for the years where such data are available (1984–2025). The summary of XSA stock estimates with shrinkage value 0.5 are presented in Table 4.15. A retrospective estimate for XSA gave same signals as for the main model SAM (Figure 4.5 and 4.6).

4.7.2 TISVPA (Figure 4.5)

The TISVPA (Triple Instantaneous Separable VPA) model (Vasilyev 2005, 2006) represents fishing mortality coefficients (more precisely – exploitation rates) as a product of three parameters: f(year)*s(age)*g(cohort). The generation‐dependent parameters, which are estimated within the model, are intended to adapt traditional separable representation of fishing mortality to situations when several year classes may have peculiarities in their interaction with fishing fleets caused by different spatial distribution, higher attractiveness of more abundant schools to fishers, or by some other reasons. The TISVPA model was presented at benchmark groups for haddock stock (WKARCT 2015, WKDEM, 2020) and it was decided to apply to NEA haddock using the same data as SAM except that natural mortality values from cannibalism were taken from the SAM runs. All the input data, including catch-at-age, weight-at-age in stock and in catches, maturity-at-age were the same as used in SAM. All results of model run presented in WD #7. Generally, the biomass estimates of this model were higher than SAM estimates, which can be explained by different assumptions about catchability of indices. The retrospective pattern for TISVPA shows the same trends as both the SAM and XSA models (Figure 4.5).

4.7.3 Model comparisons (Figure 4.6)

Results from SAM, XSA and TISVPA are compared in Figure 4.6. Comparison of results of SAM, TISVPA and XSA with previous year settings shows that the models estimate similar trends. The TISVPA model is more flexible for settings than the others and taking into account a possible decrease in survey data consistency, it was attempted to do tuning of surveys not at abundance but to age proportions because of the probable change in effective survey catchability.

4.8 Predictions, reference points and harvest control rules (Table 4.16–Table 4.21)

4.8.1 Recruitment (Table 4.16–Table 4.17)

Recruitment at age 3 of the 2023 year-class in 2026 was estimated to 287 millions using SAM. The SAM estimates have been used for intermediate year predictions since the benchmark in 2020. RCT3 (R version) estimated this year class to be 319 millions. The RCT3 program (R version) was used to estimate the recruiting year classes 2024–2025 in 2027 and 2028 used in the forecast with survey data from the ecosystem survey and winter survey (acoustics and bottom trawl). Input data and results are shown in Tables 4.16 and 4.17, respectively.

The text table below shows the recruitment estimates for the year classes 2013–2025 from assessments and RCT3 forecasts (shaded cells). In the most recent years, it is noticeable that the 2018 year-class was less than 50% of the initial RCT3 estimate. The SAM estimates for the 2019-2022 year-classes were higher than the RCT3 estimates, whereas the 2023 year-class is weaker estimated with the SAM in 2023 compared to RCT3 forecasts. The correlation between SAM estimate at age 3 for the year-classes 2017-2023 year compared to the RCT3 forecast for the quota year was r2 =0.65.

Year Class    
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026
2013 255 235 184 174 177 219 213 215 211 206 207 207
2014 248 247 193 146 148 202 195 198 195 191 193 193
2015   422 386 333 336 384 367 370 362 353 354 355
2016     996 933 930 875 821 831 804 775 776 785
2017       576 629 497 441 449 432 414 415 417
2018         344 294 158 164 162 154 156 156
2019           39 26 38 45 45 45 45
2020             88 89 157 164 166 173
2021               303 372 469 428 439
2022                 231 353 532 495
2023                   340 385 287
2024                     649 594
2025                       284

4.8.2 Prediction data (Table 4.18, Figure 4.7)

The input data for the prediction are presented in Table 4.18.

Stock numbers for 2027–2028 at age 3 are taken from RCT3, and abundance-at-ages 3–13+ in 2026 from the SAM assessment.

The average fishing pattern observed in 2023–2025 scaled to F in 2025 was used for distribution of fishing mortality-at-age for 2026–2028 (Figure 4.7). The proportion of M and F before spawning was set to 0.

Input data to projection of weight at age in the stock, weight at age in the catch, maturity and mortality followed the stock annex (WKDEM, 2020).

4.8.3 Biomass reference points (Figure 4.1)

Biological and fisheries reference points for NEA haddock were last set following a thorough analysis as part of the WKNEAMP-2 (ICES, 2016) harvest Control Rule evaluation in 2016. The revised model developed during the 2020 benchmark produced better fits to the data but only a small change in the reconstructed stock (WKDEM, 2020). A brief analysis at WKDEM 2020 indicated that the reference points from the current model are very similar to the previously estimated values. Given the more thorough analysis at WKNEAMP-2 (ICES, 2016), this is taken as indicating that there was no evidence to deviate from the reference points set in 2016.

At the last benchmark (WKDEM 2020) it was proposed to keep Blim = 50 000 t and Bpa = 80 000 t with the rationale that Blim is equal to Bloss, and Bpa = Blim*exp (1.645*σ), where σ = 0.3. This gives a 95% probability of maintaining SSB above Blim taking into account the uncertainty in the assessments and stock dynamics. BMSY trigger was proposed equal to Bpa, Btrigger was then selected as a biomass that is encountered with low probability if FMSY is implemented, as recommended by WKFRAME2 (ICES CM 2011/ACOM:33). Values of reference points compared with current stock values are reflected in Figure 4.1.

4.8.4 Fishing mortality reference points (Figure 4.1)

Biological and fisheries reference points for NEA haddock were last set following a thorough analysis as part of the WKNEAMP-2 (ICES, 2016) Harvest Control Rule evaluation in 2016. The revised model developed during the 2020 benchmark produced better fits to the data but only a small change in the reconstructed stock (ICES WKDEM 2020). A brief analysis at WKDEM 2020 indicated that the reference points from the current model are very similar to the previously estimated values. Given the more thorough analysis at WKNEAMP-2 (ICES, 2016), this is taken as indicating that there was no evidence to deviate from the reference points set in 2016.

There is no standard method of estimating Flim nor Fpa, and ACOM accepted to use geometric mean recruitment (146 million) and Blim as basis for the Flim estimate. Flim is then based on the slope of line from origin at SSB = 0 to the geometric mean recruitment (146 million) and SSB = Blim. The SPR value of this slope give Flim value on SPR curve; Flim = 0.77 (found using Pasoft). Using the same approach as for Bpa; Fpa = Flim *exp(-1.645* σ ) = 0.47.

FMSY  = 0.35 has been estimated by long-term stochastic simulations. Values of reference points compared with current stock values are reflected in Figure 4.1.

The estimates of cod’s consumption of haddock were revised following the cod benchmark in early 2021. At the AFWG 2021 meeting, the haddock FMSY was checked with the new updated mortality estimates and found to still be valid and precautionary.

4.8.5 Harvest control rule

The harvest control rule (HCR) was evaluated by ICES in 2007 (ICES CM 2007/ACFM:16) and found to be in agreement with the precautionary approach. The agreed HCR for haddock with last modifications is as follows (Protocol of the 40th Session of The Joint Norwegian Russian Fisheries Commission (JNRFC), 14 October 2011):

  • TAC for the next year will be set at level corresponding to FMSY.

  • The TAC should not be changed by more than +/- 25% compared with the previous year TAC.

  • If the spawning stock falls below Bpa, the procedure for establishing TAC should be based on a fishing mortality that is linearly reduced from FMSY at Bpa to F = 0 at SSB equal to zero. At SSB-levels below Bpa in any of the operational years (current year and a year ahead) there should be no limitations on the year-to-year variations in TAC.

As mentioned above Flim and Fpa were revised in 2011. The new values of Flim = 0.77 and Fpa = 0.47 are higher than the previous values (0.49 and 0.35, respectively). In the 2012 meeting of the JNRFC the proposals of ICES were accepted, and the current HCR management is based on FMSY instead of Fpa. This corresponds to the goal of the management strategy for this stock and should provide maximum sustainable yield.

In 2014, JNRFC decided that from 2015 onwards, Norway and Russia can transfer to next year or borrow from last year maximum 10% of the country’s quota. At its 45th session in October 2015, the Joint Norwegian-Russian Fisheries Commission (JNRFC) decided that a number of alternative harvest control rules (HCRs) for Northeast Arctic haddock should be evaluated by ICES. This was done by WKNEAMP (ICES 2015/ACOM:60, ICES C. M. 2016/ACOM:47). Six HCRs for NEA haddock including the existing one were tested. At its 46th session in October 2016, the JNRFC decided not to change the HCR. Prediction results and catch options for 2026 (Table 4.19–Table 4.20). The current HCR was evaluated in 2025 and presented in 2026 (see WD#3) and found to be precautionary. While the current HCR remains precautionary, a more better alternative has been identified. This modified rule, similar to the current one but without the ±25% interannual TAC change restriction, demonstrates several advantages: higher average catches, significantly lower recruitment overfishing risk, and reduced interannual catch variability. This alternative HCR variant can therefore be recommended for consideration in JRNFC. The projection shows an increase in SSB from 165 kt in 2026 to 187 kt in 2027 (Table 4.19). TAC constraint is used for 2026. The TAC set by the Joint Norwegian-Russian Fisheries Commission for 2026 was 153 kt, which was accordance with the HCR.

Catch options for 2027 are shown in the text table below (weights in tonnes).

Basis Total catch (2027) F ages 4−7 (2027) SSB (2028) % SSB change * % TAC change ** % Advice change ***
Advice basis
Management plan 180 336 0.35 209 354 12 18 18
Other scenarios            
MSY approach: FMSY 180 336 0.35 209 354 12 18 18
F = 0 0 0.00 299 789 60 -100 -100
F = F2025 193 832 0. 38 202 902 9 26 26
Fpa 230 101 0.47 185 822 -1 50 50

* SSB 2028 relative to SSB 2027.

** Catch in 2027 relative to TAC in 2026 ( 153 293 t)

*** Catch value for 2027 relative to advice value for 2026 (153 293 t)

Detailed information about expected catches by following the HCR in 2027 and 2028 is given in Table 4.20. The forecast covers all catches. It is then implied that all types of catches are to be counted against this TAC.

4.8.6 Comments to the assessment and predictions (Figure 4.2-4.4 and Figure 4.7- 4.8)

The one step ahead residuals did not show strong patterns (Figure 4.2). The leave one out analysis did not result in any large changes to the results.

The retrospective bias was reduced after the revision at the 2020 benchmark (WKDEM 2020). Mohn’s Rho has increased in the years following the benchmark, especially for SSB, but was somewhat lower for the assessment of this year, compared to that of last year (Figure 4.3). This year’s assessment was well aligned with the two previous assessments of R3, SSB and TSB, but the recruitment forecast for 2025 and 2026 showed deviations (Figure 4.4).

Retrospective bias (Mohn’s Rho), 5-year peel R SSB F TSB
AFWG 2018 3% 24% 7% 14%
AFWG 2019 5% 18% 7% 7%
WKDEM 2020 (Benchmark) 2% 3% 3% 1%
AFWG 2020 4% 3% 0% 5%
AFWG 2021 1% 6% 7% 3%
JRN_AFWG 2022 -2% 5% -6% 1%
JRN_AFWG 2023 0% 7% -6% 3%
JRN_AFWG 2024 4% 17% -13% 12%
JRN_AFWG 2025 2% 16% -12% 11%
JRN_AFWG 2026 -1% 11% -7% 7%

The 2015-2017 year-classes that have dominated the catches are now being fished out, and the following 2018-2020 year-classes are weak, so there are few older fish in the stock (Figure 4.8). The 2021 and 2022 year-classes are estimated to be above average, and the 2023 year-class about average. The incoming 2024 year-class is estimated as strong. However, abundance estimates and forecast for the youngest fish are highly uncertain.

The growth forecast of the youngest fish is highly uncertain. We have overpredicted the weight in the catch for the youngest fish in most years following the last benchmark, leading to too high quota advice, especially when the stock is dominated by younger fish. During this year’s meeting, we explored different ways to forecast the weight in catch, detailed in working documents 6 and 9 (Trochta et al. 2026 WD6, Solberg 2026 WD9). This work should be continued.

In the forecast from last year, 31% of the catches in 2025 were predicted to come from the 2021 year-class, and 11% from the 2022 year-class. The actual catches in 2025 of the youngest fish were lower, 26% and 6%, respectively, illustrating the difficulties in accurately forecasting selectivity.

Typically, haddock grows above the minimum catching size during the year when they are 4 years old. The selectivity pattern used in the forecast does not currently depend on the expected growth of a cohort and the proportion of fish by age above minimum catching size. The effect on the selectivity pattern of large incoming year-classes should be further explored in future method revision, as has been implemented for Icelandic haddock (ICES 2025).

Haddock typically matures when they are six years. A high proportion of the catches in 2026 and 2027 is predicted to be made up of immature fish, implying growth overfishing, so that a large proportion of the fish are caught before they reach the optimum catching size (Figure 4.8). This will result in a significant loss in overall yield.

All of this highlights the importance of how the short-term forecast is conducted. Therefore, there is a need for a mini-benchmark focusing on the forecast settings for NEA haddock.

In the forecast, 7% of the catches in 2027 are expected to come from the 2024 year-class. The 2023 year-class is expected to grow over the minimum catching size in 2027 and contribute 12% of the catches in 2027 (Figure 4.8). However, the accuracy of this prediction is highly dependent on the fishing pattern and growth of this year class. Given the current fishing pattern and the high proportion of young fish in the stock, we predict growth overfishing to occur in the incoming year-classes.

Following a request to report if the existing HCR for NEA haddock remained precautionary, an analysis was presented to JRN-AFWG in 2026 (Kovalev et al 2026, WD3). The same rules were tested, and the same tool was applied in testing as last comprehensive evaluation in 2016, but the input data was updated. The current rule with Fmsy=0.35 was still found to be precautionary. However, increasing F above Fmsy rapidly increases the risk of SSB to fall under Blim . Setting the quota over the advice as done recently in 2024 and 2025 lead to a high risk to the stock and should be avoided. Excluding the stability constraint from current rule increases long-term yield and stability of the catches in the long term and lower the risk of recruitment overfishing. Therefore, the JRN-AFWG recommends dropping the stability constraint.

4.9 References

Berg CW and Nielsen A. 2016. Accounting for correlated observations in an age-based state-space stock assessment model. ICES Journal of Marine Science, 73: 1788–1797.

Breivik ON, Nielsen A and Berg CW 2021. Prediction–variance relation in a state-space fish stock assessment model. ICES Journal of Marine Science, 78, 3650–3657

Fall, J., Wenneck, T. de Lange, Bogstad, B., Fuglebakk, E., Godiksen, J., Høines, E. Johannesen, Å., Korsbrekke, K., Skage, M. L., Staby, A., Tranang, C. Aa., Windsland, K., Russkikh, A. A., and Kharlin, S. 2023. Fish investigations in the Barents Sea winter 2023. IMR-PINRO Joint Report Series 1-2023, 100 pp.

ICES 2006a. ICES Workshop on Biological Reference Points for NorthEast Arctic Haddock (WKHAD). Svanhovd, Norway, 6-10 March 2006. ICES C.M. 2006/ACFM:19, 102 pp.

ICES 2006b. Report of the Arctic Fisheries Working Group, 19-28 April. 2006. ICES C.M. 2006/ACFM:25, 594 pp.

ICES 2007 in text but not here

ICES 2011. Report of the Benchmark Workshop on Roundfish and Pelagic Stocks, Lisbon 24-31 January 2011. ICES C.M. 2011/ACOM:38, 418 pp.

ICES 2015. Report of the first Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin ( WKNEAMP-1) , , . ICES CM 2015/ACOM:60, 27 pp.

ICES. 2015. Report of the Benchmark Workshop on Arctic Stocks (WKARCT), 26-30 January 2015, ICES Headquarters, Denmark. ICES CM 2015\ACOM:31. 126 pp.

ICES 2016. Report of the second Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin (WKNEAMP-2) , 25-28 January 2016, Kirkenes, Norway. ICES CM 2016/ACOM:47, 76 pp.

ICES 2020. Report of the Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 2:52. 577 pp.

ICES 2025. Workshop on the assessment and Management Plan Evaluation for Icelandic haddock and saithe (WKICEGAD). ICES Scientific Reports. 7:26. 161 pp. https://doi.org/10.17895/ices.pub.28444499

Johnsen E, Totland A, Skålevik Å, et al. 2019. StoX: An open source software for marine survey analyses. Methods in Ecology and Evolution 2019; 10: 1523 – 1528.https://doi.org/10.1111/2041-210X.13250

Kovalev, Yu.A., Russkikh, A.A., Johannesen, E. 2026. WD3. Evaluation of the NEA haddock HCRs. JRNAFWG 2026.

Prozorkevich D and Gjøsæter H 2014. WD2 cod BESS assessment. AFWG 2014.

Solberg, A. 2026. WD9. Exploring smoothing & short-term forecasts of catch weight. JRNAFWG 2026.

Trochta JT, Johannesen E and Solberg AC. 2026. WD6 Exploring smoothing & short-term forecasts of weight and maturity for NEA haddock. JRNAFWG 2026.

Vasilyev D. 2005 Key aspects of robust fish stock assessment. M: VNIRO Publishing, 2005. 105 p.

Vasilyev D. 2006. Change in catchability caused by year class peculiarities: how stock assessment based on separable cohort models is able to take it into account? (Some illustrations for triple‐separable case of the ISVPA model ‐ TISVPA). ICES CM 2006/O:18. 35 pp

Vasilyev D. 2026. WD 7 Update of NEA haddock stock assessment by means of TISVPA JRNAFWG 2026.

WKDEM 2020. Benchmark Workshop for Demersal Species (WKDEM). ICES Scientific Reports. 2:31. 136 pp. http://doi.org/10.17895/ices.pub.5548

Year Subarea 1 Division 2.a Division 2.b un-reported2) Total3) Norw. stat.areas 06 and 074)
1960 125026 27781 1844 - 154651 6000
1961 165156 25641 2427 - 193224 4000
1962 160561 25125 1723 - 187409 3000
1963 124332 20956 936 - 146224 4000
1964 79262 18784 1112 - 99158 6000
1965 98921 18719 943 - 118583 6000
1966 125009 35143 1626 - 161778 5000
1967 107996 27962 440 - 136398 3000
1968 140970 40031 725 - 181726 3000
1969 89948 40306 566 - 130820 2000
1970 60631 27120 507 - 88258 -
1971 56989 21453 463 - 78905 -
1972 221880 42111 2162 - 266153 -
1973 285644 23506 13077 - 322227 -
1974 159051 47037 15069 - 221157 10000
1975 121692 44337 9729 - 175758 6000
1976 94054 37562 5648 - 137264 2000
1977 72159 28452 9547 - 110158 2000
1978 63965 30478 979 - 95422 2000
1979 63841 39167 615 - 103623 6000
1980 54205 33616 68 - 87889 5098
1981 36834 39864 455 - 77153 4767
1982 17948 29005 2 - 46955 3335
1983 5837 16859 1904 - 24600 3112
1984 2934 16683 1328 - 20945 3803
1985 27982 14340 2730 - 45052 3583
1986 61729 29771 9063 - 100563 4021
1987 97091 41084 16741 - 154916 3194
1988 45060 49564 631 - 95255 3756
1989 29723 28478 317 - 58518 4701
1990 13306 13275 601 - 27182 2912
1991 17985 17801 430 - 36216 3045
1992 30884 28064 974 - 59922 5634
1993 46918 32433 3028 - 82379 5559
1994 76748 50388 8050 - 135186 6311
1995 75860 53460 13128 - 142448 5444
1996 112749 61722 3657 - 178128 5126
1997 78128 73475 2756 - 154359 5987
1998 45640 53936 1054 - 100630 6338
1999 38291 40819 4085 - 83195 5743
2000 25931 39169 3844 - 68944 4536
2001 35072 47245 7323 - 89640 4542
2002 40721 42774 12567 18736/5310 114798/101372 6898
2003 53653 43564 8483 33226/9417 138926/115117 4279
2004 64873 47483 12146 33777/8661 158279/133163 3743
2005 53518 48081 16416 40283/9949 158298/127964 5538
2006 51124 47291 33291 21451/8949 153157/140655 5410
2007 62904 58141 25927 14553/3102 161525/150074 7110
2008 58379 60178 31219 5828/- 155604/149776 6629
2009 57723 66045 76293 0 200061 4498
2010 62604 86279 100318 0 249200 3661
2011 86931 99307 123546 0 309785 4169
2012 90141 96807 128679 0 315627 3869
2013 68416 64810 60520 0 193744 4000
2014 61537 58320 57665 0 177522 3433
2015 75195 61567 57993 0 194756 3902
2016 78714 95140 59561 0 233416 3233
2017 94772 75455 57362 0 227589 2987
2018 80902 58522 51853 0 191276 4437
2019 87446 50967 36989 0 175402 2812
2020 98341 57397 26730 0 182468 3196
2021 109914 58006 36823 0 204743 2363
2022 85887 63415 27604 0 176906 2255
2023 92760 70916 15223 0 178899 2698
2024 70393 59778 9821 0 139992 3631
2025(1 50757 56863 19424 0 127044 1907
Table 4. 1 . Northeast Arctic haddock. Total nominal catch (t) by fishing areas.

1 ) Provisional figures, preliminary catches estimated by JRN AFWG in April 2026

2) Figures based on Norwegian/Russian IUU estimates. From 2009, IUU estimates are made by a Joint Russian-Norwegian analysis group under the Russian-Norwegian Fisheries Commission.

3) In 2002–2008, the Norwegian IUU estimates were used in final assessment.

4) Included in total landings and in landings in Division 2.a.

  Subarea 1 Division 2.a Division 2.b Unreported2
Year Trawl Others Trawl Others Trawl Others  
1967 73.7 34.3 20.5 7.5 0.4 - -
1968 98.1 42.9 31.4 8.6 0.7 - -
1969 41.4 47.8 33.2 7.1 1.3 - -
1970 37.4 23.2 20.6 6.5 0.5 - -
1971 27.5 29.2 15.1 6.7 0.4 - -
1972 193.9 27.9 34.5 7.6 2.2 - -
1973 242.9 42.8 14 9.5 13.1 - -
1974 133.1 25.9 39.9 7.1 15.1 - -
1975 103.5 18.2 34.6 9.7 9.7 - -
1976 77.7 16.4 28.1 9.5 5.6 - -
1977 57.6 14.6 19.9 8.6 9.5 - -
1978 53.9 10.1 15.7 14.8 1 - -
1979 47.8 16 20.3 18.9 0.6 - -
1980 30.5 23.7 14.8 18.9 0.1 - -
1981 18.8 17.7 21.6 18.5 0.5 - -
1982 11.6 11.5 23.9 13.5 - - -
1983 3.6 2.2 8.7 8.2 0.2 1.7 -
1984 1.6 1.3 7.6 9.1 0.1 1.2 -
1985 24.4 3.5 6.2 8.1 0.1 2.6 -
1986 51.7 10.1 14 15.8 0.8 8.3 -
1987 79 18.1 23 18.1 3 13.8 -
1988 28.7 16.4 34.3 15.3 0.6 0 -
1989 20 9.7 13.5 15 0.3 0 -
1990 4.4 8.9 5.1 8.2 0.6 0 -
1991 9 8.9 8.9 8.9 0.2 0.2 -
1992 21.3 9.6 11.9 16.1 1 0 -
1993 35.3 11.6 14.5 17.9 3 0 -
1994 58.6 18.2 26.1 24.3 7.9 0.2 -
1995 63.9 12 29.6 23.8 12.1 1 -
1996 98.3 14.4 36.5 25.2 3.4 0.3 -
1997 57.4 20.7 44.9 28.6 2.5 0.3 -
1998 26 19.6 27.1 26.9 0.7 0.3 -
1999 29.4 8.9 19.1 21.8 4 0.1 -
2000 20.1 5.9 18.8 20.4 3.7 0.1 -
2001 28.4 6.7 23.4 23.8 7 0.3 -
2002 30.5 10.2 19.5 23.3 12.5 0.1 18.7/5.3
2003 42.7 10.9 21.9 21.7 8.1 0.4 33.2/9.4
2004 52.4 12.5 27 20.5 11.5 0.6 33.8/8.7
2005 38.5 15 24.9 20.9 13 1.6 40.3/9.9
2006 40.1 11 22 25.3 30.1 3.2 21.5/8.9
2007 51.8 11.1 30.5 27.7 20.4 5.5 14.6/3.1
2008 46.8 11.6 30.9 29.3 24.9 6.3 5.8/-
2009 49 8.8 40.1 25.3 67.1 7.8 0
2010 43.6 19 50 35.7 87 10.4 0
2011 55.8 31.1 61.1 38.9 107.7 14.3 0
2012 58.8 31.3 57.5 39.2 103.2 24.8 0
2013 40.1 28.3 37.7 26.9 52.1 8.1 0
2014 35.2 26.3 32.5 25.8 49 8.6 0
2015 49.1 26.1 34.6 27 48.5 9.4 0
2016 56.4 22.3 62.5 32.5 45.4 14.1 0
2017 65 29.8 50.7 24.7 47.1 10.3 0
2018 51.7 29.2 36.9 21.6 43.2 8.6 0
2019 53.9 33.5 30.4 20.4 31.0 5.9 0
2020 66.7 31.6 35.1 22.3 23.2 3.5 0
2021 81.4 28.5 41.0 17.0 31.0 5.8 0
2022 63.4 22.5 44.7 18.7 22.1 5.5 0
2023 69.6 23.2 51.7 19.2 11.1 4.1 0
2024 52.7 17.7 35.9 23.8 4.9 5.0 0
2025(1 37.3 13.4 35.2 21.7 11.8 7.6 0
Table 4. 2 . Northeast Arctic haddock. Total nominal catch (‘000 t) by trawl and other gear for each area.

1) Provisional

2) Figures based on Norwegian/Russian IUU estimates.

Year Faroe Islands France GDR (–1990) & Greenland (1992–) Germany Norway4 Poland UK Russia2 Others T ot al3
1960 172 - - 5597 46263 - 45469 57025 125 154651
1961 285 220 - 6304 60862 - 39650 85345 558 193224
1962 83 409 - 2895 54567 - 37486 91910 58 187408
1963 17 363 - 2554 59955 - 19809 63526 - 146224
1964 - 208 - 1482 38695 - 14653 43870 250 99158
1965 - 226 - 1568 60447 - 14345 41750 242 118578
1966 - 1072 11 2098 82090 - 27723 48710 74 161778
1967 - 1208 3 1705 51954 - 24158 57346 23 136397
1968 - - - 1867 64076 - 40129 75654 - 181726
1969 2 - 309 1490 67549 - 37234 24211 25 130820
1970 541 - 656 2119 37716 - 20423 26802 - 88257
1971 81 - 16 896 45715 43 16373 15778 3 78905
1972 137 - 829 1433 46700 1433 17166 196224 2231 266153
1973 1212 3214 22 9534 86767 34 32408 186534 2501 322226
1974 925 3601 454 23409 66164 3045 37663 78548 7348 221157
1975 299 5191 437 15930 55966 1080 28677 65015 3163 175758
1976 536 4459 348 16660 49492 986 16940 42485 5358 137264
1977 213 1510 144 4798 40118 - 10878 52210 287 110158
1978 466 1411 369 1521 39955 1 5766 45895 38 95422
1979 343 1198 10 1948 66849 2 6454 26365 454 103623
1980 497 226 15 1365 66501 - 2948 20706 246 92504
1981 381 414 22 2402 63435 Spain 1682 13400 - 81736
1982 496 53 - 1258 43702 - 827 2900 - 49236
1983 428 - 1 729 22364 139 259 680 - 24600
1984 297 15 4 400 18813 37 276 1103 - 20945
1985 424 21 20 395 21272 77 153 22690 - 45052
1986 893 12 75 1079 52313 22 431 45738 - 100563
1987 464 7 83 3105 72419 59 563 78211 5 154916
1988 1113 116 78 1323 60823 72 435 31293 2 95255
1989 1217 - 26 171 36451 1 590 20062 - 58518
1990 705 - 5 167 20621 - 494 5190 - 27182
1991 1117 - Greenland 213 22178 - 514 12177 17 36216
1992 1093 151 1719 387 36238 38 596 19699 1 59922
1993 546 1215 880 1165 40978 76 1802 35071 646 82379
1994 2761 678 770 2412 71171 22 4673 51822 877 135186
1995 2833 598 1097 2675 76886 14 3111 54516 718 142448
1996 3743 6 1510 942 94527 669 2275 74239 217 178128
1997 3327 540 1877 972 103407 364 2340 41228 304 154359
1998 1903 241 854 385 75108 257 1229 20559 94 100630
1999 1913 64 437 641 48182 652 694 30520 92 83195
2000 631 178 432 880 42009 502 747 22738 827 68944
2001 1210 324 553 554 49067 1497 1068 34307 1060 89640
2002 1564 297 858 627 52247 1505 1125 37157 682 114798
2003 1959 382 1363 918 56485 1330 1018 41142 1103 138926
2004 2484 103 1680 823 62192 54 1250 54347 1569 158279
2005 2138 333 15 996 60850 963 1899 50012 1262 158751
2006 2390 883 1830 989 69272 703 1164 53313 1162 153157
2007 2307 277 1464 1123 71244 125 1351 66569 2511 161525
2008 2687 311 1659 535 72779 283 971 68792 1759 155604
2009 2820 529 1410 1957 104354 317 1315 85514 1845 200061
2010 3173 764 1970 3539 123384 379 1758 111372 2862 249200
2011 1759 268 2110 1724 158202 502 1379 139912 4763 309785
2012 2055 322 3984 1111 159602 441 833 143886 3393 315627
2013 1886 342 1795 500 99215 439 639 85668 3260 193744
2014 1470 198 1150 340 91306 187 355 78725 3791 177522
2015 2459 145 1047 124 95094 246 450 91864 3327 194756
2016 2460 340 1401 170 108718 200 575 115710 3838 233416
2017 2776 108 1810 170 113132 228 372 106714 2279 227588
2018 2333 183 1317 385 93839 169 453 90486 2173 191276
2019 1515 143 1208 204 93860 280 456 76125 1611 175402
2020 1392 96 910 282 88108 45 320 89030 2286 182468
2021 1722 105 1101 365 100673 131 78 98296 2390 204743
2022 1831 164 1101 268 89044 99 138 82364 1897 176906
2023 1993 235 672 296 91325 139 112 81751 2376 178899
2024 1637 188 645 180 71226 0 152 64423 1541 139992
2025 (1 1989 271 658 220 66659 0 121 55327 1799 127044
Table 4. 3 . Northeast Arctic haddock. Nominal catch (t) by countries. Subarea 1 and divisions 2.a and 2.b combined. (Data provided by Working Group members).

1) Provisional figures, preliminary catches estimated by JRN AFWG in June 2026., 2) USSR prior to 1991, 3) Figures based on Norwegian IUU estimates in 2002–2008 (see table 4.1), 4) Included landings in Norwegian statistical areas 06 and 07 (from 1983)

Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950 0 4446 3189 37949 35344 18849 28868 9199 1979 1093 853 867 1257
1951 4069 222 65643 9178 18014 13551 6808 6850 3322 1182 734 178 436
1952 0 13674 6012 151996 13634 9850 4693 3237 2434 606 534 185 161
1953 392 8031 64528 13013 70781 5431 2867 1080 424 315 393 202 410
1954 1726 493 6563 154696 5885 27590 3233 1302 712 319 126 68 349
1955 0 989 1154 10689 176678 4993 28273 1445 271 100 50 30 20
1956 97 3012 16437 5922 14713 127879 3182 8003 450 200 80 60 45
1957 828 243 2074 24704 7942 12535 46619 1087 1971 356 17 40 119
1958 153 2312 1727 5914 31438 5820 12748 17565 822 1072 226 79 296
1959 169 2425 20318 7826 7243 14040 3154 2237 5918 285 316 71 113
1960 2319 3613 39910 70912 13647 7101 6236 1579 2340 2005 497 70 42
1961 362 5531 15429 56855 63351 8706 3578 4407 788 527 1287 67 80
1962 0 4524 39503 30868 48903 33836 3201 1341 1773 242 247 483 28
1963 3 2143 28466 72736 18969 13579 9257 1239 559 409 80 84 212
1964 149 834 22363 49290 30672 5815 3527 2716 833 104 206 235 190
1965 0 3498 5936 46356 40201 12631 1679 974 897 123 204 123 471
1966 0 2577 26345 22631 63176 29048 5752 582 438 189 186 25 30
1967 0 53 15907 41346 13496 25719 8872 1616 218 175 155 75 41
1968 0 33 657 67632 41267 7748 15599 5292 655 182 101 115 70
1969 0 1061 1524 1968 44634 19002 3620 4937 1628 316 43 43 23
1970 480 281 23444 2454 1906 22417 8100 2012 2016 740 166 26 96
1971 15 3535 1978 24358 1257 918 9279 3056 826 1043 369 130 35
1972 133 9399 230942 22315 42981 3206 1611 6758 2638 900 989 538 120
1973 0 5956 70679 260520 24180 6919 422 426 1692 529 147 339 95
1974 281 3713 9685 41706 88120 5829 4138 382 618 2043 935 276 659
1975 1321 4355 10037 14088 33871 49711 2135 1236 92 131 500 147 287
1976 3475 7499 13994 13454 6810 20796 40057 1247 1350 193 280 652 671
1977 184 18456 55967 22043 7368 2586 7781 11043 311 388 96 101 182
1978 46 2033 47311 18812 4076 1389 1626 2596 6215 162 258 3 139
1979 0 48 17540 35290 10645 1429 812 546 1466 2310 181 87 55
1980 0 0 627 22878 21794 2971 250 504 230 842 1299 111 50
1981 1 68 486 2561 22124 10685 1034 162 162 72 330 564 69
1982 2 29 883 900 3372 12203 2625 344 75 80 91 321 238
1983 3 351 1173 2636 1360 2394 2506 1799 267 37 60 100 132
1984 7 754 1271 1019 1899 657 950 2619 352 87 2 22 53
1985 4 2952 29624 1695 564 1009 943 886 1763 588 124 64 93
1986 506 650 23113 68429 1565 783 896 393 702 1144 443 130 414
1987 9 83 5031 87170 64556 960 597 376 212 230 419 245 73
1988 7 139 1439 12478 47890 20429 397 178 74 88 168 198 80
1989 611 221 2157 4986 16071 25313 3198 147 1 28 28 53 96
1990 2 446 1015 2580 2142 4046 6221 840 134 42 14 13 44
1991 23 533 4421 3564 2416 3299 4633 3953 461 83 9 18 27
1992 49 2793 11571 11567 4099 2642 2894 3327 3498 486 35 32 18
1993 498 272 13487 19457 13704 4103 1747 1886 2105 1965 201 96 25
1994 95 187 3374 47821 36333 13264 2057 903 1453 2769 1802 259 49
1995 2 85 2003 16109 72644 19145 6417 746 361 770 655 804 116
1996 35 478 1662 6818 36473 73579 13426 2944 573 365 533 598 767
1997 70 94 2280 5633 12603 32832 49478 5636 778 245 126 158 463
1998 547 1476 1701 11304 9258 8633 13801 19469 2113 330 59 54 377
1999 104 568 16839 8039 15365 6073 4466 6355 6204 647 117 109 220
2000 46 692 1520 29986 6496 5149 2406 1657 1570 1744 183 70 184
2001 374 1758 12971 5230 32049 5279 2941 1137 1161 1169 747 169 288
2002 59 603 7132 46335 11084 21985 2602 1602 482 448 581 349 98
2003 123 611 6803 31448 56480 11736 14541 1637 2178 858 411 413 395
2004 58 1295 7993 21116 41310 41226 4939 4914 598 1252 296 139 465
2005 102 865 11452 19369 22887 37067 24461 2393 2997 990 201 263 1059
2006 271 2496 4539 35040 27571 15033 16023 8567 1259 1298 222 175 321
2007 575 3914 30707 15213 45992 18516 10642 7889 2570 678 605 197 185
2008 440 2089 14536 44192 15926 31173 9145 4520 2846 1181 274 214 166
2009 483 1364 15379 55013 52498 13679 15382 3800 1669 887 285 353 321
2010 457 620 6545 52006 80622 50306 9273 5324 1954 1114 533 242 621
2011 909 806 1277 8501 90394 100522 39496 4397 2340 668 437 269 708
2012 268 611 7814 4206 18007 93055 82721 14445 1325 448 217 216 568
2013 402 904 1778 12780 3805 12297 58024 29930 4976 957 331 212 535
2014 528 649 6948 4503 14563 6833 16304 39620 16439 2431 619 440 545
2015 303 1334 1645 27317 8526 16624 7950 20538 25534 6677 1556 295 312
2016 294 655 5774 3482 33177 9563 18045 12030 21875 13492 4757 876 248
2017 724 1898 30744 46463 16895 48927 10518 14992 9 485 8447 6 640 1872 317
2018 679 1438 9424 16291 34060 8466 18882 5123 8902 4125 3564 4504 1040
2019 797 968 13908 28572 24171 32555 6278 6803 2601 3618 1225 1715 1400
2020 122 1298 10797 62206 46715 18137 10773 3051 2839 1445 996 915 1092
2021 263 641 2882 31573 99086 31202 7412 3595 1985 1161 814 802 966
2022 49 752 2836 18050 50522 55469 11172 2368 1016 544 285 335 479
2023 60 6615 10603 8935 29024 46726 27135 3052 888 337 175 222 313
2024 42 1420 18364 18151 11128 22770 23900 9319 953 388 152 158 262
2025 53 968 12752 37562 17065 8270 13348 10107 3450 352 99 60 135
Table 4. 4 . Northeast Arctic haddock. Catch numbers-at-age (numbers, ´000).
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1951 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1952 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1953 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1954 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1955 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1956 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1957 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1958 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1959 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1960 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1961 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1962 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1963 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1964 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1965 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1966 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1967 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1968 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1969 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1970 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1971 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1972 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1973 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1974 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1975 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1976 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1977 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1978 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1979 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1980 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1981 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1982 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1983 0.188 0.689 1.033 1.408 1.71 2.149 2.469 2.748 3.069 3.687 4.516 3.094 3.461
1984 0.408 0.805 1.218 1.632 2.038 2.852 2.845 3.218 3.605 4.065 4.407 4.734 5.099
1985 0.319 0.383 0.835 1.29 1.816 2.174 2.301 2.835 3.253 3.721 4.084 4.137 4.926
1986 0.218 0.325 0.612 1.064 1.539 1.944 2.362 2.794 3.25 3.643 4.14 4.559 5.927
1987 0.143 0.221 0.497 0.765 1.179 1.724 2.135 2.551 3.009 3.414 3.84 4.415 5.195
1988 0.279 0.551 0.55 0.908 1.097 1.357 1.537 1.704 2.403 2.403 2.486 2.531 2.834
1989 0.258 0.55 0.684 0.84 0.998 1.176 1.546 1.713 1.949 2.14 2.389 2.522 2.797
1990 0.319 0.601 0.793 1.172 1.397 1.624 1.885 2.112 2.653 3.102 3.18 3.438 3.319
1991 0.216 0.616 0.941 1.281 1.556 1.797 2.044 2.079 2.311 2.788 3.408 2.896 3.274
1992 0.055 0.458 0.906 1.263 1.535 1.747 2.043 2.2 2.298 2.494 2.49 2.673 2.923
1993 0.381 0.64 0.94 1.204 1.487 1.748 1.994 2.237 2.417 2.654 2.906 3.184 3.363
1994 0.278 0.521 0.614 0.906 1.287 1.602 1.968 2.059 2.39 2.545 2.881 2.918 3.222
1995 0.258 0.446 0.739 0.808 1.107 1.556 1.838 2.234 2.416 2.602 2.965 3.163 3.786
1996 0.287 0.427 0.683 0.868 1.045 1.363 1.71 1.886 2.214 2.37 2.438 2.707 2.896
1997 0.408 0.575 0.682 1.028 1.151 1.369 1.637 1.856 2.073 2.5 2.279 2.532 2.609
1998 0.409 0.593 0.748 0.974 1.262 1.433 1.641 1.863 2.069 2.335 2.511 2.8 2.849
1999 0.435 0.695 0.826 1.079 1.261 1.485 1.634 1.798 2.032 2.237 2.339 2.611 2.865
2000 0.378 0.577 0.853 1.186 1.395 1.588 1.808 1.989 2.264 2.415 2.587 2.647 3.098
2001 0.391 0.647 0.751 1.104 1.459 1.709 1.921 2.182 2.331 2.609 2.757 3.376 3.338
2002 0.159 0.407 0.687 1.001 1.363 1.643 1.975 2.086 2.294 2.487 2.612 2.847 3.501
2003 0.198 0.384 0.594 0.875 1.113 1.364 1.361 1.972 1.636 1.877 2.088 2.351 2.842
2004 0.328 0.429 0.636 0.886 1.183 1.508 1.821 2.075 2.339 2.58 2.527 3.153 3.197
2005 0.285 0.492 0.722 0.906 1.121 1.343 1.619 2.036 2.177 2.382 2.527 2.496 2.81
2006 0.311 0.567 0.745 1.041 1.287 1.504 1.72 2.082 2.377 2.738 3.082 3.02 3.43
2007 0.329 0.431 0.652 0.899 1.197 1.435 1.722 1.99 2.309 2.715 2.987 2.947 3.591
2008 0.383 0.484 0.658 0.901 1.242 1.515 1.781 2.18 2.33 2.664 3.019 3.326 3.829
2009 0.378 0.508 0.707 1.024 1.28 1.538 1.806 2.107 2.398 2.531 2.606 3.089 3.541
2010 0.317 0.499 0.642 0.887 1.137 1.396 1.702 1.907 2.095 2.404 2.534 3.064 3.249
2011 0.423 0.513 0.811 0.953 1.093 1.254 1.462 1.715 1.978 2.328 2.305 2.55 2.76
2012 0.271 0.506 0.756 1.004 1.174 1.371 1.514 1.715 2.051 2.444 2.414 2.615 2.932
2013 0.469 0.542 0.821 1.014 1.217 1.401 1.571 1.714 1.914 2.168 2.24 2.516 2.807
2014 0.469 0.645 0.792 1.033 1.253 1.417 1.625 1.793 1.941 2.081 2.479 2.703 3.011
2015 0.473 0.647 0.876 1.054 1.327 1.571 1.777 1.934 2.025 2.216 2.481 2.99 3.455
2016 0.497 0.743 0.882 1.115 1.369 1.662 1.917 2.089 2.301 2.567 3.076 3.286 3.331
2017 0.449 0.608 0.874 1.088 1.378 1.666 1.879 2.146 2.258 2.476 2.72 2.98 3.713
2018 0.443 0.663 0.820 1.051 1.339 1.629 1.927 2.156 2.372 2.588 2.728 2.773 3.175
2019 0.341 0.508 0.729 0.955 1.275 1.581 1.834 2.151 2.378 2.607 2.868 2.934 3.382
2020 0.364 0.523 0.629 0.788 1.131 1.489 1.821 2.126 2.426 2.651 2.771 3.147 3.359
2021 0.257 0.445 0.57 0.773 0.997 1.351 1.716 2.15 2.388 2.682 3.073 3.201 4.139
2022 0.175 0.436 0.642 0.808 1.093 1.329 1.651 2.031 2.473 2.727 3.000 3.278 4.297
2023 0.248 0.394 0.684 1.02 1.203 1.458 1.673 1.98 2.334 2.676 3.122 3.223 3.849
2024 0.21 0.418 0.627 0.896 1.233 1.463 1.719 1.957 2.263 2.695 2.946 3.529 3.964
2025 0.307 0.382 0.572 0.885 1.205 1.525 1.723 1.978 2.277 2.826 3.361 3.496 4.305
Table 4. 5 . Northeast Arctic haddock. Catch weights-at-age (kg).
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950-1979 0.031 0.145 0.354 0.653 1.016 1.427 1.867 2.327 2.771 3.195 3.597 3.597 3.597
1980 0.063 0.262 0.454 0.878 1.159 1.675 2.292 3.134 3.31 3.553 3.792 3.792 3.792
1981 0.051 0.274 0.603 0.805 1.315 1.582 2.118 2.728 3.51 3.679 3.904 3.904 3.904
1982 0.036 0.224 0.631 1.049 1.217 1.782 2.017 2.553 3.14 3.853 4.016 4.016 4.016
1983 0.035 0.164 0.524 1.098 1.558 1.663 2.255 2.448 2.97 3.524 4.165 4.165 4.165
1984 0.028 0.158 0.391 0.926 1.632 2.093 2.121 2.718 2.865 3.363 3.878 3.878 3.878
1985 0.03 0.127 0.379 0.700 1.394 2.195 2.626 2.572 3.158 3.261 3.728 3.728 3.728
1986 0.035 0.136 0.311 0.682 1.069 1.898 2.761 3.138 3.005 3.568 3.632 3.632 3.632
1987 0.042 0.161 0.331 0.569 1.047 1.473 2.411 3.307 3.616 3.412 3.946 3.946 3.946
1988 0.039 0.189 0.383 0.603 0.887 1.452 1.895 2.915 3.822 4.054 3.787 3.787 3.787
1989 0.037 0.175 0.445 0.689 0.936 1.248 1.878 2.317 3.395 4.297 4.449 4.449 4.449
1990 0.031 0.169 0.413 0.789 1.054 1.312 1.635 2.308 2.728 3.844 4.73 4.73 4.73
1991 0.025 0.141 0.402 0.737 1.193 1.458 1.714 2.035 2.732 3.122 4.256 4.256 4.256
1992 0.023 0.114 0.34 0.721 1.119 1.63 1.881 2.127 2.437 3.142 3.491 3.491 3.491
1993 0.025 0.107 0.279 0.616 1.100 1.537 2.08 2.308 2.54 2.831 3.531 3.531 3.531
Table 4. 6 a. Northeast Arctic haddock. Smoothed stock weights-at-age (kg). The data from 1950–1993 is unchanged since AFWG 2019, the data from 1994 and onward have been updated this year.
Year 3 4 5 6 7 8 9 10 11 12 13
1994 0.939 0.952 0.957 0.962 0.967 0.968 0.967 0.96 0.953 1 1
1995 0.251 0.505 0.94 1.651 2.177 2.707 2.858 2.824 2.972 3.632 4.172
1996 0.263 0.472 0.798 1.315 2.12 2.64 3.159 3.303 3.22 3.171 3.947
1997 0.279 0.488 0.747 1.136 1.72 2.575 3.086 3.619 3.71 3.412 3.489
1998 0.344 0.514 0.769 1.063 1.495 2.128 3.028 3.538 4.036 3.879 3.73
1999 0.344 0.625 0.816 1.1 1.417 1.879 2.54 3.474 3.948 4.172 4.19
2000 0.364 0.629 0.973 1.158 1.452 1.777 2.27 2.964 3.879 4.102 4.481
2001 0.294 0.66 0.98 1.365 1.522 1.827 2.153 2.663 3.374 4.033 4.407
2002 0.306 0.54 1.027 1.365 1.769 1.91 2.211 2.546 3.058 3.552 4.352
2003 0.274 0.563 0.852 1.432 1.779 2.197 2.294 2.597 2.929 3.245 3.862
2004 0.249 0.505 0.883 1.204 1.85 2.197 2.617 2.702 2.985 3.127 3.552
2005 0.289 0.463 0.798 1.243 1.577 2.279 2.617 3.035 3.087 3.185 3.427
2006 0.285 0.53 0.742 1.136 1.624 1.974 2.709 3.05 3.437 3.275 3.489
2007 0.294 0.526 0.834 1.057 1.505 2.028 2.365 3.138 3.452 3.616 3.6
2008 0.22 0.544 0.834 1.181 1.4 1.879 2.427 2.783 3.548 3.632 3.93
2009 0.22 0.417 0.858 1.181 1.558 1.768 2.27 2.838 3.175 3.73 3.947
2010 0.249 0.417 0.672 1.212 1.549 1.942 2.142 2.663 3.236 3.365 4.033
2011 0.289 0.463 0.667 0.962 1.586 1.942 2.341 2.52 3.058 3.427 3.681
2012 0.297 0.536 0.742 0.962 1.284 1.985 2.341 2.743 2.9 3.245 3.746
2013 0.368 0.549 0.84 1.057 1.276 1.631 2.377 2.743 3.131 3.098 3.568
2014 0.341 0.67 0.864 1.189 1.4 1.622 1.987 2.783 3.131 3.335 3.412
2015 0.393 0.625 1.034 1.219 1.568 1.768 1.976 2.358 3.191 3.32 3.648
2016 0.355 0.707 0.973 1.442 1.596 1.952 2.142 2.346 2.722 3.381 3.632
2017 0.358 0.645 1.091 1.357 1.871 1.996 2.354 2.52 2.722 2.928 3.681
2018 0.351 0.654 1 1.512 1.769 2.303 2.39 2.756 2.9 2.914 3.23
2019 0.277 0.64 1.014 1.398 1.944 2.186 2.736 2.797 3.146 3.098 3.215
2020 0.268 0.509 0.993 1.416 1.809 2.387 2.604 3.168 3.191 3.335 3.412
2021 0.265 0.501 0.81 1.39 1.829 2.232 2.831 3.035 3.58 3.381 3.648
2022 0.289 0.497 0.792 1.143 1.799 2.268 2.657 3.257 3.437 3.746 3.697
2023 0.341 0.53 0.787 1.129 1.513 2.232 2.683 3.094 3.678 3.616 4.05
2024 0.271 0.625 0.84 1.114 1.487 1.889 2.657 3.108 3.499 3.846 3.93
2025 0.294 0.505 0.973 1.189 1.468 1.869 2.281 3.079 3.531 3.664 4.155
2026 0.249 0.544 0.798 1.357 1.558 1.848 2.246 2.689 3.484 3.697 3.981
Table 4.6b. Northeast Arctic haddock. Smoothed stock weights-at-age (kg), updated from 1994 and onwards this year.
Year 3 4 5 6 7 8 9 10  
1950-1979 0.027 0.101 0.311 0.622 0.845 0.944 0.982 0.994
1980 0.026 0.076 0.243 0.649 0.86 0.95 0.984 0.995
1981 0.056 0.104 0.303 0.549 0.857 0.948 0.984 0.995
1982 0.053 0.161 0.332 0.577 0.77 0.947 0.983 0.995
1983 0.057 0.183 0.472 0.665 0.8 0.906 0.983 0.995
1984 0.044 0.196 0.51 0.801 0.862 0.921 0.967 0.995
1985 0.027 0.149 0.522 0.796 0.928 0.953 0.973 0.989
1986 0.021 0.103 0.454 0.758 0.928 0.977 0.984 0.991
1987 0.021 0.076 0.294 0.713 0.918 0.976 0.993 0.994
1988 0.025 0.074 0.24 0.576 0.898 0.975 0.993 0.998
1989 0.032 0.09 0.25 0.534 0.822 0.966 0.993 0.998
1990 0.046 0.127 0.305 0.578 0.798 0.937 0.99 0.997
1991 0.041 0.164 0.358 0.623 0.82 0.925 0.98 0.997
1992 0.03 0.147 0.449 0.704 0.855 0.936 0.976 0.994
1993 0.018 0.113 0.396 0.741 0.878 0.95 0.979 0.992
Table 4. 7 a. Northeast Arctic haddock. Proportion mature at age. The data from 1950-1993 is unchanged since AFWG 2019. Age 1-2 are 0, and ages 11-13+ set to 1 (not shown).
Year 3 4 5 6 7 8 9 10
1994 0.028 0.089 0.286 0.668 0.867 0.956 0.968 0.964
1995 0.03 0.08 0.22 0.525 0.855 0.95 0.985 0.986
1996 0.032 0.084 0.197 0.436 0.748 0.944 0.981 0.995
1997 0.045 0.092 0.207 0.399 0.666 0.88 0.978 0.993
1998 0.045 0.127 0.227 0.417 0.632 0.827 0.943 0.991
1999 0.049 0.129 0.302 0.448 0.647 0.8 0.912 0.972
2000 0.036 0.139 0.305 0.548 0.676 0.813 0.896 0.954
2001 0.038 0.099 0.328 0.548 0.764 0.834 0.904 0.946
2002 0.032 0.107 0.244 0.579 0.767 0.892 0.915 0.95
2003 0.028 0.089 0.259 0.471 0.789 0.892 0.951 0.957
2004 0.035 0.078 0.22 0.49 0.698 0.906 0.951 0.976
2005 0.033 0.097 0.195 0.436 0.715 0.849 0.958 0.977
2006 0.036 0.095 0.236 0.395 0.669 0.86 0.925 0.98
2007 0.023 0.102 0.236 0.459 0.624 0.827 0.932 0.962
2008 0.023 0.066 0.247 0.459 0.691 0.796 0.912 0.965
2009 0.028 0.066 0.166 0.475 0.688 0.841 0.894 0.954
2010 0.035 0.078 0.164 0.345 0.701 0.841 0.922 0.943
2011 0.036 0.098 0.195 0.345 0.57 0.851 0.922 0.96
2012 0.049 0.103 0.238 0.395 0.566 0.754 0.926 0.96
2013 0.043 0.143 0.249 0.462 0.624 0.751 0.867 0.962
2014 0.055 0.127 0.331 0.479 0.694 0.796 0.865 0.929
2015 0.047 0.156 0.302 0.583 0.704 0.844 0.894 0.927
2016 0.047 0.134 0.358 0.545 0.795 0.854 0.923 0.943
2017 0.046 0.138 0.314 0.614 0.764 0.909 0.928 0.96
2018 0.032 0.132 0.321 0.564 0.814 0.89 0.96 0.963
2019 0.031 0.09 0.311 0.571 0.777 0.921 0.949 0.981
2020 0.03 0.088 0.225 0.56 0.783 0.898 0.966 0.976
2021 0.035 0.087 0.217 0.44 0.774 0.904 0.954 0.985
2022 0.043 0.097 0.214 0.433 0.673 0.898 0.956 0.979
2023 0.031 0.127 0.238 0.424 0.661 0.829 0.954 0.979
2024 0.036 0.089 0.302 0.462 0.654 0.824 0.914 0.978
2025 0.028 0.102 0.22 0.545 0.691 0.818 0.909 0.956
2026 0.023 0.079 0.244 0.436 0.764 0.844 0.907 0.953
Table 4.7b. Northeast Arctic haddock. Proportion mature at age. The data from 1950-1993 is unchanged since AFWG 2019. Age 1-2 are 0, and ages 11-13+ set to 1 (not shown).
Age 0 1 2 3 4 5 6 Biomass
1984 2235.28 1029.88 15.40 0.09 0.00 0.00 0.00 55.95
1985 2142.04 1457.07 5.24 0.00 0.00 0.00 0.00 56.45
1986 93.77 614.83 231.53 170.48 0.00 0.00 0.00 111.23
1987 0.00 1098.98 0.00 0.00 0.00 0.00 0.00 6.04
1988 0.00 17.86 0.49 8.71 0.00 0.20 0.00 2.55
1989 21.77 226.07 0.00 0.00 0.00 0.00 0.00 10.11
1990 48.01 135.88 33.72 3.27 0.00 0.00 0.00 13.90
1991 0.00 354.29 13.00 0.00 0.00 0.00 0.00 15.62
1992 134.39 1740.92 125.90 0.95 0.00 0.00 0.00 88.04
1993 874.96 1516.74 146.49 32.94 3.17 2.69 0.00 72.06
1994 1431.05 1587.85 75.70 24.22 7.08 0.84 0.01 50.72
1995 189.95 2984.16 174.26 12.62 28.24 27.90 0.32 117.26
1996 368.66 1572.67 155.73 38.08 5.16 2.44 3.18 67.31
1997 0.00 964.98 39.65 26.70 1.66 0.73 0.49 44.69
1998 0.00 1784.72 27.82 1.74 2.57 0.45 0.00 36.83
1999 0.00 1054.75 25.61 0.36 0.00 0.00 0.00 29.95
2000 838.03 1450.47 72.23 2.24 1.16 0.19 0.08 59.67
2001 1076.79 605.89 53.54 4.71 0.07 0.00 0.00 52.26
2002 461.57 2463.24 243.18 39.81 2.26 0.36 0.16 128.29
2003 1163.51 3606.36 214.16 39.17 12.65 1.21 0.00 167.01
2004 5421.32 2881.88 305.21 39.88 9.92 2.47 0.00 198.99
2005 7518.29 6604.87 274.71 55.29 9.35 2.26 0.90 319.64
2006 11840.22 8134.42 367.08 5.44 4.41 1.17 0.48 346.67
2007 1131.60 9547.32 633.97 68.78 3.75 2.16 0.22 358.77
2008 1304.29 924.56 862.70 219.07 42.27 5.44 3.12 281.51
2009 5377.23 1783.73 264.23 253.74 66.47 21.41 1.47 242.90
2010 1921.64 5531.76 174.49 64.07 65.07 58.79 10.94 256.38
2011 2243.50 2557.09 438.70 54.45 72.01 82.30 17.72 267.58
2012 227.66 6930.92 131.06 104.35 14.60 6.47 4.07 212.96
2013 2126.40 1558.09 371.72 31.30 21.70 5.42 4.01 195.85
2014 1143.34 1955.88 136.94 26.77 1.79 0.62 0.00 85.51
2015 4889.66 2531.21 126.57 12.99 42.14 1.39 0.21 173.69
2016 7935.46 2617.19 275.96 21.31 2.30 7.19 1.66 218.41
2017 4476.15 7630.66 225.95 22.19 12.21 6.15 12.94 268.49
2018 2307.75 6932.57 570.31 62.52 6.49 0.57 0.02 270.62
2019 537.55 4498.82 401.90 112.93 7.57 0.28 0.00 206.49
2020 1851.42 487.72 74.89 53.02 67.35 3.49 0.12 82.30
2021 996.12 295.70 79.61 5.17 4.10 0.73 0.09 24.83
2022 4070.98 2091.27 211.16 7.95 1.17 0.05 0.00 75.34
2023 1568.81 857.56 191.37 8.30 1.95 0.07 0.00 67.61
2024 10323.38 3895.14 349.50 17.77 3.24 0.94 0.39 282.85
2025 1946.61 3936.30 442.78 13.41 3.05 0.14 0.00 149.00
Average 1984-2025 2196.17 2629.82 203.92 39.69 12.55 5.87 1.49 137.44
Table 4. 8 . Northeast Arctic haddock. Consumption of Haddock by NEA Cod (mln. spec) age 0–6, and total biomass ages 0–6 consumed.
Survey Year\Age 3 4 5 6 7 8 9 10
RU-BTr-Q4 1991 62 9 3 6 18 17    
RU-BTr-Q4 1992 346 50 4 6 9 9    
RU-BTr-Q4 1993 1985 356 48 8 4 4    
RU-BTr-Q4 1994 442 1014 116 15 1 6    
RU-BTr-Q4 1995 31 123 370 40 5 4    
RU-BTr-Q4 1996 28 49 362 334 29 6    
RU-BTr-Q4 1997 32 32 10 27 10 8    
RU-BTr-Q4 1998 38 46 8 5 15 5    
RU-BTr-Q4 1999 196 39 37 8 3 14    
RU-BTr-Q4 2000 60 109 26 11 2 5    
RU-BTr-Q4 2001 334 40 65 11 4 4    
RU-BTr-Q4 2002 399 450 47 24 4 3    
RU-BTr-Q4 2003 221 299 231 34 16 3    
RU-BTr-Q4 2004 113 94 107 87 5 6    
RU-BTr-Q4 2005 240 86 48 57 24 3    
RU-BTr-Q4 2006 113 119 57 26 24 13    
RU-BTr-Q4 2007 838 73 137 38 14 15    
RU-BTr-Q4 2008 2557 1051 124 111 17 11    
RU-BTr-Q4 2009 1647 1704 631 57 32 9    
RU-BTr-Q4 2010 299 1697 1589 466 34 17    
RU-BTr-Q4 2011 47 268 1087 783 165 13    
RU-BTr-Q4 2012 209 49 160 720 480 70    
RU-BTr-Q4 2013 61 175 50 104 374 272    
RU-BTr-Q4 2014 250 46 175 56 142 416    
RU-BTr-Q4 2015 22 199 40 74 28 171    
RU-BTr-Q4 2016 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2017 71 99 9 38 6 27    
RU-BTr-Q4 2018 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2019 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2020 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2021 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2022 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2023 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2024 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2025 -1 -1 -1 -1 -1 -1    
BS-NoRU-Q1(Aco) 1994 348.73 626.65 121.38 8.55 0.7 0.33 2.71  
BS-NoRU-Q1(Aco) 1995 41.47 121.49 395.37 47.61 2.8 0.05 0.83  
BS-NoRU-Q1(Aco) 1996 29.97 22.09 68.65 143.69 5.67 0.93 0.07  
BS-NoRU-Q1(Aco) 1997 57.27 22.22 15.47 56.13 62.77 4.68 0.19  
BS-NoRU-Q1(Aco) 1998 33.78 58.79 24.2 7.7 14.06 20.69 1.62  
BS-NoRU-Q1(Aco) 1999 83.67 21.64 22.1 6.17 1.55 3.88 2.77  
BS-NoRU-Q1(Aco) 2000 36.39 75.53 14.01 12.61 1.57 0.53 3.02  
BS-NoRU-Q1(Aco) 2001 233.45 40.2 41.38 2.2 1.61 0.15 0.71  
BS-NoRU-Q1(Aco) 2002 255.2 201.84 18.47 11.7 1.59 0.29 0.56  
BS-NoRU-Q1(Aco) 2003 203.68 184.57 136.04 12.26 6.01 0.26 0.9  
BS-NoRU-Q1(Aco) 2004 151.01 101.85 107.82 57.68 7.61 1.15 0.55  
BS-NoRU-Q1(Aco) 2005 221.33 115.67 57.43 56.71 12.69 0.38 0.33  
BS-NoRU-Q1(Aco) 2006 56.32 123.84 47.37 19.26 13.64 3.23 0.35  
BS-NoRU-Q1(Aco) 2007 209.28 46.14 80.57 28.92 10 5.05 2.79  
BS-NoRU-Q1(Aco) 2008 812.41 303.04 90.02 74.12 7.41 12.77 2.11  
BS-NoRU-Q1(Aco) 2009 883.68 629.98 266.65 38.87 14.57 1.26 1.05  
BS-NoRU-Q1(Aco) 2010 128.07 631.03 603.99 166.96 12.07 2.94 2.11  
BS-NoRU-Q1(Aco) 2011 54.16 84.23 313.02 292.21 54.91 1.71 1.46  
BS-NoRU-Q1(Aco) 2012 191.63 48.84 88.12 310.6 172.52 30.09 1.01  
BS-NoRU-Q1(Aco) 2013 67.29 146.77 35.41 53.03 223.77 102.68 14.37  
BS-NoRU-Q1(Aco) 2014 334.82 39.12 108.72 23.18 34.77 86.36 38.82  
BS-NoRU-Q1(Aco) 2015 24.35 189.4 26.63 46.13 9.22 22.45 31.99  
BS-NoRU-Q1(Aco) 2016 71.81 12.08 59.62 12.52 17.28 7.48 33.24  
BS-NoRU-Q1(Aco) 2017 81.15 65.05 4.81 34.81 6.24 7.93 17.72  
BS-NoRU-Q1(Aco) 2018 171.03 62.74 64.4 6.77 15.57 2.75 14.69  
BS-NoRU-Q1(Aco) 2019 507.61 146.22 31.73 21.88 4.72 3.46 4.19  
BS-NoRU-Q1(Aco) 2020 286.32 306.38 79.18 22.38 11.59 1.84 6.33  
BS-NoRU-Q1(Aco) 2021 50.76 130.37 181.8 19.35 5.44 0.94 1.77  
BS-NoRU-Q1(Aco) 2022 11.4 63.4 95.3 101.2 11.8 0.82 1.11  
BS-NoRU-Q1(Aco) 2023 77 9.02 51.3 53.3 38.1 2.69 0.49  
BS-NoRU-Q1(Aco) 2024 337.4 44.03 3.7 14.95 12.49 7.8 0.33  
BS-NoRU-Q1(Aco) 2025 369.45 173.1 22.81 3.68 10.1 7.51 3.65  
BS-NoRU-Q1(Aco) 2026 152.52 187.04 97.15 10.62 5.72 4.11 3.27  
BS-NoRu-Q1 (BTr) 1994 314.533 436.251 46.176 3.54 0.163 0.13 0.2 0.651
BS-NoRu-Q1 (BTr) 1995 54.857 167.104 343.38 29.623 1.441 0.025 0.043 0.404
BS-NoRu-Q1 (BTr) 1996 55.843 31.334 150.768 238.108 16.131 1.15 0 0.069
BS-NoRu-Q1 (BTr) 1997 79.632 39.855 18.255 61.566 88.411 3.277 0.082 0.043
BS-NoRu-Q1 (BTr) 1998 21.681 36.749 11.844 1.294 9.203 7.212 0.648 0.092
BS-NoRu-Q1 (BTr) 1999 56.92 15.874 9.418 2.831 0.807 1.282 0.771 0.034
BS-NoRu-Q1 (BTr) 2000 24.08 35.241 6.789 4.134 0.684 0.083 0.802 0.288
BS-NoRu-Q1 (BTr) 2001 293.996 26.252 22.997 1.634 0.752 0.058 0.06 0.329
BS-NoRu-Q1 (BTr) 2002 312.87 185.453 12.417 8.04 0.846 0.218 0.009 0.325
BS-NoRu-Q1 (BTr) 2003 352.236 174.452 72.708 5.104 1.682 0.119 0.104 0.217
BS-NoRu-Q1 (BTr) 2004 173.132 100.516 77.021 51.281 7.409 0.912 0.133 0.228
BS-NoRu-Q1 (BTr) 2005 317.889 141.058 50.664 61.191 10.082 0.249 0.08 0.009
BS-NoRu-Q1 (BTr) 2006 78.798 130.76 46.048 20.874 16.208 3.184 0.094 0.265
BS-NoRu-Q1 (BTr) 2007 443.266 81.784 84.667 26.279 5.411 2.197 1.376 0.896
BS-NoRu-Q1 (BTr) 2008 1591.031 583.606 53.079 54.732 6.794 10.248 0.23 0.167
BS-NoRu-Q1 (BTr) 2009 1230.426 751.012 368.33 25.414 12.437 0.851 0.09 0.363
BS-NoRu-Q1 (BTr) 2010 102.451 510.449 443.759 139.316 7.988 1.016 0.386 0.574
BS-NoRu-Q1 (BTr) 2011 52.883 123.634 469.482 290.036 65.236 1.416 1.121 0.184
BS-NoRu-Q1 (BTr) 2012 316.077 28.785 74.714 267.945 154.601 24.766 3.115 0.391
BS-NoRu-Q1 (BTr) 2013 57.444 143.984 22.019 33.624 191.145 69.385 6.114 0.076
BS-NoRu-Q1 (BTr) 2014 381.173 32.729 104.397 23.257 50.035 97.536 38.692 2.425
BS-NoRu-Q1 (BTr) 2015 30.615 187.035 43.601 39.44 14.668 18.735 30.744 10.2
BS-NoRu-Q1 (BTr) 2016 163.385 34.342 115.597 22.406 41.948 12.437 32.396 33.161
BS-NoRu-Q1 (BTr) 2017 134.9 105.5 7.553 55.338 9.692 15.6 2.527 23.861
BS-NoRu-Q1 (BTr) 2018 336.307 86.656 65.764 7.771 15.59 3.621 2.564 11.931
BS-NoRu-Q1 (BTr) 2019 1075.552 187.224 49.399 16.996 4.038 2.948 0.736 1.91
BS-NoRu-Q1 (BTr) 2020 424.225 586.985 99.123 22.08 6.057 2.605 1.042 2.827
BS-NoRu-Q1 (BTr) 2021 111.35 176.57 265.49 19.32 3.57 0.68 0.19 0.72
BS-NoRu-Q1 (BTr) 2022 12.226 86.54 121.699 113.566 9.099 0.617 0.113 0.44
BS-NoRu-Q1 (BTr) 2023 82.055 8.058 50.201 49.022 33.313 2.168 0.096 0.318
BS-NoRu-Q1 (BTr) 2024 346.71 40.855 3.345 15.762 12.595 7.724 0.355 0.119
BS-NoRu-Q1 (BTr) 2025 477.03 186.551 17.784 2.422 7.565 5.048 2.564 0.146
BS-NoRu-Q1 (BTr) 2026 218.35 277.672 131.819 13.537 6.559 5.106 2.815 0.588
FLT007: Eco-NoRu-Q3 (Btr) 2004 123.368 70.303 69.118 31.482 2.989 1.721 0.22  
FLT007: Eco-NoRu-Q3 (Btr) 2005 324.56 89.531 30.44 32.246 15.035 0.472 1.116  
FLT007: Eco-NoRu-Q3 (Btr) 2006 107.467 124.64 41.597 18.98 17.482 7.289 1.384  
FLT007: Eco-NoRu-Q3 (Btr) 2007 1282.94 88.498 90.369 19.227 5.881 7.102 3.209  
FLT007: Eco-NoRu-Q3 (Btr) 2008 1154.869 405.999 43.133 35.517 4.94 2.514 2.539  
FLT007: Eco-NoRu-Q3 (Btr) 2009 650.742 619.088 305.883 21.045 6.549 0.87 0.576  
FLT007: Eco-NoRu-Q3 (Btr) 2010 184.001 865.318 666.439 147.72 15.84 2.73 0.589  
FLT007: Eco-NoRu-Q3 (Btr) 2011 40.446 73.802 392.93 301.368 37.357 2.972 0.514  
FLT007: Eco-NoRu-Q3 (Btr) 2012 92.468 20.348 67.607 214.052 152.03 12.739 2.003  
FLT007: Eco-NoRu-Q3 (Btr) 2013 25.779 65.228 19.575 50.846 150.131 76.427 7.561  
FLT007: Eco-NoRu-Q3 (Btr) 2014 261.631 40.768 70.161 25.781 60.452 85.771 19.646  
FLT007: Eco-NoRu-Q3 (Btr) 2015 42.148 213.636 25.132 37.111 20.577 47.868 42.903  
FLT007: Eco-NoRu-Q3 (Btr) 2016 209.303 34.43 184.09 47.965 56.787 40.367 125.907  
FLT007: Eco-NoRu-Q3 (Btr) 2017 70.313 70.306 11.47 20.537 3.963 4.025 15.265  
FLT007: Eco-NoRu-Q3 (Btr) 2018 -1 -1 -1 -1 -1 -1 -1  
FLT007: Eco-NoRu-Q3 (Btr) 2019 896.982 160.736 38.067 15.133 5.303 5.037 11.56  
FLT007: Eco-NoRu-Q3 (Btr) 2020 204.059 341.372 58.813 4.918 1.959 0.802 1.483  
FLT007: Eco-NoRu-Q3 (Btr) 2021 129.533 345.768 330.627 32.25 5.446 0.885 1.41  
FLT007: Eco-NoRu-Q3 (Btr) 2022 -1 -1 -1 -1 -1 -1 -1  
FLT007: Eco-NoRu-Q3 (Btr) 2023 182.62 13.345 37.289 36.344 12.06 0.456 0.341  
FLT007: Eco-NoRu-Q3 (Btr) 2024 213.83 26.90 19.47 17.33 13.40 3.17 0.97  
FLT007: Eco-NoRu-Q3 (Btr) 2025 287.805 138.164 18.465 7.937 8.828 7.655 1.504  
Table 4.9. Northeast Arctic haddock. Survey indices for SAM tuning (see section 4.4.6). The last age is a plus group.
#Configuration saved: Wed Feb 12 12:57:09 2020
# Where a matrix is specified rows corresponds to fleets and columns to ages.
# Same number indicates same parameter used
# Numbers (integers) starts from zero and must be consecutive
$minAge
# The minimum age class in the assessment
3
$maxAge
# The maximum age class in the assessment
13
$maxAgePlusGroup
# Is last age group considered a plus group for each fleet (1 yes, or 0 no).
1 1 1 1 1
$keyLogFsta
# Coupling of the fishing mortality states (nomally only first row is used).
0 1 2 3 4 5 5 5 5 5 5
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
$corFlag
# Correlation of fishing mortality across ages (0 independent, 1 compound symmetry, 2 AR(1), 3 separable AR(1).
2
$keyLogFpar
# Coupling of the survey catchability parameters (nomally first row is not used, as that is covered by fishing mortality).
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
0 1 1 1 1 1 -1 -1 -1 -1 -1
2 3 3 3 3 4 4 -1 -1 -1 -1
5 6 6 6 6 7 7 7 -1 -1 -1
8 9 9 9 9 9 9 -1 -1 -1 -1
$keyQpow
# Density dependent catchability power parameters (if any).
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
0 0 0 0 0 0 -1 -1 -1 -1 -1
1 1 1 1 1 2 2 -1 -1 -1 -1
3 3 3 3 3 4 4 4 -1 -1 -1
5 5 5 5 5 5 5 -1 -1 -1 -1
$keyVarF
# Coupling of process variance parameters for log(F)-process (nomally only first row is used)
0 1 1 1 1 1 1 1 1 1 1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
$keyVarLogN
# Coupling of process variance parameters for log(N)-process
0 1 1 1 1 1 1 1 1 1 1
$keyVarObs
# Coupling of the variance parameters for the observations.
0 1 2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 -1 -1 -1 -1 -1
4 4 4 4 4 4 4 -1 -1 -1 -1
5 5 5 5 5 5 5 5 -1 -1 -1
6 6 6 6 6 6 6 -1 -1 -1 -1
$obsCorStruct
# Covariance structure for each fleet ("ID" independent, "AR" AR(1), or "US" for unstructured). | Possible values are: "ID" "AR" "US"
"ID" "AR" "AR" "AR" "AR"
$keyCorObs
# Coupling of correlation parameters can only be specified if the AR(1) structure is chosen above.
# NA's indicate where correlation parameters can be specified (-1 where they cannot).
#V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
NA NA NA NA NA NA NA NA NA NA
0 1 1 1 2 -1 -1 -1 -1 -1
3 3 3 3 3 4 -1 -1 -1 -1
5 5 5 5 5 6 6 -1 -1 -1
7 7 7 7 7 7 -1 -1 -1 -1
$stockRecruitmentModelCode
# Stock recruitment code (0 for plain random walk, 1 for Ricker, 2 for Beverton–Holt, and 3 piece-wise constant).
0
$noScaledYears
# Number of years where catch scaling is applied.
0
$keyScaledYears
# A vector of the years where catch scaling is applied.
$keyParScaledYA
# A matrix specifying the couplings of scale parameters (nrow = no scaled years, ncols = no ages).
$fbarRange
# lowest and higest age included in Fbar
4 7
$keyBiomassTreat
# To be defined only if a biomass survey is used (0 SSB index, 1 catch index, 2 FSB index, 3 total catch, 4 total landings and 5 TSB index).
-1 -1 -1 -1 -1
$obsLikelihoodFlag
# Option for observational likelihood | Possible values are: "LN" "ALN"
"LN" "LN" "LN" "LN" "LN"
$fixVarToWeight
# If weight attribute is supplied for observations this option sets the treatment (0 relative weight, 1 fix variance to weight).
0
$fracMixF
# The fraction of t(3) distribution used in logF increment distribution
0
$fracMixN
# The fraction of t(3) distribution used in logN increment distribution
0
$fracMixObs
# A vector with same length as number of fleets, where each element is the fraction of t(3) distribution used in the distribution of that fleet
0 0 0 0 0
$constRecBreaks
# This option is only used in combination with stock-recruitment code 3)
$predVarObsLink
# Coupling of parameters used in a mean-variance link for observations.
0 1 2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 -1 -1 -1 -1 -1
4 4 4 4 4 4 4 -1 -1 -1 -1
5 5 5 5 5 5 5 5 -1 -1 -1
6 6 6 6 6 6 6 -1 -1 -1 -1
Table 4.10 SAM model configuration used. Updated at WKDEM 2020.
Year R(age 3) Low High SSB Low High Fbar(4-7) Low High TSB Low High
 
1950 108975 69200 171613 213259 190992 238122 0.791 0.671 0.934 396948 355987 442621
1951 626475 414440 946990 124916 110841 140777 0.683 0.576 0.809 425240 339487 532653
1952 84126 53968 131137 101095 88307 115735 0.702 0.588 0.839 416228 332653 520800
1953 1163158 771004 1754771 120244 103875 139192 0.533 0.441 0.643 706848 545804 915408
1954 129495 83074 201856 172738 146665 203445 0.432 0.357 0.524 806629 640047 1016567
1955 58074 36824 91585 310673 265319 363780 0.446 0.371 0.537 839161 708243 994279
1956 220402 140946 344651 366165 311932 429828 0.472 0.393 0.567 683438 587391 795189
1957 59800 37971 94179 253535 217248 295883 0.427 0.356 0.512 432670 375790 498160
1958 72625 46638 113094 181675 157717 209271 0.518 0.431 0.622 314155 276432 357025
1959 381171 251352 578038 125232 108736 144230 0.448 0.370 0.542 330254 272516 400226
1960 314624 205972 480589 112570 99276 127645 0.543 0.454 0.649 415097 346324 497526
1961 142377 93415 217003 124424 110803 139719 0.664 0.563 0.785 399923 347875 459758
1962 289382 191296 437762 124892 110886 140668 0.790 0.671 0.929 374055 322557 433775
1963 308080 205451 461975 94156 82822 107041 0.755 0.634 0.900 349778 293335 417083
1964 345532 229076 521191 84259 74030 95900 0.632 0.525 0.760 381621 316792 459718
1965 124855 81036 192368 102756 89698 117716 0.526 0.436 0.635 383328 324513 452801
1966 307137 201411 468363 145018 126243 166586 0.558 0.465 0.669 446919 382143 522676
1967 333881 218503 510183 150725 129941 174834 0.444 0.367 0.536 459783 387194 545979
1968 18438 11396 29833 167318 144889 193218 0.485 0.401 0.587 423703 359798 498957
1969 20247 12493 32815 166972 143515 194263 0.415 0.340 0.508 314691 269723 367156
1970 204516 131956 316975 154575 131168 182159 0.387 0.314 0.477 283872 239532 336418
1971 109298 70747 168855 126992 107089 150595 0.330 0.265 0.411 261782 222673 307760
1972 1061088 693218 1624175 127984 111205 147295 0.654 0.537 0.796 603662 460912 790624
1973 307820 203349 465965 125082 107688 145286 0.537 0.440 0.655 637763 513168 792609
1974 64891 42027 100194 153299 133659 175826 0.505 0.418 0.611 461411 398619 534095
1975 58650 37995 90533 194035 166235 226484 0.498 0.416 0.596 376963 327226 434260
1976 59825 38053 94055 195625 167934 227882 0.720 0.607 0.854 294691 257913 336714
1977 120585 75893 191594 118638 100026 140714 0.733 0.606 0.887 200355 171691 233804
1978 211921 139985 320822 80868 66996 97613 0.626 0.510 0.768 197921 163671 239339
1979 158205 104083 240469 62284 52415 74010 0.581 0.470 0.719 204480 170274 245557
1980 22785 14156 36673 62627 53211 73711 0.475 0.382 0.590 211882 177122 253463
1981 10708 6373 17991 72555 61373 85774 0.437 0.351 0.544 167779 141654 198721
1982 16321 9924 26842 68425 56630 82678 0.384 0.306 0.483 122370 102490 146106
1983 8129 4713 14022 58242 47871 70861 0.350 0.275 0.447 87418 73224 104362
1984 13175 8018 21648 53016 43256 64980 0.315 0.245 0.406 71427 59643 85540
1985 359863 235776 549255 48976 40761 58846 0.399 0.314 0.506 191699 141074 260491
1986 479062 315288 727907 54773 46448 64589 0.535 0.427 0.670 375116 295626 475980
1987 91041 58739 141107 77835 66526 91066 0.626 0.505 0.777 356652 298070 426746
1988 39374 24623 62961 79954 67304 94982 0.510 0.410 0.635 254090 215507 299582
1989 28106 17315 45623 84346 69533 102316 0.372 0.295 0.468 192428 161199 229707
1990 36550 23359 57187 85453 69655 104834 0.213 0.167 0.272 152597 127613 182472
1991 109392 76718 155981 99757 83823 118720 0.240 0.192 0.300 184695 157660 216366
1992 322112 228798 453484 109994 95092 127232 0.295 0.239 0.365 287369 241224 342342
1993 820866 597223 1128259 124323 109641 140971 0.318 0.260 0.389 515204 427567 620803
1994 391874 319749 480270 159634 142857 178380 0.372 0.308 0.450 640613 563159 728719
1995 99788 78491 126862 195127 174318 218420 0.302 0.255 0.359 636892 565165 717722
1996 98928 78211 125133 225984 202098 252692 0.370 0.315 0.433 553332 494930 618625
1997 119383 94679 150534 196094 174959 219783 0.447 0.379 0.528 401220 360967 445962
1998 63142 49224 80995 135279 120030 152464 0.453 0.381 0.540 266534 239332 296828
1999 146665 118330 181784 97816 86869 110142 0.463 0.385 0.557 231915 207564 259124
2000 82738 65415 104648 81102 71925 91450 0.343 0.282 0.417 212902 188842 240027
2001 358864 296770 433949 95199 85069 106534 0.370 0.308 0.444 315552 280268 355278
2002 387214 319588 469149 113400 101419 126797 0.354 0.295 0.425 431620 383246 486099
2003 336975 274115 414251 143435 128995 159493 0.428 0.362 0.505 502966 449997 562170
2004 256950 211827 311685 162252 145906 180431 0.393 0.335 0.461 490050 441211 544294
2005 356172 295410 429433 173912 156429 193348 0.408 0.348 0.478 507393 457634 562563
2006 153951 125623 188667 157402 141536 175047 0.372 0.316 0.438 436144 393507 483400
2007 510002 422077 616243 159330 143627 176750 0.387 0.328 0.457 494790 445380 549681
2008 1058248 885209 1265111 168146 150560 187786 0.319 0.268 0.381 717424 636660 808434
2009 988708 829190 1178914 189554 169966 211399 0.266 0.223 0.316 972669 861716 1097907
2010 233811 191810 285008 254839 228388 284354 0.252 0.213 0.297 1099057 974166 1239960
2011 115838 92414 145200 369752 331360 412592 0.263 0.226 0.307 1153415 1029185 1292641
2012 334439 275411 406117 488053 434311 548446 0.226 0.192 0.265 1148866 1026506 1285811
2013 117758 94290 147066 536597 475416 605651 0.152 0.127 0.180 988951 882878 1107768
2014 405397 335787 489437 533417 475661 598186 0.158 0.132 0.189 968962 873487 1074872
2015 71800 56590 91099 505545 455426 561180 0.193 0.162 0.230 859210 779119 947535
2016 206504 168193 253540 497770 449439 551299 0.265 0.225 0.313 788988 716479 868834
2017 192727 157269 236181 416370 378546 457973 0.356 0.302 0.418 691428 630948 757705
2018 355486 291128 434071 306104 277657 337465 0.413 0.352 0.485 599303 544534 659581
2019 785071 653022 943821 233900 212096 257947 0.449 0.380 0.530 656882 591047 730050
2020 417380 344884 505113 194343 175986 214614 0.478 0.405 0.565 668162 598517 745911
2021 155698 125253 193542 180887 163732 199841 0.498 0.424 0.585 600823 539761 668793
2022 45362 34679 59337 177659 158635 198965 0.430 0.365 0.508 487232 435796 544738
2023 172971 140297 213254 176883 157267 198946 0.442 0.375 0.521 418531 375557 466421
2024 438542 362274 530865 163034 143196 185620 0.432 0.360 0.518 433495 386395 486335
2025 494847 407801 600472 157942 135275 184408 0.381 0.305 0.477 494692 434048 563810
2026 286795 224019 367162 164781 134908 201270       525896 445158 621278
 
Table 4.11. Northeast Arctic haddock. SAM model. Estimated recruitment, spawning-stock biomass (SSB), and average fishing mortality (Fbar ages 4-7).
Year Age 3 4 5 6 7 8 9 10 11 12 13
 
1950 0.193 0.477 0.746 0.872 1.069 0.896 0.896 0.896 0.896 0.896 0.896
1951 0.131 0.373 0.615 0.766 0.976 0.878 0.878 0.878 0.878 0.878 0.878
1952 0.125 0.379 0.627 0.783 1.02 0.926 0.926 0.926 0.926 0.926 0.926
1953 0.081 0.28 0.468 0.584 0.799 0.736 0.736 0.736 0.736 0.736 0.736
1954 0.055 0.21 0.36 0.471 0.689 0.647 0.647 0.647 0.647 0.647 0.647
1955 0.051 0.203 0.371 0.503 0.708 0.601 0.601 0.601 0.601 0.601 0.601
1956 0.056 0.213 0.393 0.55 0.731 0.622 0.622 0.622 0.622 0.622 0.622
1957 0.05 0.201 0.37 0.494 0.643 0.55 0.55 0.55 0.55 0.55 0.55
1958 0.062 0.239 0.453 0.601 0.777 0.688 0.688 0.688 0.688 0.688 0.688
1959 0.062 0.232 0.413 0.524 0.622 0.567 0.567 0.567 0.567 0.567 0.567
1960 0.095 0.319 0.539 0.636 0.677 0.617 0.617 0.617 0.617 0.617 0.617
1961 0.126 0.406 0.682 0.783 0.787 0.694 0.694 0.694 0.694 0.694 0.694
1962 0.159 0.499 0.849 0.939 0.871 0.725 0.725 0.725 0.725 0.725 0.725
1963 0.141 0.467 0.802 0.906 0.847 0.684 0.684 0.684 0.684 0.684 0.684
1964 0.1 0.361 0.635 0.767 0.764 0.646 0.646 0.646 0.646 0.646 0.646
1965 0.078 0.295 0.517 0.636 0.656 0.566 0.566 0.566 0.566 0.566 0.566
1966 0.092 0.331 0.565 0.666 0.669 0.556 0.556 0.556 0.556 0.556 0.556
1967 0.073 0.272 0.45 0.517 0.537 0.465 0.465 0.465 0.465 0.465 0.465
1968 0.086 0.303 0.494 0.556 0.587 0.512 0.512 0.512 0.512 0.512 0.512
1969 0.081 0.274 0.433 0.472 0.483 0.417 0.417 0.417 0.417 0.417 0.417
1970 0.083 0.269 0.407 0.431 0.441 0.382 0.382 0.382 0.382 0.382 0.382
1971 0.073 0.239 0.355 0.358 0.368 0.325 0.325 0.325 0.325 0.325 0.325
1972 0.211 0.509 0.757 0.694 0.654 0.545 0.545 0.545 0.545 0.545 0.545
1973 0.215 0.49 0.642 0.534 0.482 0.387 0.387 0.387 0.387 0.387 0.387
1974 0.189 0.434 0.55 0.516 0.52 0.458 0.458 0.458 0.458 0.458 0.458
1975 0.205 0.457 0.55 0.497 0.488 0.418 0.418 0.418 0.418 0.418 0.418
1976 0.316 0.643 0.787 0.725 0.725 0.637 0.637 0.637 0.637 0.637 0.637
1977 0.353 0.702 0.849 0.721 0.659 0.561 0.561 0.561 0.561 0.561 0.561
1978 0.239 0.547 0.728 0.648 0.579 0.507 0.507 0.507 0.507 0.507 0.507
1979 0.168 0.446 0.67 0.651 0.559 0.502 0.502 0.502 0.502 0.502 0.502
1980 0.103 0.323 0.529 0.564 0.484 0.458 0.458 0.458 0.458 0.458 0.458
1981 0.087 0.282 0.477 0.539 0.448 0.429 0.429 0.429 0.429 0.429 0.429
1982 0.076 0.251 0.417 0.478 0.39 0.382 0.382 0.382 0.382 0.382 0.382
1983 0.075 0.246 0.386 0.425 0.344 0.34 0.34 0.34 0.34 0.34 0.34
1984 0.066 0.226 0.347 0.376 0.312 0.294 0.294 0.294 0.294 0.294 0.294
1985 0.075 0.26 0.417 0.485 0.434 0.414 0.414 0.414 0.414 0.414 0.414
1986 0.089 0.315 0.542 0.664 0.619 0.585 0.585 0.585 0.585 0.585 0.585
1987 0.1 0.358 0.642 0.783 0.723 0.658 0.658 0.658 0.658 0.658 0.658
1988 0.073 0.279 0.513 0.654 0.594 0.54 0.54 0.54 0.54 0.54 0.54
1989 0.054 0.217 0.387 0.465 0.417 0.367 0.367 0.367 0.367 0.367 0.367
1990 0.027 0.127 0.216 0.258 0.251 0.235 0.235 0.235 0.235 0.235 0.235
1991 0.029 0.135 0.243 0.293 0.288 0.265 0.265 0.265 0.265 0.265 0.265
1992 0.031 0.146 0.292 0.367 0.375 0.345 0.345 0.345 0.345 0.345 0.345
1993 0.025 0.131 0.293 0.408 0.441 0.404 0.404 0.404 0.404 0.404 0.404
1994 0.023 0.127 0.308 0.475 0.579 0.549 0.549 0.549 0.549 0.549 0.549
1995 0.018 0.102 0.237 0.371 0.5 0.495 0.495 0.495 0.495 0.495 0.495
1996 0.024 0.126 0.291 0.444 0.616 0.625 0.625 0.625 0.625 0.625 0.625
1997 0.033 0.16 0.376 0.537 0.716 0.69 0.69 0.69 0.69 0.69 0.69
1998 0.039 0.179 0.401 0.552 0.681 0.683 0.683 0.683 0.683 0.683 0.683
1999 0.047 0.203 0.431 0.561 0.659 0.633 0.633 0.633 0.633 0.633 0.633
2000 0.033 0.159 0.325 0.414 0.474 0.446 0.446 0.446 0.446 0.446 0.446
2001 0.035 0.165 0.357 0.458 0.499 0.458 0.458 0.458 0.458 0.458 0.458
2002 0.031 0.153 0.323 0.452 0.487 0.431 0.431 0.431 0.431 0.431 0.431
2003 0.037 0.172 0.371 0.533 0.635 0.576 0.576 0.576 0.576 0.576 0.576
2004 0.036 0.161 0.334 0.488 0.589 0.557 0.557 0.557 0.557 0.557 0.557
2005 0.038 0.165 0.338 0.497 0.63 0.609 0.609 0.609 0.609 0.609 0.609
2006 0.037 0.16 0.317 0.447 0.566 0.557 0.557 0.557 0.557 0.557 0.557
2007 0.039 0.16 0.321 0.469 0.6 0.586 0.586 0.586 0.586 0.586 0.586
2008 0.026 0.116 0.235 0.388 0.54 0.538 0.538 0.538 0.538 0.538 0.538
2009 0.021 0.092 0.185 0.314 0.472 0.491 0.491 0.491 0.491 0.491 0.491
2010 0.02 0.088 0.175 0.295 0.448 0.5 0.5 0.5 0.5 0.5 0.5
2011 0.022 0.092 0.19 0.313 0.458 0.505 0.505 0.505 0.505 0.505 0.505
2012 0.021 0.085 0.164 0.271 0.383 0.415 0.415 0.415 0.415 0.415 0.415
2013 0.014 0.063 0.111 0.175 0.258 0.321 0.321 0.321 0.321 0.321 0.321
2014 0.016 0.07 0.123 0.182 0.257 0.355 0.355 0.355 0.355 0.355 0.355
2015 0.022 0.09 0.161 0.226 0.295 0.406 0.406 0.406 0.406 0.406 0.406
2016 0.029 0.118 0.226 0.317 0.401 0.52 0.52 0.52 0.52 0.52 0.52
2017 0.038 0.152 0.306 0.443 0.522 0.601 0.601 0.601 0.601 0.601 0.601
2018 0.038 0.16 0.352 0.531 0.609 0.653 0.653 0.653 0.653 0.653 0.653
2019 0.036 0.162 0.381 0.612 0.64 0.624 0.624 0.624 0.624 0.624 0.624
2020 0.038 0.169 0.404 0.646 0.694 0.64 0.64 0.64 0.64 0.64 0.64
2021 0.039 0.172 0.409 0.664 0.746 0.71 0.71 0.71 0.71 0.71 0.71
2022 0.04 0.167 0.365 0.553 0.637 0.595 0.595 0.595 0.595 0.595 0.595
2023 0.047 0.19 0.389 0.564 0.625 0.566 0.566 0.566 0.566 0.566 0.566
2024 0.048 0.194 0.394 0.542 0.597 0.526 0.526 0.526 0.526 0.526 0.526
2025 0.04 0.172 0.352 0.477 0.524 0.454 0.454 0.454 0.454 0.454 0.454
 
Table 4.12. Northeast Arctic haddock. SAM model estimated fishing mortality-at-age. SAM model.
 
Year Age 3 4 5 6 7 8 9 10 11 12 13
 
1950 108975 99599 74061 36852 46655 16609 4895 2691 1380 1455 2053
1951 626475 55877 45195 26909 12667 12380 5392 1927 1004 443 1085
1952 84126 425585 32329 19096 8988 4317 3834 1640 736 356 507
1953 1163158 49946 209395 14419 6396 2655 1336 1057 536 254 310
1954 129495 885043 25719 91452 6989 2341 1093 550 389 200 229
1955 58074 83666 622875 14511 52016 3118 923 455 237 161 169
1956 220402 40653 55585 322756 7228 17748 1447 403 215 113 154
1957 59800 148176 27602 35816 111219 3103 6152 704 168 99 130
1958 72625 39939 91857 15460 20729 40279 1636 2508 352 84 119
1959 381171 51462 25991 39855 7324 7295 14930 728 902 147 88
1960 314624 264249 35649 15581 16991 3469 3663 6179 362 370 108
1961 142377 191313 144952 17648 6947 7990 1591 1506 2797 157 204
1962 289382 85636 92245 59624 6750 2692 3268 657 609 1160 139
1963 308080 175744 37899 26509 17578 2636 1081 1221 272 243 535
1964 345532 197308 75452 12303 7723 5831 1217 437 505 121 344
1965 124855 237593 114335 30311 4187 2802 2265 533 198 217 210
1966 307137 81988 158105 61952 12371 1710 1281 944 271 91 186
1967 333881 198912 43401 72374 24803 4870 791 603 450 132 131
1968 18438 245054 117437 21830 36079 12480 2352 410 314 233 137
1969 20247 12002 140845 54976 10667 15758 5748 1165 197 157 175
1970 204516 12535 7511 69987 25082 5892 8041 3004 644 106 186
1971 109298 133346 7082 4490 33287 12255 3346 4534 1689 371 163
1972 1061088 80107 81699 4499 3092 17508 6715 2006 2767 1024 315
1973 307820 614362 46172 23263 1690 1541 7612 2891 920 1374 608
1974 64891 167462 250292 16511 10666 877 1005 4434 1670 542 1215
1975 58650 36996 89946 139779 6799 4955 446 558 2138 811 930
1976 59825 33618 16490 44116 78895 3151 2768 245 331 1144 964
1977 120585 30577 13765 6427 17596 30314 1286 1184 102 148 807
1978 211921 54975 9685 4451 2891 7722 15054 628 562 44 429
1979 158205 116783 23270 3238 2036 1398 4087 7066 336 272 225
1980 22785 101682 58337 8326 1151 1045 713 2158 3481 174 239
1981 10708 16004 62962 26227 3461 549 557 379 1138 1716 214
1982 16321 7062 11133 31566 10516 1718 276 306 217 623 958
1983 8129 11181 4740 6820 13509 5581 980 145 177 126 803
1984 13175 4963 6660 2788 3893 8772 2871 575 79 104 517
1985 359863 8970 2843 3592 1804 2562 5335 1832 367 51 396
1986 479062 278093 5211 1568 1838 996 1467 2779 1021 204 260
1987 91041 251144 156908 2543 644 787 471 677 1202 469 208
1988 39374 70037 135597 46591 1072 230 317 205 301 505 279
1989 28106 25876 49097 70790 12171 551 94 150 99 144 362
1990 36550 20634 17138 26037 32573 5453 355 57 86 56 274
1991 109392 24721 13540 14057 20091 20086 3111 249 39 56 202
1992 322112 83243 15884 10067 10367 12504 12510 1867 164 25 155
1993 820866 221336 57233 10655 5899 6195 7565 7185 1036 100 105
1994 391874 571338 152953 31601 4700 3111 3710 4699 4257 584 114
1995 99788 223916 426415 77999 14673 2085 1413 1843 2160 2106 333
1996 98928 61480 167426 246079 32174 7175 1079 701 922 1082 1240
1997 119383 55872 38053 95886 103434 13867 2488 489 309 408 1074
1998 63142 80677 35423 18027 36960 38560 5184 977 208 129 694
1999 146665 48831 47567 17571 8918 15680 13710 1892 404 92 379
2000 82738 117757 31110 21494 6930 4250 6513 5357 799 184 225
2001 358864 69322 92990 16896 10218 3472 2550 3469 2629 429 231
2002 387214 293667 52046 47599 9198 5453 1861 1425 1900 1378 345
2003 336975 257788 192731 34536 24619 4570 3445 1203 815 1074 977
2004 256950 171382 163823 111262 16362 10687 2134 1640 604 386 1050
2005 356172 171566 94813 110058 50545 6608 5467 1134 724 303 773
2006 153951 216856 109126 52210 44938 20543 3191 2789 552 341 525
2007 510002 121128 165266 61787 26933 19035 8108 1738 1459 282 434
2008 1058248 451315 96907 103435 21896 14048 7072 3271 882 707 350
2009 988708 699320 370783 61951 40303 10248 5295 3115 1442 486 581
2010 233811 662958 589012 232333 32173 15044 4800 2715 1593 772 631
2011 115838 190419 539285 417369 122872 13943 6191 2116 1333 819 807
2012 334439 72947 136377 392253 264407 54702 6047 2545 1024 688 920
2013 117758 200113 57697 93933 273035 126674 23771 3117 1389 580 961
2014 405397 73302 146474 49621 87017 144407 61877 10829 1841 870 976
2015 71800 281444 66070 92443 40396 68286 73527 25707 5333 1002 1012
2016 206504 49731 166886 45992 61953 32968 49053 37849 12796 2552 986
2017 192727 174811 33585 109746 28026 36321 18478 21686 17864 5578 1461
2018 355486 135162 124613 24584 43446 14418 17633 8777 9153 8423 3093
2019 785071 237341 87821 62511 16204 17091 6798 7476 3610 3803 4178
2020 417380 504611 154540 44865 21988 8258 6929 3336 3134 1697 3251
2021 155698 258114 335157 65715 17734 7725 3741 2791 1563 1418 2123
2022 45362 140507 180186 158663 25668 6035 2780 1482 1078 657 1399
2023 172971 35491 105900 111212 68224 9134 2443 1153 657 501 923
2024 438542 106760 29648 62168 53594 27846 3556 1076 515 315 667
2025 494847 278704 63352 20775 34143 28195 12070 1569 492 245 469
2026 286795 328338 191294 32917 13422 17084 14200 6011 811 255 370
 
Table 4.13. Northeast Arctic haddock. SAM model. Estimated stock numbers-at-age.
Year 3 4 5 6 7 8 9 10 11 12 13
 
1950 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1951 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1952 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1953 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1954 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1955 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1956 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1957 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1958 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1959 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1960 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1961 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1962 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1963 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1964 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1965 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1966 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1967 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1968 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1969 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1970 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1971 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1972 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1973 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1974 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1975 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1976 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1977 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1978 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1979 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1980 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1981 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1982 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1983 0.335 0.253 0.241 0.239 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1984 0.216 0.221 0.213 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1985 0.209 0.201 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1986 0.644 0.264 0.2 0.21 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1987 0.2 0.208 0.423 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1988 0.38 0.2 0.2 0.394 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1989 0.2 0.2 0.2 0.234 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1990 0.328 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1991 0.202 0.215 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1992 0.215 0.205 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1993 0.253 0.248 0.276 0.259 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1994 0.29 0.213 0.293 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1995 0.384 0.34 0.315 0.291 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1996 0.721 0.32 0.249 0.279 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1997 0.507 0.266 0.256 0.281 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1998 0.231 0.293 0.27 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1999 0.2 0.209 0.277 0.264 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2000 0.214 0.2 0.216 0.245 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2001 0.21 0.2 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2002 0.324 0.212 0.2 0.204 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2003 0.416 0.249 0.207 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2004 0.415 0.3 0.2 0.229 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2005 0.397 0.304 0.231 0.272 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2006 0.222 0.215 0.276 0.21 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2007 0.292 0.2 0.237 0.326 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2008 0.369 0.273 0.263 0.336 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2009 0.4 0.245 0.278 0.255 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2010 0.355 0.244 0.268 0.28 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2011 0.523 0.46 0.3 0.222 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2012 0.585 0.309 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2013 0.459 0.336 0.246 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2014 0.283 0.206 0.219 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2015 0.34 0.395 0.21 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2016 0.302 0.2 0.244 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2017 0.341 0.296 0.234 0.408 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2018 0.437 0.268 0.271 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2019 0.374 0.266 0.229 0.288 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2020 0.349 0.364 0.303 0.231 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2021 0.211 0.2 0.251 0.23 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2022 0.294 0.2 0.2 0.23 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2023 0.284 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2024 0.26 0.268 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2025 0.242 0.214 0.231 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
 
Table 4.14. Northeast Arctic haddock. SAM model. Natural mortality estimated age 3-6 from 0.20 + consumption from cod, ages 7-13+ natural mortality set to 0.2.
YEAR RECR_a3 TOTBIO TOTSPB LANDINGS YIELDSSB SOPCOFAC FBAR 4–7
1950 81377 242086 134506 132125 0.9823 1.5897 0.832
1951 661481 353540 100989 120077 1.189 1.2272 0.6245
1952 75972 234668 57411 127660 2.2236 1.7404 0.725
1953 1259420 507595 82329 123920 1.5052 1.4279 0.5165
1954 150660 535772 117103 156788 1.3389 1.474 0.3808
1955 67774 484431 178529 202286 1.1331 1.536 0.5122
1956 206229 473692 243406 213924 0.8789 1.2623 0.4335
1957 65344 325693 186191 123583 0.6637 1.2455 0.4328
1958 85964 276341 156887 112672 0.7182 1.1252 0.519
1959 393814 362901 133174 88211 0.6624 0.9405 0.3678
1960 286609 399398 114524 154651 1.3504 1.0411 0.4848
1961 129395 390264 129842 193224 1.4881 0.9942 0.6372
1962 287850 345126 118769 187408 1.5779 1.0518 0.8012
1963 337017 309151 82565 146224 1.771 1.1458 0.8658
1964 393442 300118 63742 99158 1.5556 1.3572 0.653
1965 122843 356627 95288 118578 1.2444 1.1507 0.494
1966 290449 386074 127372 161778 1.2701 1.1621 0.5842
1967 357971 465699 154368 136397 0.8836 0.9984 0.4155
1968 23628 420350 169353 181726 1.0731 0.9976 0.504
1969 21174 341935 183975 130820 0.7111 0.882 0.3978
1970 200167 285676 156009 88257 0.5657 0.9762 0.358
1971 121032 344493 168508 78905 0.4683 0.7638 0.247
1972 1238646 614783 122856 266153 2.1664 1.0883 0.6928
1973 338278 601032 114497 322226 2.8143 1.1656 0.5375
1974 68469 601946 200413 221157 1.1035 0.8946 0.4325
1975 59560 492138 255993 175758 0.6866 0.8957 0.4275
1976 66264 307019 206652 137264 0.6642 1.12 0.5715
1977 133294 228549 141784 110158 0.7769 1.09 0.6848
1978 211289 255050 130545 95422 0.731 0.9219 0.512
1979 174001 316950 129458 103623 0.8004 0.7684 0.5525
1980 34300 342183 133116 87889 0.6602 0.7568 0.3982
1981 13257 292302 148109 77153 0.5209 0.7174 0.402
1982 17203 211539 127150 46955 0.3693 0.7224 0.3093
1983 9488 104263 71449 24600 0.3443 1.0373 0.2718
1984 13433 83502 64118 20945 0.3267 1.0547 0.2498
1985 288301 182801 62013 45052 0.7265 0.9761 0.32
1986 532059 344447 62323 100563 1.6136 1.0484 0.4388
1987 109761 333922 75055 154916 2.064 0.992 0.5958
1988 54857 260048 78425 95255 1.2146 0.9955 0.499
1989 26591 212726 91989 58518 0.6361 0.9774 0.3892
1990 36868 170775 95306 27182 0.2852 1.0159 0.1562
1991 104387 195413 110527 36216 0.3277 1.0374 0.2082
1992 207719 269289 125760 59922 0.4765 0.9797 0.2838
1993 662979 442648 130455 82379 0.6315 1.0031 0.359
1994 292594 545248 151911 135186 0.8899 1.0056 0.425
1995 97981 541645 168162 142448 0.8471 1.0247 0.3828
1996 101927 473731 194897 178128 0.914 1.0175 0.4235
1997 115890 350378 171046 154359 0.9024 1.0519 0.4862
1998 58319 250554 129384 100630 0.7778 1.0113 0.4235
1999 230871 253510 97069 83195 0.8571 1.021 0.4212
2000 89343 251597 89673 68944 0.7688 1.026 0.2802
2001 365892 359154 116827 89640 0.7673 0.9903 0.2792
2002 342478 445901 136237 114798 0.8426 1.011 0.317
2003 223214 476550 159722 138926 0.8698 1.019 0.4298
2004 224655 456467 166091 158279 0.953 1.0192 0.3812
2005 345848 471764 175770 158298 0.9006 1.0029 0.493
2006 154801 413957 148888 153157 1.0287 0.9938 0.4088
2007 657857 492281 145626 161525 1.1092 0.9916 0.4288
2008 1318145 730563 150894 155604 1.0312 0.9928 0.3962
2009 1437570 1071353 174604 200061 1.1458 1.0019 0.3592
2010 520513 1246175 241215 249200 1.0331 0.9994 0.2995
2011 242859 1279636 355362 309785 0.8717 0.9978 0.3205
2012 380170 1159385 439571 315627 0.718 0.9994 0.265
2013 150036 990311 488208 193744 0.3968 0.9967 0.133
2014 375173 991466 534860 177522 0.3319 0.9968 0.1108
2015 100476 929105 546397 194756 0.3564 0.9953 0.1588
2016 251837 836028 514444 233183 0.4533 1.0006 0.2265
2017 171446 707270 426410 227588 0.5337 0.994 0.3555
2018 314347 570693 307423 191276 0.6222 0.9943 0.4315
2019 704188 592607 222829 175402 0.7872 0.9963 0.521
2020 406618 605451 176306 182468 1.035 0.9962 0.5973
2021 193188 545641 158847 204743 1.2889 0.9981 0.6033
2022 77866 463090 153957 176906 1.1491 0.998 0.5322
2023 150727 400408 158437 178898 1.1291 0.9854 0.4942
2024 372200 392974 142597 139992 0.9817 0.9956 0.4775
2025 411185 434212 125169 127074 1.0152 0.9969 0.4785
Table 4.15. Northeast Arctic haddock. Summary XSA (p-shrinkage not applied, F shrinkage= 0.5). FLR Sun Jun 07 18:12:33 2026.
YC recruitment NT1 NT2 NT3 NAK1 NAK2 NAK3 EC01 ECO2
90 820866 NA NA NA NA NA NA NA NA
1991 391874 NA NA 314.53 NA NA 348.73 NA NA
1992 99788 NA 224.79 54.86 NA 187.96 41.47 NA NA
1993 98928 604.2 199.52 55.84 887.82 88.59 29.97 NA NA
1994 119383 1429.04 265.08 79.63 1198.18 94.52 57.27 NA NA
1995 63142 300.78 90.81 21.68 132.6 26.51 33.78 NA NA
1996 146665 1117.83 196.7 56.92 508.87 150.99 83.67 NA NA
1997 82738 248.27 83.2 24.08 210.96 30.11 36.39 NA NA
1998 358864 1207.98 437.22 294 653.4 404.77 233.45 NA NA
1999 387214 832.3 446.84 312.87 1063.01 266.12 255.2 NA NA
2000 336975 1230.98 475.31 352.24 753.01 267.9 203.68 NA NA
2001 256950 1700.19 471.68 173.13 1315.15 362.35 151.01 NA NA
2002 356172 3327.32 706.61 317.89 2743.74 466.54 221.33 NA 268.46
2003 153951 700.86 386.39 78.8 528.97 143.98 56.32 188.99 114.24
2004 510002 4473.16 1310.22 443.27 2276.46 624.78 209.28 603.79 929.12
2005 1058248 4944.6 1684.83 1591.03 2091.11 953.5 812.41 2270.19 1818.93
2006 988708 3731.19 2042.01 1230.43 2015.71 1753.54 883.68 988.39 1291.86
2007 233811 853.09 317.05 102.45 778.39 209.05 128.07 322.01 143.82
2008 115838 562.61 79.89 52.88 443.93 86.03 54.16 134.83 65.09
2009 334439 1634.82 353.87 316.08 1559.42 288.27 191.63 274.35 113.56
2010 117758 676.31 137.38 57.44 428.46 94.54 67.29 105.26 41.53
2011 405397 1866.96 490.28 381.17 1583.44 407.16 334.82 591.1 222.99
2012 71800 344.58 123.95 30.61 292.71 109.92 24.35 155.94 75.05
2013 206504 1281.4 342.02 163.38 1838.71 246.59 71.81 264.81 145.25
2014 192727 1133.97 561.96 134.94 1593.12 107.18 81.15 319.96 144.86
2015 355486 2299.37 770.04 336.31 1276 331.42 171.03 793.77 189.25
2016 785071 5065.43 1675.64 1075.55 3343.93 810.16 507.61 935.79 NA
2017 417380 3823.29 1125.27 424.22 2925.9 687.8 286.32 NA 585.3
2018 155698 1898.2 267.79 109.8 1544.96 260.72 50.76 379.39 57.78
2019 45362 110.62 25.12 12.2 272.94 15.69 11.4 26.82 35.88
2020 172971 406.3 110.3 82.5 431.68 70.2 77 107.62 106.65
2021 438542 1662.1 583.9 346.71 1797.1 511.1 337.4 691.82 964.83
2022 494847 1343.8 650.98 477.03 1032.7 634.03 369.45 648.48 174.85
2023 286795 2179.51 843.01 218.35 1690.2 529.17 152.52 322.44 534.22
2024 NA 4369.68 1042.53 NA 4070.49 696.46 NA 1061.23 NA
2025 NA 1612.56 NA NA 1300.4 NA NA NA NA
Table 4.16. Northeast Arctic haddock. Input data for recruitment prediction (RCT3)- recruits as 3 year-olds. R3: recruitment estimate from SAM 2026 NT1: Norwegian Russian winter bottom trawl survey age 1 NT2: Norwegian Russian winter bottom trawl survey age. NAK1: Norwegian Russian winter acoustic survey age 1 NAK2: Norwegian Russian winter acoustic survey age 2. ECO1: Ecosystem survey age 1. ECO2: Ecosystem survey age 2. The Russian survey (RT) was discontinued in 2017 and has not been used for recruitment forecast since.
yearclass: 2023                  
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.886 6.122 0.462 0.781 20.000 7.687 12.935 0.533 0.047
NT2 0.761 7.940 0.350 0.861 20.000 6.738 13.069 0.409 0.080
NT3 0.670 8.937 0.106 0.985 20.000 5.391 12.549 0.121 0.333
NAK1 1.221 3.831 0.601 0.677 20.000 7.433 12.904 0.693 0.028
NAK2 0.776 8.180 0.363 0.852 20.000 6.273 13.051 0.424 0.074
NAK3 0.731 8.876 0.151 0.971 20.000 5.034 12.559 0.172 0.333
EC01 0.871 7.381 0.411 0.830 19.000 5.779 12.414 0.473 0.059
ECO2 0.929 7.623 0.562 0.694 19.000 6.283 13.456 0.691 0.028
yearclass: 2024                  
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.871 6.207 0.460 0.769 20.000 8.383 13.505 0.555 0.151
NT2 0.746 7.989 0.362 0.843 20.000 6.950 13.174 0.426 0.255
NT3 NA NA NA NA NA NA NA NA NA
NAK1 1.210 3.868 0.586 0.672 20.000 8.312 13.929 0.733 0.086
NAK2 0.758 8.242 0.373 0.835 20.000 6.547 13.207 0.440 0.240
NAK3 NA NA NA NA NA NA NA NA NA
EC01 0.864 7.435 0.396 0.829 19.000 6.968 13.455 0.486 0.196
ECO2 NA NA NA NA NA NA NA NA NA
yearclass: 2025                  
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.864 6.261 0.472 0.763 19.000 7.386 12.640 0.546 0.480
NT2 NA NA NA NA NA NA NA NA NA
NT3 NA NA NA NA NA NA NA NA NA
NAK1 1.217 3.820 0.600 0.666 19.000 7.171 12.544 0.692 0.299
NAK2 NA NA NA NA NA NA NA NA NA
NAK3 NA NA NA NA NA NA NA NA NA
EC01 NA NA NA NA NA NA NA NA NA
ECO2 NA NA NA NA NA NA NA NA NA
Year-class WAP logWAP int.se            
2023 318932 12.67 0.09            
2024 594395 13.30 0.22            
2025 284429 12.56 0.38            
Table 4.17. Northeast Arctic haddock Analysis by RCT3 ver3.1 - R translation. Data for 6 surveys over 32 year classes : 1990 – 2024 Regression type = C, Tapered time weighting applied, power = 3 over 20 years, Survey weighting not applied, Final estimates shrunk towards mean, Estimates with S.E.'S greater than that of mean included, Minimum S.E. for any survey taken as 0.2, Minimum of 3 points used for regression, Forecast/Hindcast variance correction used.
2026                  
  Age N M Mat PF PM SWt Sel CWt
  3 286795 0.262 0.023 0 0 0.218 0.041 0.631
  4 328338 0.227 0.079 0 0 0.467 0.169 0.873
  5 191294 0.21 0.244 0 0 0.852 0.345 1.205
  6 32917 0.2 0.436 0 0 1.136 0.481 1.392
  7 13422 0.2 0.764 0 0 1.769 0.53 1.836
  8 17084 0.2 0.844 0 0 1.952 0.47 1.989
  9 14200 0.2 0.907 0 0 2.235 0.47 2.228
  10 6011 0.2 0.953 0 0 2.649 0.47 2.559
  11 811 0.2 1 0 0 3.072 0.47 3.005
  12 255 0.2 1 0 0 3.664 0.47 3.406
  13 370 0.2 1 0 0 4.015 0.47 3.852
2027                  
  Age N M Mat PF PM SWt Sel CWt
  3 594395 0.262 0.029 0 0 0.271 0.041 0.691
  4 0 0.227 0.065 0 0 0.413 0.169 0.815
  5 0 0.21 0.195 0 0 0.742 0.345 1.105
  6 0 0.2 0.471 0 0 1.204 0.481 1.454
  7 0 0.2 0.666 0 0 1.495 0.53 1.674
  8 0 0.2 0.89 0 0 2.186 0.47 2.085
  9 0 0.2 0.923 0 0 2.354 0.47 2.239
  10 0 0.2 0.952 0 0 2.623 0.47 2.52
  11 0 0.2 1 0 0 3.028 0.47 2.777
  12 0 0.2 1 0 0 3.26 0.47 3.166
  13 0 0.2 1 0 0 3.981 0.47 3.777
2028                  
  Age N M Mat PF PM SWt Sel CWt
  3 284429 0.262 0.027 0 0 0.279 0.041 0.7
  4 0 0.227 0.082 0 0 0.475 0.169 0.882
  5 0 0.21 0.162 0 0 0.661 0.345 1.031
  6 0 0.2 0.395 0 0 1.057 0.481 1.32
  7 0 0.2 0.701 0 0 1.586 0.53 1.728
  8 0 0.2 0.827 0 0 1.879 0.47 1.948
  9 0 0.2 0.949 0 0 2.604 0.47 2.327
  10 0 0.2 0.96 0 0 2.756 0.47 2.528
  11 0 0.2 1 0 0 3.015 0.47 2.744
  12 0 0.2 1 0 0 3.23 0.47 3.013
  13 0 0.2 1 0 0 3.584 0.47 3.578
Table 4.18. Northeast Arctic haddock. Prediction with management option table: Input data (based on SAM estimates and forecast estimates according to stock annex).
2026            
Biomass SSB FMult FBar Landings  
525894 164780 0.9369 0.3572 153293    
202 7         202 8  
Biomass SSB FMult FBar Landings Biomass SSB
643062 186998 0 0 0 835652 299789
    0.1 0.0381 22606 815269 288072
    0.2 0.0763 44415 795667 276862
    0.3 0.1144 65459 776814 266136
    0.4 0.1525 85771 758677 255872
    0.5 0.1906 105378 741226 246050
    0.6 0.2288 124311 724434 236651
    0.7 0.2669 142595 708272 227655
    0.8 0.3050 160256 692714 219044
    0.9 0.3431 177320 677735 210802
    1 0.3813 193810 663311 202912
    1.1 0.4194 209750 649419 195358
    1.2 0.4575 225160 636036 188126
    1.3 0.4956 240062 623143 181201
    1.4 0.5338 254476 610718 174570
    1.5 0.5719 268421 598742 168220
    1.6 0.6100 281916 587198 162137
    1.7 0.6481 294977 576066 156312
    1.8 0.6863 307622 565331 150732
    1.9 0.7244 319868 554976 145386
    2 0.7625 331728 544986 140264
Table 4.19. Northeast Arctic haddock. Prediction with management option table for 2025-2027.
Year: 2026 F multiplier: 0.9369 Fbar: 0.3572  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 9516 6005 0.0384 1438 62521 286795
4 43144 37665 0.1583 12113 153334 328338
5 47926 57751 0.3232 39768 162982 191294
6 10905 15179 0.4507 16304 37394 32917
7 4801 8814 0.4966 18140 23744 13422
8 5556 11050 0.4404 28146 33348 17084
9 4618 10289 0.4404 28785 31737 14200
10 1955 5002 0.4404 15175 15923 6011
11 264 793 0.4404 2491 2491 811
12 83 282 0.4404 934 934 255
13 120 463 0.4404 1486 1486 370
TOTAL 128887 153293   164780 525894 891497
Year: 2027 F multiplier: 0.918 Fbar: 0.35  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 19332 13358 0.0376 4671 161081 594395
4 27385 22318 0.1551 5701 87711 212375
5 54989 60763 0.3167 32315 165719 223342
6 36579 53185 0.4416 63645 135128 112232
7 6045 10119 0.4866 17098 25673 17173
8 2140 4461 0.4315 13012 14620 6688
9 2881 6450 0.4315 19566 21198 9005
10 2394 6034 0.4315 18690 19633 7485
11 1014 2815 0.4315 9594 9594 3168
12 137 433 0.4315 1394 1394 427
13 105 398 0.4315 1312 1312 329
TOTAL 153000 180336   186998 643062 1186620
Year: 2028 F multiplier: 0.918 Fbar: 0.35  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 9251 6475 0.0376 2143 79356 284429
4 56800 50097 0.1551 17157 209236 440497
5 35682 36788 0.3167 15519 95794 144923
6 42986 56742 0.4416 55067 139409 131892
7 20798 35940 0.4866 65691 93711 59086
8 2765 5386 0.4315 13431 16240 8643
9 1138 2648 0.4315 8789 9262 3557
10 1532 3873 0.4315 12670 13198 4789
11 1273 3494 0.4315 12001 12001 3981
12 539 1624 0.4315 5443 5443 1685
13 129 461 0.4315 1443 1443 403
TOTAL 172893 203528   209354 675094 1083885
Table 4.20. Northeast Arctic haddock. Prediction single option table for 2026-2028 based on HCR. MFDP R version data from file fhcr_fmgmt.xls. Fbar age range: 4-7. Input units are thousands and kg - output in tonnes.

 

Figure 4.1. Northeast Arctic haddock landings (top left 1950-2025), recruitment (top right 1950-2026), fishing mortality (bottom left 1950-2025), and total stock biomass for ages 3+ (TSB) and spawning-stock biomass (SSB) (bottom right 1950–2026). The reference points in the SSB and TSB plot refers to the spawning stock biomass. Fishing mortality and total and spawning stock biomass are given with point wise 95% confidence intervals (shaded areas), recruitment is given with upper 95% confidence interval (bar).
Figure 4.1. Northeast Arctic haddock landings (top left 1950-2025), recruitment (top right 1950-2026), fishing mortality (bottom left 1950-2025), and total stock biomass for ages 3+ (TSB) and spawning-stock biomass (SSB) (bottom right 1950–2026). The reference points in the SSB and TSB plot refers to the spawning stock biomass. Fishing mortality and total and spawning stock biomass are given with point wise 95% confidence intervals (shaded areas), recruitment is given with upper 95% confidence interval (bar).

 

 

Figure 4.2. Northeast Arctic haddock; one step ahead residuals for the final SAM run 2026. Blue circles indicate positive residuals (observations larger than predicted) and red circles indicate negative residuals.
Figure 4.2. Northeast Arctic haddock; one step ahead residuals for the final SAM run 2026. Blue circles indicate positive residuals (observations larger than predicted) and red circles indicate negative residuals.

 

,

 

Figure 4.3 Northeast Arctic haddock. 5 year retrospective plots of top: SSB, Fbar4-7, R3, bottom: recruitment and TSB for years 1950–2026 (Fbar: 1950-2025), estimates from SAM with 95% confidence interval.
Figure 4.3 Northeast Arctic haddock. 5 year retrospective plots of top: SSB, Fbar4-7, R3, bottom: recruitment and TSB for years 1950–2026 (Fbar: 1950-2025), estimates from SAM with 95% confidence interval.

 

 

Figure 4.4. Results of assessment of NEA haddock. TSB, recruits and SSB from AFWG 2024 (blue), JRN-AFWG 2025 (orange) and this year’s (2026) assessment (green) from 2012 and onwards. The points shown as tringles are forecasts.
Figure 4.4. Results of assessment of NEA haddock. TSB, recruits and SSB from AFWG 2024 (blue), JRN-AFWG 2025 (orange) and this year’s (2026) assessment (green) from 2012 and onwards. The points shown as tringles are forecasts.

 

 

Figure 4.5.a. Retrospective plots of SSB (top), recruitment(middle) and fishing mortality (bottom) for assessment years 1950-2025 from the XSA model without P shrinkage, F shrinkage = 0.5
Figure 4.5.a. Retrospective plots of SSB (top), recruitment(middle) and fishing mortality (bottom) for assessment years 1950-2025 from the XSA model without P shrinkage, F shrinkage = 0.5

 

 

Figure 4.5.b. Retrospective plots of SSB (top), recruitment (middle) and fishing mortality for assessment years 1990-2025 from the TISVPA model.
Figure 4.5.b. Retrospective plots of SSB (top), recruitment (middle) and fishing mortality for assessment years 1990-2025 from the TISVPA model.

 

 

Figure 4.6. Comparison of results of assessment of NEA haddock. Recruits, biomass, spawning biomass and F in 1990–2026 by different models: median SAM estimates, XSA with settings mentioned in section 4.9 and TISVPA with settings established in WKDEM 2020.
Figure 4.6. Comparison of results of assessment of NEA haddock. Recruits, biomass, spawning biomass and F in 1990–2026 by different models: median SAM estimates, XSA with settings mentioned in section 4.9 and TISVPA with settings established in WKDEM 2020.

 

 

Figure 4.7 Standard selection pattern model (red) used for short-term forecasts at the current meeting.
Figure 4.7 Standard selection pattern model (red) used for short-term forecasts at the current meeting.

 

 

Figure 4.8 Top left: proportion of the stock (number of individuals) by age in 2026, output from SAM (Table 4.13). Top right: proportion of yield in biomass by age forecasted for 2026, using TAC constraint for 2026, taken from Table 4.20. Bottom left: proportion of the stock (number of individuals) by age in 2027, taken from Table 4.20. Bottom right: proportion of yield in biomass by age forecasted for 2027 applying Fbar=0.35, taken from Table 4.20.
Figure 4.8 Top left: proportion of the stock (number of individuals) by age in 2026, output from SAM (Table 4.13). Top right: proportion of yield in biomass by age forecasted for 2026, using TAC constraint for 2026, taken from Table 4.20. Bottom left: proportion of the stock (number of individuals) by age in 2027, taken from Table 4.20. Bottom right: proportion of yield in biomass by age forecasted for 2027 applying Fbar=0.35, taken from Table 4.20.

 

6. Beaked redfish in subareas 1 and 2 (Northeast Arctic)

6.1 Status of the fisheries

6.1.1 Development of the fishery

A description of the historical development of the fishery in subareas 1 and 2 is found in the ICES stock annex (ICES 2018c) for this stock. An international pelagic fishery for Beaked redfish S. mentella in the Norwegian Sea outside EEZs has developed since 2004 (Figure 6.1). This pelagic fishery, which is further described in the stock annex, is managed by the Northeast Atlantic Fisheries Commission (NEAFC). Since 2014 the directed demersal and pelagic fisheries are reopened in the Norwegian Economic Zone, the Fisheries Protection Zone around Svalbard (Spitsbergen) and, for pelagic fisheries only, in the Fishing Zone around Jan Mayen. The spatial regulation for this fishery is illustrated in Figures 6.2 and 6.3. In 2025, most of the catches of S. mentella from Norwegian fisheries were taken in the Norwegian Exclusive Economic Zone. In contrast, most of the catches from Russian fisheries were taken in the Fisheries Protection Zone around Svalbard (Spitsbergen). Figure 6.2 shows the distribution of catch among national fishing fleets for 2018 to 2025 and the location of Norwegian S. mentella catches in the Norwegian EEZ in 2023 as well as bycatch in other areas. The 44 th Session of the Joint Norwegian-Russian Fisheries Commission decided to split the total TAC among countries as follows: Norway: 72%, Russia: 18%, Third countries: 10% (as bycatch in the fishery protection zone at Svalbard (Spitsbergen): 4.1%, and international waters of the Norwegian Sea (NEAFC-area): 5.9%). This split was reconducted at the 56th session of the commission in 2025.

6.1.2 Bycatch in other fisheries

During 2003–2013, all catches of S. mentella , except the pelagic fishery in the Norwegian Sea outside EEZ, were taken as bycatches in other fisheries. Some of the pelagic catches are taken as bycatches in the blue whiting and herring fisheries. From 2014 onwards most of the catch is taken as targeted catch and no longer as bycatch, following the opening of a targeted fishery in the Norwegian EEZ, Svalbard (Spitsbergen) Fisheries Protection Zone and around Jan Mayen. When fishing for other species it has since 2013 been allowed to have up to 20% redfish (both species S. mentella and S. norvegicus together) in round weight as bycatch outside 12 nautical miles and only 10% bycatch inside 12 nautical miles to better protect S. norvegicus .

6.1.3 Landings prior to 2026 (Tables 6.1-6.7)

Nominal catches of S. mentella by country for subareas 1 and 2 combined are presented in Table 6.1, while they are presented separately for Subarea 1 and divisions 2.a and 2.b in Tables 6.2–6.4. The pelagic catch of S. mentella in the Norwegian Sea outside EEZs reported to NEAFC and/or ICES amounted to 7 739 t in 2018, 6060 t in 2019, 5469 t in 2020, 2 872 t in 2021, 2 680t in 2022, 5t in 2023, 1693 t in 2024 and 3229 t in 2025, as shown by country in Table 6.5. Nominal catches for both redfish species combined (i.e.  S. mentella and S. norvegicus ) by country are presented in Table 6.6. The sources of information used are catches reported to ICES, NEAFC, Norwegian and Russian authorities (foreign vessels fishing in the Norwegian and Russian economic zones) or direct reporting to the JRN-AFWG. Where catches are reported as Sebastes sp., they are split into S. norvegicus and S. mentella by AFWG experts based on available correlation between official catches of these two species in the considered areas. All tables have been updated for 2025, and new figures presented for 2025. Total international landings in 1952–2025 are also shown in Figure 6.1. In 2014, ICES advised that the annual catch in 2015, 2016, and 2017 should be set at no more than 30 000 t and in 2017, ICES advised that the annual catch in 2018 should not exceed 32 658 t. Following the ICES benchmark (WKREDFISH, ICES 2018a) and the subsequent evaluation of a management plan for the stock (WKREBMSE, ICES 2018b) ICES advised an annual catch of no more than 53 757 t for 2019 and 55 860 t in 2020, corresponding to a fishing mortality of F = 0.06, which is consistent with recommended management plan. This was continued in 2020, when ICES advised an annual catch of no more than 66 158 t in 2021 and 67 210 t in 2022, still corresponding to F = 0.06. For 2023-2025, JRN-AFWG advised TACs using status quo F. According to this, an annual catch of no more than 66 779t in 2023 and 70 164t in 2024, corresponding to F = 0.097. Finally, JRN-AFWG advised an annual catch of no more than 67 191 t in 2025 and 69 177 t in 2026, corresponding to F = 0.077. Because of the novelty of the situation, related with reopening fisheries after 10 years of its ban, the total landings of S. mentella in subareas 1 and 2 in 2014, demersal and pelagic catches, amounted to only 18 426 t, then increased from 34 754 t in 2016 to 63 479 t in 2021. The catches have been > 60 000 t since 2021. The catch was 66 220 t in 2025, of which only 3229 t were reported from the pelagic fishery in international waters of the Norwegian Sea. The total landings in 2017 and 2018 were respectively 783 t and 5 388 t above the TAC advised by ICES, but were 8 117 t, 2 229 t, 2 679 t, 5 016 t, 6 313 t below the advised TAC in the years 2019-2023, respectively. The catch was 6 313 t, 3180 t and 971 t below the TAC advised by the JRN-AFWG in the years 2023-2025, respectively. Norway caught the major share of the demersal catches, but Russian demersal catches increased substantially after 2017, particularly in ICES Division 2.b. Subarea 4 (North Sea) is outside the traditional areas handled by this Working Group, and the Beaked redfish catches are therefore not included in the assessment. The total redfish landings (golden and beaked redfish combined) from Subarea 4 were up to 2003 between 1000–3000 t per year. Since 2005 the annual landings from this area have varied between 76 and 341 t (Table 6.7).

6.1.4 Expected landings in 2026

JRN-AFWG has advised on the basis of precautionary considerations that the annual catch should be set at no more than 69 177 t in 2026. The 56th session of the Joint Norwegian-Russian Fisheries Commission decided to follow this advice. In 2026, Norwegian fishing vessels can catch and land up to 49 807 t of redfish in the Norwegian economic zone (NEZ) in a limited area north of 65°20’N (see map in Figure 6.3), in international waters and the fisheries zone around Jan Mayen. Only vessels with cod and saithe trawl permits can participate in the directed fishery for redfish. Each vessel which has the right to participate is assigned a maximum quota, which can be adjusted during the year, per how much of the national quota is exploited. The fishery may be stopped if the total quota is reached. This quota must also cover catches of redfish (both species) in other fisheries. Targeted fishery for redfish with bottom trawls is prohibited in the period from 1 March until 10 May. Investigations were conducted in 2015–2016 to assess whether the protection of females during the main time of larvae release should be improved by extending the period of prohibited fishing until later in May, and to see if the area south of Bear Island (Area 20 in Figure 6.3) can be opened for directed fishing, either with or without sorting grid, and permissions were granted to a small number of vessels of the Norwegian reference fleet for an earlier onset of fishing to gain further data. The hitherto conclusion is that males dominated the catches (more than 70%) in the main fishing areas south and southwest of Bear Island during the investigations from late April until the directed fishery started on 10 May, and that the area south of Bear Island should stay closed during January-February due to smaller S. mentella inhabiting this area at the beginning of the year. Since 2015, Russia has had access to the NEZ when fishing their quota share. The S. mentella TAC for 2026 is 69 177 tonnes. According to the agreed split of the TAC, 49 807 t goes to Norway, 12 452 t to Russia and the remaining 6 918 t of the TAC are divided between third countries in the NEZ and Svalbard (Spitsbergen) Zone and the NEAFC areas. However, some transfer of quotas was made afterwards. 2 000 t of the Norwegian TAC was transferred from Norway to Russia, and 2 100 t of the Norwegian TAC was set aside to cover bycatch in NEZ (1100 t for Russia and 1 000 t for other countries), giving final TACs of 45 707 t for Norway, 15 552 for Russian and 7 918 t for third countries. The bycatch quantum set aside for Russia in NEZ is part of an allocation of 2200 t of redfish bycatch (both S. mentella and S. norvegicus) in NEZ.

Catch in the NEAFC areas in 2025 amounted to 3 229 t while the catch in the national economic zones of Norway and Russia as well as the fisheries protection zone around Svalbard was 62 991 t. The total catch in 2025 was 971 t lower than the agreed TAC.

6.2 Data used in the assessment

Analytical assessment was conducted for this stock following recommendation from the benchmark assessment working group (WKREDFISH, ICES 2018a). Input datasets were updated with the most recently available data. The analytical assessment, based on a statistical catch-at-age model (SCAA), covers the period 1992–2025. The input data consists of the following tables:

  • Total catch in tonnes (Table 6.1)

  • Catch in tonnes in the pelagic fishery Norwegian Sea outside EEZs (Table 6.5)

  • Total catch numbers-at-age 6–19+ (Table 6.8)

  • Catch numbers-at-age 7–19+ in the pelagic fishery (Table 6.9)

  • Weight-at-age 2–19+ in the population (Table 6.12)

  • Maturity-at-age 2–19+ in the population (Table 6.14)

  • Russian autumn survey numbers-at-age 0–11 (Table 6.15)

  • Ecosystem survey numbers-at-age 2–15 (Table 6.17)

  • Winter survey numbers-at-age 2–15 (Table 6.18b)

  • Deep pelagic ecosystem survey proportions-at-age (Table 6.19)

There was no direct observation of catch numbers-at-age for the pelagic fishery in the Norwegian Sea outside EEZs in 2012–2023. Instead, numbers-at-age were estimated based on catch-at-age from previous or following year, and weight-at-age and fleet selectivities (section 6.2.2 in AFWG report 2013). In 2013, 2016, 2019 and 2022, observations from the scientific survey in the Norwegian Sea were used to derive numbers-at-age in the pelagic fishery. This was considered appropriate given that the survey operates in the area of the fishery, with a commercial pelagic trawl and at the time of the start of the fishery.

6.2.1 Length- composition from the fishery (Figure 6.4)

Comparison of length distributions of the Norwegian and Russian catches of S. mentella in 2022–2025 are shown in Figure 6.4. In 2022 and 2023, the length distributions from Russian and Norwegian fleets were almost identical, with maximum catches around 38 cm length. In 2024, length of beaked redfish in Norwegian catches was slightly larger than in Russian catches, whereas in 2025, the length of beaked redfish in the Russian catches were slightly larger than in Norwegian catches. This may be due to differences in the fishing areas. The Russian fleet largely operated in area 2b, and the Norwegian fleet in area 2a.

6.2.2 Catch-at-age (Tables 6.8–6.11, Figure 6.5)

For JRN-AFWG 2022, catch-at-age in the Norwegian fishery was estimated using StoX-Reca for 2014 and 2020. For 2015, 2016 and 2018, running StoX-Reca failed and catch-at-age for the Norwegian Fishery was estimated using the older Biomass program in SAS (Table 6.8). Not enough age readings were available to estimate catch-at-age in 2017, 2019 and 2021. For the pelagic fisheries 2017, 2018, 2020 and 2021 (Table 6.9) proportions-at-age in the catch were derived from proportions at-age in earlier years, weight-at-age and fleet selectivity (section 6.2.2 in AFWG report 2013). This procedure for estimating catch-at-age for recent years in which age data are not available is somewhat problematic. This is because the last year of observation has a large effect on the estimated catch-at-age for several years. At the assessment working group in 2017 and at the benchmark assessment in January 2018, the last year of observations for the catch-at-age was 2014 and the values for the years 2015 and 2016 were extrapolated. Once available, the data for 2015 (demersal) and 2016 (pelagic) were substantially different from these earlier extrapolations. In the 2022 assessment the catch-at-age observations in 2018, had a large effect on the years around it, producing a very large proportion of the 19+ class in the catch and a correspondingly high F 19+ . As the age structure in 2018 was based on less than 1000 aged fish it was decided to use a time-averaged age- length-key (ALK) to convert the length distribution in 2017-2019 and in 2021 to an age distribution. The time- averaged ALK is based on the Norwegian age-length data back to 2009, excluding the years 2017, 2019 and 2021 and on commercial catches with demersal gears. The conversion still produced a fraction of the 19+-group of >60% but F 19+ was lower than in the standard method. Several other options were considered. Firstly, extrapolation as in the standard method but extrapolating also the 19+-group and then rescaling to sum up to 100%, rather than calculating the 19+ as the difference between other ages and 100%. Secondly, calculating the fraction of each age-class as an average of the same cohort’s fraction in the year before and after. Thirdly, as an average of the fraction of the same age-class in the last 3 years with data or last 3 calendar years. Finally, using a combined Russian-Norwegian ALK for individual years. Whilst some of these options produced lower fishing mortalities for the 19+-group, the change in observed selectivity for the demersal catches since 2017 remained largely the same. Therefore, the option of a common ALK across years was chosen as the option with the most sensible underlying reasoning. Age composition of the Russian and Norwegian catches in 2021 was calculated using the age–length key, based on Russian age readings. The joint age–length key for the last three years (2019–2021) was applied. In general, the age distribution in the Norwegian fishery was shifted towards older fish compared to the Russian fishery. In the Russian catches fish at age 15–16 dominated, while in the Norwegian catches 16–17 years old made up the majority of the catches. (Figure 6.5). The proportion (by numbers) of individuals at age 18 and older in the Norwegian catches was almost twice as large as in the Russian ones.

For JRN-AFWG 2024, StoX-Reca again failed in producing catch-at-age data for Norwegian catch in 2022 (Howell et al., 2024). In addition, the older Biomass program could not be run. A simplified method was therefore used. Catch-at-length was calculated (by gear “bottom trawl” and “pelagic trawl”, and by stratum “Norwegian statistical area 12/20” and “other areas”) through a length-weight relationship and length distributions from the Norwegian reference fleet. An age-length-key was used to convert catch-at-length to catch-at-age. Ages were not available for 2025, and proportions-at-age in the catch were derived from proportions at-age in earlier years, similar to earlier years. For JRN-AFWG 2026, catch-at-age data were calculated using the same approach as for JRN-AFWG 2024.

Catch-at-age for the pelagic fleet in 2022 was derived from proportion-at-age in the scientific survey in the Norwegian Sea. Catch-at-age for the 2023-2025 pelagic catches were extrapolated like earlier years. Age–length-keys for S. mentella are uncertain because of the slow growth rate of individuals and therefore these data should be used with caution. Given that age is difficult to derive from length it is important that age readings are available for the most recent years, at the time of the working group.

6.2.3 Weight-at-age (Tables 6.12, 6.13, Figures 6.6, 6.7)

In earlier assessment, weight-at-age in the stock was set equal to the weight-at-age in the catch. This turned out to be problematic because of important fluctuations in reported weight-at-age in the catch that cannot be explained biologically (i.e. these are noisy data). In 2015, it was advised to either use a fixed weight-at-age for the 19+ group, or use a modelled weight-at-age based on catch and survey records (Planque, 2015). The second option was chosen. Weight-at-age in the population was modelled for each year using mixed-effect models of a von Bertalanffy growth function (in weight). In 2018 an attempt was made to model weight-at-age for each cohort (rather than each year of observation). This showed that the growth function is nearly invariant between cohorts. Therefore, it was decided to use a fixed (i.e. common to all years) weight-at-age as input to the Statistical Catch-at-age model. The observed and modelled weight-at-age are presented in Table 6.12 as well as Figures 6.6 and 6.7 (not updated after 2019).

6.2.4 Maturity-at-age (Table 6.14, Figure 6.8)

The proportion maturity-at-age was estimated for individual years using a mixed-effect statistical model (Table 6.14, Figure 6.8). Since JRN-AFWG 2024 maturity-at-age used in the statistical catch-at-age model are identical for every year, based on average values from the previous years.

6.2.5 Natural mortality (Figures 6.9, 6.10)

In previous years, natural mortality for S. mentella was set to 0.05 for all ages and all years. This was based on life-history correlates presented in Hoenig (1983). Thirty-nine alternative mortality estimates were explored during the 2018 benchmark workshop, based on the review work by Kenchington (2014) and several additional recent papers (Then et al , 2014; Hamel, 2014; Charnov et al , 2013). Overall, the mode of these natural mortality estimates is 0.058 which departs only slightly from the original estimate of 0.050 (Figure 6.9). WKREDFISH (ICES, 2018a) decided to continue using 0.050 as the value of M in the assessment model. These estimates were updated for a peer-reviewed paper submitted in 2022 (Höffle and Planque, 2023) with 44 estimators resulting in a mode of the distribution of 0.07. Figure 6.10 shows cod’s predation on juvenile (5–14 cm) redfish during 1984–2020. This time-series confirms the presence of redfish juveniles and may be used as an indicator of redfish abundance. A clear difference is seen between the abundance/consumption ratio in the 1980s and at present. A change in survey trawl catchability (smaller meshes) from 1993 onwards (Jakobsen et al , 1997) and/or a change in the cod’s prey preference may cause this difference. As long as the trawl survey time-series has not been corrected for the change in catchability, the abundance index of juvenile redfish less than 15 cm during the 1980s might have been considerably higher, if this change in catchability had been corrected for. The decrease in the abundance of young redfish in the surveys during the 1990s is consistent with the decline in the consumption of redfish by cod. It is important that the estimation of the consumption of redfish by cod is being continued.

6.2.6 Scientific surveys

Following a dedicated review, ICES AFWG approved the use of the new SToX versions of winter and ecosystem surveys for use in the S. mentella assessment (Höffle and Tranang 2020, Tranang et al. 2020). The group recommended that the data be monitored annually to identify if a significant portion of the mentella stock moves east of the strata system. The group further recommended that work continues to investigate redfish-specific strata systems for the winter survey. The results from the following research vessel survey series were evaluated by the Working Group:

6.2.7 Surveys in the Barents Sea and Svalbard (Spitsbergen) area (Tables 1.1, 1.2, 6.15–6.18, Figures 6.11, 6.12)

Russian bottom-trawl survey in the Svalbard (Spitsbergen) and Barents Sea areas in October-December for 1978–2015 in fishing depths of 100–900 m (Table 6.15, Figure 6.11). ICES acronym: RU-BTr-Q4. Russian-Norwegian Barents Sea ‘Ecosystem survey’ (bottom-trawl survey, August-September) from 1986–2025 in fishing depths of 100–500 m (Figures 6.11–6.12). Data disaggregated by age for the periods 1996–2009 and 2011-2025 (Tables 6.16b-6.17). ICES acronym: Since 2003 part of Eco-NoRu-Q3 (BTr), survey code: A5216.

Winter Barents Sea seabed-trawl survey (February) from 1986–2023 (jointly with Russia since 2000, except 2006 and 2007) in fishing depths of 100–500 m (Figures 6.11–6.12). Data disaggregated by age for the period 1992–2011, 2013, 2018, 2020 and 2023 (Table 6.18b). ICES acronym: BS-NoRu-Q1 (BTr), survey code: A6996.

The Norwegian survey initially designed for redfish and Greenland halibut is now part of the ecosystem survey and covers the Norwegian Economic Zone (NEZ) and Svalbard (Spitsbergen) Fisheries Protection Zone incl. north and east of Spitsbergen during August 1996–2012 from less than 100 m to 800 m depth. This survey includes survey no. 2 above, and has been a joint survey with Russia since 2003, and since then called the Ecosystem survey. ICES acronym: Eco-NoRu-Q3 (Btr), survey code: A5216.

6.2.8 Pelagic survey in the Norwegian Sea (Table 6.19, Figures 6.13, 6.14)

The international deep pelagic ecosystem survey in the Norwegian Sea (WGIDEEPS, ICES 2016, survey code: A3357) monitors deep pelagic ecosystems, focusing on beaked redfish ( S. mentella ). The latest survey was conducted in the open Norwegian Sea from 22 July until 12 August 2022, following similar surveys in 2008, 2009, 2013, 2016 and 2019. The spatial coverage of the 2022 survey and the catch rates of beaked redfish in the 2019 survey are presented in Figure 6.13. The survey is scheduled every third to fourth year, and the next survey will be conducted in August 2026. Estimated numbers-at- age from this survey were presented at the benchmark assessment in 2018 and used in the SCAA model. Data for 2016 was updated in 2019, using additional age readings and numbers-at-age for the 2019 survey were presented during AFWG 2020, used in the assessment and updated for AFWG 2021. The details of the data preparation, using StoX, are available from WD7 of AFWG 2018 (Planque et al. , 2018). The data used as input to the analytical assessment consists of proportions-at-age from age 2 to 75 years (Figure 6.14).

A slope survey, “Egga-sør survey” was carried out by IMR from 29 February to 23 March 2024, following similar surveys in 2009, 2012, 2014, 2016, 2018, 2020, 2022, 2024 and 2026. The spatial coverage of the 2024 survey and the distribution of beaked redfish registered by acoustic is presented in Figure 6.17. Egga-Sør and Egga-Nord surveys operate on a biennial basis. The length and age distributions of beaked redfish from these surveys show consistent ageing in the population and gradual incoming of new cohorts after the recruitment failure period. These surveys are considered as candidates for data input to the analytical assessment of S. mentella (see also Planque, 2016).

6.3 Assessment

The group performed the analytical assessment using the statistical catch-at-age (SCAA) model reviewed at the benchmark in January 2018 (WKREDFISH, ICES 2018a). The model was configured as the benchmark baseline model which includes 53 parameters to be estimated and the model converged correctly.

6.3.1 Results of the assessment (Tables 6.20, 6.21, Figures 6.18–6.20)

6.3.2 Stock trends

The temporal patterns in recruitment-at-age 2 (Figures 6.18 and 6.19) imply recruitment failure for the year classes 1996 to 2003 and indicate a return to high levels of recruitment. The estimates of year-class strength for recent years are uncertain due to limited age data from the winter and ecosystem surveys. Modelled spawning-stock biomass (SSB) increased from 1992 to 2007 (Table 6.19). In the late 2000s the total-stock biomass (TSB) consisted of a larger proportion of mature fish than in the 1990s. This is reversing as individuals from new successful year classes, but still immature, are growing. TSB has increased from about 1.0 to slightly above 1.5 million tonnes in the last 25 years (Table 6.21, Figure 6.19 and Figure 6.20). The concurrent decline in SSB from 2007 to 2014 can be attributed to the weak year classes (1996–2003) entering the mature stock. This trend has levelled off, and SSB has increased every year after 2017. SSB at the start of 2026 is estimated at 987 261 t.

6.3.3 Fishing mortality (Tables 6.20a,b–6.21, Figure 6.21)

The patterns of fleet selectivity-at-age indicate that most of the fish captured by the demersal fleet as well as the pelagic fleet in 2025 are of age 15 and older (Tables 6.20a,b and Figure 6.21). Model results at the benchmark workshop did show a gradual shift in the demersal selectivity towards older ages, a shift that was not observed after the 2015 catch-at-age data were incorporated in the model. This shift towards older ages is now again visible in the data from 2017 onwards, similar to what was observed in 2014. In 2025, F 19+ is estimated at 0.065(Table 6.21), with 0.061 for the demersal and 0.0029 for the pelagic fleets (Table 6.20a), respectively.

6.3.4 Survey selectivity patterns (Figure 6.22)

Winter and ecosystem surveys selectivity at age are very similar and show reduced selectivity for age 8 years and older, which is consistent with the known geographical distribution of different life stages of S. mentella (Figure 6.22). Conversely, the Russian survey shows a reduced selectivity for age 7 years and younger. This is believed to result from gear selectivity.

6.3.5 Residual patterns (Figures 6.23-6.27)

Residual patterns in catch and survey indices are presented in Figures 6.23-6.27. There is generally no visible trend in the residuals for the Russian groundfish survey neither by age nor by year. Trends in residuals are visible in recent years for winter and ecosystem surveys and will need to be investigated further. Alternative methods for the estimation of the survey selectivity patterns will be investigated in the benchmark assessment planned for 2026 and could resolve the issue. Residual patterns for the demersal fleet indicate a similar fit of the model compared to AFWG 2018, when a time varying selectivity-at-age for this fleet was introduced.

6.3.6 Retrospective patterns (Figures 6.28 and 6.29)

The historical and analytical retrospective patterns are presented in Figures 6.28 and 6.29. All model parameters were estimated in each individual run. Retrospective runs were performed for terminal years from 2018 through 2024, with all model parameters re-estimated in each run by sequentially removing one year of data. The figures and retro data confirm that the retrospective pattern remains stable with the addition of new years. The current assessment shows that SSB values for earlier years are generally higher than those from previous retrospectives. The upward revision is modest for recent years (typically 2–7%), and larger for the earliest years in the time series (up to ~26%). Estimates of F remain consistent across retro runs, with only minor deviations in the most recent years. The pattern for F (ages 19+) is stable up to 2018, after which small differences appear. Recruitment estimates are variable, but the overall pattern is consistent across retrospectives, with no major deviations in the most recent runs. The addition of new data since the last benchmark confirms the stability of the model and the consistency of the assessment results.

6.3.7 Projections

FMSY at age 19+ is approximated using F0.1 and estimated at 0.084 (section 1.4 of the WKREBMSE report, ICES 2018b).

If the fishing mortality is maintained (Status quo F), this is expected to lead to a catch of 66 475 t in 2026, which is approximately 2 700 t less than the advised TAC for 2026. This would lead to a SSB of 1 001 840 t in early 2027, catches of 67 090 t in 2027 and a SSB of 1 021 893 t in 2028. Zero catch in 2027 would lead to an SSB of 1 081 170 t t in 2028. These projections assume that the selectivity patterns of the demersal and pelagic fleets are identical with those estimated for 2023. It is also assumed that the ratio of fishing mortality between these two fleets remains unchanged.

6.3.8 Additional considerations

Historical fluctuations in the recruitment-at-age 2 (Figures 6.18 and 6.21) are consistent with the 0-group survey index (Figure 6.16), although the 0-group survey index is not used as an input to the SCAA. The population age structure derived from the model outputs for the old individuals (beyond 19+, Figure 6.22) is consistent with the age structure reported from the slope surveys although these are not yet used as input to the model. Recent recruitment levels estimated with SCAA are highly uncertain since they rely on only a few years of observations and since the age readings from winter survey were not available for most of the recent years. The use of the autoregressive model for recruitment (random effects in the SCAA) which was introduced in 2018 allows for a projection of the recruitment in recent years, despite the current lack of age data.

6.3.9 Assessment summary (Table 6.21, Figure 6.21)

The history of the stock as described by the SCAA model for the period 1992–2025 is summarized in Table 6.21 and Figure 6.21. The key elements are as follows:

  • upward trend in Total-stock biomass from 1992 to 2006 followed by stabilization until 2011 and a new upward trend until the present,

  • upward trend in spawning-stock biomass from 1992 to 2007 followed by stabilization (or slight decline) until 2014 and subsequent increase,

  • recruitment failure for year classes 1996–2003 (2y old fish in 1998–2005),

  • good (although uncertain) recruitment for year classes born after 2005. Age data for recruits (at age 2y) after 2014 is limited.

  • Annual fishing mortality for the 19+ group throughout the assessment period varied between 0.003 and 0.083.

6.4 Comments to the assessment

Currently, the survey series used in the SCAA do not appropriately cover the geographical distribution of the adult population. Data from the pelagic survey in the Norwegian Sea has been reviewed in the last benchmark and is now included in the assessment model. Priority should be given to including additional data from the slope surveys that include older age groups, in analytical assessments in future (Planque 2016). The SCAA model relies on the availability of reliable age data in surveys and in the catch, and it requires a continuous effort to keep these data at an appropriate level.

A benchmark is planned for 2027.

6.5 Biological reference points

The proposed reference points estimated during the workshop on the management plan for S. mentella in (ICES 2018b) were:

Reference point Value
Blim 227 000 t
Bpa 315 000 t
FMSY19+ = F0.1 0.084

These were revised from those set during the benchmark in the same year (ICES 2018a) which were Bpa = 450 kt, B = 324 kt and FMSY19+ = F0.1 = 0.08.

6.6 Management advice

The present report updates the assessment and advises that when the status quo approach is applied, catches in 2027 should be no more than 67 090 tonnes. This would correspond to a fishing mortality of F19+ = 0.065, whilst fishing pressure across the fishable age-classes would remain nearly constant.

6.7 Future development of the assessment

A benchmark will be conducted in 2027. The following issues are expected to be addressed during the benchmark: - Direct use of length information (as in GADGET) - The inclusion of e.g., data from slope surveys in the analytical assessment, preferably by means of a survey index derived from a spatio-temporal generalized linear mixed-effects model, as recently implemented in a new stock assessment for Golden redfish ( S. norvegicus ) in subareas 1 and 2 (ICES 2026, Vihtakari et al., 2026).

6.8 References

Charnov, E.L., Gislason, H., and Pope, J.G. 2013. Evolutionary assembly rules for fish life histories. Fish Fish. 14(2): 213-224. Hamel, O.S. 2014. A method for calculating a meta-analytical prior for the natural mortality rate using multiple life history correlates. ICES J. Mar. Sci. 72(1): 62-69. Höffle H. and Tranang C. A. 2020. Use of RstoX for recalculating numbers at age of Sebastes mentella from the joint NOR-RUS Barents Sea Ecosystem Survey in summer and autumn. WD18 - ICES AFWG2020. Höffle H. and Planque B. (2023). Natural mortality estimations for beaked redfish (Sebastes mentella) - a long-lived ovoviviparous species of the Northeast Arctic. Fisheries Research 260: 106581. Hoenig, J. M. 1983. Empirical use of longevity data to estimate mortality rates. Fisheries Bulletin U.S. 81:898- 903. Howell, D., M. Aune, B. Bogstad, et al. 2024. Joint Russian Norwegian Arctic Fisheries Working Group (JRN-­ AFWG) Report 2024.

ICES, 2010, Report of workshop on the Determination of Acoustic Target Strength of Redfish (WKTAR). ICES CM 2010/SSGESST:15, 29 p. ICES 2013. Report of the Arctic Fisheries Working Group, Copenhagen, 18-24 April 2013. ICES C.M. 2013/ACOM:05, 726 pp. ICES 2016. Final Report of the Working Group on International Deep Pelagic Ecosystem Surveys (WGIDEEPS). ICES CM, ICES CM 2016/SSGIEOM:02: 21pp. ICES. 2018a. Report of the Benchmark Workshop on Redfish Stocks (WKREDFISH), 29 January-2 February 2018, Copenhagen, Denmark. ICES CM 2018/ACOM:34. 174 pp. ICES. 2018b. Report of the Workshop on the evaluation of harvest control rules for Sebastes mentella in ICES areas 1 and 2 (WKREBMSE), June–August 2018, by correspondence. ICES CM 2018/ACOM:52. 32 pp. ICES. 2018c. Stock Annex: Beaked redfish (Sebastes mentella) in subareas 1 and 2 (Northeast Arctic). Stock Annex: Beaked redfish (Sebastes mentella) in subareas 1 and 2 (Northeast Arctic) (figshare.com) ICES. 2026. Benchmark Workshop on Whiting, Norway Pout, and Golden Redfish (WKBWNG). ICES Scientific Reports. 8:27. 131 pp. https://doi.org/10.17895/ices.pub.32019630. Jakobsen, T., Korsbrekke, K., Mehl, S., and Nakken, O. 1997. Norwegian combined acoustic and bottom trawl surveys for demersal fish in the Barents Sea during winter. ICES CM 1997/Y:17. Kenchington, T.J. Natural mortality estimators for information‐limited fisheries. Fish and Fisheries, 2014, 15.4: 533-562. Planque, B. 2015. S. mentella assessment - handling the +group.: WD03 - ICES AFWG2015. 8 pp. Planque, B. 2016. Possible use of the Pelagic and slope surveys in the analytical assessment of Sebastes mentella in ICES areas 1 and 2.: WD05 - ICES AFWG2016. 6 pp. 180/305 Planque, B., Vollen, T., Höffle, H., Harbitz A., 2018. Use of StoX for estimating numbers@age of Sebastes mentella from the international deep pelagic ecosystem survey in the Norwegian Sea.: WD07 – ICES AFWG2018. 38 pp. Then, A. Y., Hoenig, J. M., Hall, N. G., and Hewitt, D. A. 2018. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES Journal of Marine Science, 75: 1509–1509. https://doi.org/10.1093/icesjms/fsx199 (Accessed 18 January 2021). Tranang C. A., Vollen T. and Höffle H. 2020. Use of StoX for recalculating numbers at age and numbers at length of Sebastes norvegicus from the Barents Sea NOR-RUS demersal fish cruise in winter.: WD17 – ICES AFWG2020. 60 pp. Vihtakari M, Aune M, Assmann KM, Howell D, Hallfredsson EH, Ward EJ (2026) Demersal distribution and fisheries independent trends of beaked and golden redfish in the Barents and Norwegian Seas. ICES Journal of Marine Science 83: fsag009. https://doi.org/10.1093/icesjms/fsag009.

6.9 Tables and figures

Year Faroe Islands France Germany Latvia Lithuania Norway Portugal Russia Spain UK2 Others Total
1993 13 50 35 - - 5 182 963 6 260 5 293 13 12 814
1994 4 74 18 - - 6 511 895 5 021 30 136 32 12 721
1995 3 16 176 - - 2 646 927 6 346 67 97 6 10 284
1996 4 75 119 - - 6 053 467 925 328 99 5 8 075
1997 4 37 81 - - 4 657 474 2 972 272 78 23 8 598
1998 20 73 100 - - 9 733 125 3 646 177 134 36 14 044
1999 73 26 202 - - 7 884 65 2 731 29 140 59 11 209
2000 50 12 62 - - 6 021 115 3 519 87 130 80 10 076
2001 74 16 198 - - 13 937 179 3 775 90 120 29 18 418
2002 75 58 99 - - 2 151 242 3 904 190 188 86 6 993
2003 64 22 32 - - 1 210 44 952 47 124 25 2 520
2004 588 13 10 - - 1 375 235 2 879 257 76 60 5 493
2005 1 147 46 33 - - 1 759 140 5 023 163 95 59 8 465
2006 3 808 215 2 483 341 845 4 710 1 804 11 413 710 1 027 5 905 33 261
2007 2 197 234 520 349 785 3 209 1 483 5 660 2 181 202 3 398 20 218
2008 1 849 187 16 267 117 2 220 713 7 117 463 83 64 13 096
2009 1 343 15 42 - - 2 677 806 3 843 177 80 1 263 10 246
2010 979 175 21 243 457 2 064 293 6 414 1 184 79 14 11 923
2011 984 175 835 536 565 2 471 613 5 037 1 678 55 13 12 962
2012 259 - 517 447 449 2 115 1 038 4 101 1 780 - 354 11 060
2013 697 - 80 280 262 1 750 1 078 3 677 1 459 - 106 9 389
2014 743 215 446 215 167 13 149 505 1 704 1 162 - 121 18 427
2015 657 49 242 537 192 19 433 678 1 142 2 529 52 59 25 570
2016 502 134 493 1 243 1 065 18 190 1 066 8 419 3 213 122 306 34 753
2017 443 45 763 562 790 17 077 1 060 6 593 2 838 436 175 30 782
2018 425 67 2 473 1 020 1 010 18 593 699 10 497 2 457 63 741 38 045
2019 156 370 1 599 - 653 23 844 1 422 13 444 2 222 590 1 340 45 640
2020 149 163 1 807 - 1 081 32 949 889 13 874 744 437 1 563 53 656
2021 290 218 1 166 - 1 379 43 794 381 14 887 615 655 94 63 479
2022 235 221 1 758 - 990 40 715 464 16 717 278 114 702 62 194
2023 154 128 626 - - 44 542 358 13 976 295 152 154 60 385
20241 2 037 131 481 1 - 47 220 466 16 235 104 75 234 66 984
20251 1 865 87 1 895 - - 46 292 387 15 494 140 51 9 66 220
1 - Provisional figures.
2 - UK(E&W) + UK(Scot.)
Table 6.1. S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1, divisions 2.a and 2.b combined.
Year Faroe Islands France Germany Greenland Norway Russia Spain Others Total
1993 2 - - - 16 588 - - 606
1994 2 - 2 - 36 308 - - 348
1995 2 - - - 20 203 - - 225
1996 - - - - 5 101 - - 106
1997 - - - 3 12 174 - 1 190
1998 20 - - - 26 378 - - 424
1999 69 - - - 69 489 - - 627
2000 - - - - 47 406 - 48 501
2001 - - - - 8 296 - 3 307
2002 - - - - 4 587 - - 591
2003 - - - - 6 292 - - 298
2004 - - - - 2 355 - - 357
2005 - - - - 3 327 - - 330
2006 2 - - - 12 460 - 2 476
2007 - - - - 11 210 - 28 249
2008 - - - - 5 155 - 2 162
2009 - - - - 3 80 - 8 91
2010 - - - - 20 10 - - 30
2011 - - - - 48 13 - - 61
2012 - - - - 34 17 - - 51
2013 - - - - 64 27 - - 91
2014 - - - - 159 63 - - 222
2015 - - - 18 138 125 - 1 282
2016 - - - - 225 229 342 1 797
2017 - - - 12 207 196 - 3 418
2018 - - 19 26 255 376 - 3 679
2019 83 4 - 13 369 206 19 22 716
2020 35 12 6 21 335 118 1 12 540
2021 87 31 - 14 195 367 1 4 699
2022 91 2 3 20 509 88 1 - 714
2023 56 8 31 17 997 145 69 5 1 328
20241 125 4 34 5 1 436 327 6 11 1 948
20251 59 7 15 - 491 39 13 3 627
1 - Provisional figures.
Table 6.2. S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1.
Year Faroe Islands France Germany Latvia Lithuania Norway Portugal Russia Spain UK2 Others Total
1993 11 15 35 - - 5 029 648 5 328 - 2 1 11 069
1994 2 33 16 - - 6 119 687 4 692 8 4 3 11 564
1995 1 16 176 - - 2 251 715 5 916 65 43 4 9 187
1996 - 75 119 - - 5 895 429 677 5 61 3 7 264
1997 - 37 77 - - 4 422 410 2 341 9 55 14 7 365
1998 - 73 58 - - 9 186 118 2 626 55 106 20 12 242
1999 - 16 160 - - 7 358 56 1 340 14 120 53 9 117
2000 50 11 35 - - 5 892 98 2 167 18 103 29 8 403
2001 63 12 161 - - 13 636 105 2 716 18 95 21 16 827
2002 37 54 59 - - 1 937 124 2 615 8 157 63 5 054
2003 58 18 17 - - 1 014 17 448 8 102 18 1 700
2004 555 8 4 - - 987 86 2 081 7 18 18 3 764
2005 1 101 36 17 - - 1 083 71 3 307 20 15 44 5 694
2006 3 793 199 2 475 845 - 4 010 1 731 10 110 589 958 5 864 30 574
2007 2 157 226 519 785 349 3 043 1 395 5 061 2 159 120 3 387 19 201
2008 1 821 179 9 117 267 1 952 666 6 442 430 62 56 12 001
2009 1 316 7 23 - - 2 208 764 3 305 137 62 1 252 9 074
2010 961 175 13 457 243 1 705 246 5 903 1 183 55 14 10 955
2011 932 175 697 561 536 1 682 599 4 326 1 656 19 2 11 185
2012 259 - 469 449 447 1 500 1 038 3 478 1 770 - 343 9 753
2013 675 - 24 262 280 871 1 055 3 293 1 435 - 90 7 985
2014 728 209 411 167 215 4 089 505 1 334 1 159 - 117 8 934
2015 657 49 236 192 537 11 410 678 480 2 508 47 34 16 828
2016 495 107 493 1 065 1 243 8 887 1 052 3 949 2 862 71 268 20 492
2017 425 38 763 790 562 7 348 1 059 3 922 2 813 429 141 18 290
2018 400 47 2 440 1 010 876 14 057 699 4 721 2 435 62 704 27 451
2019 73 363 1 599 652 - 17 741 1 421 7 366 2 184 569 768 32 736
2020 112 146 1 797 1 081 - 22 854 880 6 085 737 403 1 532 35 627
2021 151 182 1 128 1 379 - 35 798 377 6 008 535 552 76 46 186
2022 112 187 1 693 990 - 28 666 441 7 793 92 11 679 40 664
2023 73 37 518 - - 38 527 329 2 089 213 62 103 41 951
20241 1 905 71 402 - - 39 005 460 4 357 50 9 221 46 480
20251 1 744 54 1 853 - - 42 334 384 7 203 95 - 3 53 670
1 - Provisional figures.
2 - UK(E&W) + UK(Scot.)
Table 6.3. S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Division 2.a (including landings from the pelagic trawl fishery in the international waters)
Year Faroe Islands France Germany Greenland Norway Portugal Russia Spain UK2 Others Total
1993 - 35 - - 137 315 344 57 291 12 1 191
1994 - 41 - - 356 208 21 22 132 29 809
1995 - - - - 375 212 227 2 54 2 872
1996 4 - - - 153 38 147 323 38 2 705
1997 4 - 3 1 223 64 457 263 22 5 1 042
1998 - - 42 - 521 7 642 122 29 16 1 379
1999 4 10 42 - 457 9 902 15 20 6 1 465
2000 - 1 27 - 82 17 946 69 27 3 1 172
2001 11 4 37 - 293 74 763 72 25 5 1 284
2002 38 4 40 - 210 118 702 182 31 23 1 348
2003 6 4 15 - 190 27 212 39 22 7 522
2004 33 5 6 - 386 149 443 250 58 42 1 372
2005 46 10 17 1 673 69 1 389 143 80 14 2 442
2006 13 16 8 11 688 73 843 121 67 30 1 870
2007 40 8 1 - 155 88 389 22 62 3 768
2008 28 8 7 1 263 47 520 33 19 6 932
2009 27 8 19 - 466 42 458 41 17 7 1 085
2010 18 - 8 - 339 47 501 1 24 - 938
2011 52 - 139 - 741 14 698 23 36 15 1 718
2012 - - 48 - 581 - 606 10 - 11 1 256
2013 22 - 56 - 815 23 357 23 - 16 1 312
2014 15 6 34 - 8 901 - 307 3 - 4 9 270
2015 - - 6 5 7 885 - 536 21 5 1 8 459
2016 7 27 - 14 9 078 14 4 241 9 50 24 13 464
2017 18 7 1 10 9 522 1 2 476 25 7 9 12 076
2018 25 20 14 6 4 281 - 5 400 22 1 147 9 916
2019 - 4 - 543 5 734 - 5 873 19 17 - 12 190
2020 2 5 4 4 9 760 - 7 671 6 34 - 17 486
2021 52 6 38 1 7 801 - 8 512 79 103 3 16 595
2022 32 32 62 3 11 540 23 8 836 185 104 - 20 817
2023 25 83 78 - 5 018 24 11 742 12 89 33 17 104
20241 7 56 45 - 6 779 3 11 551 48 66 1 18 556
20251 62 26 27 - 3 467 - 8 252 32 51 6 11 923
1 - Provisional figures.
2 - UK(E&W) + UK(Scot.)
Table 6.4. S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Division 2.b.
Year Faroe Islands Germany Latvia Lithuania Norway Poland Portugal Russia Spain Others Total
2002 - 9 - - - - - - - - 9
2003 - 40 - - - - - - - - 40
2004 500 2 - - - - - 1 510 - - 2 012
2005 1 083 20 - - - - - 3 299 - - 4 402
2006 3 766 2 475 341 845 2 862 2 447 1 697 9 390 575 4 372 28 770
2007 1 968 497 349 785 1 813 1 079 1 377 3 645 2 155 2 489 16 157
2008 1 797 - 267 117 330 - 641 4 901 390 - 8 443
2009 1 253 - - - - 337 701 1 975 135 889 5 290
2010 912 - 243 457 450 - 244 5 103 820 - 8 229
2011 740 693 536 561 342 - 595 3 621 1 648 175 8 911
2012 259 469 447 449 - 311 1 038 2 714 1 768 31 7 486
2013 675 - 280 262 1 68 1 078 2 720 1 435 8 6 527
2014 697 409 215 167 - 100 505 795 1 146 - 4 034
2015 606 231 537 192 - - 678 - 2 508 - 4 752
2016 393 493 1 243 1 065 9 - 821 512 2 862 - 7 398
2017 296 761 562 790 - 14 791 1 014 2 624 - 6 852
2018 400 2 192 876 1 010 - 116 372 - 2 399 374 7 739
2019 - 1 157 - 652 1 364 1 096 117 1 908 765 6 060
2020 - 1 380 - 1 081 - - 480 25 737 1 766 5 469
2021 - 514 - 1 379 - - 84 498 280 117 2 872
2022 - 938 - 990 - - 88 - - 664 2 680
2023 - - - - - - - - - 5 5
20241 1 682 - - - - - - - - 11 1 693
20251 1 488 1 099 - - - - - 639 - 3 3 229
1 - Provisional figures.
Table 6.5. S. mentella in subareas 1 and 2. Nominal catch (t) by countries of the pelagic fishery in international waters of the Norwegian Sea (see text for further details).
Year Faroe Islands France Germany2 Latvia Lithuania Norway Portugal Russia3 Spain UK4 Others Total
1984 - 2 970 7 457 - - 18 650 1 806 69 689 25 716 - 101 313
1985 - 3 326 6 566 - - 20 456 2 056 59 943 38 167 - 92 552
1986 - 2 719 6 136 - - 24 529 2 864 38 509 - 227 29 75 013
1987 200 1 674 7 150 - - 19 539 2 350 13 411 50 289 450 45 113
1988 - 3 349 2 355 - - 24 662 500 9 139 26 470 973 41 474
1989 338 1 907 4 245 - - 25 295 340 14 344 5 272 - 46 746
1990 386 1 821 6 741 - - 34 090 830 18 904 - 333 37 63 142
1991 639 791 981 - - 49 464 166 15 354 1 349 23 67 768
1992 58 1 301 530 - - 23 451 977 4 335 16 484 623 31 775
1993 152 921 685 - - 18 319 1 040 7 573 13 735 27 29 465
1994 26 771 1 026 - - 21 466 985 6 220 34 272 41 30 841
1995 30 748 693 - - 16 162 936 6 985 67 265 14 25 900
1996 42 746 618 - - 21 654 522 1 641 409 426 39 26 097
1997 7 1 011 538 - - 18 839 535 4 556 308 264 51 26 109
1998 98 567 231 - - 26 273 131 5 278 228 305 88 33 199
1999 108 61 430 - - 24 634 68 4 422 36 309 127 30 195
2000 67 25 222 - - 19 052 131 4 631 87 203 118 24 536
2001 111 46 436 - - 23 071 186 4 738 91 239 47 28 965
2002 135 89 141 - - 10 712 276 4 736 193 234 120 16 636
2003 173 30 154 - - 8 063 50 1 431 47 258 154 10 360
2004 607 17 78 - - 7 608 240 3 601 260 145 143 12 699
2005 1 194 56 105 - - 7 844 196 5 637 171 147 151 15 501
2006 3 919 223 2 518 341 845 11 015 1 873 12 126 719 1 066 6 004 40 649
2007 2 343 249 587 349 785 8 993 1 708 6 550 2 186 257 3 583 27 590
2008 2 123 250 46 267 117 7 436 785 7 866 467 168 170 19 695
2009 1 413 16 100 - - 8 128 836 4 541 177 111 1 411 16 733
2010 1 150 226 52 243 457 8 058 321 6 979 1 187 123 109 18 905
2011 1 008 228 844 536 565 7 152 638 5 956 1 684 68 135 18 814
2012 346 182 588 447 449 6 362 1 055 4 782 1 780 100 486 16 577
2013 780 353 81 280 262 5 586 1 114 4 474 1 459 493 180 15 062
2014 810 434 452 215 167 16 589 510 2 510 1 162 211 192 23 252
2015 733 102 266 537 192 22 210 678 1 806 2 531 109 323 29 487
2016 685 164 497 1 243 1 065 22 322 1 066 9 283 3 213 198 481 40 217
2017 566 62 782 562 790 20 644 1 150 7 890 2 882 596 330 36 254
2018 571 104 2 539 1 020 1 010 23 554 766 12 331 2 469 100 922 45 386
2019 392 395 1 692 - 656 29 795 1 495 15 373 2 287 615 1 499 54 199
2020 315 164 1 895 - 1 081 39 452 969 16 489 750 456 1 724 63 295
2021 613 224 1 242 - 1 379 51 497 441 16 624 623 751 280 73 674
2022 546 241 1 818 - 990 48 268 537 19 257 282 122 1 083 73 144
2023 345 164 744 - - 52 212 459 16 248 325 168 488 71 153
20241 2 227 150 550 1 - 54 849 496 18 304 116 79 592 77 364
20251 2 280 162 1 918 - - 54 910 387 17 563 151 54 230 77 655
1 - Provisional figures.
2 - Includes former GDR prior to 1991.
3 - USSR prior to 1991.
4 - UK(E&W) + UK(Scot.)
Table 6.6. REDFISH in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1, divisions 2.a and 2.b combined for both S. mentella and S. norvegicus.
Year Denmark Faroe Islands France Germany Ireland Netherlands Norway Portugal UK2 Others Total
1998 27 12 570 370 4 21 1 113 - 749 2 2 868
1999 52 1 - 58 39 16 862 - 532 3 1 563
2000 41 - 224 19 28 19 443 - 618 5 1 397
2001 96 - 272 13 19 - 421 - 538 4 1 363
2002 40 2 98 11 7 - 241 - 524 2 925
2003 71 2 26 2 - - 474 - 463 1 1 039
2004 42 3 26 1 - - 287 - 214 - 573
2005 34 - 10 1 - - 84 - 28 2 159
2006 49 1 12 3 - - 163 33 79 1 341
2007 27 - 8 1 - - 116 - 77 1 230
2008 3 - 8 1 - - 77 - 54 1 144
2009 4 1 38 - - - 119 - 86 - 248
2010 5 - 3 - - - 62 - 150 - 220
2011 9 - 90 1 - - 66 - 71 - 237
2012 10 - 19 - - - 71 - 87 - 187
2013 7 - 40 - - - 54 - 176 - 277
2014 - - 32 1 - - 146 - 93 - 272
2015 1 - 14 1 - - 157 - 61 - 234
2016 3 - 11 - - - 180 - 22 - 216
2017 3 - 10 - - - 168 - 38 - 219
2018 10 - 4 - - - 71 - 29 - 114
2019 7 - 10 - - - 62 - 10 - 89
2020 9 - 4 - - - 54 - 28 - 95
2020 9 - 4 - - - 54 - 28 - 95
2021 4 - 11 - - - 30 - 123 - 168
2022 3 3 11 - - - 40 - 24 - 85
2023 1 - 5 - - - 57 - 51 - 114
20241 6 1 4 - - - 44 - - - 55
20251 2 1 2 - - - 76 - 10 - 91
1 - Provisional figures.
2 - UK(E&W) + UK(Scot.)
Table 6.7. REDFISH in Subarea 4 (North Sea). Nominal catch (t) by countries as officially reported to ICES.
Year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 19+ Tot No. Tot Land.
1992 1 873 2 498 1 898 1 622 1 780 1 531 2 108 2 288 2 258 2 506 2 137 1 512 677 9 258 33 946 15 590
1993 159 159 174 512 2 094 3 139 2 631 2 308 2 987 1 875 1 514 1 053 527 6 022 25 154 12 814
1994 738 730 722 992 2 561 2 734 3 060 1 535 2 253 2 182 3 336 1 284 734 3 257 26 118 12 721
1995 662 941 1 279 719 740 1 230 2 013 4 297 3 300 2 162 1 454 757 794 2 404 22 752 10 284
1996 223 634 1 699 1 554 1 236 1 078 1 146 1 413 1 865 880 621 498 700 2 247 15 794 8 075
1997 125 533 1 287 1 247 1 297 1 244 876 1 416 1 784 1 217 537 1 177 342 3 568 16 650 8 598
1998 37 882 2 904 4 236 3 995 2 741 1 877 1 373 1 277 1 595 1 117 784 786 6 241 29 845 14 044
1999 9 83 441 1 511 2 250 3 262 1 867 1 454 1 447 1 557 1 418 1 317 658 3 919 21 193 11 209
2000 1 24 390 1 235 2 460 2 149 1 816 1 205 1 001 993 932 505 596 5 705 19 012 10 076
2001 117 372 542 976 925 1 712 2 651 2 660 1 911 1 773 1 220 714 814 16 234 32 621 18 418
2002 2 40 252 572 709 532 1 382 1 893 1 617 855 629 163 237 4 082 12 965 6 993
2003 6 37 103 93 132 220 384 391 434 466 513 199 231 1 193 4 402 2 520
2004 7 16 70 96 278 429 611 433 1 063 813 830 841 607 3 076 9 170 5 493
2005 2 20 57 155 244 262 295 754 783 1 896 817 1 087 1 023 6 065 13 460 8 465
2006 - 4 3 38 64 121 423 1 461 1 356 2 835 4 271 3 487 3 969 32 084 50 116 33 261
2007 - 1 3 22 33 86 235 631 2 194 2 825 3 657 4 359 3 540 15 824 33 410 20 218
2008 - - 1 10 46 100 197 469 612 1 502 1 384 894 1 886 11 906 19 007 13 096
2009 - 1 16 22 42 39 254 258 577 364 824 692 1 856 11 704 16 649 10 246
2010 10 4 6 19 34 55 61 262 278 413 606 717 742 15 646 18 853 11 923
2011 4 4 4 25 55 114 11 103 288 398 419 495 585 15 173 17 678 12 962
2012 4 24 29 24 26 66 69 78 80 305 401 388 442 13 992 15 928 11 060
2013 - 3 19 101 90 44 41 42 9 177 146 185 317 12 826 14 000 9 389
2014 14 27 338 95 114 92 147 54 108 68 248 287 193 23 101 24 886 18 427
2015 43 41 134 565 843 1 355 1 245 717 385 945 289 595 871 29 441 37 469 25 570
2016 40 - 977 667 3 350 2 579 2 983 1 995 1 964 1 269 1 342 1 256 1 108 36 719 56 249 34 753
2017 36 187 403 461 1 042 1 431 1 226 1 370 1 222 1 648 1 462 1 272 1 786 32 989 46 535 30 782
2018 50 319 611 822 1 363 2 481 2 663 2 825 2 816 2 872 2 623 1 804 2 353 41 030 64 632 38 045
2019 129 447 809 1 257 2 122 2 225 2 024 2 238 2 394 3 141 2 814 1 982 2 511 45 497 69 590 45 640
2020 5 14 616 239 2 368 1 948 2 085 3 541 2 861 2 882 3 974 3 454 3 136 53 208 80 331 53 656
2021 79 470 1 007 1 325 2 294 3 165 2 878 3 137 3 417 4 492 4 266 3 007 3 752 62 816 96 105 63 479
2022 458 551 851 1 149 1 559 1 858 4 977 6 523 7 809 7 310 8 654 4 738 4 988 48 296 99 721 62 194
2023 429 490 871 1 821 1 945 3 830 6 326 6 797 5 962 9 430 7 763 4 708 4 897 44 027 99 296 60 385
2024 607 614 1 296 2 925 4 143 6 649 9 755 10 352 10 323 8 808 8 300 5 909 4 194 42 397 116 272 66 984
2025 1 971 1 371 965 1 514 2 966 4 000 6 357 9 291 9 828 9 863 8 577 7 997 5 685 42 500 112 885 66 220
Table 6.8. S. mentella in subareas 1 and 2. Catch numbers-at-age 6 to 18 and 19+ (in thousands) and total landings (in tonnes). For the periods 2014–2015, 2017-2018, 2020-2021 and 2023, age data are missing from the pelagic fishery. For the years 2017, 2019, 2021 and 2025, age data are missing from the demersal fishery fisheries. The numbers-at-age have been estimated following the method outlined in section 6.2.2.
Year/Age 7 8 9 10 11 12 13 14 15 16 17 18 19+ Tot No. Tot Land.
2006 - - - - 23 93 1 083 323 1 563 3 628 2 514 3 756 29 704 42 687 28 770
2007 - - 9 18 25 154 444 1 642 2 302 3 021 3 394 3 156 12 684 26 849 16 157
2008 - - - 2 - 157 92 214 272 555 723 909 8 775 11 699 8 443
2009 - - - - - 61 32 65 117 200 269 659 7 296 8 699 5 290
2010 - - - - - - 155 74 135 224 356 458 12 497 13 899 8 229
2011 - - - - - - - 194 84 140 216 327 11 040 12 001 8 911
20121 - - - - - - - - 227 90 139 206 10 087 10 749 7 486
20132 - - 78 27 28 - - - 94 28 104 168 9 473 10 000 6 527
20143 - - - 74 24 25 - - - 58 16 57 4 920 5 174 4 034
20153 - - - - 170 54 51 - - - 84 22 6 343 6 724 4 752
20163 - - 154 307 271 276 134 90 107 239 445 229 10 499 12 751 7 398
20173 - - - 238 462 390 370 165 100 109 226 402 8 349 10 811 6 852
20183 - - - - 691 1 281 1 008 874 352 195 198 393 12 659 17 651 7 739
2019 25 5 200 400 220 242 197 279 183 155 135 161 6 696 8 898 6 060
20203 - 44 8 345 672 353 362 270 345 206 163 136 5 496 8 400 5 469
20213 - - 45 8 339 631 309 290 195 228 127 96 2 380 4 648 2 872
2022 - - 7 14 12 48 165 135 114 194 155 84 2 931 3 859 2 680
20233 - - - - - - - - - - - - 5 5 5
20243 - - - - 14 25 20 66 189 128 92 140 1 746 2 420 1 693
20253 - - - - - 45 76 55 164 428 270 185 3 366 4 589 3 229
1 - No age data in 2012, catch numbers-at-age are estimated from proportions at age in 2011 and in 2013.
2 - No age data from the catches in 2013. Age readings from the research survey conducted in September 2013 are used to derive catch numbers-at-age.
3 - No age data in 2014 – 2018, 2020-2021 and 2023, catch numbers-at-age are estimated from previous year according to protocol described in section 6.2.2.
Table 6.9. Pelagic S. mentella in the Norwegian Sea (outside the EEZ). Catch numbers-at-age (thousands).
Year/Length 18–20 20–22 22–24 24–26 26–28 28–30 30–32 32–34 34–36 36–38 38–40 40–42 42–44 44–46 46–48 48–50 50–52
2011 0 12 0 0 1 8 249 2 544 6 481 6 528 3 620 829 95 18 1 0 0
2012 0 0 23 19 26 28 41 287 1 898 5 030 5 385 1 911 451 197 43 23 0
2013 0 0 4 32 154 137 90 69 1 382 4 214 4 480 1 633 497 197 0 0 0
2014 0 5 0 25 29 235 660 697 3 358 7 667 8 544 3 808 787 34 0 0 0
2015-2025 Data not available at the time of the working group
Table 6.10. S. mentella in subareas 1 and 2. Total catch numbers-at-length (thousands).
Year/Length 18–20 20–22 22–24 24–26 26–28 28–30 30–32 32–34 34–36 36–38 38–40 40–42 42–44 44–46 46–48 48–50 50–52
2011 0 0 0 0 1 8 244 2 562 5 887 4 425 1 537 287 13 0 1 0 0
2012 0 0 0 0 0 0 106 2 014 5 092 3 681 952 48 0 0 0 0 0
2013 0 0 0 0 0 0 75 1 352 4 791 2 967 730 87 6 0 0 0 0
2014 0 0 0 0 0 3 14 349 2 408 2 454 827 80 6 1 0 0 0
2015-2025 Data not available at the time of the working group
Table 6.11. S. mentella in subareas 1 and 2. Catch numbers-at-length (thousands) in the pelagic fishery.
Year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
1992 0.167 0.164 0.211 0.241 0.309 0.324 0.378 0.366 0.428 0.454 0.487 0.529 0.571 0.805
1993 0.141 0.181 0.217 0.254 0.306 0.357 0.349 0.400 0.450 0.436 0.460 0.499 0.462 0.846
1994 0.174 0.188 0.235 0.298 0.361 0.396 0.415 0.480 0.492 0.562 0.642 0.636 0.720 0.846
1995 0.158 0.185 0.226 0.261 0.324 0.360 0.432 0.468 0.496 0.519 0.566 0.573 0.621 0.758
1996 0.175 0.189 0.224 0.272 0.323 0.337 0.377 0.518 0.536 0.603 0.690 0.800 0.683 0.958
1997 0.152 0.191 0.228 0.280 0.324 0.367 0.435 0.492 0.521 0.615 0.601 0.611 0.671 0.911
1998 0.120 0.148 0.192 0.261 0.326 0.373 0.427 0.496 0.537 0.566 0.587 0.625 0.658 0.809
1999 0.133 0.170 0.226 0.286 0.343 0.382 0.441 0.483 0.537 0.565 0.620 0.644 0.672 0.757
2000 0.109 0.144 0.199 0.276 0.332 0.392 0.437 0.490 0.540 0.585 0.631 0.650 0.671 0.872
2001 0.115 0.137 0.183 0.262 0.310 0.356 0.400 0.434 0.484 0.534 0.581 0.615 0.624 0.819
2002 0.114 0.139 0.182 0.253 0.329 0.372 0.392 0.434 0.476 0.520 0.545 0.587 0.601 0.833
2003 0.109 0.124 0.196 0.245 0.312 0.371 0.422 0.434 0.477 0.516 0.551 0.591 0.623 0.817
2004 0.104 0.129 0.180 0.264 0.308 0.376 0.413 0.444 0.478 0.521 0.579 0.614 0.688 0.835
2005 0.104 0.136 0.196 0.263 0.322 0.370 0.408 0.451 0.478 0.523 0.550 0.551 0.640 0.797
2006 0.107 0.143 0.200 0.266 0.314 0.374 0.419 0.462 0.489 0.527 0.570 0.602 0.590 0.796
2007 0.115 0.131 0.180 0.252 0.305 0.364 0.409 0.449 0.485 0.513 0.523 0.554 0.569 0.737
2008 0.000 0.158 0.177 0.242 0.304 0.402 0.465 0.486 0.511 0.546 0.600 0.596 0.635 0.803
2009 0.129 0.179 0.206 0.249 0.326 0.394 0.510 0.550 0.542 0.583 0.609 0.594 0.595 0.809
2010 0.129 0.128 0.175 0.263 0.375 0.447 0.501 0.541 0.582 0.602 0.593 0.608 0.592 0.706
2011 0.136 0.156 0.183 0.261 0.316 0.435 0.512 0.604 0.655 0.609 0.671 0.647 0.677 0.795
2012 0.135 0.178 0.225 0.246 0.249 0.356 0.474 0.582 0.530 0.626 0.654 0.730 0.699 0.833
2013 0.129 0.145 0.189 0.230 0.270 0.282 0.345 0.384 0.534 0.559 0.634 0.627 0.661 0.720
2014 0.193 0.172 0.221 0.167 0.192 0.239 0.333 0.277 0.364 0.516 0.713 0.780 0.797 0.882
2015 0.167 0.168 0.232 0.294 0.346 0.383 0.457 0.436 0.474 0.538 0.665 0.690 0.724 0.824
2016 0.110 0.000 0.331 0.356 0.401 0.392 0.434 0.486 0.543 0.579 0.740 0.591 0.598 0.776
2017 0.154 0.196 0.254 0.270 0.306 0.413 0.425 0.458 0.533 0.472 0.562 0.650 0.692 0.796
2018 0.000 0.233 0.135 0.371 0.323 0.280 0.379 0.452 0.524 0.633 0.483 0.589 0.457 0.821
2019 0.118 0.380 0.341 0.470 0.538 0.523 0.539 0.565 0.572 0.620 0.656 0.601 0.633 0.744
Modelled 0.141 0.188 0.237 0.286 0.334 0.381 0.424 0.465 0.503 0.537 0.569 0.597 0.623 0.755
Table 6.12. S. mentella in subareas 1 and 2. Observed mean weights-at-age (kg) from Norwegian data (catches and surveys combined). The bottom row gives the fixed weights-at-age used in the statistical catch-at-age model.
Year/Age 11 12 13 14 15 16 17 18 19+
2006 0.44 0.44 0.52 0.44 0.49 0.55 0.53 0.56 0.61
2007 0.39 0.43 0.41 0.48 0.50 0.52 0.55 0.57 0.64
2008 0.36 0.47 0.56 0.50 0.56 0.54 0.56 0.55 0.64
2009 0.38 0.44 0.45 0.48 0.54 0.59 0.64 0.58 0.69
2010 - - 0.62 0.56 0.54 0.59 0.59 0.56 0.61
2011 - 0.48 0.54 0.54 0.64 0.59 0.54 0.59 0.59
2012 No data
20131 0.31 - - - 0.56 0.62 0.60 0.62 0.68
2014-2025 No data
1 - As observed in the research survey in the Norwegian Sea in September 2013.
Table 6.13. Pelagic S. mentella in the Norwegian Sea (outside the EEZ). Catch weights-at-age (kg).
Year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
1992 0.00 0.01 0.02 0.04 0.07 0.14 0.26 0.42 0.53 0.59 0.65 0.70 0.75 1
1993 0.01 0.02 0.04 0.08 0.15 0.28 0.44 0.55 0.61 0.67 0.72 0.77 0.82 1
1994 0.02 0.04 0.08 0.15 0.28 0.44 0.59 0.72 0.81 0.88 0.93 0.96 0.98 1
1995 0.03 0.07 0.13 0.24 0.39 0.57 0.71 0.83 0.90 0.95 0.97 0.98 0.99 1
1996 0.01 0.01 0.02 0.05 0.10 0.19 0.33 0.50 0.59 0.66 0.73 0.79 0.84 1
1997 0.02 0.04 0.08 0.16 0.29 0.46 0.55 0.61 0.66 0.71 0.76 0.80 0.84 1
1998 0.02 0.04 0.08 0.15 0.26 0.43 0.56 0.65 0.73 0.80 0.85 0.90 0.93 1
1999 0.03 0.05 0.10 0.20 0.34 0.51 0.57 0.64 0.70 0.75 0.80 0.84 0.87 1
2000 0.03 0.06 0.11 0.21 0.36 0.52 0.63 0.73 0.81 0.87 0.91 0.94 0.96 1
2001 0.01 0.02 0.04 0.09 0.17 0.30 0.47 0.56 0.62 0.68 0.74 0.79 0.83 1
2002 0.02 0.05 0.10 0.19 0.33 0.50 0.54 0.59 0.63 0.67 0.70 0.74 0.77 1
2003 0.03 0.06 0.12 0.21 0.36 0.51 0.57 0.63 0.69 0.73 0.78 0.82 0.85 1
2004 0.03 0.06 0.12 0.22 0.37 0.51 0.55 0.59 0.63 0.67 0.70 0.73 0.76 1
2005 0.02 0.05 0.09 0.18 0.31 0.49 0.55 0.61 0.66 0.71 0.75 0.79 0.83 1
2006 0.01 0.02 0.03 0.07 0.13 0.24 0.39 0.53 0.59 0.64 0.70 0.75 0.79 1
2007 0.02 0.04 0.09 0.17 0.30 0.47 0.64 0.77 0.87 0.93 0.96 0.98 0.99 1
20081 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
2009 0.02 0.04 0.09 0.17 0.30 0.47 0.60 0.71 0.80 0.87 0.92 0.95 0.97 1
2010 0.02 0.04 0.08 0.16 0.28 0.45 0.54 0.60 0.66 0.71 0.76 0.80 0.83 1
20111 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
2012 0.02 0.05 0.10 0.19 0.32 0.50 0.59 0.68 0.75 0.81 0.86 0.90 0.93 1
2013 0.00 0.01 0.02 0.04 0.08 0.15 0.28 0.45 0.62 0.77 0.87 0.93 0.97 1
2014 0.00 0.00 0.01 0.02 0.03 0.06 0.12 0.23 0.38 0.53 0.61 0.68 0.74 1
2015 0.01 0.02 0.05 0.09 0.17 0.31 0.48 0.54 0.58 0.63 0.67 0.71 0.74 1
2016 0.03 0.06 0.12 0.22 0.38 0.52 0.56 0.61 0.66 0.70 0.74 0.77 0.81 1
20171 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
20181 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
20191 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
20201 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
20211 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1
20221 0.02 0.05 0.09 0.17 0.30 0.46 0.80 0.96 0.99 1.00 1.00 1.00 1.00 1
20231 0.02 0.04 0.08 0.14 0.22 0.30 0.45 0.56 0.63 0.69 0.73 0.76 0.79 1
Model input 0.02 0.04 0.08 0.14 0.24 0.37 0.49 0.58 0.66 0.73 0.77 0.81 0.85 1
1 - Model parameter estimates were unrealistic and replaced by average parameter values.
Table 6.14. S. mentella in subareas 1 and 2. Proportion mature-at-age 6–19+ derived from Norwegian commercial and survey data. The proportions were derived from samples with at least 5 individuals. a50 w1 and w2 are the annual coefficients for modelled maturity ogives using a double half sigmoid of the form 0.5 ((1+tanh(age- a50)/w1)) for age < a50 and 0.5 (1+tanh((age- a50)/w2) for age > a50. a50 equals the age at 50% maturity. Since JRN-AFWG 2024 maturity-at-age used in the statistical catch-at-age model are identical for every year and given at the bottom row of the table.
Yearclass 0 1 2 3 4 5 6 7 8 9 10 11
1974 - - 4.8 - 4.9 22.8 4.8 4.8 - - - 3.0
1975 - 7.4 - 1.7 6.4 2.4 3.5 5.0 - - 4.0 -
1976 7.0 - 8.1 1.2 2.5 6.8 4.9 5.0 1.0 13.0 - -
1977 - 0.2 0.2 0.2 0.9 5.1 3.7 1.0 19.0 2.0 - -
1978 0.8 0.0 0.9 1.0 5.0 3.8 2.0 20.0 6.0 - - -
1979 - 1.9 1.4 3.6 2.3 9.0 11.0 16.0 1.0 - - 0.1
1980 0.3 0.4 2.0 2.5 16.0 6.0 11.0 25.0 2.0 - 1.5 2.0
1981 - 2.2 3.9 20.0 6.0 12.0 47.0 18.0 6.3 1.6 0.5 1.0
1982 19.8 13.2 13.0 15.0 34.0 44.0 39.0 32.6 4.3 3.1 4.9 +
1983 12.5 3.0 5.0 6.0 31.0 34.0 32.3 13.3 4.0 4.2 0.6 1.1
1984 - 10.0 2.0 - 5.0 18.3 19.0 2.2 2.4 0.2 1.7 2.4
1985 107.0 7.0 - 1.0 5.2 16.2 1.7 1.7 0.6 2.8 3.8 0.3
1986 2.0 - 1.0 1.8 8.4 3.6 2.1 1.2 5.6 8.2 0.9 0.7
1987 - 3.0 37.9 1.3 8.0 4.1 2.0 10.6 9.6 1.4 2.0 1.3
1988 4.0 58.1 4.3 13.3 25.8 3.9 8.6 11.2 2.8 4.2 3.0 4.7
1989 8.7 9.0 17.0 23.4 4.6 5.4 4.0 6.6 6.6 4.1 7.7 5.3
1990 2.5 6.3 6.1 1.0 4.3 1.7 11.5 6.5 5.5 6.7 7.4 3.6
1991 0.3 1.0 0.5 1.5 1.2 11.3 3.9 3.3 4.6 5.8 2.7 1.9
1992 0.6 + 0.2 0.1 4.3 1.3 2.0 2.3 4.9 2.3 1.0 4.1
19931 - + 1.5 1.8 1.0 1.2 3.0 4.2 2.6 2.0 3.2 2.1
1994 0.3 3.5 1.7 1.7 0.9 3.6 5.2 4.3 3.1 3.3 1.8 1.2
1995 2.8 1.0 1.1 0.4 2.2 2.6 3.5 3.4 2.9 1.2 1.0 8.5
19962 + 0.1 0.1 0.4 0.7 1.1 1.0 1.4 1.0 0.8 3.7 0.6
1997 - - + 0.4 0.5 0.3 0.9 0.6 1.0 1.1 0.5 0.4
1998 - 0.1 0.2 0.3 0.2 1.1 0.5 0.7 1.0 3.4 0.4 0.7
1999 0.1 - 0.1 + 0.1 0.3 0.5 0.8 0.5 3.2 0.4 0.6
2000 - 0.6 0.1 0.5 0.3 0.3 0.6 0.4 0.1 0.1 0.7 0.3
2001 - 0.1 0.4 - 0.1 0.2 0.2 0.3 0.2 0.8 0.1 1.0
20023 0.1 0.5 0.1 - - 0.1 0.5 0.4 1.5 3.5 1.0 1.1
2003 - - 0.1 - 0.3 1.0 0.5 4.8 2.1 3.7 1.3 1.9
2004 - 0.2 0.3 0.5 1.5 0.9 4.4 3.7 7.5 4.1 3.1 3.3
2005 - - 1.4 1.9 1.4 2.3 3.9 7.2 6.1 5.8 3.1 -
20064 0.1 1.8 1.2 1.1 0.8 2.1 4.1 3.0 6.1 5.9 - -
2007 2.5 0.4 0.1 1.2 1.7 2.4 3.6 4.3 7.4 - - -
2008 0.1 0.1 1.6 1.8 4.1 2.9 5.8 5.5 - - - -
2009 1.6 1.9 1.1 4.4 4.8 2.9 4.8 - - - - -
2010 7.5 0.7 1.2 1.5 1.9 1.6 - - - - - -
2011 0.1 0.3 0.6 1.6 1.6 - - - - - - -
2012 0.2 0.7 0.5 0.3 - - - - - - - -
2013 0.1 0.1 0.4 - - - - - - - - -
2014 3.6 1.0 - - - - - - - - - -
2015 6.6 - - - - - - - - - - -
1 - Not complete area coverage of Division 2.b.
2 - Area surveyed restricted to Subarea 1 and Division 2.a only.
3 - Area surveyed restricted to Subarea 1 and Division 2.b only.
4 - Area surveyed restricted to divisions 2.a and 2.b onl
Table 6.15. S. mentella. Average catch (numbers of specimens) per hour trawling of different ages of S. mentella in the Russian groundfish survey in the Barents Sea and Svalbard areas (1976–1983 published in Annales Biologiques). The survey was not conducted in 2016, took place in 2017 with insufficient coverage, and was terminated after that year.
Year/Length 5.0–9.9 10.0–14.9 15.0–19.9 20.0–24.9 25.0–29.9 30.0–34.9 35.0–39.9 40.0–44.9 >45 Total
19862 6 101 192 17 10 5 2 4 0 337
19872 20 14 140 19 6 2 1 2 0 204
19882 33 23 82 77 7 3 2 2 0 229
1989 556 225 24 72 17 2 2 8 4 910
1990 184 820 59 65 111 23 15 7 3 1 287
1991 1 533 1 426 563 55 138 38 30 7 1 3 791
1992 149 446 268 43 22 15 4 7 4 958
1993 9 320 272 89 16 13 3 1 0 723
1994 4 284 613 242 10 9 2 2 1 1 167
1995 32 33 417 349 77 18 5 1 0 933
1996 56 69 139 310 97 8 4 1 0 685
1997 3 44 13 65 57 9 4 0 0 195
1998 0 37 35 28 132 73 45 2 0 352
1999 3 3 124 62 260 169 42 1 0 664
2000 0 10 30 59 126 143 21 1 0 391
2001 1 5 3 32 57 227 50 3 0 378
2002 1 4 6 21 62 266 47 4 0 410
2003 1 5 7 10 49 243 45 1 - 361
2004 0 2 8 7 14 81 52 2 0 166
2005 22 1 4 4 10 68 46 1 0 156
2006 84 6 5 7 43 198 107 3 0 453
2007 73 39 1 4 9 91 102 3 0 322
2008 125 46 22 3 8 24 78 3 - 309
2009 9 122 88 14 3 27 219 5 - 487
2010 96 18 44 37 2 20 91 7 - 315
2011 126 91 81 48 10 7 67 5 1 436
2012 28 74 68 81 47 8 94 10 - 410
2013 33 43 127 106 67 19 85 13 - 493
20143 3 10 59 49 38 24 66 20 0 269
2015 89 8 29 159 116 66 69 25 - 561
2016 244 33 44 205 138 139 142 48 0 993
2017 41 38 8 20 59 76 57 17 0 316
2018 66 62 55 35 100 65 80 26 - 489
2019 3 27 89 32 59 83 74 26 1 394
2020 107 8 58 40 40 115 98 17 - 483
2021 498 136 15 39 16 58 88 18 - 868
2022 15 102 6 23 27 51 109 24 0 357
2023 5 65 90 20 68 42 87 23 0 400
2024 5 79 642 102 76 52 83 16 0 1 055
2025 83 5 60 142 36 79 98 28 0 531
1 Includes some unidentified Sebastes specimens mostly less than 15 cm.
2 Old trawl equipment (bobbins gear and 80 m sweep length).
3 Poor survey coverage in 2014.
Table 6.16a. S. mentella1 in Division 2.b. Abundance indices (by length) from the bottom-trawl survey in the Svalbard area (Division 2.b) in summer/fall (numbers in millions).
Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total
1992 283 419 484 131 58 45 14 8 5 2 7 2 1 3 1 462
1993 2 527 117 202 142 8 23 6 13 1 7 1 1 0 1 050
1994 7 280 290 202 235 42 94 1 1 3 4 1 1 0 1 161
1995 4 50 365 237 132 61 19 17 11 0 1 3 0 0 900
1996 13 32 10 36 103 135 78 16 50 28 32 8 21 2 564
1997 8 43 6 7 38 18 29 19 6 2 0 2 1 1 180
1998 0 25 27 13 10 12 61 52 41 15 0 5 13 0 274
1999 3 16 108 25 28 39 106 59 54 26 35 14 18 12 543
2000 4 6 5 13 30 21 28 44 66 48 21 19 9 6 320
2001 1 4 2 0 12 15 18 36 28 46 45 80 53 14 354
2002 3 2 4 1 5 22 34 23 90 35 54 65 17 22 377
2003 0 3 4 3 5 4 27 26 26 28 13 132 50 21 342
2004 1 1 4 4 2 4 2 10 4 15 18 18 19 15 117
2005 18 1 1 3 1 3 3 8 5 5 14 8 29 21 120
2006 35 1 3 3 2 6 5 36 3 19 46 68 8 19 254
2007 23 24 1 0 2 1 4 4 5 3 3 8 28 17 123
2008 8 25 19 11 2 2 2 4 3 3 3 3 7 8 100
2009 11 74 54 30 25 30 8 1 1 1 4 19 10 8 276
2010 No age reading
2011 119 43 58 42 12 47 35 4 1 0 2 0 0 1 364
2012 27 52 31 23 32 50 27 33 17 9 0 1 0 - 302
2013 30 4 30 37 7 102 75 44 41 8 8 3 3 3 395
20142 0 3 2 6 23 41 12 23 5 30 13 11 3 1 173
2015 72 5 11 58 34 60 35 102 34 23 13 3 6 3 459
2016 102 13 11 88 34 102 66 31 13 80 37 2 12 30 621
2017 38 28 10 15 15 20 39 16 28 8 6 19 1 23 266
2018 44 52 14 23 88 14 4 20 27 18 16 9 14 1 344
2019 25 50 56 4 17 44 13 17 13 1 3 16 23 0 282
2020 43 9 23 27 30 13 17 20 39 7 13 17 11 8 277
2021 393 68 24 29 7 26 12 22 5 9 8 16 15 5 639
2022 12 55 35 5 6 10 7 19 12 6 5 16 5 16 209
2023 24 88 33 20 29 13 21 18 4 5 4 6 22 25 312
2024 64 15 324 263 143 2 24 54 25 10 3 31 16 3 977
2025 6 8 44 65 43 20 60 31 26 24 10 39 6 5 387
1 Includes some unidentified Sebastes specimens mostly less than 15 cm.
2 Poor survey coverage in 2014.
Table 6.16b. S. mentella1 in Division 2.b. Norwegian bottom-trawl survey indices (by age) in the Svalbard area (Division 2.b) in summer/fall 1992–2025 (numbers in millions).
Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+ Total Tot B3
1996 146 113 22 54 166 182 109 43 65 41 38 20 29 11 17 1 056 171
1997 63 131 12 23 74 56 77 83 18 14 1 2 2 1 9 566 73
1998 0 79 86 40 26 23 85 100 54 24 11 7 15 1 25 576 105
1999 5 23 117 48 42 77 129 73 58 65 50 14 18 12 25 756 155
2000 6 23 14 20 53 68 84 78 100 72 71 37 17 21 27 691 178
2001 5 7 11 1 20 26 37 52 44 62 50 86 54 16 32 503 162
2002 9 7 7 4 9 28 47 64 103 50 76 72 25 37 35 573 181
2003 3 7 8 3 8 8 42 62 55 38 61 137 98 37 28 595 257
2004 8 16 11 8 4 8 7 16 11 54 27 23 27 28 65 313 91
2005 32 5 5 5 4 6 7 13 6 6 17 29 34 31 49 249 101
2006 125 5 7 7 4 8 7 38 4 23 50 69 15 37 160 559 199
2007 264 147 13 4 10 3 7 9 12 5 4 9 56 19 221 783 199
2008 56 209 137 31 7 3 3 6 6 3 3 6 8 10 108 596 84
2009 116 186 237 82 105 48 17 3 6 3 5 22 11 9 324 1 174 260
2010 No age reading
2011 387 320 206 61 57 75 51 13 3 2 3 1 0 3 100 1 282 120
2012 335 239 365 169 127 78 60 41 20 12 4 1 2 3 145 1 601 184
2013 286 173 174 181 149 178 115 95 88 15 12 9 3 3 137 1 618 271
20142 2 21 35 81 55 96 99 62 36 55 42 18 19 3 166 790 239
2015 414 81 55 99 54 115 49 135 77 27 20 6 6 3 121 1 262 207
2016 715 136 56 133 93 129 88 61 19 92 39 13 28 31 235 1 868 not updated
2017 540 251 211 210 36 46 61 63 35 34 40 38 11 34 77 1 687 213
2018 162 234 153 64 124 34 29 25 86 64 31 35 24 1 129 1 195 not updated
2019 85 109 114 89 38 69 28 24 22 129 33 20 40 3 189 992 211
2020 157 42 46 70 51 33 49 44 62 15 30 37 29 22 231 918 not updated
2021 957 209 108 64 25 42 28 35 21 22 10 23 23 14 154 1 735 not updated
2022 55 187 220 64 16 17 35 55 16 13 24 26 10 20 237 995 not updated
2023 197 333 152 44 44 39 37 23 11 20 10 22 42 35 161 1 170 not updated
2024 132 88 492 347 162 27 55 79 36 47 11 57 21 22 84 1 660 not updated
2025 40 39 75 105 88 57 71 60 48 36 61 62 14 7 130 893 not updated
1 Includes some unidentified Sebastes specimens mostly less than 15 cm.
2 Poor survey coverage in 2014.
3 Calculated using modelled weight-at-age.
Table 6.17. S. mentella1 in subareas 1 and 2. Abundance indices (by age) from the Ecosystem survey in August-September covering the Norwegian Economic Zone (NEZ) and Svalbard incl. the area north and east of Spitsbergen and the continental slope down to 1000 m (numbers in millions and total biomass in thousand tonnes).
Year/Length 5.0–9.9 10.0–14.9 15.0–19.9 20.0–24.9 25.0–29.9 30.0–34.9 35.0–39.9 40.0–44.9 >45 Total
1986 81 152 205 88 169 130 88 24 14 950
1987 72 25 227 56 35 11 5 1 0 433
1988 587 25 133 182 40 50 48 4 0 1 068
1989 623 55 28 177 58 9 8 2 0 961
1990 324 305 36 56 80 13 13 2 0 828
1991 395 449 86 39 96 35 24 3 0 1 127
1992 139 367 227 35 55 34 8 2 1 867
1993 31 593 320 116 24 25 6 1 0 1 117
1994 5 191 345 366 55 69 23 3 0 1 057
1995 301 83 516 345 75 50 22 2 0 1 394
1996 211 103 197 342 136 42 18 0 0 1 049
19972 59 130 27 273 254 63 37 4 0 847
19982 0 85 62 101 200 40 12 1 0 501
1999 0 6 68 36 172 73 21 3 0 379
2000 7 12 39 77 143 96 27 6 1 408
2001 9 21 7 55 79 75 9 0 0 255
2002 15 6 17 36 95 116 24 1 0 310
2003 4 4 10 12 76 221 51 6 0 384
2004 0 1 8 17 32 85 31 1 0 175
2005 0 5 8 10 27 153 86 2 0 291
20063 98 1 8 13 23 103 81 1 1 329
20072 372 121 1 5 12 132 139 6 0 788
2008 857 359 26 3 10 105 166 5 0 1 531
2009 95 323 135 5 9 67 163 5 0 802
2010 652 276 217 64 7 72 190 6 0 1 484
2011 501 237 219 152 13 44 156 6 0 1 328
20122 127 279 86 124 47 13 154 17 0 847
2013 249 225 243 157 142 35 194 26 0 1 271
2014 109 182 261 119 127 53 117 14 0 982
2015 185 114 222 312 303 220 172 19 0 1 547
2016 670 108 150 336 215 167 125 13 0 1 784
20172 646 197 70 212 294 319 236 11 0 1 985
2018 239 328 85 110 195 277 223 23 1 1 481
2019 52 304 276 92 157 256 213 18 0 1 368
20202 206 122 207 93 120 236 213 24 0 1 221
20212 995 129 143 130 84 201 182 22 0 1 886
2022 637 1 035 53 112 76 92 163 20 0 2 188
2023 51 1 104 369 105 152 132 196 31 1 2 141
2024 34 199 689 69 205 134 156 27 0 1 513
2025 51 78 555 333 123 141 197 27 1 1 506
2026 287 18 138 579 149 197 216 27 1 1 613
1 Includes some unidentified Sebastes specimens mostly less than 15 cm.
2 Indices not raised to represent uncovered parts of the Russian EEZ.
3 Not complete coverage in southeast due to restrictions, strata 7 area set to default and strata 13 as in 2005.
Table 6.18a. S. mentella1. Abundance indices (by length) from the bottom-trawl survey in the Barents Sea in winter (numbers in millions). The area coverage was extended from 1993 onwards and from 2014 and onwards. Numbers from 1994 onwards were recalculated while numbers for 1986–1993 are as in previous reports.
Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total
1992 351 252 132 56 14 11 3 9 18 16 12 11 2 5 892
1993 38 473 192 242 62 45 19 22 13 11 10 4 2 3 1 136
1994 5 96 315 160 342 269 97 55 4 28 13 14 26 5 1 430
1995 312 66 178 255 329 223 73 21 7 13 20 9 10 9 1 525
1996 205 124 136 236 199 189 144 71 24 27 13 6 10 4 1 388
19972 66 158 33 58 112 95 125 103 38 46 26 24 7 7 898
19982 0 74 48 26 10 53 109 110 37 18 6 6 3 3 503
1999 0 0 35 41 29 28 52 62 53 32 14 5 6 1 358
2000 19 0 5 31 36 22 29 72 77 50 24 14 10 3 392
2001 0 19 9 2 6 26 37 31 42 18 21 29 5 2 247
2002 18 4 11 6 1 10 45 60 28 17 37 20 40 14 311
2003 0 3 2 3 5 5 15 39 27 23 58 39 68 36 323
2004 0 0 5 2 5 11 11 13 15 13 14 23 24 14 150
2005 0 3 3 2 6 5 6 15 21 9 18 30 41 60 219
20063 77 25 5 3 6 6 11 12 6 15 15 10 43 29 263
20072 285 73 3 0 2 1 3 7 9 5 7 21 43 71 530
2008 746 190 103 13 0 1 4 7 2 5 3 24 23 33 1 154
2009 109 112 96 89 66 32 20 13 4 5 21 0 24 7 598
2010 162 265 179 172 92 71 26 21 2 9 4 7 11 17 1 038
2011 377 233 135 130 107 70 40 22 2 5 1 1 1 23 1 147
20122 No age reading
2013 0 178 252 144 143 122 117 13 31 12 4 24 38 12 1 090
2014-2017 No age reading
2018 195 270 126 39 25 38 44 53 48 56 61 62 87 50 1 154
2019 No age reading
20202 17 123 108 111 22 44 92 129 64 80 64 7 0 5 866
2021-2026 No age reading
1 Includes some unidentified Sebastes specimens mostly less than 15 cm.
2 Indices not raised to represent uncovered parts of the Russian EEZ.
3 Not complete coverage in southeast due to restrictions, strata 7 area set to default and strata 13 as in 2005.
Table 6.18b. S. mentella1 in subareas 1 and 2. Norwegian bottom-trawl indices (by age) from the annual Barents Sea survey in February 1992–2025 (numbers in millions). The area coverage was extended from 1993 onwards and from 2014 and onwards. Numbers recalculated.
V1 2008 2009 2013 2016 2019 2022
mean length (cm) All/M/F1 37.0/36.4/37.5 36.6/36.0/37.1 37.5/37.0/38.1 37.7/37.0/38.3 37.6/37.2/38.0 37.4/37.2/38.5
mean length (cm) S/DSL/D2 37.2/36.8/39.1 37.2/36.5/38.3 37.1/37.4/38.9 38.1/37.6/38.4 37.4/37.6/37.7 -
mean weight (g) All/M/F 619/585/648 625/609/666 659/625/706 656/619/694 683/644/724 687/673/743
Mean age (y) All/M/F 25 / 25 / 25 25 / 25 / 24 28 / 29 / 28 27 / 27 / 26 - / - / - 30/31/31
Sex ratio (M/F) 45% / 55% 45% / 55% 59% / 41% 50% / 50% 51% / 49% 53%/47%
Occurrence 96% 100% 95% 80% 99% 89%
Catch rates 3.80 t/NM2 3.94 t/NM2 3.47 t/NM2 1.01 t/NM2 3.40 t/NM2 -
mean sA 33 m2/NM2 34 m2/NM2 19 m2/NM2 5.2 m2/NM2 - -
Total Area 53 720 NM2 69 520 NM2 69 520 NM2 67 150 NM2 73 364 NM2 -
Abundance (Acoustics)3 395 000 t 532 000 t 297 000 t 136 000 t - -
Abundance (Trawl)4 406 000 t 548 000 t 482 000 t 116 000 t 499 000 t -
1 - M = males only, F = females only.
2 - S = shallower than DSL, DSL = deep scattering layer, D = deeper than DSL.
3 - The abundance derived from hydroacoustics is calculated assuming a Length-dependent target strength equation of TS=20log(L)-68.0. In 2016 the TS equation used was TS=20log(L)-69.6 following recommendation from ICES-WKTAR (2010).
4 - Trawls: Gloria 2048 in 2008 and 2009 Gloria 2560 HO helix in 2013 and Gloria 1024 in 2016. Trawl catchability for redfish set to 0.5 for all trawls based on results from Bethke et al. (2010).
Table 6.19. Comparison of results on S. mentella from the Norwegian Sea pelagic surveys in 2008, 2009, 2013, 2016, 2019 and 2022. Acoustic results for the 2019 and 2022 survey were not available.
Dem Fy Pel Fy Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
0.041 0.000 1992 449 985 435 071 384 480 242 743 146 272 100 583 100 564 105 545 134 785 89 757 96 445 74 084 73 014 63 665 45 504 29 535 19 260 212 208
0.031 0.000 1993 307 973 428 130 413 940 365 807 229 103 137 760 94 496 94 216 98 589 125 515 83 331 89 285 68 407 67 266 58 543 41 778 27 083 211 439
0.027 0.000 1994 223 397 293 015 407 336 393 836 347 956 217 844 130 875 89 592 88 967 92 508 116 961 77 256 82 545 63 162 62 076 54 014 38 542 220 038
0.020 0.000 1995 209 499 212 548 278 784 387 553 374 413 330 494 206 534 123 675 84 257 83 218 86 142 108 600 71 622 76 467 58 491 57 476 50 007 239 386
0.014 0.000 1996 161 246 199 324 202 225 265 244 368 476 355 706 313 505 195 403 116 578 79 109 77 889 80 468 101 341 66 800 71 302 54 533 53 584 269 791
0.014 0.000 1997 115 657 153 415 189 643 192 403 252 294 350 328 337 813 297 051 184 515 109 726 74 313 73 101 75 494 95 064 62 659 66 881 51 152 303 323
0.019 0.000 1998 59 663 110 039 145 964 180 432 183 026 239 915 332 821 320 226 280 595 173 716 103 111 69 779 68 622 70 862 89 228 58 812 62 775 332 712
0.014 0.000 1999 48 428 56 765 104 695 138 874 171 655 174 069 227 861 314 660 300 632 262 400 162 275 96 297 65 164 64 083 66 175 83 326 54 922 369 327
0.011 0.000 2000 37 643 46 076 54 008 99 610 132 128 163 307 165 552 216 376 297 367 282 642 246 244 152 225 90 327 61 123 60 109 62 072 78 159 397 942
0.020 0.000 2001 32 874 35 815 43 838 51 385 94 772 125 709 155 355 157 313 204 555 279 952 265 899 231 639 143 196 84 969 57 498 56 544 58 390 447 861
0.007 0.000 2002 42 664 31 277 34 075 41 709 48 871 90 084 119 330 147 067 148 283 191 946 261 872 248 326 216 179 133 601 79 267 53 637 52 746 472 246
0.003 0.000 2003 51 719 40 591 29 758 32 420 39 682 46 494 85 679 113 396 139 469 140 305 181 415 247 418 234 598 204 224 126 211 74 883 50 670 495 954
0.005 0.000 2004 71 766 49 207 38 620 28 313 30 842 37 747 44 218 81 461 107 768 132 486 133 229 172 217 234 836 222 648 193 812 119 774 71 063 518 732
0.008 0.000 2005 122 429 68 280 46 817 36 744 26 934 29 337 35 896 42 028 77 366 102 246 125 572 126 183 163 037 222 266 210 708 183 408 113 342 558 110
0.005 0.039 2006 227 760 116 483 64 964 44 544 34 957 25 622 27 900 34 119 39 905 73 338 96 752 118 668 119 157 153 907 209 787 198 865 173 095 633 685
0.004 0.021 2007 335 343 216 698 110 826 61 809 42 380 33 258 24 362 26 515 32 397 37 834 69 376 91 271 111 594 111 648 143 606 194 859 183 885 736 844
0.005 0.010 2008 352 561 319 056 206 173 105 443 58 807 40 321 31 632 23 165 25 201 30 764 35 876 65 658 86 201 105 168 104 973 134 682 182 301 855 529
0.005 0.006 2009 338 723 335 438 303 560 196 160 100 322 55 951 38 357 30 087 22 026 23 938 29 164 33 948 62 061 81 401 99 207 98 908 126 755 973 545
0.004 0.009 2010 429 216 322 272 319 147 288 817 186 632 95 448 53 227 36 483 28 603 20 913 22 685 27 596 32 096 58 640 76 866 93 618 93 275 1 035 626
0.005 0.010 2011 475 638 408 370 306 620 303 646 274 787 177 563 90 795 50 622 34 683 27 170 19 839 21 489 26 108 30 334 55 363 72 494 88 203 1 060 325
0.005 0.008 2012 394 137 452 537 388 536 291 728 288 898 261 438 168 910 86 358 48 132 32 953 25 780 18 792 20 323 24 663 28 621 52 174 68 239 1 077 323
0.004 0.007 2013 232 876 374 994 430 558 369 666 277 557 274 860 248 700 160 658 82 115 45 741 31 286 24 440 17 788 19 212 23 286 26 995 49 164 1 076 427
0.016 0.006 2014 270 130 221 565 356 781 409 647 351 710 264 073 261 480 236 573 152 800 78 077 43 471 29 709 23 182 16 848 18 170 21 996 25 472 1 059 248
0.025 0.006 2015 254 420 257 011 210 804 339 453 389 739 334 608 251 198 248 692 224 941 145 216 74 139 41 221 28 112 21 873 15 846 17 038 20 575 1 009 765
0.030 0.013 2016 268 473 242 064 244 528 200 566 322 954 370 774 318 255 238 828 236 240 213 279 137 200 69 672 38 512 26 145 20 284 14 669 15 755 950 374
0.028 0.012 2017 286 689 255 434 230 307 232 652 190 807 307 200 352 511 302 322 226 456 223 196 200 321 127 946 64 567 35 534 24 051 18 618 13 440 880 673
0.035 0.017 2018 280 767 272 765 243 028 219 122 221 327 181 499 292 099 335 006 287 028 214 627 210 923 188 487 119 727 60 072 32 892 22 175 17 116 816 774
0.053 0.008 2019 307 214 267 130 259 517 231 225 208 427 210 482 172 504 277 407 317 737 271 647 202 448 198 013 175 894 110 997 55 343 30 141 20 234 753 645
0.066 0.008 2020 452 081 292 293 254 156 246 913 219 882 198 135 199 954 163 713 262 855 300 332 255 830 189 693 184 337 162 537 101 802 50 419 27 310 693 094
0.078 0.005 2021 722 781 430 124 278 097 241 812 234 912 209 184 188 453 190 123 155 559 249 411 284 141 240 674 176 741 169 489 147 416 91 361 44 949 636 998
0.072 0.002 2022 630 737 687 677 409 234 264 591 229 936 223 284 198 682 178 782 180 020 146 841 234 328 265 154 222 592 161 752 153 441 132 160 81 270 597 473
0.063 0.000 2023 467 043 600 103 654 278 389 358 251 506 218 429 211 888 188 226 168 927 169 414 137 396 217 590 243 993 202 890 146 149 137 650 117 930 600 070
0.063 0.001 2024 365 437 444 360 570 957 622 501 370 146 238 934 207 260 200 630 177 599 158 516 157 758 126 763 198 880 221 251 182 921 131 272 123 359 641 750
0.062 0.003 2025 317 063 347 688 422 778 543 227 591 807 351 604 226 586 195 923 188 583 165 472 146 053 143 760 114 535 178 716 198 201 163 587 117 289 682 844
Table 6.20a. S. mentella in subareas 1 and 2. Population matrix with numbers-at-age (in thousands) for each year and separable fishing mortality coefficients for the demersal and pelagic fleet by year (Fy) and selectivity at age for the pelagic fleet (Sa). Numbers are estimated from the statistical catch-at-age model.
Year 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
- 0 0 0 0 0 0.014 0.022 0.035 0.056 0.086 0.132 0.196 0.282 0.387 0.503 0.62 0.724 1
Table 6.20b. S. mentella in subareas 1 and 2. Fisheries selectivity at age for the pelagic fleet by age (Sa). Numbers are estimated from the statistical catch-at-age model.
Year 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
1992 0 0 0 0.196 0.248 0.308 0.376 0.449 0.524 0.598 0.668 0.731 0.786 0.832 0.870 0.900 0.924 1
1993 0 0 0 0.008 0.020 0.048 0.113 0.244 0.449 0.674 0.839 0.929 0.971 0.988 0.995 0.998 0.999 1
1994 0 0 0 0.029 0.062 0.129 0.248 0.425 0.622 0.786 0.892 0.948 0.976 0.989 0.995 0.998 0.999 1
1995 0 0 0 0.034 0.072 0.147 0.276 0.458 0.651 0.805 0.902 0.953 0.978 0.990 0.995 0.998 0.999 1
1996 0 0 0 0.019 0.050 0.128 0.290 0.530 0.758 0.897 0.960 0.985 0.995 0.998 0.999 1.000 1.000 1
1997 0 0 0 0.013 0.039 0.109 0.271 0.531 0.775 0.913 0.970 0.990 0.997 0.999 1.000 1.000 1.000 1
1998 0 0 0 0.004 0.021 0.095 0.339 0.716 0.925 0.984 0.997 0.999 1.000 1.000 1.000 1.000 1.000 1
1999 0 0 0 0.001 0.005 0.027 0.136 0.474 0.838 0.967 0.994 0.999 1.000 1.000 1.000 1.000 1.000 1
2000 0 0 0 0.000 0.001 0.012 0.111 0.563 0.930 0.993 0.999 1.000 1.000 1.000 1.000 1.000 1.000 1
2001 0 0 0 0.019 0.048 0.116 0.255 0.472 0.701 0.860 0.941 0.977 0.991 0.997 0.999 0.999 1.000 1
2002 0 0 0 0.003 0.012 0.049 0.172 0.458 0.775 0.933 0.983 0.996 0.999 1.000 1.000 1.000 1.000 1
2003 0 0 0 0.042 0.083 0.155 0.272 0.433 0.609 0.761 0.866 0.930 0.964 0.982 0.991 0.996 0.998 1
2004 0 0 0 0.021 0.044 0.092 0.183 0.329 0.518 0.702 0.838 0.919 0.961 0.982 0.992 0.996 0.998 1
2005 0 0 0 0.009 0.022 0.053 0.121 0.253 0.454 0.671 0.834 0.925 0.968 0.987 0.995 0.998 0.999 1
2006 0 0 0 0.003 0.009 0.023 0.058 0.138 0.293 0.518 0.736 0.879 0.950 0.980 0.992 0.997 0.999 1
2007 0 0 0 0.001 0.004 0.010 0.029 0.078 0.193 0.405 0.660 0.847 0.940 0.978 0.992 0.997 0.999 1
2008 0 0 0 0.000 0.001 0.003 0.013 0.060 0.232 0.588 0.871 0.970 0.993 0.999 1.000 1.000 1.000 1
2009 0 0 0 0.001 0.002 0.008 0.031 0.110 0.323 0.650 0.878 0.965 0.991 0.998 0.999 1.000 1.000 1
2010 0 0 0 0.002 0.006 0.016 0.043 0.111 0.256 0.488 0.725 0.880 0.953 0.982 0.994 0.998 0.999 1
2011 0 0 0 0.001 0.002 0.007 0.022 0.067 0.182 0.410 0.684 0.871 0.955 0.985 0.995 0.998 0.999 1
2012 0 0 0 0.002 0.005 0.011 0.027 0.065 0.147 0.298 0.512 0.722 0.865 0.941 0.975 0.990 0.996 1
2013 0 0 0 0.001 0.003 0.006 0.013 0.028 0.059 0.122 0.234 0.401 0.596 0.764 0.877 0.940 0.972 1
2014 0 0 0 0.002 0.004 0.007 0.014 0.026 0.050 0.091 0.162 0.271 0.417 0.580 0.727 0.836 0.908 1
2015 0 0 0 0.002 0.004 0.010 0.023 0.055 0.124 0.257 0.459 0.675 0.836 0.926 0.968 0.987 0.995 1
2016 0 0 0 0.003 0.007 0.018 0.043 0.098 0.210 0.394 0.613 0.794 0.904 0.958 0.982 0.993 0.997 1
2017 0 0 0 0.004 0.008 0.016 0.031 0.059 0.112 0.201 0.333 0.499 0.665 0.798 0.887 0.940 0.969 1
2018 0 0 0 0.007 0.013 0.023 0.042 0.073 0.125 0.206 0.320 0.461 0.608 0.738 0.836 0.903 0.944 1
2019 0 0 0 0.010 0.016 0.027 0.044 0.072 0.116 0.180 0.270 0.383 0.511 0.637 0.747 0.832 0.893 1
2020 0 0 0 0.001 0.001 0.003 0.007 0.016 0.035 0.076 0.156 0.295 0.487 0.683 0.830 0.917 0.962 1
2021 0 0 0 0.007 0.012 0.021 0.036 0.059 0.097 0.155 0.239 0.349 0.478 0.610 0.728 0.820 0.886 1
2022 0 0 0 0.013 0.021 0.036 0.058 0.095 0.150 0.229 0.333 0.457 0.586 0.704 0.800 0.871 0.919 1
2023 0 0 0 0.013 0.024 0.043 0.077 0.133 0.220 0.343 0.491 0.640 0.766 0.858 0.918 0.954 0.974 1
2024 0 0 0 0.012 0.026 0.052 0.103 0.193 0.333 0.510 0.685 0.819 0.905 0.952 0.976 0.989 0.994 1
2025 0 0 0 0.017 0.032 0.059 0.109 0.190 0.312 0.467 0.628 0.765 0.863 0.924 0.959 0.978 0.989 1
Table 6.20c. S. mentella in subareas 1 and 2. Fisheries selectivity at age for the demersal fleet by age (Sa). Numbers are estimated from the statistical catch-at-age model.
Year R age 2 (millions) R age 6 (thousands) TSB (t) SSB (t) F 12-18 F 19
1992 450 146 576 432 325 555 0.033 0.041
1993 308 229 623 944 344 178 0.030 0.031
1994 223 348 684 237 367 067 0.027 0.027
1995 209 374 751 923 393 609 0.020 0.020
1996 161 368 820 771 426 576 0.014 0.014
1997 116 252 888 027 466 640 0.013 0.014
1998 60 183 950 439 512 771 0.019 0.019
1999 48 172 1 001 122 565 230 0.014 0.014
2000 38 132 1 044 783 623 215 0.011 0.011
2001 33 95 1 081 402 688 394 0.019 0.020
2002 43 49 1 097 817 740 597 0.007 0.007
2003 52 40 1 116 053 795 006 0.002 0.003
2004 72 31 1 130 539 845 795 0.005 0.005
2005 122 27 1 137 844 889 803 0.008 0.008
2006 228 35 1 141 554 928 864 0.020 0.043
2007 335 42 1 122 157 943 461 0.012 0.025
2008 353 59 1 117 215 959 766 0.009 0.015
2009 339 100 1 124 463 971 885 0.008 0.011
2010 429 187 1 137 306 968 017 0.008 0.013
2011 476 275 1 153 356 952 454 0.008 0.014
2012 394 289 1 175 835 934 886 0.007 0.013
2013 233 278 1 210 078 918 307 0.006 0.011
2014 270 352 1 254 970 906 631 0.011 0.022
2015 254 390 1 293 213 892 458 0.023 0.031
2016 268 323 1 321 371 883 084 0.032 0.043
2017 287 191 1 343 174 876 877 0.026 0.041
2018 281 221 1 369 900 885 689 0.031 0.052
2019 307 208 1 390 610 898 883 0.035 0.061
2020 452 220 1 406 874 914 342 0.044 0.073
2021 723 235 1 418 616 926 340 0.048 0.083
2022 631 230 1 426 728 934 034 0.049 0.074
2023 467 252 1 449 059 947 948 0.050 0.063
2024 365 370 1 494 664 967 323 0.057 0.064
2025 317 592 1 536 941 978 795 0.055 0.065
Table 6.21. S. mentella in subareas 1 and 2. Stock summary estimated by the statistical catch-at-age model. Stock biomass is for age 2+.

 

Figure 6.1. S. mentella in subareas 1 and 2. Time series of landings (t) by country, 1952–2025.
Figure 6.1. S. mentella in subareas 1 and 2. Time series of landings (t) by country, 1952–2025.

 

 

Figure 6.2. S. mentella in subareas 1 and 2. Left panel: Catch in tonnes reported by national fleets for the subareas 27.1 and 27.2 and in the NEAFC regulatory area in 2025. Geographical location of the directed Norwegian fishery in 2025 within the Norwegian Exclusive Economic Zone and by catches by Norwegian vessels in all areas. Directed fishing with bottom trawl is not permitted to the east of the red line. Directed fishing with pelagic trawl is not permitted to the east of the blue line. Directed fishing is not permitted in the Fishery Protection Zone around Svalbard.
Figure 6.2. S. mentella in subareas 1 and 2. Left panel: Catch in tonnes reported by national fleets for the subareas 27.1 and 27.2 and in the NEAFC regulatory area in 2025. Geographical location of the directed Norwegian fishery in 2025 within the Norwegian Exclusive Economic Zone and by catches by Norwegian vessels in all areas. Directed fishing with bottom trawl is not permitted to the east of the red line. Directed fishing with pelagic trawl is not permitted to the east of the blue line. Directed fishing is not permitted in the Fishery Protection Zone around Svalbard.

 

 

Figure 6.3. S. mentella in subareas 1 and 2. Delineation of the geographical limits for directed fishing in the Norwegian Economic Zone in 2014–2025. Directed pelagic trawling is only allowed west of the blue line. Directed demersal trawling is only allowed between the blue and the red line. The area east of the stippled line inside NEZ south of Bear Island is only open for directed demersal trawling after 10 May. The other areas for directed fishing are also open during 1 January to last February. Due to high bycatch ratios of golden redfish 72°N was suggested as southern limit for directed demersal fishing marked by the red line along that latitude to the Norwegian directorate of fisheries in November 2018.
Figure 6.3. S. mentella in subareas 1 and 2. Delineation of the geographical limits for directed fishing in the Norwegian Economic Zone in 2014–2025. Directed pelagic trawling is only allowed west of the blue line. Directed demersal trawling is only allowed between the blue and the red line. The area east of the stippled line inside NEZ south of Bear Island is only open for directed demersal trawling after 10 May. The other areas for directed fishing are also open during 1 January to last February. Due to high bycatch ratios of golden redfish 72°N was suggested as southern limit for directed demersal fishing marked by the red line along that latitude to the Norwegian directorate of fisheries in November 2018.

 

 

Figure 6.4. S. mentella in subareas 1 and 2. Length-distributions of the commercial demersal catches by Norway and Russia in 2022–2025.
Figure 6.4. S. mentella in subareas 1 and 2. Length-distributions of the commercial demersal catches by Norway and Russia in 2022–2025.

 

 

Figure 6.5. S. mentella in subareas 1 and 2. Upper panels: Catch numbers-at-age for the demersal and pelagic fleets 1992–2021. Lower panel: Age composition of the commercial demersal catches by Norway and Russia in 2021 (calculated using ALK).
Figure 6.5. S. mentella in subareas 1 and 2. Upper panels: Catch numbers-at-age for the demersal and pelagic fleets 1992–2021. Lower panel: Age composition of the commercial demersal catches by Norway and Russia in 2021 (calculated using ALK).

 

 

Figure 6.6. S. mentella in subareas 1 and 2. Weight-at-age of S. mentella per year class in subareas 1 and 2 derived from Norwegian commercial and survey data (Table 6.7). The weights were derived from samples with at least five individuals and are expressed in grammes. The blue and purple lines show the fitted mixed-effect models.
Figure 6.6. S. mentella in subareas 1 and 2. Weight-at-age of S. mentella per year class in subareas 1 and 2 derived from Norwegian commercial and survey data (Table 6.7). The weights were derived from samples with at least five individuals and are expressed in grammes. The blue and purple lines show the fitted mixed-effect models.

 

 

Figure 6.7. S. mentella in subareas 1 and 2. The upper panel shows weight-at-age 19+ as reported from catches (blue) or modelled from catches and survey observations (red) using a mixed effect model. AFWG 2017 was the last working group using the annual mixed effect model. The weights-at-age used in the assessment were based on the fixed effects model and are therefore the same for every year. These weights were updated in 2022 and differ only slightly from those estimated in the assessments since 2018. The bottom panel shows comparison of the observed Norwegian and Russian weight by age with the modelled one up to 2020.
Figure 6.7. S. mentella in subareas 1 and 2. The upper panel shows weight-at-age 19+ as reported from catches (blue) or modelled from catches and survey observations (red) using a mixed effect model. AFWG 2017 was the last working group using the annual mixed effect model. The weights-at-age used in the assessment were based on the fixed effects model and are therefore the same for every year. These weights were updated in 2022 and differ only slightly from those estimated in the assessments since 2018. The bottom panel shows comparison of the observed Norwegian and Russian weight by age with the modelled one up to 2020.

 

 

Figure 6.8. S. mentella in subareas 1 and 2. Proportion maturity-at-age of S. mentella in subareas 1 and 2 derived from Norwegian commercial and survey data (Table D7). The proportions were derived from samples with at least five individuals. The blue and purple lines show the fitted mixed-effect models. For 2008, 2011 and 2016–2019 the common model (fixed effects blue) was used for other years the annual models (random effects purple) were used. Available data for 2019 was insufficient at the time of the meeting and the fixed effect model was used and there was no age data available after 2020.
Figure 6.8. S. mentella in subareas 1 and 2. Proportion maturity-at-age of S. mentella in subareas 1 and 2 derived from Norwegian commercial and survey data (Table D7). The proportions were derived from samples with at least five individuals. The blue and purple lines show the fitted mixed-effect models. For 2008, 2011 and 2016–2019 the common model (fixed effects blue) was used for other years the annual models (random effects purple) were used. Available data for 2019 was insufficient at the time of the meeting and the fixed effect model was used and there was no age data available after 2020.

 

 

Figure 6.9. S. mentella in subareas 1 and 2. Density distribution of natural mortality rates calculated with 30 of the 39 compared methods at the 2018 benchmark. The excluded methods are those based on certain taxa or areas. The broken red line indicates the currently used value; the broken green line the most frequent one and the black dotted lines indicate the beginning and end of the distribution’s peak.
Figure 6.9. S. mentella in subareas 1 and 2. Density distribution of natural mortality rates calculated with 30 of the 39 compared methods at the 2018 benchmark. The excluded methods are those based on certain taxa or areas. The broken red line indicates the currently used value; the broken green line the most frequent one and the black dotted lines indicate the beginning and end of the distribution’s peak.

 

 

Figure 6.10. S. mentella in subareas 1 and 2. Abundance of S. mentella (5–14 cm) during the winter survey (February) in the Barents Sea compared with the consumption of redfish (mainly S. mentella) by cod (See Section 1 Table 1.1).
Figure 6.10. S. mentella in subareas 1 and 2. Abundance of S. mentella (5–14 cm) during the winter survey (February) in the Barents Sea compared with the consumption of redfish (mainly S. mentella) by cod (See Section 1 Table 1.1).

 

 

Figure 6.11. S. mentella in subareas 1 and 2. Age disaggregated abundance indices for bottom-trawl surveys 1992–2024 in the Barents Sea in winter (winter survey top) in summer (Ecosystem survey middle) and in autumn (Russian groundfish survey bottom)
Figure 6.11. S. mentella in subareas 1 and 2. Age disaggregated abundance indices for bottom-trawl surveys 1992–2024 in the Barents Sea in winter (winter survey top) in summer (Ecosystem survey middle) and in autumn (Russian groundfish survey bottom)

 

 

Figure 6.12. S. mentella in subareas 1 and 2. Abundance indices for individual trawl stations during the ecosystem survey in autumn 2025 (top) and winter survey 2026 (bottom).
Figure 6.12. S. mentella in subareas 1 and 2. Abundance indices for individual trawl stations during the ecosystem survey in autumn 2025 (top) and winter survey 2026 (bottom).

 

 

Figure 6.13. S. mentella in subareas 1 and 2.* (a) Survey track of the Deep Pelagic Ecosystem Survey in 2022 and categorized trawls. (b) Catch rates in tonnes per square nautical mile for the surveyed depth layers from the 2019 survey.
Figure 6.13. S. mentella in subareas 1 and 2.* (a) Survey track of the Deep Pelagic Ecosystem Survey in 2022 and categorized trawls. (b) Catch rates in tonnes per square nautical mile for the surveyed depth layers from the 2019 survey.

 

 

Figure 6.14. S. mentella in subareas 1 and 2. Proportions at age during the International Deep Pelagic Ecosystem Survey (WGIDEEPS) in the Norwegian Sea. Bars show proportions at age and dots shows the coefficient of variation for each age. Estimated with StoX
Figure 6.14. S. mentella in subareas 1 and 2. Proportions at age during the International Deep Pelagic Ecosystem Survey (WGIDEEPS) in the Norwegian Sea. Bars show proportions at age and dots shows the coefficient of variation for each age. Estimated with StoX

 

 

Figure 6.15. S. mentella in subareas 1 and 2. Map showing the specific pelagic 0-group trawl stations and the abundance of 0-group S. mentella during the joint Norwegian- Russian Ecosystem survey in the Barents Sea and Svalbard in 2024. Not updated in 2025.
Figure 6.15. S. mentella in subareas 1 and 2. Map showing the specific pelagic 0-group trawl stations and the abundance of 0-group S. mentella during the joint Norwegian- Russian Ecosystem survey in the Barents Sea and Svalbard in 2024. Not updated in 2025.

 

 

Figure 6.16. S. mentella in subareas 1 and 2. Abundance indices (in billions) of 0-group redfish (believed to be mostly S. mentella) in the international 0-group survey in the Barents Sea and Svalbard areas in August-September 1980–2024. Data not available from 2025-survey.
Figure 6.16. S. mentella in subareas 1 and 2. Abundance indices (in billions) of 0-group redfish (believed to be mostly S. mentella) in the international 0-group survey in the Barents Sea and Svalbard areas in August-September 1980–2024. Data not available from 2025-survey.

 

 

Figure 6.17. S. mentella in subareas 1 and 2. Horizontal distribution of S. mentella hydroacoustic backscattering (sA) during the Norwegian slope survey in spring 2026. The circles are proportional to the sA assigned to redfish along the vessel track.
Figure 6.17. S. mentella in subareas 1 and 2. Horizontal distribution of S. mentella hydroacoustic backscattering (sA) during the Norwegian slope survey in spring 2026. The circles are proportional to the sA assigned to redfish along the vessel track.

 

 

Figure 6.18. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the estimated recruitment-at-age 2 spawning-stock biomass from 1992 to 2025.
Figure 6.18. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the estimated recruitment-at-age 2 spawning-stock biomass from 1992 to 2025.

 

 

Figure 6.19. S. mentella in subareas 1 and 2. Results of the statistical catch-at-age model showing the evolution of total biomass (in tonnes, light blue, left axis), spawning stock biomass (in tonnes, dark blue, left axis) and recruitment-at-age 2 (in numbers, yellow, right axis) for the period 1992-2025.
Figure 6.19. S. mentella in subareas 1 and 2. Results of the statistical catch-at-age model showing the evolution of total biomass (in tonnes, light blue, left axis), spawning stock biomass (in tonnes, dark blue, left axis) and recruitment-at-age 2 (in numbers, yellow, right axis) for the period 1992-2025.

 

 

Figure 6.20. S. mentella in subareas 1 and 2. Modelled distribution of numbers (yellow bars right y-axis) biomass (light blue left y-axis) and spawning-stock biomass (dark blue left y-axis) at age 2–45+ in 2025.
Figure 6.20. S. mentella in subareas 1 and 2. Modelled distribution of numbers (yellow bars right y-axis) biomass (light blue left y-axis) and spawning-stock biomass (dark blue left y-axis) at age 2–45+ in 2025.

 

 

Figure 6.21. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the estimated annual fleet selectivity by age (Fa) from the pelagic (left panel) and demersal (right panel) fleets. Coloured envelopes indicate 95% confidence limits.
Figure 6.21. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the estimated annual fleet selectivity by age (Fa) from the pelagic (left panel) and demersal (right panel) fleets. Coloured envelopes indicate 95% confidence limits.

 

 

Figure 6.22. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the selectivity-at-age for winter (blue) ecosystem (grey) and Russian groundfish (red) surveys.
Figure 6.22. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment runs showing the selectivity-at-age for winter (blue) ecosystem (grey) and Russian groundfish (red) surveys.

 

 

Figure 6.23. S. mentella in subareas 1 and 2. Diagnostic plots for the demersal fleet catch-at-age data. Top-left: scatter plot of observed vs. fitted indices. The dotted red line indicates a 1:1 relationship. Top-right: box plot of residuals (observed - fitted) for each age. Bottom-left: box plot of residuals for each year. Bottom-right: bubble plot of residuals for each age/year combination. Bubble size is proportional to mean residuals; blue bubbles are positive residuals and red bubbles are negative residuals.
Figure 6.23. S. mentella in subareas 1 and 2. Diagnostic plots for the demersal fleet catch-at-age data. Top-left: scatter plot of observed vs. fitted indices. The dotted red line indicates a 1:1 relationship. Top-right: box plot of residuals (observed - fitted) for each age. Bottom-left: box plot of residuals for each year. Bottom-right: bubble plot of residuals for each age/year combination. Bubble size is proportional to mean residuals; blue bubbles are positive residuals and red bubbles are negative residuals.

 

 

Figure 6.24. S. mentella in subareas 1 and 2. Diagnostic plots for the pelagic fleet catch-at-age data. See legend for Figure 6.23.
Figure 6.24. S. mentella in subareas 1 and 2. Diagnostic plots for the pelagic fleet catch-at-age data. See legend for Figure 6.23.

 

 

Figure 6.25. S. mentella in subareas 1 and 2. Diagnostic plots for the winter survey data. See legend for Figure 6.23.
Figure 6.25. S. mentella in subareas 1 and 2. Diagnostic plots for the winter survey data. See legend for Figure 6.23.

 

 

Figure 6.26. S. mentella in subareas 1 and 2. Diagnostic plots for the ecosystem survey data. See legend for Figure 6.23.
Figure 6.26. S. mentella in subareas 1 and 2. Diagnostic plots for the ecosystem survey data. See legend for Figure 6.23.

 

 

Figure 6.27. S. mentella in subareas 1 and 2. Diagnostic plots for the Russian groundfish survey data. See legend for Figure 6.23.
Figure 6.27. S. mentella in subareas 1 and 2. Diagnostic plots for the Russian groundfish survey data. See legend for Figure 6.23.

 

 

Figure 6.28. Historic retrospective patterns of the spawning-stock biomass, F19+ and recruitment at age 2 of S. mentella as estimated by the SCAA model.
Figure 6.28. Historic retrospective patterns of the spawning-stock biomass, F19+ and recruitment at age 2 of S. mentella as estimated by the SCAA model.

 

 

Figure 6.29. Analytical retrospective patterns of the total stock biomass, spawning-stock biomass, and recruitment at age 2 of S. mentella as estimated by the SCAA model.
Figure 6.29. Analytical retrospective patterns of the total stock biomass, spawning-stock biomass, and recruitment at age 2 of S. mentella as estimated by the SCAA model.

 

8. Greenland halibut in subareas 1 and 2 (Northeast Arctic)

8.1 Status of the fisheries

8.1.1 Landings prior to 2026 (Tables 8.1–8.8, Figures 8.1–8.3)

Nominal landings by country for subareas 1 and 2 combined are presented in Table 8.1. Tables 8.2 to 8.4 give the landings for Subarea 1 and divisions 2.a and 2.b separately. Landings separated by gear type are presented in Table 8.5. Catch per unit effort is presented in Table 8.6 and total catch from 1935 to 2025 is presented in Table 8.7 and Figure 8.1.

The preliminary estimate of the total landings for 2025 is 20652 tonnes. This is 1954 tonnes less than the landings in 2024 and 8221 tonnes more than the ICES advised maximum catch for 2025 (12431 tonnes). The catches from most countries remained stable, compared to 2024. Combined landings exceeded the quotas set by the Joint Russian-Norwegian Fisheries Commission for 2025 by 1652 tonnes (total TAC 19000 tonnes). Catches in the report include all landings in ICES 1 and 2 and thus include catches in EU waters in the southern part of ICES area 2.

Some fishing for Greenland halibut has taken place in the northern part of Division 4.a during the past 20–30 years, varying between a few tonnes and up to 2577 in 1999 (Table 8.8). From 2000 total catch has ranged from 64 to 1330 tonnes, primarily taken by Norway, France, and the UK. Preliminary numbers show 318 tonnes in 2025 (Figures 8.2 and 8.3). Although there is a continuous distribution of this species from the southern part of Division 2a along the continental slope towards the Shetland area, the stock structure is unclear in this area and these landings have therefore not been added to the total from subareas 1 and 2. Recent mark-recapture and genetic investigations indicate that the stock might have a more south and westward distribution than the current ICES definition of the stock boundaries (Albert and Vollen, 2015; Vihtakari et al. 2022; Lindegren et al. 2025; Westgaard et al., 2016).

8.1.2 Advice applicable to 2027-2028

JRN-AFWG advised that when the precautionary approach is applied, catches in 2027 should be no more than 19610 tonnes. Catches in 2028 should be no more than 19914 tonnes. All catches are assumed to be landed.  

A benchmark and data workshop process led to an agreed ICES analytic assessment in 2023. The JRN-AFWG approved the use of this assessment method to generate advice in June, the same year. Greenland halibut is a long-lived species, and it is sufficient to give advice every other year. This year’s assessment will provide advice for 2027 and 2028. The assessment is described in the benchmark report (ICES 2023).  

8.1.3 Management

During the 38th session of the Joint Norwegian-Russian Fisheries Commission (JNRFC) in 2009, the ban on targeted Greenland halibut fishery was lifted, and a Total Allowable Catch (TAC) of 15000 tonnes was established for the years 2010 and 2011. From then on, the TAC gradually increased, reaching 27000 tonnes in 2021. After that, there has been a slight reduction in the TAC, driven by a reduction in the advice given.

The TAC for NEA Greenland halibut set by JNRFC applies to catches in ICES areas 1, 2a and 2b, except the Jan Mayen EEZ and the part of the UK EEZ which is north of 62°N.

In 2025, 204 tonnes were reported in the Jan Mayen area (within ICES Subarea 2), where Greenland halibut fisheries are not regulated by TAC.

Previously, Norway had a quota for Greenland halibut in the EU EEZ, which could be fished in ICES subareas 2a and 6. This TAC was partially within and partially outside the stock boundary. This area is now within the UK EEZ. The TAC allocated to Norway in the UK part of area 2a was 600 tonnes in 2024 and 360 tonnes in 2025. There is no separate ICES advice for Greenland halibut fishery in this area.

EU set a TAC of 2571 tonnes for 2024 and 1772 tonnes in 2025 in area 6; United Kingdom and Union waters of area 4; United Kingdom waters of 2a and United Kingdom and international waters of 5b. For the Greenland halibut stock in area 1 and 2, the EU/UK TAC in the part of area 2a that is within UK EEZ is of most interest. Further investigations need to be conducted to reveal historical catches in this area.  

8.1.4 Expected landings in 2026

Catches in 2025 were 20652 tonnes, which exceeded the TAC set by JRNFC and the official advice. The total Greenland halibut landings in the Barents Sea and adjacent waters (ICES subarea 1 and divisions 2a and 2b) in 2026 may thus be higher than the JRNFC TAC of 19000 tonnes. Discards are not regarded as a problem. Expected catch is therefore set to 20750 tonnes (TAC, plus the mean catch over TAC for 2020-2025, 1750 tonnes.

8.2 Status of research

8.2.1 Survey results (Tables 8.9–8.11, Figures 8.4–8.10)

The assessment uses data from the following surveys:

The Russian bottom-trawl surveys conducted in October-December (ICES acronym: G5348) cover large parts of the known distribution area of the Greenland halibut at depths of 100–900 m. A working document presenting a revised Russian index was provided to the 2021 meeting (Russkikh et al. 2021, WD12). Revised and recalculated length distributions were implemented in the 2023 assessment. Survey biomass indices increased steeply from 2005 to 2011, decreased until 2015, and have since remained relatively stable (Figures 8.4 and 8.5). Abundance indices by length are shown in Table 8.9.

The Norwegian autumn slope survey (G1165) covers the northern part of the continental slope off Norway, including the main spawning area. Biomass and abundance indices have been declining since 2010 but are now showing signs of stabilizing. (Figures 8.4–8.6). Length distributions from this survey (Figure 8.7, and Tables 8.10 and 8.11) show modes that can be tracked over time and indicate new recruitment to the adult stock. The last strong recruitment event occurred in 2017-2018, and these fish are now entering the fishable biomass. This survey was conducted annually from 1994–2009 and biennially thereafter.

The Joint Ecosystem Survey in autumn (A5216) covers a large part of the Barents Sea down to 500 m and covers areas with mainly juvenile and immature fish. Three indices for Greenland halibut are derived from this survey: one for fish between 10-17 cm, denoted Eco_SI_1, (Figure 8.8), one for fish between 17-27 cm, denoted Eco_SI_2 (Figure 8.8) and one for fish between 28 and 65 cm, denoted EcoS (Figure 8.9). The juvenile indices (Eco_SI_1 and Eco_Si_2) indicate highly variable recruitment, with intermittent strong year classes. The EcoS index for shows large fluctuations but overall remains at a lower level than at the beginning of the time-series.

The joint winter survey in the Barents Sea (A6996) has been run from 1986 to the present (jointly with Russia since 2000, except 2006 and 2007). The survey mainly covers depths of 100–500 m and does not cover the deeper slope areas. Spatially, the survey focuses on the central Barents Sea, and in later years areas west of Svalbard. Northern coverage is limited by sea ice in some years. The survey is conducted in February and thus provides information on the stock at a different time of the year than the autumn surveys. The biomass index has shown an increasing trend since 2004, with large interannual variability in recent years. From this survey, only catch distributions are used in the assessment model (Figure 8.10).

The Norwegian Southern Deepwater slope survey (G6149) is a trawl acoustic survey conducted in 2009, 2012 and biennially since then, along the continental slope in Norwegian EEZ from 62–74°N (subareas 1 and 2). Only catch distributions are used in the assessment (Figure 8.10).  

8.2.2 Commercial catch-per-unit-effort (Table 8.6)

The CPUE series (Table 8.6) for the stock was subject to the 2015 benchmark and associated data workshops (see reports from WKBUT 2013, DCWKNGHD 2014 and IBPHALI 2015, and working documents by Bakanev (WD14 WKBUT 2013) and Nedreaas (WD 2 DCWKNGHD 2014). An alternative CPUE series for the Russian fisheries for the years 2004–2015 was presented at the 2016 meeting (Mikhaylov, WD14 AFWG 2016). It shows some discrepancies compared to the previous CPUE series used for the Russian fisheries for the same years. In the CPUE series, values before 1992, when the partial moratorium was implemented, are not comparable with values after 1992 due to reduced effort leading to increased catchability. The CPUE series is not currently used in the assessment.  

8.2.3 Age readings

Based on the scientific understanding that the species is slower growing and more vulnerable than the previous age readings suggest, the Norwegian age reading methods were changed in 2006 (Albert et al., 2009). The new Norwegian age readings are not comparable with older data or the Russian age readings.

The report from Workshop on Age Reading of Greenland Halibut (WKARGH) 14–17 February 2011 (ICES CM 2011/ACOM:41) described and evaluated several age reading methods for Greenland halibut.

The different methods can be classified into two groups: A) Those that produce age–length relationships that broadly compare with the traditional methods described by the joint NAFO-ICES workshop in 1996 (ICES CM 1997/G:1); and B) Several recently developed techniques that show much higher longevity and approximately half the growth rate from 40–50 cm onwards compared to the traditional method.

A second workshop on age reading of Greenland halibut (WKARGH2) was conducted in August 2016 and worked on further validation of new age reading methods. The workshop recommended that two of the new methods could be used to provide age estimations for stock assessments. Further, recognizing some bias and low precision in methods, the WKARGH2 suggested that an aging error matrix or growth curve with error be provided for use in future stock assessments (WKARGH2 report, ICES 2016).

WKARGH2 recommends regular inter-lab calibration exercises to improve precision (i.e., exchange of digital images between readers for each method and between methods).

AFWG suggests that Russian and Norwegian scientists and age readers meet to work out issues of disagreements on Greenland halibut aging.  

8.3 Data used in the assessment

At the 2023 benchmark, all Norwegian input data were scrutinized and revised (Windsland et al. 2023, WD 2 ICES WKBNORTH). The Russian slope survey was revised by Russkikh et al. (ICES 2021, AFWG WD12) and implemented for the 2023 JRN-AFWG.

In the assessment, the catch data are split into five aggregated fleets by gear and countries. Longline/gillnet fleets include landings from gillnet, longline, and handline. Trawl fleets include landings from bottom trawl, purse-seine (very minor catches, can be bycatch or misreporting) and Danish seine. Catch in tonnes and length distributions per quarter per fleet and sex from 1992–2020 are used in the assessment. Fleets are split between Norwegian catches, Russian catches, and catches from 3rd countries. Selectivities are allowed to vary by sex to account for sexual dimorphism influencing vulnerability to fishing. Catches are aggregated into following fleets:

  • Russian, trawl and minor gears

  • Russian, gillnet and longline

  • Norwegian, trawl and minor gears

  • Norwegian, gillnet and longline

  • 3rd countries

No survey covers the whole stock distribution area. The model uses length distributions and biomass indices from three surveys. From these surveys the following indices go into the current assessment:

  • EggaN_S– based on the Norwegian slope survey.

  • Eco_SI_1 and Eco_SI_2 - juvenile indices based on 10-17 cm and 18-27 cm fish in the Joint Ecosystem survey.

  • EcoS_SI - an index for fish 28-65 cm, based on data from the Joint Ecosystem survey.

  • RussianS_SI - Russian bottom-trawl survey in the Barents Sea in autumn.

In addition, catch length distributions from the Norwegian Southern Deepwater slope survey and the Joint Winter Survey are used in the assessment. Age data from the Norwegian autumn slope survey was used in the tuning. The age data was provided using the frozen whole right otolith method recommended by WKARGH2 (ICES 2017).

No CPUE indices are used in the tuning.

8.4 Methods used in the assessment (Table 8.13)

A new assessment method with a length and age-based GADGET model was benchmarked in 2023.

At the JRN_AFWG meeting in 2024, the revision of the Russian Slope Survey was implemented in the assessment. This revision required recalculation of reference points that are given in Table 8.13. Advice for the stock is given biennially.

This year’s assessment provides advice for 2027 and 2028.

8.4.1 Model settings

Model used: Gadget3 (Lentin et al. 2022)

  • Start-year 1980.

  • One year time-step.

  • Single area model, with variable distributions handled through fleet selectivity (“fleets as areas” approach)

  • Two sexes, split into mature and immature stock components

  • Logistic maturity estimated for each sex

  • 1 cm length classes and 1-year age classes o Lengths: females; immature 1-100 cm, mature 1-120 cm - males; immature 1-65 cm, mature 1-90 cm o Age: immature 1-25+, mature 3-25+

  • Von Bertanlanffy growth estimated separately for males and females, with L inf for males fixed to 68 cm. Length at age one fixed.

  • Natural mortality set to 0.12 for females and 0.16 for males

  • Initial size of recruits fixed at 14 cm (model has proved unable to estimate this)

  • Recruitment modeled as annual numbers, no relationship with SSB (estimated directly), assumed equal recruitment of male and female

  • Initial population follows a simplifying assumption of constant recruitment, M and F, giving an exponential decay by age. A fixed maturity ogive is used to split immature and mature proportions. Standard deviations of lengths at age are externally fixed.

  • Fisheries and surveys are modeled with fixed catch in tonnes per fleet, and sex-specific selectivity estimated using length distribution data and sex-at-length data.

  • Five aggregated commercial fleets (as described above), each with sex-specific logistic selectivity

  • Three surveys used for indices (EcoS, EggaN and RussianS), with logistic selectivity (but with a min:max length range to avoid bias in indices on fish suspected to be poorly selected)

  • Only length distributions used from Winter and EggaS surveys

More detailed model description, as well as outputs and diagnostics, are shown in Vihtakari et al. (2023) (WD 17, WKBNORTH).

8.5 Results of the assessment (Tables 8.12-8.14, figure 8.11-8.15)

Model results, retrospective pattern, jitter, and short-term projections from the assessment are shown in Figures 8.11-8.15. Reference points and catch scenarios are shown in Table 8.12-8.14. The stock biomass is presented for the total 45+ cm (minimum legal landing size) population and the spawning stock (Figure 8.11).

Biomass peaked around 2013–2014 and has declined steadily since then. This trend is broadly consistent across all three tuning series (Figures 8.4, 8.7, and 8.9). However, the rate of decline appears to be slowing, and total fishable biomass is now showing signs of stabilizing. Female SSB continues to decline, but at a reduced rate compared to previous years. An upward revision of SSB has brought it above B pa . The harvest rate has increased steadily since 2009 and is now above HR MSY .

The retrospective analysis for model biomass has negative Mohn’s rho values (Figure 8.12). The retrospective patterns by year get lumped following the availability of survey data, with the Norwegian slope survey run every other year and missing years in the Russian autumn survey. As a result of this pattern, it is recommended that the assessment be run every other year rather than annually. There is a retrospective trend to increase the stock estimate over time. Peaks in recruitment were most likely exaggerated in the assessment model used before the benchmark, while in the present model they are probably underestimated. Large uncertainties in age reading probably smooth out the peaks, distributing the recruitment over multiple years. Even though the assessment most likely smooths out the recruitment, the modeled peaks show reasonably good agreement with the data from the juvenile survey indices. This stock is dominated by sporadic recruitment events, and the model does a reasonable job of capturing this.  

8.5.1 Biological reference points

Estimates of trends and biomass levels in stock dynamics are stable in the revised assessment. Therefore, the suggested reference points are for ICES category 1 stock (ICES, 2021).

The HR TARGET is set to HR MSY which equals 0.139. As recommended at the recent Benchmark (ICES 2023), this value was calculated during the meeting following the revision of the Russian survey index (Russkikh et al. WD12, AFWG 2021). The fishable biomass is taken to be the 45+ cm biomass. The B TRIGGER in the ICES Advice Rule is set to be B pa , which equals 46 747 t. B MSY has not been calculated.  

8.5.2 Exploratory assessments; surplus production models and TSVPA

Results of the assessment of the Barents Sea Greenland halibut stock based on a Bayesian surplus production model were provided by Bakanev in 2013, (WKBUT WD 14). Different sets of abundance indices were used for tuning the model. The analysis of model run results has shown that K is estimated within the range of 810 to 1139 kt, B MSY of 405 to 570 kt and MSY of 23 to 47 kt. However, the model was sensitive to the choice of prior on K. Taking into consideration a high probability of the stock size being at the level, which was quite a bit above B MSY , the risk of the biomass being below this optimal one was very small in 2002–2012 (<1%). The risk analysis of the stock size in the prediction years (2013–2020) under the catch of 0 to 30 kt indicated that the probability of the stock size being under the threshold levels (B MSY , B lim ) was also minor (less than 1%). It was concluded that further work was needed on the historical CPUE series. Based on scrutiny of the CPUE series, it was recommended to examine runs with the surplus production model for the period 1964-1991 and 1964-2005, in addition to runs for the whole 1964–2013 period. The CPUE series were considered less reliable to reflect stock dynamics than survey indices in the period after regulations of the fishery were introduced in 1992. The Bayesian surplus model was not updated for presentation at the current meeting.

A production model was presented at the 2016 meeting (Mikhaylov, 2016, WD 14), although this model has not been reviewed at a benchmark, nor were biomass trends presented at this meeting. The model has been proposed as a possible method for the estimation of long-term reference points. An update was presented at the 2019 meeting (Mikhaylov 2019, AFWG 2019 WD21). In the current version, the MSY would be around 34 kt, the B MSY around 500 kt and F MSY on the level 0.069. It should be noted that these values are not directly transferable to a different model with different biomass levels and in any case a long-term average. The WD concluded that, in general, the stock can withstand the fishing pressure in 2016, and the fishing regime was approaching optimum, indicating that the results of the exploratory surplus production model were in general alignment with the assessment.

F MSY is not appropriate to this stock given the recent extended run of poor recruitment, and such values have not been evaluated for precautionarity. In a plenary, it was concluded that it would be useful for further development of the production model to conduct separate exploratory runs for CPUE split into before and after 1992 and run with CPUE only before 1992 and survey data after 1992. This production model was not updated for presentation at the current meeting.

At the 2018 meeting, AFWG results from SPiCT production model were presented (AFWG report 2018). In the run that is presented in this report, all available data up to 2016 were used. For run with default, priors applied K = 995 421 t and deterministic reference points were B MSY = 419 955 t, F = 0.07 and MSY = 29 742 t. Stochastic reference points for this run were in a similar range. Run with default priors deactivated gives similar MSY estimates but otherwise, rather different estimates; K = 2 504 006 t, B MSY = 609 410 t, F = 0.05 and MSY = 28 097 t. Further utilization of this approach demands closer scrutiny of model settings in relation to diagnostics. The SPiCT model can be a flexible tool to examine the production model approach to Greenland halibut, however, concerns highlighted below still apply.

In principle, a production model could be used in conjunction with the GADGET assessment model to extend the simulations back in time and provide better estimates for B lim . However, the inability of production models to follow variable recruitment, and especially runs of above or below average recruitment, limits their ability to advise on this stock. In the benchmark report (IBPHALI 2015), Table 3.3 gives CPUE series and survey estimates that can be helpful for this task.

A working document (Bulatov et al. 2023, WD1 JNR-AFWG 2023) presents a comparison of two types of models: several different formulations of production models for Greenland halibut and age-structured TSVPA mode alongside a production model (the “combi” model) tuned to an index constructed from the TSVPA results. Tuning data for production model included catch in tonnes, Norwegian CPUE, Russian Survey and Winter survey indices. The biomass models showed F MSY (in a biomass model context) of around 0.05 to 0.07 and B MSY of 437-620 kt, giving long-term MSY yields of between 32.3kt and 37.47kt. A TSVPA model was constructed, and the overall trend (with F MSY at age 9 at 0.14, and MSY yield of between 28.2kt and 31.5kt) was presented. A biomass model tuned to TSVPA as a relative index of abundance gave a F MSY (again in production model context) of 0.15 and long-term MSY yield of 28.4kt. The use of TISVPA results allowed us to build a recruitment model (Beverton-Holt and “hockey stick” models) that predicts an approximately constant replenishment level (25 million at age 5), which justifies the assumptions accepted in new version of GADGET. However, given difficulties in the tuning indices noted below, the group does not feel that reliance can be placed on the absolute level of these results.

By analogy with the calculations carried out in 2023 (Bulatov et al. 2023, WD1 JNR-AFWG 2023), the stock status was estimated in 2026 (WD8 JNR-AFWG 2026) using the TSVPA model for natural mortality levels m=0.12 (females) and m=0.16 (males). The results of the assessment of TSB and SSB amounted to 129 and 99 ktonnes for the first case and 186 and 140 ktonnes for the second case, respectively. The number of recruitment (age 5) was estimated at 20.1 million numbers in the first case and 33.6 million numbers in the second one. The TISVPA model has shown stable recruitment over the past 15 years for both cases. The median recruitment level was 21.5 million numbers in the first case, and 29.6 in the second. The yield per recruit were 0.966 kg and 0.750 kg. The MSY and TAC estimates were 20.9 and 19.6 ktonnes for the first case and 22.2 and 25.2 ktonnes for the second case, respectively.

The group notes that there are two key problems in tuning data used in this WD, one is that the CPUE has an artificial step-change (increase) after the reduction in effort due to the partial moratorium in 1992 and will thus likely drive the hypothetical artificial fast rise in population from that point. The other is that the winter survey has had a trend to expand coverage area over time, and therefore the increasing trend in the swept area index is, at least partially, driven by this rather than any stock trends. Therefore, neither the full time series of CPUE nor the simple winter survey estimate should be used for model tuning. Furthermore, the new age reading methods imply considerably slower growth rate and increased longevity, compared to the traditional method used for age data in the TSVPA model (ICES WKARGH 2011, ICES WKARGH2 2016), and the old age readings should not be used in model tuning. It is also questionable if a biomass model is able to track the trends of this stock (where the population seems to be driven by variability in recruitment success).

In terms of trends, the TSVPA and the “Combi” biomass model tuned to a TSVPA-derived index were broadly similar to each other and to the new Gadget model. Key differences were that the TSVPA rose more steeply than Gadget after the 1992 low point, and the Combi model more steeply again. It seems likely that this could be explained by the use of CPUE tuning data (with its artificial rise post 1992) in the Combi and TSVPA models. The other key point of difference is that the Gadget model shows a downturn starting in c. 2012, while the other models only turn down in 2021. One possible reason for this is that the Gadget model uses Ecosystem and Norwegian slope survey indices alongside the Russian index, while the models presented here use the Winter Survey (which has an artificial increasing trend due to increasing coverage).

The group concluded that the TSVPA model was worth continuing developing, with potential use as an auxiliary model (as for NEA cod and haddock), although its accuracy would continue to be hampered by the limited age reading on this species with new age reading methods. Using different tuning series and the more modern age reading method should result in a TSVPA model which could be used as an auxiliary model and could then be compared with the Gadget assessment. Effort should also be placed into continuing the age reading work, as an improved age data series would benefit both Gadget and age-based models such as TSVPA.

8.6 Comments to the last assessment

An overview of model exploration before, and at, the benchmark is given in the benchmark report (Vihtakari et al. WD 17, ICES 2023). At the JRN-AFWG in 2023 the assessment was updated by adding the revised Russian survey index. Between the end of the physical benchmark meeting and completion of the final model the following adjustments were made: recalculation of data weighting, and flat-top selectivity applied to all fleets. In addition, the Russian survey was revised as noted previously.

Within the fisheries in the Barents Sea and the associated continental slope, fish tend to move to the slope as they mature. This means that fisheries on the shelf tend to catch fewer large, mature fish. The Barents Sea Greenland halibut Gadget model was designed to be a “fleets as areas model”, where fleet selectivity would take care of the issue of the larger fish moving out of the areas covered by some fleets and surveys. However, the dome-shaped selectivity required for this was problematic. Dome-shaped selectivity increased the estimated biomass for mature females early on during the time-series but did not influence female SSB estimates toward the end of the time-series. This led to unrealistically pessimistic ratio between current stock status and recalculated Blim , reducing the TAC estimate for 2025 to 7200 tonnes, which was deemed too low in the current situation by the experience and other model exploration using compiled survey indices. The model was therefore again run with logistic (flat-topped) selectivities, as in the 2023 assessment. The logistic selectivities were also kept in this year’s assessment.

The Greenland halibut population extends past the Joint Norwegian Russian Fisheries Commission (JNRFC) domain and surveys considered in the assessment do not cover the entire distribution (Albert & Vollen 2015, Westgaard et al. 2017, Vihtakari et al. 2022, Ubeda et al. 2023).

In the EggaN 2025 survey, one very large station (4.5 tonnes) contributed about 12% of the total biomass and strongly influenced the assessment and advice. Removing it reduced the advice by 1200 tonnes. This shows that the results are sensitive to single extreme observations, so this influence should be kept in mind when interpreting the advice, and quotas should not be set above the recommended level.

According to the jitter analysis, the model trends can be considered stable (Figure 8.13).

8.6.1 Future work

Efforts to improve stock assessment in the future should include:

  • Gather age data over more years.

  • Examine further Norwegian and joint Norwegian/Russian survey indices using VAST (mixed models) or similar statistical analysis.

  • Start the work on preparing data for the future benchmark and for subsequent developing harvest control rules

  • Examine how to implement new evidence for south and westward extension of stock structure. Extensive work studying this extension as presented at the meeting.

 


8.7 Tables and figures

 

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 2165 138 0 0 0 0 0 3540 0 0 15181 0 23 21047
1985 0 0 0 4000 239 0 0 0 0 0 5287 0 0 10237 0 5 19768
1986 0 0 42 2718 13 0 0 0 0 0 7783 0 0 12200 0 12 22768
1987 0 0 0 2024 13 0 0 0 0 0 6893 0 0 9733 0 81 18744
1988 0 0 186 744 67 0 0 0 0 0 8811 0 0 9430 0 84 19322
1989 0 0 67 600 31 0 0 0 0 0 8837 0 0 8812 0 6 18353
1990 0 0 163 954 49 0 0 0 0 0 16615 0 0 4764 0 10 22555
1991 11 2564 314 101 119 0 0 0 0 0 27585 0 0 2490 132 2 33318
1992 0 0 16 13 111 13 0 0 0 0 7668 0 31 718 23 10 8603
1993 2 0 61 22 80 8 56 0 0 30 10379 0 43 1235 0 16 11932
1994 4 0 18 296 55 3 15 5 0 4 8428 0 36 283 1 78 9226
1995 0 0 12 35 174 12 25 2 0 0 9368 0 84 794 1106 122 11734
1996 0 0 2 81 219 123 70 0 0 0 11623 0 79 1576 200 374 14347
1997 0 0 27 56 253 0 62 2 0 0 7661 12 50 1038 157 92 9410
1998 0 0 57 34 67 0 23 2 0 0 8435 31 99 2659 259 227 11893
1999 0 0 94 34 0 38 7 2 0 0 15004 8 49 3823 319 139 19517
2000 0 0 0 15 45 0 16 1 0 0 9083 3 37 4568 375 154 14297
2001 0 0 0 58 122 0 18 1 0 0 10896 2 35 4694 418 130 16374
2002 0 219 0 42 7 22 4 6 0 0 7143 5 14 5584 178 69 13293
2003 0 0 459 18 2 14 0 1 0 0 8215 5 19 4384 230 99 13446
2004 0 0 0 9 0 0 10 0 0 0 13939 1 50 4662 186 43 18900
2005 0 170 0 8 32 0 0 0 0 0 13011 0 23 4883 660 47 18834
2006 0 0 204 8 46 0 8 0 0 196 11118 201 26 6055 2 12 17876
2007 0 0 203 8 40 198 15 0 0 0 8230 200 50 6484 11 19 15458
2008 0 0 663 5 41 0 28 0 0 0 7393 201 46 5294 112 26 13809
2009 0 0 422 19 16 16 15 2 0 0 8446 204 237 3335 202 68 12982
2010 0 0 272 14 102 15 16 0 0 0 7700 3 11 6888 188 26 15235
2011 0 0 538 80 46 4 7 0 0 234 8348 169 21 7053 144 40 16684
2012 0 0 563 40 40 12 13 0 0 0 9331 22 1 10041 186 35 20284
2013 0 0 783 49 168 22 106 1 0 0 10404 30 7 10306 12 92 21980
2014 0 0 887 33 269 24 86 0 0 0 10997 19 0 10061 23 212 22611
2015 0 0 724 33 230 16 98 0 0 0 10874 13 1 12953 25 114 25081
2016 2 353 1078 9 229 18 75 0 0 0 12932 26 19 10561 27 56 25385
2017 0 523 993 21 177 26 10 0 3 72 13741 26 13 10713 36 83 26437
2018 2 574 401 50 150 20 24 0 0 206 14875 27 6 12071 60 134 28600
2019 0 588 350 44 105 23 10 0 0 348 14867 122 8 12196 87 75 28823
2020 1 579 514 73 39 48 19 0 0 261 14526 97 9 12265 96 45 28572
2021 1 382 749 88 137 14 40 0 0 125 14008 14 0 12396 125 177 28256
2022 0 253 1052 94 86 50 27 0 0 136 13800 0 0 11746 163 114 27521
2023 1 98 1026 77 61 11 33 0 84 75 14198 0 0 11317 72 73 27126
2024* 0 172 1062 186 83 16 13 0 69 0 11290 0 44 9581 56 34 22606
2025* 0 96 1568 208 38 59 0 1 61 56 9928 0 54 8440 76 67 20652
Table 8-1. Greenland halibut in subareas 1 and 2. Nominal Catch (t) by countries (Subarea 1, divisions 2a, and 2b combined) as officially reported to ICES.

* Preliminary figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 0 0 0 0 0 0 0 398 0 0 81 0 17 496
1985 0 0 0 0 0 0 0 0 0 0 524 0 0 122 0 1 647
1986 0 0 0 1 0 0 0 0 0 0 538 0 0 615 0 6 1160
1987 0 0 0 2 0 0 0 0 0 0 771 0 0 259 0 10 1042
1988 0 0 9 4 0 0 0 0 0 0 901 0 0 420 0 7 1341
1989 0 0 0 0 0 0 0 0 0 0 2038 0 0 482 0 0 2520
1990 0 0 7 0 0 0 0 0 0 0 1304 0 0 321 0 0 1632
1991 0 164 0 0 0 0 0 0 0 0 2027 0 0 522 0 0 2713
1992 0 0 0 0 0 0 0 0 0 0 2349 0 0 467 0 0 2816
1993 0 0 32 0 0 0 56 0 0 0 1754 0 0 867 0 0 2709
1994 0 0 17 217 0 0 15 0 0 0 1165 0 0 175 0 0 1589
1995 0 0 12 0 0 0 25 0 0 0 1352 0 0 270 84 0 1743
1996 0 0 2 0 0 0 70 0 0 0 911 0 0 198 0 0 1181
1997 0 0 15 0 0 0 62 0 0 0 610 0 0 170 0 0 857
1998 0 0 47 0 0 0 23 0 0 0 859 0 0 491 0 2 1422
1999 0 0 91 0 0 13 7 0 0 0 1101 0 0 1203 0 0 2415
2000 0 0 0 0 0 0 16 0 0 0 1021 0 0 1169 0 0 2206
2001 0 0 0 0 0 0 9 0 0 0 858 0 0 951 0 2 1820
2002 0 0 0 3 0 0 0 0 0 0 834 0 0 1167 0 0 2004
2003 0 0 48 0 0 2 0 1 0 0 962 1 0 887 0 1 1902
2004 0 0 0 0 0 0 1 0 0 0 866 0 0 633 0 3 1503
2005 0 0 0 0 1 0 0 0 0 0 572 0 0 595 0 3 1171
2006 0 0 17 1 0 0 1 0 0 0 575 0 0 626 0 2 1222
2007 0 0 18 0 1 198 3 0 0 0 514 0 3 438 0 4 1179
2008 0 0 13 0 1 0 5 0 0 0 599 0 0 390 0 0 1008
2009 0 0 33 0 0 16 5 0 0 0 734 0 0 483 0 0 1271
2010 0 0 15 0 0 0 16 0 0 0 659 0 0 708 0 0 1398
2011 0 0 63 0 0 0 6 0 0 0 862 0 0 782 0 0 1713
2012 0 0 8 5 0 0 7 0 0 0 921 0 0 1368 0 7 2316
2013 0 0 39 1 8 0 100 0 0 0 1055 4 0 1440 2 8 2657
2014 0 0 143 8 11 19 38 0 0 0 1036 7 0 1261 1 14 2538
2015 0 0 108 14 5 14 47 0 0 0 1091 5 0 1681 8 10 2983
2016 0 353 88 2 3 3 38 0 0 0 1265 12 0 1171 0 20 2955
2017 0 519 133 4 4 2 8 0 3 72 1389 9 1 1125 3 21 3293
2018 0 574 104 9 16 2 20 0 0 199 1008 4 1 1083 2 97 3119
2019 0 588 116 27 9 6 6 0 0 348 939 119 0 932 16 49 3155
2020 0 579 123 37 3 15 18 0 0 258 1389 96 0 788 36 2 3344
2021 0 382 200 17 1 10 35 0 0 125 1617 9 0 713 14 11 3134
2022 0 253 117 21 24 6 0 0 0 136 1151 0 0 494 18 0 2220
2023 0 98 181 6 9 5 0 0 84 74 978 0 0 611 28 0 2074
2024* 0 172 73 81 7 2 0 0 63 0 632 0 3 991 7 0 2031
2025* 0 96 31 142 7 1 0 1 61 56 677 0 38 518 1 1 1630
Table 8-2 . Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1 as officially reported to ICES.

* Preliminary figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 265 138 0 0 0 0 0 3062 0 0 5459 0 1 8925
1985 0 0 0 254 239 0 0 0 0 0 4691 0 0 6894 0 2 12080
1986 0 0 6 97 13 0 0 0 0 0 6302 0 0 5553 0 6 11977
1987 0 0 0 75 13 0 0 0 0 0 5550 0 0 4739 0 54 10431
1988 0 0 177 150 67 0 0 0 0 0 7671 0 0 4002 0 58 12125
1989 0 0 67 104 31 0 0 0 0 0 6265 0 0 4964 0 6 11437
1990 0 0 133 12 49 0 0 0 0 0 7605 0 0 1246 0 1 9046
1991 0 1400 314 21 119 0 0 0 0 0 11189 0 0 305 0 1 13349
1992 0 0 16 1 108 13 0 0 0 0 3586 0 15 58 0 1 3798
1993 0 0 29 14 78 8 0 0 0 0 7977 0 17 210 0 2 8335
1994 0 0 0 33 47 3 0 4 0 0 6382 0 26 67 0 14 6576
1995 0 0 0 30 174 12 0 2 0 0 6354 0 60 227 0 85 6944
1996 0 0 0 34 219 123 0 0 0 0 9508 0 55 466 4 335 10744
1997 0 0 0 23 253 0 0 0 0 0 5702 0 41 334 1 46 6400
1998 0 0 0 16 67 0 0 1 0 0 6661 0 80 530 5 115 7475
1999 0 0 0 20 0 25 0 2 0 0 13064 0 33 734 1 108 13987
2000 0 0 0 10 43 0 0 0 0 0 7536 0 18 690 1 108 8406
2001 0 0 0 49 122 0 9 1 0 0 8935 0 13 726 5 86 9946
2002 0 0 0 9 7 22 4 0 0 0 5877 0 3 849 0 40 6811
2003 0 0 390 5 2 12 0 0 0 0 6713 0 10 1762 14 63 8971
2004 0 0 0 4 0 0 9 0 0 0 11704 0 24 810 4 1 12556
2005 0 0 0 3 31 0 0 0 0 0 11216 0 11 1406 0 23 12690
2006 0 0 175 0 38 0 7 0 0 0 8897 0 6 950 0 8 10081
2007 0 0 162 2 37 0 12 0 0 0 6761 0 2 489 0 10 7475
2008 0 0 646 4 38 0 23 0 0 0 5566 1 1 1170 3 16 7468
2009 0 0 379 0 13 0 10 0 0 0 6456 0 9 1531 0 60 8458
2010 0 0 255 0 102 15 0 0 0 0 6426 0 0 4757 0 22 11577
2011 0 0 467 0 45 4 1 0 0 0 7080 0 0 3643 0 4 11244
2012 0 0 553 0 37 12 6 0 0 0 7934 0 0 3878 0 14 12434
2013 0 0 739 0 150 22 6 0 0 0 8213 0 2 4144 0 75 13351
2014 0 0 741 0 255 1 48 0 0 0 8640 0 0 4800 0 184 14669
2015 0 0 614 2 221 2 51 0 0 0 8742 0 1 3691 0 79 13403
2016 0 0 986 6 216 14 37 0 0 0 10073 6 7 1797 0 19 13161
2017 0 0 841 0 161 21 2 0 0 0 10126 0 7 1853 0 16 13027
2018 0 0 296 1 104 9 4 0 0 1 11255 2 5 1398 0 6 13081
2019 0 0 232 15 95 16 4 0 0 0 12143 3 7 2754 3 12 15284
2020 0 0 385 21 34 28 1 0 0 0 11430 0 8 2690 0 3 14600
2021 0 0 530 20 123 4 5 0 0 0 9647 0 0 842 5 109 11285
2022 0 0 888 10 27 4 27 0 0 0 9814 0 0 740 0 25 11535
2023 0 0 775 18 14 2 33 0 0 0 11421 0 0 1248 4 24 13539
2024* 0 0 969 26 35 13 13 0 0 0 8885 0 21 1101 1 5 11069
2025* 0 0 1501 30 13 58 0 0 0 0 8613 0 14 2437 3 0 12669
Table 8-3 . Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Division 2a as officially reported to ICES.

* Preliminary figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 1900 0 0 0 0 0 0 80 0 0 9641 0 5 11626
1985 0 0 0 3746 0 0 0 0 0 0 71 0 0 3221 0 2 7040
1986 0 0 36 2620 0 0 0 0 0 0 944 0 0 6032 0 0 9632
1987 0 0 0 1947 0 0 0 0 0 0 572 0 0 4735 0 17 7271
1988 0 0 0 590 0 0 0 0 0 0 239 0 0 5008 0 19 5856
1989 0 0 0 496 0 0 0 0 0 0 533 0 0 3366 0 0 4395
1990 0 0 23 942 0 0 0 0 0 0 7706 0 0 3197 0 9 11877
1991 11 1000 0 80 0 0 0 0 0 0 14369 0 0 1663 132 1 17256
1992 0 0 0 12 3 0 0 0 0 0 1732 0 16 193 23 9 1988
1993 2 0 0 8 2 0 0 0 0 30 649 0 26 158 0 14 889
1994 4 0 1 46 8 0 0 1 0 4 881 0 10 41 1 64 1061
1995 0 0 0 5 0 0 0 0 0 0 1662 0 24 297 1022 37 3047
1996 0 0 0 47 0 0 0 0 0 0 1204 0 24 912 196 39 2422
1997 0 0 12 33 0 0 0 2 0 0 1349 12 9 534 156 46 2153
1998 0 0 10 18 0 0 0 1 0 0 915 31 19 1638 254 110 2996
1999 0 0 3 14 0 0 0 0 0 0 839 8 16 1886 318 31 3115
2000 0 0 0 5 2 0 0 1 0 0 526 3 19 2709 374 46 3685
2001 0 0 0 9 0 0 0 0 0 0 1103 2 22 3017 413 42 4608
2002 0 219 0 30 0 0 0 6 0 0 432 5 11 3568 178 29 4478
2003 0 0 21 13 0 0 0 0 0 0 541 4 9 1735 216 35 2574
2004 0 0 0 5 0 0 0 0 0 0 1369 1 26 3219 182 39 4841
2005 0 170 0 5 0 0 0 0 0 0 1223 0 12 2882 660 21 4973
2006 0 0 12 7 8 0 0 0 0 196 1647 201 20 4479 2 2 6574
2007 0 0 23 6 2 0 0 0 0 0 955 200 45 5557 11 5 6804
2008 0 0 4 1 2 0 0 0 0 0 1229 200 45 3734 109 10 5334
2009 0 0 10 19 3 0 0 2 0 0 1256 204 228 1321 202 8 3253
2010 0 0 2 14 0 0 0 0 0 0 615 3 11 1423 188 4 2260
2011 0 0 8 80 1 0 0 0 0 234 406 169 21 2628 144 36 3727
2012 0 0 2 35 3 0 0 0 0 0 476 22 1 4795 186 14 5534
2013 0 0 5 48 10 0 0 1 0 0 1136 26 5 4724 10 9 5974
2014 0 0 3 25 3 4 0 0 0 0 1321 12 0 4000 22 14 5404
2015 0 0 2 17 4 0 0 0 0 0 1042 8 0 7581 17 25 8696
2016 2 0 4 1 10 1 0 0 0 0 1594 8 12 7593 27 17 9269
2017 0 4 19 17 12 3 0 0 0 0 2226 17 5 7737 33 46 10119
2018 2 0 1 40 30 9 0 0 0 6 2611 21 0 9590 58 31 12399
2019 0 0 2 2 1 1 0 0 0 0 1784 0 1 8512 68 14 10385
2020 1 0 6 15 2 5 0 0 0 3 1707 1 1 8788 60 40 10629
2021 1 0 19 51 13 0 0 0 0 0 2744 5 0 10839 106 57 13835
2022 0 0 47 63 35 40 0 0 0 0 2835 0 0 10512 145 89 13766
2023 1 0 70 53 38 4 0 0 0 1 1800 0 0 9458 40 49 11514
2024* 0 0 20 79 41 1 0 0 6 0 1772 0 20 7489 48 29 9505
2025* 0 0 36 36 18 0 0 0 0 0 639 0 2 5485 72 66 6354
Table 8-4 . Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Division 2b as officially reported to ICES.

* Preliminary figures.

 


Year Gillnet Longline Trawl Danish seine Other
1984 1198 3760 16072 9 7
1985 1668 2484 15532 2 83
1986 1637 2626 18501 4 0
1987 2021 2198 14456 7 61
1988 2691 2381 14226 21 3
1989 1282 1738 15304 NA 29
1990 1264 2322 18539 0 430
1991 1904 4652 26698 53 10
1992 1598 1913 5030 33 28
1993 1497 3047 7359 29 NA
1994 1548 2319 5330 29 0
1995 1588 4167 5902 68 8
1996 1495 4582 8123 87 60
1997 998 3388 4984 15 25
1998 1327 3834 6660 25 46
1999 2570 6842 9970 75 61
2000 1765 4972 7431 62 67
2001 2111 6239 7832 124 67
2002 1737 5273 6120 117 46
2003 2049 5330 5791 242 34
2004 2384 7126 8766 614 9
2005 1842 7512 9014 441 24
2006 1503 6137 10023 205 10
2007 998 4500 9836 120 4
2008 901 3574 9318 9 8
2009 1409 4954 6567 34 17
2010 1449 5440 8166 170 10
2011 1583 5040 9807 239 15
2012 1929 5601 12337 413 5
2013 2397 5808 13600 176 0
2014 2647 6146 13628 183 8
2015 2508 6287 15778 489 18
2016 2646 7288 14771 650 30
2017 2677 7223 15832 681 27
2018 3021 7302 17423 842 11
2019 3343 7029 17335 1118 0
2020 2976 6984 17542 1055 17
2021 2930 7382 17025 884 33
2022 2996 6426 17094 990 16
2023 3397 6244 16178 1293 15
2024* 2750 4754 13932 1154 16
2025* 2518 4667 12514 927 27
Table 8-5. Greenland halibut in subareas 1 and 2. Landings by gear (t).

* Preliminary figures.

Year   USSR catch/hour trawling (t) Norway10 catch/hour trawling (t) Average CPUE Total effort (in 1000 hrs trawling)5 CPUE 7+6 GDR7 (catch/day tonnage (kg))
    RT1   PST2   A8 B9 A3 B4      
1965   0.80   -   - - 0.80 - - - -
1966   0.77   -   - - 0.77 - - - -
1967   0.70   -   - - 0.70 - - - -
1968   0.65   -   - - 0.65 - - - -
1969   0.53   -   - - 0.53 - - - -
1970   0.53   -   - - 0.53 - 169 0.50 -
1971   0.46   -   - - 0.46 - 172 0.43 -
1972   0.37   -   - - 0.37 - 116 0.33 -
1973   0.37   -   0.34 - 0.36 - 83 0.36 -
1974   0.40   -   0.36 - 0.38 - 100 0.36 -
1975   0.39   0.51   0.38 - 0.39 0.45 99 0.37 -
1976   0.40   0.56   0.33 - 0.37 0.45 100 0.34 -
1977   0.27   0.41   0.33 - 0.30 0.37 96 0.26 -
1978   0.21   0.32   0.21 - 0.21 0.27 123 0.17 -
1979   0.23   0.35   0.28 - 0.26 0.32 67 0.19 -
1980   0.24   0.33   0.32 - 0.28 0.33 47 0.25 -
1981   0.30   0.36   0.36 - 0.33 0.36 42 0.28 -
1982   0.26   0.45   0.41 - 0.34 0.43 39 0.37 -
1983   0.26   0.40   0.35 - 0.31 0.38 58 0.32 -
1984   0.27   0.41   0.32 - 0.30 0.37 59 0.30 -
1985   0.28   0.52   0.37 - 0.33 0.45 44 0.37 -
1986   0.23   0.42   0.37 - 0.30 0.40 57 0.32 -
1987   0.25   0.50   0.35 - 0.30 0.43 44 0.35 -
1988   0.20   0.30   0.31 - 0.26 0.31 63 0.26 4.26
1989   0.20   0.30   0.26 - 0.23 0.28 73 0.19 2.95
1990   -   0.20   0.27 - - 0.24 95 0.16 1.66
1991   -   -   0.24 - - - 134 0.18 -
1992   -   -   0.46 0.72 - - 20 0.29 -
1993   -   -   0.79 1.22 - - 15 0.65 -
1994   -   -   0.77 1.27 - - 11 0.70 -
1995   -   -   1.03 1.48 - - - - -
1996   -   -   1.45 1.82 - - - - -
1997   0.71   -   1.23 1.60 - - - - -
1998   0.71   -   0.98 1.35 - - - - -
1999   0.84   -   0.82 1.77 - - - - -
2000   0.94   -   1.38 1.92 - - - - -
2001   0.82 11 -   1.18 1.57 - - - - -
2002   0.85   -   1.07 1.82 - - - - -
2003   0.97 12 -   0.86 2.45 - - - - -
2004   0.63 13 -   1.16 1.79 - - - - -
2005   0.61 12 -   1.30 2.29 - - - - -
2006   0.57 12 -   0.96 2.09 - - - - -
2007   0.64 12 -   - - - - - - -
2008   0.48 12 -   - - - - - - -
2009   0.77 13 -   - - - - - - -
2010       1.57 12 - - - - - - -
2011       2.32 12              
2012       2.06 12              
2013       2.25 12              
2014       2.52 12              
Table 8-6. Greenland halibut in subareas 1 and 2. Catch per unit effort and total effort.

1 Side trawlers, 800–1000 hp. From 1983 onwards, stern trawlers (SRTM), 1000 hp. From 1997 based on research fishing.

2 Stern trawlers, up to 2000 HP.

3 Arithmetic average of CPUE from USSR RT (or SRTM trawlers) and Norwegian trawlers.

4 Arithmetic average of CPUE from USSR PST and Norwegian trawlers.

5 For the years 1981–1990, based on average CPUE type B. For 1991–1993, based on the Norwegian CPUE, type A.

6 Total catch (t) of seven years and older fish divided by total effort.

7 For the years 1988–1989, frost-trawlers 995 BRT (FAO Code 095). For 1990, factory trawlers S IV, 1943 BRT (FAO Code 090).

8 Norwegian trawlers, ISSC-code 07, 250–499.9 GRT.

9 Norwegian factory trawlers, ISSCFV-code 09, 1000-1999.9 GRT

10 From 1992 based on research fishing. 1992–1993: two weeks in May/June and October; 1994–1995: 10 days in May/June

11 Based on fishery from April-October only, a period with relatively low CPUE. In previous years fishery was carried out throughout the whole year.

12 Based on fishery from October-December only, a period with relatively high CPUE.

13 Based on fishery from October-November only.

Year Norway Russia Other Total Year Norway Russia Other Total
1935 1534 NA NA 1534 1981 3648 9276 1541 14465
1936 830 NA NA 830 1982 2997 12394 1189 16580
1937 616 NA NA 616 1983 4509 15152 2112 21773
1938 329 NA NA 329 1984 3540 15181 2326 21047
1939 459 NA NA 459 1985 5287 10237 4244 19768
1940 846 NA NA 846 1986 7783 12200 2785 22768
1941 1663 NA NA 1663 1987 6893 9733 2118 18744
1942 955 NA NA 955 1988 8811 9430 1081 19322
1943 824 NA NA 824 1989 8837 8812 704 18353
1944 678 NA NA 678 1990 16615 4764 1176 22555
1945 1148 NA NA 1148 1991 27585 2490 3243 33318
1946 1337 25 NA 1362 1992 7668 718 217 8603
1947 1409 28 NA 1437 1993 10379 1235 318 11932
1948 1877 110 NA 1987 1994 8428 283 515 9226
1949 198 177 NA 375 1995 9368 794 1572 11734
1950 1853 221 NA 2074 1996 11623 1576 1148 14347
1951 2438 423 NA 2861 1997 7661 1038 711 9410
1952 2576 377 NA 2953 1998 8435 2659 799 11893
1953 2208 393 NA 2601 1999 15004 3823 690 19517
1954 3674 416 NA 4090 2000 9083 4568 646 14297
1955 3010 290 NA 3300 2001 10896 4694 784 16374
1956 3493 446 NA 3939 2002 7143 5584 566 13293
1957 4130 505 NA 4635 2003 8215 4384 847 13446
1958 2931 1261 NA 4192 2004 13939 4662 299 18900
1959 4307 3632 NA 7939 2005 13011 4883 940 18834
1960 6662 4299 NA 10961 2006 11118 6055 703 17876
1961 7977 3836 NA 11813 2007 8230 6484 744 15458
1962 11600 1760 NA 13360 2008 7393 5294 1122 13809
1963 11300 3240 NA 14540 2009 8446 3335 1201 12982
1964 14200 26191 NA 40391 2010 7700 6888 647 15235
1965 18000 16682 NA 34682 2011 8348 7053 1283 16684
1966 16434 9768 119 26321 2012 9331 10041 912 20284
1967 17528 5737 1002 24267 2013 10404 10306 1270 21980
1968 22514 3397 257 26168 2014 10997 10061 1553 22611
1969 14856 19760 9173 43789 2015 10874 12953 1254 25081
1970 15871 35578 38035 89484 2016 12932 10561 1892 25385
1971 9466 54339 15229 79034 2017 13741 10713 1983 26437
1972 15983 16193 10872 43048 2018 14875 12071 1654 28600
1973 13989 8561 7349 29899 2019 14867 12196 1760 28823
1974 8791 16958 11972 37721 2020 14526 12265 1781 28572
1975 4858 20372 12914 38144 2021 14008 12396 1852 28256
1976 6005 16580 13469 36054 2022 13800 11746 1975 27521
1977 3017 15045 9613 27675 2023 14198 11317 1611 27126
1978 2980 14651 5884 23515 2024* 11290 9581 1735 22606
1979 2314 10311 4088 16713 2025* 9928 8440 2284 20652
1980 2528 7670 2457 12655          
Table 8-7. Greenland halibut in subareas 1 and 2. Catch history back to 1935.

* Provisional figures.

 


 

 

Year Denmark Faroe Islands France Germany Greenland Ireland Norway Russia United Kingdom Netherlands Belgium Iceland Portugal Total
1973 0 0 0 4 0 0 9 8 28 0 0 0 0 49
1974 0 0 0 2 0 0 2 0 30 0 0 0 0 34
1975 0 0 0 1 0 0 4 0 12 0 0 0 0 17
1976 0 0 0 1 0 0 2 0 18 0 0 0 0 21
1977 0 0 0 2 0 0 2 0 8 0 0 0 0 12
1978 0 0 2 30 0 0 0 0 1 0 0 0 0 33
1979 0 0 2 16 0 0 2 0 1 0 0 0 0 21
1980 0 177 0 34 0 0 5 0 0 0 0 0 0 216
1981 0 0 0 0 0 0 7 0 0 0 0 0 0 7
1982 0 0 2 26 0 0 17 0 0 0 0 0 0 45
1983 0 0 1 64 0 0 89 0 0 0 0 0 0 154
1984 0 0 3 50 0 0 32 0 0 0 0 0 0 85
1985 0 1 2 49 0 0 12 0 0 0 0 0 0 64
1986 0 0 30 2 0 0 34 0 0 0 0 0 0 66
1987 0 28 16 1 0 0 35 0 0 0 0 0 0 80
1988 0 71 62 3 0 0 19 0 1 0 0 0 0 156
1989 0 21 14 1 0 0 197 0 5 0 0 0 0 238
1990 0 10 30 3 0 0 29 0 4 0 0 0 0 76
1991 0 48 291 1 0 0 216 0 2 0 0 0 0 558
1992 1 15 416 3 0 0 626 0 1 0 0 0 0 1062
1993 1 0 78 1 0 0 858 0 10 0 0 0 0 948
1994 0 103 84 4 0 0 724 0 6 0 0 0 0 921
1995 0 706 165 2 0 0 460 0 335 0 0 0 0 1668
1996 0 0 249 1 0 0 1496 0 264 0 0 0 0 2010
1997 0 0 316 3 0 0 873 0 163 0 0 0 0 1355
1998 0 0 71 10 0 10 804 0 470 0 0 0 0 1365
1999 0 0 0 1 0 18 2157 0 401 0 0 0 0 2577
2000 0 0 41 10 0 19 498 0 259 0 0 0 0 827
2001 0 0 43 0 0 10 470 0 324 0 0 0 0 847
2002 0 0 8 0 0 2 200 0 256 0 0 0 0 466
2003 0 0 1 0 0 0 453 0 122 0 0 0 0 576
2004 0 0 0 0 0 0 413 0 90 0 0 0 0 503
2005 0 0 2 0 0 0 58 0 4 0 0 0 0 64
2006 0 0 3 0 0 0 90 0 7 0 0 0 1 101
2007 0 1 0 0 0 0 133 0 7 0 0 0 0 141
2008 0 0 0 0 0 0 15 0 22 0 0 0 0 37
2009 0 9 23 0 0 0 5 0 129 0 0 0 0 166
2010 0 1 38 0 0 0 10 0 49 0 0 1 0 99
2011 0 1 39 0 0 0 95 0 44 0 0 0 0 178
2012 0 0 14 0 0 0 788 0 43 0 0 0 0 844
2013 0 0 25 0 0 0 377 0 174 0 0 0 0 577
2014 0 2 27 0 0 0 723 0 104 0 0 0 0 856
2015 0 0 34 1 0 0 1151 0 127 0 0 0 0 1313
2016 0 0 31 0 0 0 983 0 120 0 0 0 0 1133
2017 0 0 20 0 0 0 753 0 73 0 0 0 0 847
2018 0 1 15 0 0 0 472 0 42 2 0 0 0 532
2019 0 0 21 0 0 0 241 0 14 4 0 0 0 281
2020 0 0 10 0 0 0 663 0 45 4 0 0 0 722
2021 0 4 19 0 0 0 0 0 121 0 0 0 0 143
2022 0 207 9 0 0 0 522 0 150 0 0 0 0 888
2023 0 61 5 0 0 0 473 0 171 0 0 0 0 709
2024* 0 44 6 0 125 0 739 0 52 0 0 0 0 966
2025* 0 73 1 0 0 0 224 0 20 0 0 0 0 318
Table 8-8. Greenland halibut in ICES Division 4.a (North Sea). Nominal catch (t) by countries as officially reported to ICES. Not included in the assessment.

* Preliminary figures.

 


 

 

Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] 80+ Total
1984 1138 2975 5319 9159 7185 5597 2256 1731 1539 1033 536 246 38713
1985 5606 2581 5506 7348 6676 3978 2038 1279 1154 834 414 173 37587
1986 2273 3488 6409 8074 7712 6427 2596 1263 1335 918 398 142 41034
1987 1666 2857 4025 4357 3065 1670 696 505 357 162 105 31 19496
1988 1194 1975 2647 2007 1599 1179 270 282 181 69 118 77 11599
1989 419 2180 5852 6088 3742 1990 804 490 448 233 43 30 22318
1990 254 1601 4303 3911 3608 2729 915 309 204 191 41 40 18106
1991 306 1026 3632 5059 3590 2257 639 544 153 128 56 27 17417
1992 36 879 9184 16058 12586 10043 4542 2209 1322 380 173 53 57464
1993 0 72 1456 6016 9200 5377 1954 1324 991 574 145 122 27231
1994 107 87 725 5931 6872 5827 2262 927 602 314 40 41 23736
1995 0 14 1024 10123 12263 5162 1722 1063 640 371 101 32 32516
1996 0 21 1451 17480 30966 17523 5763 1852 1029 576 151 32 76844
1997 70 121 1056 7606 16561 10309 3292 1116 943 436 107 36 41653
1998 26 166 1559 7456 19972 15019 5668 1851 869 285 105 43 53018
1999 236 131 766 5583 16452 15352 6263 2966 1435 446 194 78 49902
2000 755 708 2266 8003 17910 17443 8610 3513 2125 791 221 101 62448
2001 427 1335 4399 11113 23242 20938 9356 4117 2607 1201 518 299 79553
2002 310 1407 3845 7322 9536 5214 2657 1262 678 174 64 25 32494
2003 122 1162 3339 6484 9135 5230 3218 2948 2557 722 301 187 35403
2004 266 1529 6759 9240 13358 11174 7596 5329 3867 1819 674 506 62117
2005 136 1680 4136 8258 8866 8399 4791 3777 2361 852 293 464 44013
2006 73 1565 14827 25958 25724 18234 9501 4934 3461 1506 565 504 106850
2007 678 2394 12640 14752 15438 12187 7122 3749 2186 799 273 152 72369
2008 338 2444 10242 17093 21842 24209 18308 8870 7414 3776 1657 850 117044
2009 80 3270 22312 31713 28283 24096 16933 5995 3994 2158 706 590 140130
2010 144 3998 30662 51444 39762 32576 16815 7180 6761 3539 1334 1259 195474
2011 200 1001 18079 42924 55212 46426 38215 15612 8480 6278 3031 864 236322
2012 10 524 8728 39585 41830 33768 23212 9040 5025 3093 1598 835 167248
2013 - - - - - - - - - - - - -
2014 16 1319 8446 30085 37787 26980 16527 5917 3299 1657 571 360 132964
2015 39 1119 9310 29876 34420 24963 12575 6904 2702 820 506 183 123416
2016 - - - - - - - - - - - - -
2017 7 1270 5064 14951 24982 29977 17329 7054 3473 1502 343 387 106339
2018 - - - - - - - - - - - - -
2019 144 2186 13500 27130 28572 22536 13943 5825 3080 1654 707 466 119742
2024 1285 12941 18416 21808 20507 16015 10789 7256 5126 1434 702 189 116469
Table 8-9. Abundance indices (in thousands) of different length groups in Russian autumn survey.
Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] (80,200] Sum
1996 2 29 1009 10692 20030 11244 3760 1536 1014 411 133 58 49918
1997 1 80 1421 10690 19311 10802 3807 1837 1052 484 184 95 49764
1998 3 74 957 5763 14474 12658 5265 2243 1309 523 192 115 43577
1999 3 57 550 4629 13893 15236 6684 3356 2305 922 393 176 48203
2000 8 169 1121 4495 9538 11646 5816 2590 1347 590 220 111 37650
2001 22 355 1955 5980 11835 12829 6680 3084 1863 694 317 131 45746
2002 43 449 1897 5234 9620 11161 6319 2987 1571 636 239 126 40281
2003 23 748 3515 6958 10931 13029 8279 4769 2547 928 469 222 52419
2004 22 1014 3674 5504 8941 11044 6255 4019 2176 968 402 232 44251
2005 110 2128 5859 8307 8145 6792 4108 2866 1724 670 294 199 41202
2006 35 1214 5140 7416 8448 8047 5092 3315 2022 809 370 253 42162
2007 144 4034 18450 16416 10410 6954 4086 2026 1125 414 163 110 64331
2008 458 6041 12820 11714 7884 5978 3023 1743 1110 440 149 176 51538
2009 54 2645 13536 16751 11332 8344 4747 2413 1823 711 284 211 62851
2011 0 377 5536 14368 13765 10668 5352 1793 1612 881 440 330 55123
2013 4 134 2420 11053 12859 7408 3880 1389 688 357 213 115 40520
2015 9 774 3982 13688 15619 9195 4165 1859 867 440 194 151 50943
2017 18 342 2259 6006 9796 8924 5035 1841 832 259 132 125 35570
2019 0 677 4192 8117 9053 5738 3064 1215 570 222 73 84 33005
2021 86 1644 4635 10264 12302 9064 4643 2445 917 275 112 32 46418
2023 362 2698 3624 5179 6120 5472 2881 1388 557 183 44 63 28571
2025 295 2460 6264 8534 9110 9990 5792 2564 1304 400 190 62 46963
Table 8-10. Abundance indices of different length groups in Norwegian autumn slope survey (in thousands).
Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] (80,200] Sum
1996 0 11 334 2127 4277 2893 1893 1347 942 404 133 58 14420
1997 0 42 657 2052 3711 2902 1897 1643 1008 484 182 95 14671
1998 2 26 353 1037 2785 3986 2864 2050 1281 521 192 115 15210
1999 1 11 207 880 2367 4214 3510 2996 2235 906 385 176 17889
2000 5 64 435 1083 1377 2012 2428 2109 1292 589 220 111 11725
2001 11 159 758 1407 1648 1905 2556 2595 1838 694 317 131 14020
2002 29 207 733 1243 1297 1749 2297 2352 1528 632 239 126 12434
2003 18 345 1649 2009 1670 2340 3434 4121 2493 925 469 222 19695
2004 9 445 1534 1550 1436 2113 3029 3675 2145 950 401 232 17517
2005 35 737 1910 1925 1254 1341 2093 2576 1703 668 294 199 14735
2006 19 542 2096 2163 1789 1587 2158 2890 1971 801 369 249 16634
2007 85 2111 8639 6230 2667 1620 1897 1735 1106 405 163 107 26766
2008 249 3159 5536 3703 2137 1456 1463 1577 1095 440 149 175 21137
2009 28 1052 5223 5459 3072 2176 2155 2038 1736 700 268 200 24107
2011 0 149 1623 2757 2367 1578 1063 1354 1553 875 440 330 14088
2013 0 35 492 1632 2023 1421 1004 1035 679 354 213 115 9003
2015 5 308 1385 1954 2623 2502 1694 1374 854 440 194 151 13484
2017 15 169 864 1435 1863 1725 1908 1270 820 259 132 125 10587
2019 0 321 1714 2004 1867 1530 1379 952 531 222 73 84 10678
2021 40 851 1775 1793 2203 1798 2152 2066 880 275 112 32 13976
2023 164 1284 1578 1298 1390 1338 1318 1187 546 183 44 63 10392
2025 134 1035 2270 1931 1575 1589 1826 1994 1263 392 190 62 14260
Table 8-11. Abundance indices of females of different length groups in Norwegian autumn slope survey (in thousands).
Framework Reference point Value Technical basis
MSY approach MSY 19142 t Maximum sustainable yield
HR MSY 0.139 HR (>=45cm) leading to MSY
Precautionary approach B lim 33391 t Lowest modelled mature female substock biomass
B pa 46747 t B lim x 1.4
B trigger 46747 t B pa
HR lim 0.165 HR (>=45cm) leading to P(SSB<B lim )=0.5
HR pa 0.145 HR(>=45cm), when ICES AR is applied, leading to P(SSB > Blim) = 0.05
Table 8-12. Reference points, values, and their technical basis for NEA G. halibut.
Basis Total catch (2027) HR (2027) SSB (2028) % Biomass change * % TAC change ** % Advice change ***
Advice basis
HRMSY 19610 0.139 51979 -1.2 3.2 31.7
Other scenarios
HR=0 0 0 61249 16.4 -100 -100
HRMSY + expected catch over TAC**** 21360 0.151 51152 -2.8 12.4 43.4
Table 8-13. Greenland halibut in ICES subareas 1 and 2 (Northeast Arctic). Annual catch scenarios for 2027. All weights are in tonnes. The advice basis using HRMSY and two other scenarios are listed in the first column. Columns thereafter: total allowable catch (TAC), harvest rate (HR) for ≥45 cm fish, female spawning stock biomass (SSB) in the beginning of 2028.

* SSB start of 2028 relative to end of 2026.   

** Advice value for 2027 relative to the TAC value in 20226 (19 000 tonnes).  

*** Advice value for 202 7 relative to the advice value for 202 6 (14 891 tonnes) .  

**** Assuming that TAC for 2027 is set equal to advice, but accounting for the 2020-2025 average catch over TAC (1750 tonnes)

Basis Total catch (2028) HR (2028) SSB (2029) % Biomass change * % TAC change ** % Advice change ***
Advice basis
HRMSY 19914 0.139 51828 -1.5 4.8 33.7
Other scenarios
HR=0 0 0 71062 35 -100 -100
HRMSY + expected catch over TAC**** 21664 0.153 50154 -4.7 14.0 45.5
Table 8-14. Greenland halibut in ICES subareas 1 and 2 (Northeast Arctic). Annual catch scenarios for 2028. All weights are in tonnes. The advice basis using HRMSY and three other scenarios are listed in the first column. Columns thereafter: total allowable catch (TAC), harvest rate (HR) for ≥45 cm fish, female spawning stock biomass (SSB) in the beginning of 2029.

* SSB start of 2029 relative to end of 2026, i.e the cumulative change over the 2-year advice period.   

** Advice value for 2027 relative to the TAC value in 2024 (19 000 tonnes).  

*** Advice value for 202 7 relative to the advice value for 202 4 (14 891 tonnes) .  

**** Assuming that TAC for 2028 is set equal to advice, but accounting for the 2020-2025 average catch over TAC (1750 tonnes)

 

Figure 8 ‑ 1 . NEA Greenland halibut landings. Historical landings (Nedreaas and Smirnov 2003 and AFWG).
Figure 8 ‑ 1 . NEA Greenland halibut landings. Historical landings (Nedreaas and Smirnov 2003 and AFWG).

 

 

Figure 8 ‑ 2 . Spatial distribution of Greenland halibut catches in 2025 according to Norwegian electronic logbooks, in all registered fisheries including bycatch (A), and catches where Greenland halibut make more than 50% of the total catches (B).
Figure 8 ‑ 2 . Spatial distribution of Greenland halibut catches in 2025 according to Norwegian electronic logbooks, in all registered fisheries including bycatch (A), and catches where Greenland halibut make more than 50% of the total catches (B).

 

 

Figure 8 ‑ 3 . Spatial distribution of catches where Greenland halibut make more than 50% of the total catches, according to Norwegian electronic logbooks from 2025. Bubble area is proportional to the size of single catches expressed in metric tonnes.
Figure 8 ‑ 3 . Spatial distribution of catches where Greenland halibut make more than 50% of the total catches, according to Norwegian electronic logbooks from 2025. Bubble area is proportional to the size of single catches expressed in metric tonnes.

 

 

Figure 8 ‑ 4 . NEA Greenland halibut. Total biomass estimates from Russian autumn survey and the Norwegian slope survey (for females (top panel) and sexes combined (bottom panel)). Note that the Norwegian survey is run every other year since 2009.
Figure 8 ‑ 4 . NEA Greenland halibut. Total biomass estimates from Russian autumn survey and the Norwegian slope survey (for females (top panel) and sexes combined (bottom panel)). Note that the Norwegian survey is run every other year since 2009.

 

 

Figure 8 ‑ 5 . Greenland halibut abundance by sex for Russian autumn survey (Russkikh and Smirnov, WD16 AFWG 2016) and Norwegian slope survey. Russian data from 1992 and onwards are revised in 2021 (Russkikh WD12).
Figure 8 ‑ 5 . Greenland halibut abundance by sex for Russian autumn survey (Russkikh and Smirnov, WD16 AFWG 2016) and Norwegian slope survey. Russian data from 1992 and onwards are revised in 2021 (Russkikh WD12).

 

 

Figure 8 ‑ 6 . Estimated Greenland halibut abundance (upper panel) and biomass (lower panel), by sex, from the Norwegian autumn slope survey (EggaN).
Figure 8 ‑ 6 . Estimated Greenland halibut abundance (upper panel) and biomass (lower panel), by sex, from the Norwegian autumn slope survey (EggaN).

 

 

Figure 8 ‑ 7 . Length frequency distribution in the EggaN abundance index. Note biennial surveys after 2009.
Figure 8 ‑ 7 . Length frequency distribution in the EggaN abundance index. Note biennial surveys after 2009.

 

 

Figure 8 ‑ 8 . Total juvenile biomass indices Eco_SI_1 (10-17cm) and Eco_SI_2(18-27cm) (sex distribution is assumed 50/50 in the juvenile area) for Greenland halibut based on the Barents Sea Ecosystem Survey (A5216).
Figure 8 ‑ 8 . Total juvenile biomass indices Eco_SI_1 (10-17cm) and Eco_SI_2(18-27cm) (sex distribution is assumed 50/50 in the juvenile area) for Greenland halibut based on the Barents Sea Ecosystem Survey (A5216).

 

 

Figure 8 ‑ 9 . EcoS biomass index for Greenland halibut in the Barents Sea Ecosystem Survey (A5216).
Figure 8 ‑ 9 . EcoS biomass index for Greenland halibut in the Barents Sea Ecosystem Survey (A5216).

 

 

Figure 8 ‑ 10 . Length distributions from survey data: EggaS (left) and WinterS (right).
Figure 8 ‑ 10 . Length distributions from survey data: EggaS (left) and WinterS (right).

 

 

Figure 8 ‑ 11 . From top left to bottom right: Catch (1000 tonnes), recruitment estimate (in millions) for 2year olds, harvest rate and Spawning stock biomass (SSB) and total stock biomass (TSB) for Greenland halibut as estimated by the GADGET model.
Figure 8 ‑ 11 . From top left to bottom right: Catch (1000 tonnes), recruitment estimate (in millions) for 2year olds, harvest rate and Spawning stock biomass (SSB) and total stock biomass (TSB) for Greenland halibut as estimated by the GADGET model.

 

 

Figure 8 ‑ 12 . Retrospective analysis using model biomass for each sub-stock and total biomass. Colours are scaled to the number of years removed.
Figure 8 ‑ 12 . Retrospective analysis using model biomass for each sub-stock and total biomass. Colours are scaled to the number of years removed.

 

 

Figure 8 ‑ 13 . Jitter results for the model. Negative log-likelihood scores of jitter runs are shown on the left together with standard deviation and CV (in percentage). Total biomass, harvest rate and recruitment are on top of each other on the right. Colour indicates the run number and is standardized across all panels.
Figure 8 ‑ 13 . Jitter results for the model. Negative log-likelihood scores of jitter runs are shown on the left together with standard deviation and CV (in percentage). Total biomass, harvest rate and recruitment are on top of each other on the right. Colour indicates the run number and is standardized across all panels.

 

 

Figure 8‑14. Internal harvest rates of short-term projection scenarios. Harvest rates are influenced by Bpa.
Figure 8‑14. Internal harvest rates of short-term projection scenarios. Harvest rates are influenced by Bpa.

 

 

Figure 8 ‑ 15 . Female spawning stock biomass (SSB) of short-term projection scenarios.
Figure 8 ‑ 15 . Female spawning stock biomass (SSB) of short-term projection scenarios.

 

8.8 References

Albert, O.T., Kvalsund, M., Vollen, T. and Salberg, A.B., 2009. Towards Accurate Age Determination of Greenland Halibut. Journal of Northwest Atlantic Fishery Science, 40, 81-95.

Albert, O.T. and Vollen, T., 2015. A major nursery area around the Svalbard archipelago provides recruits for the stocks in both Greenland halibut management areas in the Northeast Atlantic. ICES Journal of Marine Science: Journal du Conseil, 72(3): 872-879.

Bakanev, S. 2013. Assessment of the Barents Sea Greenland halibut stock using the stochastic version of the production model. WD14, Report of the Benchmark Workshop on Greenland Halibut Stocks (WKBUT), 26–29 November 2013, Copenhagen, Denmark. ICES CM 2013/ ACOM:44 367 pp.

Bulatov, O.A., Russkikh, A. A., Mikhaylov, A.I., Vasilyev, D. A, 2023. The estimation of reference points of Greenland halibut stock in the Barents Sea based on production and cohort models. WD, JNR-AFWG 2023

ICES. 2011. Report of the Workshop on Age Reading of Greenland Halibut (WKARGH), 14-17 February 2011, Vigo, Spain. ICES CM 2011/ACOM:41. 39 pp.

ICES 2013. Report of the Benchmark Workshop on Greenland Halibut Stocks (WKBUT), 26-29 November 2013, Copenhagen, Denmark. ICES CM 2013/ACOM:44

ICES 2014. Report of the Data Compilation Workshop on Northeast Arctic Greenland Halibut and Assessment Methods (DCWKNGHD), 10–12 November 2014, Murmansk, Russia. ICES CM 2014/ACOM:65.58pp.

ICES 2015. Report of the Inter Benchmark Process on Greenland Halibut in ICES areas I and II (IBPHALI). By Correspondence, August 2015. ICES CM 2015/ACOM:54, 41 pp

ICES 2016. Report of the Workshop on age reading of Greenland halibut 2 (WKARGH2), 22-26 August, Reykjavik, Iceland. ICES CM 2016/SSGIEOM:16. 36 pp.

ICES. 2021. Advice on fishing opportunities. In Report of the ICES Advisory Committee. 2021.

ICES Advice 2021. section 1.1.1. https://doi.org/10.17895/ices.advice.7720 .

ICES. 2023. Benchmark workshop on Greenland halibut and redfish stocks (WKBNORTH). ICES Scientific Reports. 5:33. 408 pp. https://doi.org/10.17895/ices.pub.22304638

IMR-PINRO, 2024. Protocol of the annual meeting between Russian and Norwegian scientists, 12-14 March 2024. Teams

M. Lindegren, M. Thorlacius, J. T. Thorson, B. Þ. Elvarsson, D. Gonzalez-Troncoso, H. P. Benoît, et al. ICES Journal of Marine Science 2025 Vol. 82 Issue 5. DOI: 10.1093/icesjms/fsaf068

Lentin J., Elvarsson B.Þ., and Butler W. 2022. gadget3: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3. https://gadget-framework.github.io/gadget3/, https://github.com/gadget-framework/gadget3/.

Mikhaylov, A. 2016. Long-term HCR-parameters estimation for Greenland halibut based on production model. Working paper, no 14. in: Report of the Arctic Fisheries Working Group (AFWG), Dates 19-25 April 2016, ICES HQ, Copenhagen, Denmark. ICES CM 2016/ACOM:06. 621 pp.

Nedreaas, K. 2014. Review of historic commercial catch-per-unit-of-effort (cpue) series previously used in stock evaluation of Greenland halibut ( Reinhardtius hippoglossoides ) in ICES Subareas I and II. Are such cpue series appropriate to use in future Greenland halibut stock assessments? Working document, no 2. in: Report of the Data Compilation Workshop on Northeast Arctic Greenland Halibut and Assessment Methods (DCWKNGHD), 10–12 November 2014, Murmansk, Russia. ICES CM 2014/ACOM:65. 56 pp.

Russkikh A.A., Kovalev Yu A., Tchetyrkin A.A. Revision of Russian survey indices used for Greenland halibut stock assessment. WD12, AFWG 2021

Úbeda, J., Nogueira, A., Tolimieri, N., Vihtakari, M., Elvarsson, B., Treble, M., and Boje, J. 2023. Using multivariate autoregressive state‐space models to examine stock structure of Greenland halibut in the North Atlantic. Fisheries Management and Ecology: doi/10.1111/fme.12639.  

Vihtakari, M., Elvarsson, B. Þ., Treble, M., Nogueira, A., Hedges, K., Hussey, N. E., Wheeland, L., et al. 2022. Migration patterns of Greenland halibut in the North Atlantic revealed by a compiled mark–recapture dataset. ICES Journal of Marine Science, 79: 1902–1917.   

Vihtakari, M., Butler, W., Howell, D., Hallfredsson, E.H., Windsland, K.,Elvarsson, B., 2023. Assessment model for the Northeast Atlantic Greenland halibut stock (ghl.27.1-2). WD 17, ICES WKBNORTH.

Westgaard, J.-I., Saha, A., Kent, M.P., Hansen, H.H., Knutsen, H., Hauser, L., Cadrin, S.X., Albert, O.T. and Johansen, T., 2016. Genetic population structure in Greenland halibut ( Reinhardtius hippoglossoides ) and its relevance to fishery management. Canadian Journal of Fisheries and Aquatic Sciences, 74:475-485.

Windsland, K., Vihtakari, M., Hallfredsson, E. H., Howell, D. 2023. Data revision for the Northeast Atlantic Greenland halibut stock (ghl.27.1-2). WD2, ICES WKBNORTH 2023

1 The onshore and the at-sea sampling programs coordinated by the IEO were suspended in most of 2020, due notably to administrative problems and to a lesser extend to COVID-19. This affected all stocks. Both sampling programmes are hired by IEO through call for tenders addressed to specialized companies. The public tender launched in 2019 (to start in 2020) was declared void, having to be re-launched again. This second launch was delayed as a result of the paralysis of public activity during the state of alarm due to the COVID-19 pandemic and could only be reopened in June-July. Given that the process of awarding the contract by public tender takes three-four months under normal conditions, it was finally resolved in December 2020 and signed in January 2021. Since then, all activities have been resumed. The sampling to obtain the biological variables of the population (mainly reproduction and growth) is normally carried out in the IEO laboratories. This activity has also faced problems in 2020. On the one hand the administrative and financial difficulties of the IEO prevented the purchasing of samples in the market and on the other hand the three months closure of the labs (15 March to 21 June) due to COVID-19 did not allow for a normal activity.

2 Greenland halibut (Reinhardtius hippoglossoides) in subareas 1 and 2 (Northeast Arctic); ghl.27.1-2.