Go to main content

Survey report from the joint Norwegian/Russian Ecosystem Survey in the Barents Sea and the adjacent waters August-December 2022

Author(s): Geir Odd Johansen (IMR), Dmitry Prozorkevich (VNIRO-PINRO), Alexander Trofimov (VNIRO-PINRO), Randi Ingvaldsen (IMR), Tatiana Prokhorova (VNIRO-PINRO), Bjørn Einar Grøsvik (IMR), Pavel Krivosheya (VNIRO-PINRO), Espen Bagøien , Sarah Joanne Lerch (IMR), Irina Prokopchuk (VNIRO-PINRO), Elena Eriksen , Berengere Husson , Georg Skaret , Edda Johannesen , Bjarte Bogstad , Kristin Windsland , Hannes Höffle , Rupert Wienerroither , Carsten Hvingel (IMR), Andrey Dolgov (VNIRO-PINRO), Ann Merete Hjelset (IMR), Sergey Bakanev (VNIRO-PINRO), Aleksei Stesko (VNIRO-PINRO), Lis lindal Jørgensen , Nils Øien , Frederike Boehm (IMR), Natalia Strelkova (VNIRO-PINRO), Daria Blinova (VNIRO-PINRO), Roman Klepikovskiy (VNIRO-PINRO) and Per Fauchald (NIVA)
Editor(s): Gro van der Meeren (IMR) and Dmitry Prozorkevich (VNIRO-PINRO)

Summary

The aim of the joint Norwegian/Russian ecosystem survey in the Barents Sea and adjacent waters, August-October (BESS) is to monitor the status and changes in the Barents Sea ecosystem and provide data to support stock advice and research. The survey has since 2004 been conducted annually in the autumn, as a collaboration between the Institute of Marine Research (IMR) in Norway and the Polar branch of the VNIRO (PINRO) in Russia. The general survey plan and tasks were agreed upon at the annual IMR-PINRO Meeting in March 2022. Ship routes and other technical details are agreed on by correspondence between the survey coordinators. BESS aims at covering the entire Barents Sea. Ecosystem stations are distributed in a 35×35 nautical mile regular grid, and the ship tracks follow this design. Exceptions are the area around Svalbard (Spitsbergen), some additional bottom trawl hauls for demersal fish survey indices estimation, and additional acoustic transects for the capelin stock size estimation.
Survey start for the Russian vessel was significantly delayed, resulting in REEZ being covered two-three months later than NEEZ. This resulted in reduced area coverage, decrease in the numbers of trawl hauls, and lack of standard pelagic trawl sampling. In NEEZ, RV “Kronprins Haakon” was cancelled due to difficult economic situation, making it necessary to allocate one of the two remaining vessels to the area west and north of Svalbard (Spitsbergen). This resulted in low coverage in this area, and problems with synoptic coverage in north-east of Svalbard (Spitsbergen) and thus increased uncertainty in assessment of demersal fish (e.g. Greenland halibut) and capelin.

The 19-th joint Barents Sea autumn Ecosystem Survey (BESS) was carried out in two periods. The Norwegian research vessels “G.O. Sars” and “Johan Hjort” covered NEEZ in the period 16-th August to 03-th October, providing data to stock assessment, 0-group fish abundance indices, and state and changes descriptions which is comparable with earlier survey years in NEEZ. The Russian research vessel “Vilnyus” covered REEZ in the periods 20-th to 30-th September and 22-th October to 3-rd December. Survey coordinators in 2022 were Dmitry Prozorkevich (PINRO) and Geir Odd Johansen (IMR). Exchange of Russian and Norwegian experts between each country’s respective vessels did not take place in 2022. We would like to express our sincere gratitude to all the crew and scientific personnel onboard RVs “Vilnyus”, “G.O. Sars” and “Johan Hjort” for their dedicated work, as well as all the people involved in planning and reporting of BESS 2022. This report is a summary of observations and status assessment based on the survey data. Even though the survey was not well completed, the data obtained are the main source of knowledge about the ecosystem of the Barents Sea

1 - BACKGROUND

The aim of the joint Norwegian/Russian ecosystem survey in the Barents Sea and adjacent waters, August-October (BESS) is to monitor the status and changes in the Barents Sea ecosystem and provide data to support stock advice and research. The survey has since 2004 been conducted annually in the autumn, as a collaboration between the IMR in Norway and the Polar Branch of VNIRO (PINRO) in Russia. The general survey plan and tasks are usually agreed at the annual PINRO-IMR Meeting in March, but in 2022, due to external factors making physical meetings between Norwegian and Russian researchers difficult, it was agreed by correspondence. Ship routes and other technical details was agreed on by correspondence between the survey coordinators. Survey coordinators in 2022 was Dmitry Prozorkevich (PINRO) and Geir Odd Johansen (IMR). Exchange of Russian and Norwegian experts between each country’s respective vessels did not take place in 2022.

The 19-th joint Barents Sea autumn Ecosystem Survey (BESS) was carried out in two periods. The Norwegian research vessels “G.O. Sars” and “Johan Hjort” covered NEEZ in the period 16-th August to 03-th October. The Russian research vessel “Vilnyus” covered REEZ in the periods 20-th to 30-th September and 22-th October to 3-rd December.

The scientists and technicians taking part in the survey onboard the research vessels are listed in Table 1 below.

BESS 2022 was conducted during challenging times for joint survey activity and subsequent reporting of the results. Although the survey in 2022 was unsuccessful with respect to coverage in space and time, it was decided to join all the data and present them in this Joint Report for the sake of continuity, history, and to secure scientific knowledge. We would like to express our sincere gratitude to all the crew and scientific personnel onboard RVs “Vilnyus”, “G.O. Sars”, and “Johan Hjort” for their dedicated work, as well as all the people involved in planning and reporting of BESS 2022. This report is a summary of the observations and status assessments based on the survey data. The data obtained in the survey are the main source of knowledge about the ecosystem of the Barents Sea.
 


Table 1. Vessels and participants (with main expertise) in the Barents Sea Ecosystem Survey 2022.
Research vessel Participants
”Vilnyus”  (20-30.09, 22.10-03.12)
  Pavel Krivosheya (Cruise leader, pelagic fish), Alexey Amelkin (demersal fish), Natalia Pankova (pelagic fish), Yury Kalashnikov (pelagic fish), Maxim Rybakov (demersal fish), Serafim Bryzgalov (demersal fish), Michael Nosov (instrumentation),  Sergey Harlin (Instrumentation), Maksim Gubanishchev (hydrologist), Alexey Kanishchev (hydrologist), Roman Klepikovsky (sea birds and mammals), Marina Kalashnikova (parasitologist) (20-30.09.2022), Alexander Benzik (plankton, benthos), Alexandra Kudryashova (benthos).
”G.O. Sars” Part 1 (16.08-30.08)
  Irene Huse (Cruise leader), Penny Lee Liebig (benthos), Amalie Valde Berge (demersal fish), Hege Haraldsen (demersal fish), Lea Marie Hellenbrecht (pelagic fish), Frøydis Tousgaard Rist (pelagic fish), Jon Rønning (plankton), Anne Kari Sveistrup (benthos), Celina Eriksson Bjånes (demersal fish), Erlend Langhelle (demersal fish), Thomas André Sivertsen (sea mammals), Lars Kleivane (sea mammals), Jörn Patrick Meyer (instrumentation), Egil Frøyen (instrumentation), Monica Martinussen (plankton), Gary Elton (sea birds), Njord Svendsen (Crono - journalist).
 ”G.O. Sars” Part 2 (30.08-13.9)
  Harald Gjøsæter (Cruise leader), Penny Lee Liebig (benthos), Anne Kari Sveistrup benthos), Celina Eriksson Bjånes (demersal fish), Erlend Langhelle (demersal fish), Thomas André Sivertsen (sea mammals), Lars Kleivane (sea mammals), Jörn Patrick Meyer (instrumentation), Egil Frøyen (instrumentation), Monica Martinussen (plankton), Irene Huse (demersal fish), Eirik Odland (demersal fish), Stine Karlson (pelagic fish), Justine Diaz (pelagic fish), Hege Skaar (plankton), Gary Elton (sea birds).
”Johan Hjort” Part 1 (18.08-12.09)
  Tore Johannessen (Cruise leader), Mette Strand (benthos), Grethe Thorsheim (demersal fish), Sigmund Grønnevik (demersal fish), Runar Smestad (demersal fish), Anne Sæverud (demersal fish), Jan Frode Wilhelmsen (instrumentation), Hege Rognaldsen (instrumentation), Jessica Anne Hough (pelagic fish), Erling Boge (pelagic fish), Eli Gustad (plankton), Gaston Ezequiel Aguirre (plankton), Guri Nesje (chemical contaminants), Sonnich Meier (chemical contaminants), Andrey Voronkov (benthos), Yasmin Hunt (sea mammals), George McCallum (sea mammals), Jon Ford (sea birds).
 ”Johan Hjort” Part 2 (12.09-06.10)
  Georg Skaret (Cruise leader), Andrey Voronkov (benthos), Yasmin Hunt (sea mammals), George McCallum (sea mammals), Felicia Keulder-Stenevik (benthos), Hildegunn Mjanger (demersal fish), Vidar Fauskanger (demersal fish), Amalie Valde Berge (demersal fish), John Nesheim (instrumentation), Magnar Mjanger (instrumentation), Eilert Hermansen (pelagic fish), Timo Meissner (pelagic fish), Tommy Gorm-Hansen Tøsdal (pelagic fish), Terje Berge (plankton), Jane Strømstad Møgster (plankton), Jon Ford (sea birds), Sonnich Meier (chemical contaminants).

2 - SURVEY EXECUTION 2022

BESS aims at covering the entire the Barents Sea progressing from south to north. Ecosystem stations are distributed in a 35×35 nautical mile regular grid, and the ship tracks follow this design. Exceptions are the area around Svalbard (Spitsbergen), where the tracks follow a zig-zag design with additional depth stratified bottom trawl hauls for demersal fish survey indices estimation along the tracks. There are also additional acoustic transects for the capelin stock size estimation east of Svalbard (Spitsbergen).

The planned vessel tracks for BESS 2022 are given in figure 2.1, but the survey was not executed according to this plan. The Russian RV “Vilnyus” covered the eastern and south-eastern of the Barents Sea within the REEZ and Loophole (bottom trawls) but missed coverage in parts of the central REEZ and in the north. Norwegian RVs covered the western part of the Barents Sea and an area around Svalbard (Spitsbergen) within the NEEZ, but the planned vessel RV “Kronprins Haakon” did not take part in the survey due to a difficult economic situation. As a result of this, RV “G.O. Sars” had to cover the southern and south-eastern part of NEEZ, and additionally the area west and north of Svalbard (Spitsbergen) to compensate for the absence of RV “Kronprins Haakon”. RV “Johan Hjort” covered the central-western part of this area and the Loophole (pelagic trawls), as well as the capelin area east of Svalbard. In addition to standard sampling at BESS, the standard oceanography sections “Vardø Nord extended” and the “Hinlopen”, were sampled in the Norwegian survey area, and the standard sections “Kola” and “Kanin” in the Russian survey area (Fig. 2.3). The realized research vessel tracks with sampling for the BESS 2022 are shown in Figure 2.2 and 2.3. Summarized, the exceptions to the planned spatial coverage were lack of coverage in the north-eastern part of the Barents Sea, thin coverage around of Svalbard (Spitsbergen), and in a central part of REEZ.

The planned time schedule for BESS 2022 was 152 consecutive days, resulting in 134 planned effective vessel days (time between first and last sample in the vessel logs). The difference between these two is as expected, as the vessels need time to prepare before sampling (e.g. testing of sampling gear and calibration), crew and personnel changes, and sail back and forth between survey area and ports related to these changes and at the end of the survey. BESS 2022 was not conducted according to the planned time schedule. Cancellation of R/V Kronprins Haakon after the cruise had started, reduced the planned effective days further to 121. Further, due to external factors, Russian vessel “Vilnius” had not received the ordered engine parts in time, resulting in delayed start of the survey part in REEZ. In addition, for various unfortunate reasons, the ship vessel to return to port several times. In total, this caused late and reduced area coverage, cancelled standard pelagic sampling in the eastern Barents Sea, and decreased number of trawl hauls in northwestern Barents Sea.

The total progression of the survey in time and space in 2022 can be characterized as being of low quality (Figure 2.4).

The consequences of the insufficient coverage in space and time of BESS 2022 is that the main ecosystem components were not well monitored. Data to stock assessment, 0-group fish abundance indices, and state and change descriptions is comparable with earlier survey years in NEEZ only. This has severe consequences for the data quality related to several ecosystem components, including assessment of several commercial species, and conclusions made based on these data must be viewed as highly uncertain.

 

Ch 2.1 BESS planned tracks
Figure 2.1. BESS 2022, planned survey map with ecosystem stations and vessel tracks.
 

 

Ch 2.2 Realized vessel tracks pelagic and benthic trawl 2022
Figure 2.2. BESS 2022 Realized vessel tracks with pelagic and bottom trawl sampling stations, note that some     trawl stations are taken in addition to the regular ecosystem stations.

 

Ch 2.3 realized vessel tracks hydrography and plankton 2022
Figure 2.3. BESS 2022, realized vessel tracks with hydrography and plankton samples at ecosystem stations.

 

Ch 2.4 BESS 2022 progression
Figure 2.4. Progression of BESS 2022 in space and time. Points represent samples taken at ecosystem stations during the survey. The colour of the points represents days after 1-st August 2022 in the period of the survey, 16-th August to 1-rst December. The colours scale from red (early in the survey) to blue (late in the survey).

2.1  Sampling methods

Some adjustments of sampling gear were done in 2022 compared to 2021. At Norwegian vessels, the rigging of the 0- group trawl (Harstad trawl) was changed by using new lining. Special net for juvenile shrimp were taken out as standard at bottom trawl hauls. Manta trawl was included as standard equipment for monitoring microplastic at BESS from 2021 and microplastic samples were also collected in 2022. A new length stratified individual sampling of haddock was tested out in 2022 measuring. Monitoring of phytoplankton with algae nets and CTD water samples was removed from the sampling plan at regular stations in 2022 and will in the future only be taken at the hydrographic standard sections Vardø Nord extended and Hinlopen. Some minor changes in the sampling procedures for snow crab was also introduced.

The survey sampling manuals can be obtained by contacting the survey coordinators. These manuals include methodological and technical descriptions of equipment, the trawling and capture procedures by the sampling tools, sampling and registration of the catch in the lab, and the methods that are used for calculating the abundance and biomass of the biota.

2.2  Special investigations

BESS is a useful platform for conducting additional studies in the Barents Sea. These studies can be testing of new methodology, sampling of data additional to the standard monitoring, or sampling of other types of data. It is imperative that the special investigations do not influence the standard monitoring activities at the survey. The special investigations vary from year to year, and below is a list of special investigation conducted on Russian Norwegian vessels at BESS 2022, with contact persons.

2.2.1 Annual monitoring of pollution levels

In 2022 PINRO continued the annual monitoring of pollution levels in the Barents Sea in accordance with a national program. Samples of seawater, sediments, fish and invertebrates was collected and analysed for persistent organic pollutants (POPs) (e.g. PCBs, DDTs, HCHs, HCB) and heavy metals (e.g. lead, cadmium, mercury) and arsenic. The samples were collected at RV "Vilnyus" during BESS in the southern and eastern parts of the Barents Sea. The results from chemical analyses will be reported in 2023.

Contact: Mikhail Novikov, PINRO (mnovik@pinro.ru)

2.2.2  Collection of samples for biochemical studies

Frozen samples of commercial and non-commercial fish and invertebrates were collected for biochemical studies (ratio of body parts, chemical composition of nutrients, molecular weight of muscle proteins, amino acids and lipid fractions composition) in accordance with a research program. Samples were frozen at a temperature not higher than minus 18° C immediately after catching before rigor mortis.

Contact: Kira Rysakova, PINRO (rysakova@pinro.ru)

2.2.3  Fish pathology research

PINRO undertakes yearly investigations of fish and crabs diseases and parasites in the Barents Sea (mainly in REEZ). This investigation was started by PINRO in 1999. The main purpose of the pathology research is annual estimation of epizootic state of commercial fish and crabs species. The observations are entered into a database on pathology named “Pathology of fish in the seas of the Arctic ocean and the North-East Atlantic”.

 Contact: Tatyana Karaseva, PINRO (karaseva@pinro.ru)

Link to more information: 

https://www.amazon.com/Barents-Sea-Ecosystem-Management-Cooperation/dp/8251925452 (pp. 743-749)

2.2.4  Parasitological study

The purpose of this study is to monitor the infestation of commercial fish species in the Barents Sea with helminths that are hazardous to human health. 200 specimens of six fish species were studied in order to identify of such helminths. Statistical processing of parasitological data consisted in determination of three indicators of the degree of parasite infestation: prevalence – the proportion (%) of fish infested with a parasite of this species of the number of examined fish; abundance – the number of parasites of this species per one examined fish; confidence interval (CI) – the interval that covers the parameter of the prevalence with a designated confidence level. Helminths of two species that are hazardous to human health have been identified (larvae of nematodes Anisakis simplex and Pseudoterranova spp.). The first of them are mostly found in cod, haddock and long rough dab. Capelin and Arctic cod are infested with them to a lesser extent (Tables 2.2.4.1; 2.2.4.2).

 

Table 2.2.4.1.  Indicators of the total infestation of fish with larvae of the nematode Anisakis simplex.

Fish species

Number of examined fish,

specimens

Average length

(min-max), cm

Infestation rates

Prevalence (CI), %

Abundance,

specimens

Cod 25 47.1 (27.0-72.0) 92.0 (78.1-99.2) 11,2
Haddock 25 34.8  (21.0-51.0) 96.0 (84.7-100) 25,7
European plaice 25 39.3 (33.0-54.0) 12.0 (2.3-27.7) 0,1
Long rough dab 25 31.0 (21.0-43.0) 76.0 (57.3-90.6) 6,2
Capelin 25 15.7 (13.5-18.0) 40.0 (27.7-59.9) 0,4
Arctic cod 75 18.0 (11.0-27.5) 52.0 (40.5-63.4) 0,9

 

 

Table 2.2.4.2.  Indicators of the total infestation of fish with larvae of the nematode Pseudoterranova spp.

Fish species

Number of examined fish,

specimens

Average length

(min-max), cm

Infestation rates

Prevalence (CI), %

Abundance,

specimens

Long rough dab 25 31.0 (21.0-43.0) 4.0 (0.0-15.3) 0,04

 

The obtained data indicate a consistent high level of invasion of most bottom fish species with the nematode A. simplex.

Contact: Yuri Bakay, PINRO (bakay@pinro.ru)

3 - DATA MANAGEMENT

3.1  Databases

A wide variety of data are collected during the ecosystem surveys. All data collected during the BESS are quality controlled and verified by experts from IMR and PINRO during the survey. The data are stored in IMR and PINRO national databases, with different formats. However, the data are exchanged so that both institutions have access to each other’s data in their respective databases (i.e. both institutes use equal joint data).

 

3.2  Data application

The main aim of the BESS is to cover the whole Barents Sea ecosystem geographically and provide survey data for commercial fish and shellfish stock estimation. Stock estimation is particularly important for capelin, because capelin TAC is based on the survey result, and the Norwegian-Russian Fishery Commission determines TAC immediately after the survey. In addition, a broad spectrum of physical variables, ecosystem components and pollution are monitored and reported.

The survey data will be used by Norway and Russia for the implementation the joint or national projects. In addition, each of the side uses the survey data for participate in their international projects.

This survey report is based on joint data and contains the main results of the monitoring. The survey report is published as part of the IMR/PINRO Joint Report series and assembled into a complete pdf-report when the main components are completed. Some post-survey information not included in the written report (e.g. plankton and fish stomach samples which need longer processing time) will be published as individual parts of the report later. All reports from BESS from 2004 until the latest are available at this web site: https://imr.brage.unit.no/imr-xmlui/handle/11250/2658167. This report is published in the IMR digital report series IMR-PINRO.

 

3.3  Time series of distribution maps

The redesigned IMR web site for the joint Norwegian/Russian Barents Sea Ecosystem Surveys is still not finished. The maps from this report series are to be made public in this map site when ready.

4 - MARINE ENVIRONMENT

4.1 Hydrography 

Text by: Alexander Trofimov and Randi Ingvaldsen

Figures by: A. Trofimov

4.1.1  Geographic variation

Horizontal distributions of temperature and salinity are shown for depths of 0, 50, 100 m and near the bottom in Figs 4.1.1.1–4.1.1.8, and anomalies of temperature and salinity at the surface and near the bottom are presented in Figs 4.1.1.9–4.1.1.12. The anomalies have been calculated using the long-term means for the period 1981–2010.

In autumn 2022, surface temperature was on average 1.5°C higher than the long-term mean all over the surveyed area (Fig. 4.1.1.9). Compared to 2021, the surface temperature in 2022 was much higher (by 1.2°C on average) almost all over the surveyed area (94%), with the largest positive differences (>2°C) in the western Barents Sea.

Arctic waters were mainly found, as usual, in the 50–100 m layer north of 77°N (Fig. 4.1.1.3 and 4.1.1.5). Temperatures at depths of 50 and 100 m were higher than the long-term means (on average, by 1.0 and 0.7°C respectively) in most of the surveyed area (89 and 84%), with the largest positive anomalies at 50 m depth in the southeast. Negative anomalies (about −0.3°C on average) were mostly found at 100 m depth in the northern Barents Sea. Compared to 2021, the 50 and 100 m temperatures in 2022 were higher (on average, by 0.6 and 0.5°C respectively) in two thirds of the surveyed area. Negative differences were observed in some separate areas of the Barents Sea. Small differences (both negative and positive, <0.5°C in magnitude) prevailed at 100 m depth.

Bottom temperature was in general 0.7°C above average in most of the surveyed area (83%), with the largest positive anomalies in the southeastern Barents Sea (Fig. 4.1.1.10). Negative anomalies were mainly found in the northernmost part of the sea, between the Spitsbergen and Franz Josef Land archipelagoes. In bottom waters, small temperature differences between 2022 and 2021 (both negative and positive, <0.5°C in magnitude) prevailed (~70% of the surveyed area). In autumn 2022, the area covered by bottom water with temperatures below zero was 37% in the Barents Sea (71–79°N 25–55°E) being close to those in the previous two years.

Surface salinity was on average 0.4 higher than the long-term mean in half of the surveyed area, namely in the northern, easternmost and southwesternmost Barents Sea, with the largest positive anomalies (>0.8) in the north (Fig. 4.1.1.11). Negative anomalies (–0.1 on average) were mainly observed in the southern part of the sea. In autumn 2022, surface waters were on average 0.2 fresher than in 2021 in 62% of the surveyed area; they were saltier (on average, by 0.3) in the northern and southwesternmost Barents Sea as well as in a small area west and north of Kolguev Island.

Salinity at 50 m depth was lower than average (by 0.1 on average) in most of the surveyed area (60%), with the largest negative anomalies in coastal waters in the southwestern Barents Sea. Positive anomalies were mainly observed in the northern (especially east of the Spitsbergen Archipelago) and southeasternmost parts of the sea. In autumn 2022, waters at 50 m were saltier (by 0.1 on average) than in 2021 in half of the surveyed area, with the largest positive differences over the Spitsbergen Bank and west and northwest of Kolguev Island. Significant negative differences (>0.1 in magnitude) in 50 m salinity between 2022 and 2021 were mainly observed in the south and east. At a depth of 50 m, both positive and negative anomalies and differences were larger than at 100 m. At a depth of 100 m, salinity anomalies and differences of <0.1 in magnitude occupied about 90% of the surveyed area.

Bottom salinity was slightly lower than average almost all over the surveyed area (80%), with the largest negative anomalies (>0.1 in magnitude) in some small areas in the southern Barents Sea (Fig. 4.1.1.12). Positive anomalies were mainly found south of the Spitsbergen Archipelago and west of Kolguev Island. In autumn 2022, bottom waters were a bit saltier than in 2021 in two thirds of the surveyed area, with the largest positive differences (>0.1) over the Spitsbergen Bank and west and north of Kolguev Island. As a whole, bottom salinity anomalies and differences were small (<0.1 in magnitude) almost all over the surveyed area (85 and 88% respectively).

Fig 4.1.1.1 Surface temperature 2022
Figure 4.1.1.1. Distribution of surface temperature (°C), August–November 2022. The thick black line is a line of discontinuity in the survey data.

 

Figure 4.1.1.2. Surface salinity 2022
Figure 4.1.1.2. Distribution of surface salinity, August–November 2022. The thick black line is a line of discontinuity in the survey data.

Fig.1.1.3. Distribution of temperature 50 m 2022
Figure 4.1.1.3. Distribution of temperature (°C) at the 50 m depth, August–November 2022. The thick black line is a line of discontinuity in the survey data.

 

Fig. 4.1.1.4. Distribution of salinity 50 m 2022
Figure 4.1.1.4. Distribution of salinity at the 50 m depth, August–November 2022. The thick black line is a line of discontinuity in the survey data.

Fig. 4.1.1.5 Distribution of temperature 100 m
Figure 4.1.1.5. Distribution of temperature (°C) at the 100 m depth, August–November 2022. The thick black line is a line of discontinuity in the survey data.

 

Fig 4.1.1.6. Distribution of salinity 100 m 2022
Figure 4.1.1.6. Distribution of salinity at the 100 m depth, August–November 2022. The thick black line is a line of discontinuity in the survey data.

Fig 4.1.1.7. Distribution of temperature bottom 2022
Figure 4.1.1.7. Distribution of temperature (°C) at the bottom, August–November 2022. The thick black line is a line of discontinuity in the survey data.

 

Figure 4.1.1.8. Distribution of salinity bottom 2022
Figure 4.1.1.8. Distribution of salinity at the bottom, August–November 2022. The thick black line is a line of discontinuity in the survey data.

Fig 4.1.1.9. Surface temperature anomaly 2022
Figure 4.1.1.9. Surface temperature anomalies (°C), August–November 2022.
Fig. 4.1.1.10. Surface salinity anomalies
Figure 4.1.1.10. Bottom temperature anomalies (°C), August–November 2022.

 

Fig 4.1.1.11 Surface salinity anomalies 2022
Figure 4.1.1.11. Surface salinity anomalies, August–November 2022.

 

 

Fig 4.1.1.12. Salinity anomalies bottom 2022
Figure 4.1.1.12. Salinity anomalies at the bottom, August–November 2022.

4.1.2 Standard sections

Table 4.1.2.1 shows mean temperatures in the main parts of standard oceanographic sections of the Barents Sea, along with historical data back to 1965.

The Fugløya–Bear Island and Vardø–North Sections cover the inflow of Atlantic and Coastal water masses from the Norwegian Sea to the Barents Sea. The mean Atlantic Water (50–200 m) temperature in the inflow region to the Barents Sea, i.e., at the Fugløya–Bear Island Section, was 0.4°C higher than the long-term mean (1981–2010) and 0.3°C warmer than in 2021 (Table 4.1.2.1). The temperature in the Vardø–North Section was at the same level as in 2021 (Table 4.1.2.1).

The Kola Section covers the flow of coastal and Atlantic waters in the southern Barents Sea. In autumn 2022, the Kola Section was sampled in late October. Temperature anomalies (averaged over 50–200 m, relative to 1981–2010) were decreasing from +0.8°C in coastal waters in the inner part of the Kola Section to +0.7 and +0.4°C in Atlantic waters in the central and outer parts respectively, that was typical of warm years. The anomalies were also decreasing with depth: from +1.4 and +0.8°C (0–50 m) to +0.3°C (150–200 m) in the central and outer parts of the section. Compared to 2021, the upper 50 m layer along the Kola Section in October 2022 was 0.7–1.0°C warmer; the 50–200 m layer was 0.1–0.4°C warmer; and temperature in the 150–200 m layer was close to that in 2021.


Table 4.1.2.1. Mean water temperatures in the main parts of standard oceanographic sections in the Barents Sea and adjacent waters in August–September 1965–2022. The sections are: Kola (70º30′N – 72º30′N, 33º30′E), Kanin S (68º45′N – 70º05′N, 43º15′E), Kanin N (71º00′N – 72º00′N, 43º15′E), Vardø – North (VN, 72º15′N – 74º15′N, 31º13′E) and Fugløya – Bear Island (FBI, 71º30′N, 19º48′E – 73º30′N, 19º20′E).

Year

Section and layer (depth in metres)

Kola

Kola

Kola

Kanin S

Kanin N

VN

FBI

0–50

50–200

0–200

0–bot.

0–bot.

50–200

50–200

1965

1966

1967

1968

1969

1970

1971

1972

1973

1974

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

6.7

6.7

7.5

6.4

6.7

7.8

7.1

8.7

7.7

8.1

7.0

8.1

6.9

6.6

6.5

7.4

6.6

7.1

8.1

7.7

7.1

7.5

6.2

7.0

8.6

8.1

7.7

7.5

7.5

7.7

7.6

7.6

7.3

8.4

7.4

7.6

6.9

8.6

7.2

9.0

8.0

8.3

8.2

6.9

7.2

7.8

7.6

8.2

8.8

8.0

8.5

8.7

7.9

8.1

7.8

8.2

7.9

-

3.9

2.6

4.0

3.7

3.1

3.7

3.2

4.0

4.5

3.9

4.6

4.0

3.4

2.5

2.9

3.5

2.7

4.0

4.8

4.1

3.5

3.5

3.3

3.7

4.8

4.4

4.5

4.6

4.0

3.9

4.9

3.7

3.4

3.4

3.8

4.5

4.0

4.8

4.0

4.7

4.4

5.3

4.6

4.6

4.3

4.7

4.0

5.3

4.6

4.6

4.8

4.7

4.8

4.9

4.4

4.3

4.5

-

4.6

3.6

4.9

4.4

4.0

4.7

4.2

5.2

5.3

4.9

5.2

5.0

4.3

3.6

3.8

4.5

3.7

4.8

5.6

5.0

4.4

4.5

4.0

4.5

5.8

5.3

5.3

5.3

4.9

4.8

5.6

4.7

4.4

4.7

4.7

5.3

4.7

5.8

4.8

5.7

5.3

6.1

5.5

5.2

5.0

5.5

4.9

6.0

5.6

5.4

5.7

5.8

5.6

5.7

5.2

5.3

5.3

-

4.6

1.9

6.1

4.7

2.6

4.0

4.0

5.1

5.7

4.6

5.6

4.9

4.1

2.4

2.0

3.3

2.7

4.5

5.1

4.5

3.4

3.9

2.7

3.8

6.5

5.0

4.8

5.0

4.4

4.6

5.9

5.2

4.2

2.1

3.8

5.8

5.6

4.0

4.2

5.0

5.2

6.1

4.9

4.2

-

4.9

5.0

6.2

5.5

4.5

6.1

-

-

-

5.5

-

6.0

-

3.7

2.2

3.4

2.8

2.0

3.3

3.2

4.1

4.2

3.5

3.6

4.4

2.9

1.7

1.4

3.0

2.2

2.8

4.2

3.6

3.4

3.2

2.5

2.9

4.3

3.9

4.2

4.0

3.4

3.4

4.3

2.9

2.8

1.9

3.1

4.1

4.0

3.7

3.3

4.2

3.8

4.5

4.3

4.0

4.3

4.5

3.8

5.2

4.6

4.1

4.6

5.5

-

-

4.1

-

4.3

-

3.8

3.2

4.4

3.4

3.8

4.1

3.8

4.6

4.9

4.3

4.5

4.4

3.6

3.2

3.6

3.7

3.4

4.1

4.8

4.2

3.7

3.8

3.5

3.8

5.1

5.0

4.8

4.6

4.2

4.8

4.6

3.7

4.0

3.9

4.8

4.2

4.2

4.6

4.7

4.8

5.0

5.3

4.9

4.7

5.2

-

5.1

5.7

4.9

5.2

5.5

5.1

5.2

-

4.7

5.1

5.0

5.0

5.2

5.3

6.3

5.0

6.3

5.6

5.6

6.1

5.7

5.8

5.7

5.8

4.9

4.9

4.7

5.5

5.3

6.0

6.1

5.7

5.6

5.5

5.1

5.7

6.2

6.3

6.2

6.1

5.8

5.9

6.1

5.7

5.4

5.8

6.1

5.8

5.9

6.5

6.2

6.4

6.2

6.9

6.5

6.4

6.4

6.2

6.4

6.4

6.3

6.1

6.6

6.5

6.4

6.0

5.9

6.2

6.1

6.4

Average

1981–2010

7.6

4.2

5.0

4.6

3.6

4.4

6.0

 

 

4.2  Antropogenic pollution

4.2.1 Marine litter

Text by: T. Prokhorova, B. E. Grøsvik, P. Krivosheya

Figures by: P. Krivosheya

Anthropogenic litter floating at the surface was observed from the Norwegian vessels only. Plastics dominated among anthropogenic pollutants on the water surface (81.5 % of observations) (Fig. 4.2.1.1). The maximum surface observation of plastic litter was 12 m3, and it was a part of fishery trawl. The average surface observation of plastic was 0.005 m3 (except the single maximum catch of 12 m3). Due to currents, recorded debris could be dumped directly in some areas and transported from other areas. Wood was recorded in 18.5 % of the observations. The maximum surface observation of wood was 0.6 m3, while the average was 0.4 m3. Wood was presented by logs and pallets. Strictly, wood is not a pollution item, but we have presented wood in this report traditionally as litter.

Fishery related litter was recorded in 22.7 % of plastic litter observations at the surface (Fig. 4.2.1.2). Fishery related litter was represented by floats/buoys (OSPAR code 37) and pieces of net (OSPAR code 116). Fishery plastic both maximum and average observations (12 m3 and 0.01 m3 (except the single maximum catch of 12 m3) was larger than non-fishery plastic (0.03 m3 and 0.003 m3).

Ch 4.2.1.1. Type of observed athropogeniv litter in surace 2022
Figure 4.2.1.1. Type of observed anthropogenic litter (m3) at the surface in the BESS 2022.

 

Figure 4.2.1.2 LItter obsercvation of plastics at the BESS 2022.
Figure 4.2.1.2. Litter observations of plastic at the surface indicated as fishery related and other plastic litter in the BESS 2022.

 

Anthropogenic litter collected in bottom trawls in 2022 was observed onboard all Norwegian vessels and Russian vessel “Vilnyus”, in pelagic trawls – onboard the Norwegian vessels only.

Anthropogenic litter was observed in 17.6 % of pelagic trawl stations (Fig. 4.2.1.3). Only plastic was observed in pelagic trawls with anthropogenic litter in 2022. The minimum catch of plastic by pelagic trawl was 0.0004 kg per n.mile, the maximum catch was 0.04 kg per n.mile, with the average of 0.005 kg per n.mile. Considering the low catchability by pelagic trawl for low-density polymers, the total amount of this matter in the Barents Sea could be much higher.

Litter was observed in 34.9 % of the bottom trawl stations in 2022 (Fig. 4.2.1.4), and it is higher than in 2021 (28.1 % of the bottom trawl stations). The minimum catch of litter by bottom trawl was 0.00002 kg per n.mile. the maximum catch was 602.4 kg per n.mile, with the average of  0.360 kg per n.mile (except the single maximum catch of 500 kg).

Plastic dominated the litter content from the bottom trawls as usual (78.6 % of stations with observed litter). The catch of plastic litter in bottom trawls was from 0.00002 kg per n.mile to 26.5 kg per n.mile with average of 0.4 kg per n.mile. Wood, textile and metal were observed sporadically among the bottom trawl catches.

Litter from fishery was a significant part of plastic litter both in the pelagic and bottom trawls (46.2 % and 65.4 % respectively, Fig. 4.2.1.5).

Figure 4.2.1.3 Type of anthropogenic litter collected in the pelagic trawls (kg) in the BESS 2022 (crosses – pelagic trawl stations).
Figure 4.2.1.3.Type of anthropogenic litter collected in the pelagic trawls (kg) in the BESS 2022 (crosses – pelagic trawl stations).

 

 

Figure 4.2.1.4 Type of anthropogenic litter collected in the bottom trawls (kg) in the BESS 2022 (crosses – bottom trawl stations).
Figure 4.2.1.4. Type of anthropogenic litter collected in the bottom trawls (kg) in the BESS 2022 (crosses – bottom trawl stations).

 

 

 

Figure 4.2.1.5 Fishery plastic proportion among the plastic litter collected in the pelagic (the upper figure) and bottom trawls (the lower figure) in the BESS 2022 (crosses – trawl stations).

Figure 4.2.1.5 Fishery plastic proportion among the plastic litter collected in the pelagic (the upper figure) and bottom trawls (the lower figure) in the BESS 2022 (crosses – trawl stations).
Figure 4.2.1.5. Fishery plastic proportion among the plastic litter collected in the pelagic (the upper figure) and bottom trawls (the lower figure) in the BESS 2022 (crosses – trawl stations).

 

5 - PLANKTON COMMUNITY

5.1  Phytoplankton, chlorophyll a and nutrients

Text by: Sarah Joanne Lerch

Figures by: Sarah Joanne Lerch

Samples for phytoplankton community composition and abundance were collected from 27 preselected stations along fixed transects in the Barents Sea (Fig. 5.1.1).  Samples were collected from Hinlopen and Vardø-N Utvidet during the late summer ecosystem cruise (2022110, 202210), and Fugløya-Bjørnøya during a spring transect cruise (2022207). Phytoplankton samples were collected using two methods, the Algae-net and CTD. Qualitative Algae-net samples were collected using a vertical net tow (10 μm mesh; 0.1 m2 opening; 30-0 m), fixed with 2 ml 20% formalin and stored for future use. Samples for algal cell counts (100 ml) were taken from 10 m CTD collected water and fixed in Neutral Lugol. Microscope counts were performed following the Utermöhl (1958) method on all CTD samples to quantify community composition and abundance at the Flødevigen Plankton Laboratory.

Microscopy counts include heterotrophic and autotrophic groups, these communities will therefore be referred to as microplankton in the summarized results below. 

Nutrient and chlorophyll samples were collected from rosette-mounted water-bottles released at various depths at the CTD stations in the Norwegian sector of the Barents Sea. The nutrient samples (20 ml) were preserved with chloroform (200 ml), and thereafter kept at about 4°C until subsequent chemical analysis on shore at IMR. The chlorophyll-samples were collected by filtering 263 ml of seawater through glass-fibre filters, which were then frozen at about -18°C until subsequent extraction of pigments in acetone and thereafter fluorometric analysis in the IMR laboratory on shore. Data on nutrient levels (nitrate, nitrite, silicate and phosphate) are not presented in the cruise-report, but are available at IMR.

During the ecosystem cruise, the Barents Sea microplankton community at an average station was numerically dominated by small flagellates (71%, 4.1×105 ± 6.4×105 cells ml-1) with smaller contributions from cryptophytes (16%, 9.3×104 ± 7.3×104 cells ml-1), diatoms (5%, 2.6×104 ± 4.7×104 cells ml-1) and haptophytes (5%, 3.1×104 ± 5.2×104 cells ml-1) (Fig. 5.1.2). Small flagellates have consistently comprised at least 42% of the average microplankton community quantified during the ecosystem cruises since 2017. Microplankton community concentration overall has increased since 2020, small flagellates accounted for the majority of this (219% increase) but haptophytes (557%, increase), diatoms (139% increase), and cryptophytes (123% increase) contributed as well. Increasing cell concentrations correspond to increasing average surface chlorophyll concentrations during this period (Fig. 5.1.3). Changes in chlorophyll concentrations since 2020 are also part of a long-term trend of increasing chlorophyll which began in 2010. It should be noted that these patterns are not seen in all ICES sub-regions though, indicating spatial variations in chlorophyll concentrations within the sea.

Spatial and temporal variations were also seen within the 2022 microplankton community. During the ecosystem cruise, the taxa which contributed substantially to community composition (≥ 2%) differed in the most Northern ICES-sub regions (Svalbard N and Fanz Victoria Trough) relative to the southern ones (Great Bank, Hopen Deep, Thor Iverson Bank, South West) (Fig. 5.1.4). Diatoms were substantial contributors in both northern sub-regions and haptophytes in Svalbard North only. Latitudinal changes were also seen in the spring community observed on the Fugløya-Bjørnøya transect, with diatoms and haptophytes more abundant in northern ICES sub-regions. Similar communities, dominated by small flagellates and cryptophytes, were observed in the South West sub-region in both spring and late summer.

The average concentration of all microplankton in the late summer (5.65×105 ± 6.73×105 cells ml-1) was approximately one third of that measured in the spring (2.11×106 ± 1.84×106 cells ml-1). During the spring, southern stations were characterized by the highest cell abundance, which was mostly attributed to small flagellates (Fig. 5.1.5). In the late summer, cell concentrations were patchy with both the highest (3.12×106 cells ml-1) and the lowest (6.35×105 cells ml-1) concentrations found along the Vardø-N transect.

Within the microplankton these data describe only one purely photosynthetic group at a high taxonomic level, diatoms. During the ecosystem cruise, diatom abundance was greatest in the Hinlopen transect (2.0×104-1.44×105 cells ml-1) and most northern Vardø-N station (1.41×104 cells ml-1) (Fig. 5.1.6). These communities were comprised mainly of Pseudo-nitzschia and Leptocylindrus. During the spring, communities were dominated by Chaetoceros and the maximum diatom abundance (8.63×105 cells ml-1) was found in one of the northern Fugløya-Bjørnøya stations.

Stations with phytoplankton samples for microscopy, Norway 2022
Figure 5.1.1. Map showing stations where samples were collected and analyzed for phytoplankton community composition using microscopy. Outlined areas indicate ICES sub-regions, sampled sub-regions are labeled. Point shape indicates transect, circle: Fulgøya-Bjørnøya, diamond: Vardø-N Utvidet, triangle: Hinlopen. Colors indicate when samples were collected, green: during the 2022 ecosystem cruise, red: spring transect cruise (May-June). Sval-N: Svalbard North, Franz-Vic: Franz Victoria Trough, Sval-S: Svalbard South, Bear-Isl: Bear Island Trench, Thor-Iver: Thor Iversen Bank.

 

Phytoplankton community composition, time series Norway 2022
Figure 5.1.2. Timeseries of Barents Sea microplankton community composition showing the average concentration of cells within broad taxonomic groups during the ecosystem survey. Many groups contain heterotrophic and autotrophic (phytoplankton) members. Cell concentrations derived from light microscopy. All groups which comprised ≤ 1% of the community are summed for ease of visualization.
Ch 5.1.3 Surface chlorophyll a August to October 2022
Figure 5.1.3. Timeseries of Barents Sea surface chlorophyll a concentration measured during the time period of the Ecosystem cruise, August-October. Shading indicates standard deviation. A) Average chlorophyll concentrations across the entire Barents Sea. B) Average chlorophyll concentrations in the subset of ICES sub-regions with relatively consistent temporal sampling. ICES sub-regions are roughly colored and arranged by sub-region location with more northern regions in darker colors at the top and southern in lighter colors at the bottom.

 

Barplot phytoplankton microplankton community composition, Norway 2022
Figure 5.1.4. Bar plot showing the average microplankton community composition at sampled stations by ICES sub-region during the ecosystem and spring transect cruises. All groups which comprised ≤ 2% of the community at a given station are summed for ease of visualization. Sval-N: Svalbard North, Franz-Vic: Franz Victoria Trough, Sval-S: Svalbard South, Bear-Isl: Bear Island Trench, Thor-Iver: Thor Iversen Bank, SW: South West.

 

Phytoplankton community composition and abundance, Norway 2022
Figure 5.1.5. Maps showing plankton community composition and abundance at all sampled stations North of 75°N (left) and South of 75°N (right). Pie chart radii scale to average cell concentrations, scaling varies between panels to allow for visualization; maximum radii represent 8.9×105 cells ml-1 (N of 75°N) and 5.6×106 cells ml-1 (S of 75°N ). Divisions within pie charts show the contributions from broad taxonomic groups. All groups which comprised ≤ 1% of the community at a given station are summed for ease of visualization.
Ch 5.1.6 Diatom community composition and abundance
Figure 5.1.6. Maps showing diatom community composition and abundance at all sampled stations North of 75°N (left) and South of 75°N (right). Pie chart radii scale to average cell concentrations, scaling varies between panels to allow for visualization; maximum radii represent 1.44×105 cells ml-1 (N of 75°N) and 8.63×105 cells ml-1 (S of 75°N). Divisions within pie charts show the contributions from broad taxonomic groups. All groups which comprised ≤ 3% of the community at a given station are summed for ease of visualization. If pie charts were shifted for visualization, lines with points indicate original sampling location.

 


5.2  Mesozooplankton biomass and geographic distribution

Text by: Espen Bagøien and Irina Prokopchuk

Figure by: E. Bagøien

Mesozooplankton sampling stations during the joint Norwegian-Russian Barents Sea ecosystem cruise in 2022 are shown in Figure 5.2.1. In the Norwegian sector the WP2 net (opening area ~ 0.25 m2) was applied, while in the Russian sector the Juday net (opening area ~ 0.11 m2) was used. Both gears were rigged with nets of mesh-size 180 µm and hauled vertically from near the bottom to the surface. The WP2 and Juday nets provide roughly comparable results with respect to mesozooplankton biomass and species composition (Skjoldal et al., 2019). The Norwegian biomass samples are dried before weighing, while the Russian samples are preserved in 4% formalin and their wet-weight determined. Dry-weight is then estimated by dividing the wet-weight with a factor of 5.

The spatial distribution of total mesozooplankton biomass shown in Figure 5.2.1 is based on a total of 291 samples, of which 161 were located in the Norwegian sector and 130 in the Russian sector. Within the Norwegian sector, the average biomass was 6.9 (± 8.9 SD) g dry-weight m-2. The average zooplankton biomass for the samples within the Russian sector was 3.3 (± 3.0 SD) g dry-weight m-2. All stations shown in Figure. 5.2.1 are included in the 2022 biomass averages here presented.

The time of sampling in the Russian sector this year (26. Oct - 1. Dec, 2022) was unusually late in autumn, both compared to the Norwegian sector (17. Aug – 1. Oct, 2022), and the Russian sector in previous years. Hence, the biomass averages for Norwegian and Russian sectors in 2022 are not directly comparable. Likewise, the validity of comparing biomasses within the Russian sector in 2022 with earlier years becomes questionable. Figure 5.2.1 shows horizontally interpolated zooplankton biomasses for the Norwegian and Russian sectors in 2022, but to visualize the issue of differences in sampling time, we have added a line separating the Norwegian and Russian samples. For closely located Norwegian versus Russian stations separated by this line, the difference in sampling-time could vary between ca. 1.5 and 3 months, with the largest differences occurring in the southern area. We note that the lack of synoptic sampling in 2022 may very well be a confounding factor when evaluating zooplankton biomasses in different parts of the Barents Sea.     

Distribution of total zooplankton biomass from near-bottom 2022
Figure 5.2.1. Distribution of total zooplankton biomass (g dry-weight m-2) from near-bottom to surface in the Barents Sea during BESS 2022 - based on a total of 291 stations. The data visualized were collected by WP2 and Juday nets with mesh-size 180 mm. Interpolation was made in ArcGIS v.10.8, module Spatial Analyst, using inverse distance weighting (IDW). The black line in the figure separates Norwegian and Russian samples. Note that for closely located Norwegian versus Russian stations separated by this line, the difference in sampling-time could vary between ca. 1.5 and 3 months, with the largest differences occurring in the southern area.   

 

Comparison of average biomasses across years is also vulnerable to differing area coverages. Challenges in covering the same area over a series of years are inherent in such large-scale monitoring programs, and interannual variation in ice-cover and logistical issues are two of several reasons for this. To improve the regularity of the sampling grid across the survey area in 2022, most stations belonging to the Hinlopen-section north of Svalbard/Spitzbergen and the whole Vardø-North section were omitted when calculating average biomass (excluded from Fig. 5.2.1). Differences in spatial coverage among years, as well as spatial variability in station density within the survey region will impact biomass estimates, and particularly so in an environment characterized by large-scale patterns in biomass distribution. Such challenges fall outside the scope of this cruise-report, but are addressed in other phora, for instance by analysing time-series for spatially consistent sub-areas.

The overall distribution patterns show similarities across years, although some interannual variability is apparent. In 2022 we observed the familiar pattern of comparatively high biomasses in the southwestern region and north of Svalbard/Spitsbergen, as well as the deeper part of the southeastern region. The biomasses were relatively low in the central regions including the bank areas, and very low in the southeastern corner of the Barents Sea and near Novaja Zemlja (Fig. 5.2.1).

Several factors may impact the levels of zooplankton biomass in the Barents Sea;

  • Advective supply of zooplankton from the Norwegian Sea
  • Local zooplankton production rates –  linked to temperature, nutrient conditions and primary production rates
  • Predation from carnivorous zooplankters (jellyfish, krill, hyperiids, chaetognaths, etc.)
  • Predation from planktivorous fish incl. capelin, young herring, polar cod, juveniles of cod, saithe, haddock, redfish
  • Predation from marine mammals and seabirds

References

Skjoldal, H.R., Prokopchuk, I., Bagøien, E., Dalpadado, P., Nesterova, V., Rønning. J., Knutsen, T. 2019. Comparison of Juday and WP2 nets used in joint Norwegian-Russian monitoring of zooplankton in the Barents Sea. Journal of Plankton Research 41:759-769.

 

5.3  Macrozooplankton 

Macrozooplankton will be updated in the IMR-PINRO survey report from the 2023 BESS survey in 2024.

6 - FISH RECRUITEMENT (YOUNG OF THE YEAR)

Figures by: D. Prozorkevich

Area coverage and estimations

In 2022, coverage of the 0-group fish was limited to the western part of the Barents Sea due to technical challenges with Russian vessel (Fig. 6.1). Based on years of full coverage and the average long-term distribution in 2000-2017, we corrected the 2022 abundance indices for lacking coverage. We present species distribution maps for western polygons only.

Spatial coverage 0-group fish 2022
Figure 6.1. Map showing spatial coverage of the 0-group fish in the Barents Sea in 2022. Colored dots indicated vessel coverage, while grey lines 15 WGIBAR-subareas (regions) used in estimations.

Total biomass

Zero-group fish are important consumers of plankton and are prey for predators (larger fish, sea birds and marine mammals) and, therefore, are important for transfer of energy between trophic levels in the ecosystem. Estimated total biomass of 0-group fish species (cod, haddock, herring, capelin, polar cod, and redfish) varied from a low of  0.165 million tonnes in 2001 to a peak of 4.5 million tonnes in 2022 with a long-term average of 1.2 million tonnes (1993-2022) (Figure 6.2). In 2022, estimated total biomass of 0-group fish species was record high and was 4.5 million tonnes. In 2022, like in 2012-2013, 0-group fish biomasses were dominated by herring. In 2022, like in 2012-2013, 0-group fish biomasses were dominated by herring. In 2022, observed polar cod and capelin biomasses were especially low due to lack of coverage of their distribution areas. The indices are corrected for incomplete area coverage in Figure 6.2.

Ch 6 Biomass of 0-group fish 1980-2022
Figure 6.2. Biomass of 0-group fish species in the Barents Sea, August–October 1980–2022. The biomass of 0-group fishes for the period 1980-1992 were estimated based on abundance indices and mean fish weight, while  for later years it is ased on fish biomass. Indices were calculated in SAS for the period 1980-2017 and in R since that. Biomasses in 2018, 2020 and 2022 were corrected for lack of coverage.

6.1  Capelin (Mallotus villosus)

The highest average abundance per strata were found in the Svalbard North (435 billion individuals) and Central Bank (17billion individuals) areas.

The 0-group capelin body length varied from 2 to 7.4 cm in 2022, while most of capelin were medium size with body length of 3.5-5.9 cm in 2022, which is similar to length distribution in 2021. Larger individuals (with an average length above 5 cm) were found mainly in northern areas, that indicated most likely that larvae from early spawning drifted further north. The smallest capelin with average length close to 3 cm were found in the southwestern areas (South West).

Ch 6 Distribution of 0-group capelin 2022
Figure 6.1.1. Distribution of 0-group capelin, August-September 2022. Abundance is corrected for capture efficiency (Keff). Dots indicate sampling locations.

A record strong year class of capelin occurred in 2019, followed by medium (2020), weak (2021) and most likely weak 2022-year classes. Estimated abundance of 0-group capelin varied from 1 billion in 1993 to 1. 5 billion individuals in 2019 with a long-term average of 361.6 billion individuals for the 1980-2022 period (Figure 6.1.2). In 2022, the eastern Barents Sea was not covered, where 0-group capelin were often found, and thus abundance and biomass indices were underestimated. Based on the average long-term distribution in 2000-2017, we corrected the 2022 abundance indices for lacking coverage like in 2018 and 2020.  In 2022, the total abundance index for 0-group capelin was well below the long term mean and was 164.6 billion individuals (Fig. 6.1.2).  Therefore, the 2022 year-class of capelin seemed to be weak.

However, estimated biomass of 0-group capelin was higher than the long term mean and was 186 thousand tonnes. 

Ch 6 0-group capelin abundance estimate 2022
Figure 6.1.2. 0-group capelin abundance estimates corrected for capture efficiency (Keff) for the period 1980-2022. Red line shows the long-term average. Abundance indices for 2018, 2020 and 2022 were corrected for lack of coverage and shown by orange columns.

6.2 Cod (Gadus morhua)

The highest average abundance per polygon were found in the northern area (Svalbard North, 18 billion individuals). In 2022, the eastern Barents Sea was not covered, where 0-group cod were usually found, and thus the first abundance indices were underestimated and represents the covered area only.

Ch 6 Distribution of 0-group cod 2022
Figure 6.2.1. Distribution of 0-group cod, August-September 2022. Abundance is corrected for capture efficiency (Keff). Dots indicate sampling locations.

In 2022, 0-group cod were larger than in 2021 and were dominated by fish of 7.0-8.4 cm length. The largest cod (with an average close to 8,5 cm) were observed in polygons of the Southeastern and Great and Central Banks. Some few specimens of small cod below 1.5 cm were found in the Southeastern, Thor Iversen Bank and Svalbard North polygons.

Estimated abundance of 0-group cod varied from 0.276 billion in 1980 to 464.1 billion individuals in 2014 with a long-term average of 114.4 billion individuals for the 1980-2022 period (Figure 3.6.2). In 2022, the total abundance index for 0-group cod was below the long term mean and was 72.8 billion individuals. Cod estimated biomass in 2022 (277 thousand tonnes) was somewhat lower than in 2021 (385 thousand tonnes) and the long term mean for 2003-2022 (339 thousand tonnes).  Therefore, the 2022 year-class of cod seemed to be below average.

Ch 6 0-group cod abundnace estimate 2022
Figure 6.2.2. 0-group cod abundance estimates corrected for capture efficiency (Keff) for the period 1980-2021. Red line shows the long-term average. Abundance indices for 2018, 2020 and 2022 were corrected for lack of coverage and are shown by orange columns.

6.3 Haddock (Melanogrammus aeglefinus)

More than half of the 0-group haddock were found in the Bear Island Trench polygon and the abundance there was as high as 11 billion ind. Haddock were also distributed along the western Svalbard/Spitsbergen archipelago (Fig. 6.3.1.).

Ch 6 Distribution 0-group haddock 2022
Figure 6.3.1. Distribution of 0-group haddock, August-September 2022. Abundance are corrected for capture efficiency (Keff). Abundance are corrected for capture efficiency (Keff). Dots indicate sampling locations.

In 2022, 0-group haddock dominated by fish of 8.0 – 11.4 cm length. The largest haddock (with an average length > 12-13 cm) were observed in the central areas (Great Bank and Southeastern basin), while the smallest haddock were found in the northern areas (with an average length < 6-7 cm).

Estimated abundance of 0-group haddock varied from 0.075 billion in 1982 to 91.6 billion individuals in 2005 with a long-term average of 12.1 billion individuals for the 1980-2022 period (Figure 6.3.2).

Ch 6 0-group haddock abundance 2022
Figure 6.3.2. 0-group haddock estimates corrected for capture efficiency (Keff) for the period 1980-2022. Red line shows the long-term average. Abundance indices for 2018, 2020 and 2022 were corrected for lack of coverage and shown by orange columns.

In 2022, the total abundance estimates for 0-group haddock were higher than the long term mean and was 22.1 billion individuals. Haddock estimated biomass in 2022 (124 thousand tonnes) was lower than in 2021 (216 thousand tonnes) and close to the long term mean for 2003-2022 (115 thousand tonnes). Lack of coverage in the eastern Barents Sea will not influence the level of abundance indices so much due to 0-group haddock usually being distributed in the western and central areas. Thus, the 2022-year class may be characterized as strong.


6.4 Herring (Clupea harengus)

0-group herring were widely distributed in the covered area (Fig. 6.4.1). The highest average abundance per polygon were found Svalbard North (1100 billion individuals) and fish of average size (with an average length of 5.6 cm). Relatively high concentrations were also found in the Bear Island Trench, Thor Iversen Bank and Hopen Deep polygons (with an average of 140-160 billions individuals).

Ch 6 Distribution of 0-group herring 2022
Figure 6.4.1. Distribution of 0-group herring, August-September 2022. Abundance are corrected for capture efficiency (Keff). Abundance are corrected for capture efficiency (Keff). Dots indicate sampling locations.

The length of the majority of herring (90%) varied between 4 and 7 cm in 2022. Larger individuals were observed in the central areas with an average length of 6.0 cm, while the smallest herring was found in the southeastern areas and north of Svalbard (Spitzbergen).

Estimated abundance of 0-group herring varied from 0.037 billion in 1982 to774 billion individuals in 2004 (Figure 6.4.2). In 2022, the eastern Barents Sea was not fully covered and zero border of herring distribution were not found in the east, and thus abundance and biomass indices estimates are slightly underestimated. Despite this, in 2022, the total abundance index for 0-group herring was almost 10 times higher than to the long term mean and was close to 2000 billion individuals (Figure 6.4.2).

Ch 6 0-group herring abundance estimate 2022
Figure 6.4.2. 0-group herring abundance estimates corrected for capture efficiency (Keff) for the period 1980-2022. Red line shows the long-term average. Abundance indices for 2018, 2020 and 2022 were corrected for lack of coverage and shown by orange columns.

Estimated biomass of 0-group herring was highest since 2004 and much higher than the long-term mean (411 thousand tonnes) and was close to 4 million tonnes. Therefore, the 2022-year class of herring may be characterized as record strong. Unfortunately, half of the 0-group herring abundance was distributed north of Svalbard and therefore their survival during the first winter is highly unknown.


6.5 Polar cod (Boreogadus saida)

Polar cod were found around the Svalbard archipelago in 2022 (Fig. 6.5.1). Coverage of the 0-group polar cod was not complete, especially in the eastern parts of the Barents Sea (Fig. 6.1), and thus the south-eastern component of polar cod could not be presented here.

Ch 6 Distribution of 0-group polar cod 2022
Figure 6.5.1. Distribution of 0-group polar cod, August-September 2022. Abundance is corrected for capture efficiency (Keff). Dots indicate sampling locations.

The polar cod length varied between 2.5 and 8.0 cm, while dominated by fish with length of 3.5-5.5 cm. In 2020, the average length was 4.8 cm. Averaged length doesn’t vary between polygons.

Estimated abundance of 0-group polar cod varied from 0.201 billion in 1995 to 2400* billion individuals in 1994 with a long-term average of 307.6 billion individuals for the 1980-2022 period (Figure 3.5.4). In 2018, 2020, 2021 and 2022 the eastern part of the Barents Sea was not fully covered, where 0-group polar cod are often found, and thus abundance and biomass indices were underestimated. The eastern component has dominated in abundance and biomass during 1980, 1990 and early 2000s. In 2022, the total abundance index for 0-group polar cod was extremely low and was 5.4 billion individuals (Figure 6.5.2).

Ch 6 0-group polar cod abundance estimate 2022
Figure 6.5.2. 0-group polar cod abundance estimates corrected for capture efficiency (Keff) for the period 1980-2022. Red line shows the long-term average. Abundance indices for 2018, 2020 and 2022 were corrected for lack of coverage and shown by orange columns.

In 2021, estimated biomass of 0-group polar cod was 1/15 of the long term mean (134 thousand tonnes for the period 1993-2022) and was 9 thousand tonnes.

The abundance index of 2022-year class from Svalbard (Spitzbergen) population is very low and may be characterized as weak.


6.6 Saithe (Pollachius virens)

Saithe distribution and abundance varied a lot between years. In 2022, 0-group saithe were found in the central Barents Sea such as in 2021 (Fig. 6.6.1).

Ch 6 Distribution of 0-group saithe 2022
Figure 6.6.1. Distribution of 0-group saithe in August-September 2022. Abundance was not corrected for capture efficiency. Dots indicate sampling locations.

Largest saithe with an average of 11-12 cm were observed in the Bear Island Trench and Thor Iversen Bank polygons, fish with an average of 8.5-9.0 cm were found in the northcentral areas.

In 2022, abundance was higher than long term mean (442 million for the period 1980-2022), i.e. 724 million individuals (Fig. 6.6.2).

Ch 6 0-group saithe abundance estimate
Figure 6.6.2. 0-group saithe abundance estimates were not corrected for capture efficiency for the period 1980-2022. Red line shows the long-term average.

0-group saithe are generally distributed along the Norwegian coast, while some part of the year class are transported to the Barents Sea. Therefore, abundance indices for saithe may not represent year classes strength but give indication of abundance in the Barents Sea.


6.7 Redfish (mostly Sebastes mentella)

0-group redfish was distributed from north of Norwegian coast to the northwest/east of Svalbard (Spitsbergen) archipelago in 2022 (Figure 6.7.1). The densest concentrations and the largest fish with an average length of 4.3 cm were found in the Thor Iversen Bank polygon.

Ch 6 Distribution of redfish 2022
Figure 6.7.1. Distribution of 0-group redfishes (mostly Sebastes mentella) in August-September 2022. Abundance was not corrected for capture efficiency. Dots indicate sampling locations.).

Estimated abundance of 0-group deepwater redfish varied from 23 billion individuals in 2001 to 1600 billion individuals in 1985, and long term average abundance was 217 billion individuals for the 1980-2022 period (Figure 6.7.2). In 2022, the total abundance index for 0-group deepwater redfish was very low and was 9.1 billion individuals, which is much lower than the long-term mean. The total biomass was close to 19 thousand tonnes. Thus the 2022-year class may be characterized as weak.

Ch 6 0-group redfish abundance estimate 2022
Figure 6.7.2. 0-group deepwater redfish abundance (corrected for trawl efficiency) in the Barents Sea during 1980-2022. Red line shows the long-term average.

6.8 Greenland halibut (Reinhardtius hippoglossoides)

0-group Greenland halibut were found distributed around the Svalbard (Spitzbergen) in 2022 similar to the distribution in 2018-2021 (Figure 6.8.1).

0-group Greenland halibut length varied from 2.5 to 9.5 cm. Larger fish were found in the Fr.Victoria Trough polygon, and fish length were with an average of 7.3 cm, while smaller fish were found in the Svalbard South and Svalbard North polygons with an average of 6.6 - 6.7 cm.

Ch 6 Distribution of 0-group Greenland halibut 2022
Figure 6.8.1. Distribution of 0-group Greenland halibut, August-September 2022. Dots indicate sampling locations.

In 2022, the total abundance index for 0-group fish were 40.5 *106 individuals, that was higher than the long term mean of 30 million individuals. Estimated biomass was also higher than the long term mean (of 82 tonnes) and was 73 tonnes.

Ch 6 0-group Greenland halibut abundance estimate 2022
Figure 6.8.2. 0-group Greenland halibut abundance estimates were not corrected for capture efficiency for the period 1980-2022. Red line shows the long-term average.

6.9 Long rough dab (Hippoglossoides platessoides)

In 2022, 0-group long rough dab were mainly distributed in the north of Svalbard (Spitsbergen) (Figure 6.9.1). In 2022, the eastern Barents Sea was not covered, where long rough dab is usually distributed.

Ch 6 Distribution of 0-group long-rough dab 2022
Figure 6.9.1. Distribution of 0-group long rough dab, August-September 2022. Dots indicate sampling locations.

The 0-group long rough dab length varied from 0.5 to 6.0 cm with an average of 3.9 cm.

In 2022, the total abundance index for 0-group fish were 69.3 million individuals that was lowest since 2014. Estimated biomass was also lower than long term mean of 287 tonnes and was 48 tonnes.

Ch 6 0-group long-rough dab abundance estimate 2022
Figure 6.9.2. 0-group long rough dab abundance estimates were not corrected for capture efficiency for the period 1980-2022. Red line shows the long-term average.

Thus the 2022-year class of long rough dab is difficult to characterize because lack of coverage in traditional area.

7 - COMMERCIAL PELAGIC FISH

Figures by S. Karlson, G. Skaret

In 2022, the Russian survey sector was surveyed with a significant delay (see chapter 2). Thus, initially the calculations of numbers and biomass were made for the Norwegian part only.

7.1 Capelin (Mallotus villosus)

Only the Norwegian side of the Barents Sea was covered synoptically, the eastern part of the feeding area for capelin was covered late (see Figure 7.1.1.1). It is highly variable between years how much capelin is present in the eastern part of the distribution area (see: Advice on fishing opportunities for Barents Sea capelin in 2023 | Havforskningsinstituttet). Assesment in October-November cannot be combined with assesment in August-September, since there are no reliable data on capelin migration within 2 months. Therefore, the estimates given in the table 7.1.2.1b can only be used as additional information.

7.1.1  Geographical distribution

The Norwegian (western) side of the Barents Sea was covered during BESS in August-September 2022, and the geographical distribution of capelin recorded acoustically is shown in Figure 7.1.1.1 (marked in gray colour). The capelin was distributed further north than in recent years. Significant recordings of capelin were made north of Kvitøya already in early September by ‘GO Sars’. A similar northerly distribution has not been observed since 2013. The Russian (eastern) part was covered in October-November. Capelin was distributed far to the northeast up to 78°N and 60°E (see Figure 7.1.1.1, marked in red). The main densities were found at the border of the surveyed area, which shows that the capelin distribution was even further north and east.

Ch 7.1.1.1 Geographical distribution of capelin 2022
Figure. 7.1.1.1. Geographical distribution of capelin in autumn 2022 based on acoustic recordings. Circle sizes correspond to sA values (m2/nmi2) per nautical mile. The circles and transect marked with red colour are recordings from Vilnyus made later than the other vessels (see text for details).

 

7.1.2  Abundance by size and age

A detailed summary of the acoustic stock estimate is given in Table 7.1.2.1a, and the time series of abundance estimates is summarized in Table 7.1.2.2. A comparison between the estimates in 2022 and 2021 is given in the table 7.1.2.3 with the 2021 estimate shown on a shaded background.

The total stock in the covered area was estimated to about 2.17 million tons, which is below the long-term average level (2.8 million tons). About 38 % (0.82 million tons) of the 2022 stock had length above 14 cm and was therefore considered to be maturing. The 2-year-olds and 3-year-olds (2020 and 2019 year-classes) dominated in the capelin stock in terms of both abundance and biomass. Late estimation in October-November in the northeastern part showed a SSB in this area of about 244 thousand tons. There was a significant dominance of age 3+ (70%). Average weight at age (based on the western survey area) was the lowest since the 1970s for the 2-year-olds and the lowest since the mid-eighties for 3-year-olds (figure 7.1.2.1).

The work concerning assessment and quota advice for capelin is dealt with in a separate report published here: Advice on fishing opportunities for Barents Sea capelin in 2023 | Havforskningsinstituttet.


 

Table 7.1.2.1a Barents Sea capelin. Summary of results from the acoustic estimate in August-September 2022 (western part).

Length (cm)

Age/year class

Sum

 (109)

Biomass

 (103 t)

Mean

weight (g)

1

2

3

4

5

2021

2020

2019

2018

2017

7.0-7.5

0.275

 

 

 

 

0.275

0.347

1.26

7.5-8.0

0.448

 

 

 

 

0.448

0.982

2.19

8.0-8.5

1.851

 

 

 

 

1.851

4.324

2.34

8.5-9.0

3.240

 

 

 

 

3.240

9.512

2.94

9.0-9.5

11.849

0.367

 

 

 

12.216

41.061

3.36

9.5-10.0

16.198

0.643

 

 

 

16.841

64.576

3.83

10.0-10.5

18.004

3.259

0.234

 

 

21.498

92.273

4.29

10.5-11.0

15.478

22.005

0.997

 

 

38.481

191.589

4.98

11.0-11.5

4.450

28.864

1.244

 

 

34.558

193.871

5.61

11.5-12.0

2.061

28.342

2.699

 

 

33.102

211.645

6.39

12.0-12.5

1.194

20.241

4.766

 

 

26.201

190.108

7.26

12.5-13.0

0.270

11.627

3.362

0.016

 

15.275

128.200

8.39

13.0-13.5

0.141

8.034

4.325

0.081

 

12.581

122.333

9.72

13.5-14.0

 

4.171

5.232

0.068

 

9.470

105.374

11.13

14.0-14.5

 

2.936

5.955

0.040

 

8.932

114.229

12.79

14.5-15.0

 

1.788

5.060

0.046

 

6.894

101.479

14.72

15.0-15.5

 

1.294

5.544

0.262

 

7.100

119.397

16.82

15.5-16.0

 

0.832

5.340

0.184

 

6.356

122.091

19.21

16.0-16.5

 

0.933

5.625

0.447

 

7.006

148.635

21.22

16.5-17.0

 

0.290

3.518

0.005

 

3.814

91.257

23.93

17.0-17.5

 

0.079

1.988

0.077

 

2.143

59.219

27.63

17.5-18.0

 

0.078

1.019

0.025

0.008

1.129

34.809

30.82

18.0-18.5

 

0.004

0.679

 

 

0.683

22.707

33.24

18.5-19.0

 

 

0.103

 

 

0.103

3.620

35.20

19.0-19.5

 

 

0.001

 

 

0.001

0.033

39.00

TSN (109)

75.460

135.787

57.692

1.250

0.008  

270.197

 

 

TSB (103 t)

324.674  

964.078  

860.680  

24.052  

0.188

 

2173.671

 

Mean length (cm)

9.85

11.69

14.22

15.32

17.50

11.98

 

 

Mean weight (g)

4.30

7.10

14.92

19.25

24.00

 

 

8.04

SSN (109)

0

8.234

34.833

1.085

0.008

44.160

 

 

SSB (103 t)

0

133.063

662.616

21.613

0.241

 

817.476

 

       Target strength estimation based on formula: TS= 19.1 log (L) – 74.0


Fig 7.1.2.1 Weight at age for capelin surveys
Figure 7.1.2.1. Weight at age (grams) for capelin from capelin surveys (prior to 2003) and BESS. In 2022 data are used only for the western part of the survey area.

 

Table 7.1.2.1b Barents Sea capelin. Summary of results from the acoustic estimate in October-November 2022 (eastern part).

Length (cm)

Age/year class

Sum

 (109)

Biomass

 (103 t)

Mean

weight (g)

1

2

3

4

 

2021

2020

2019

2018

 

9.0-9.5

0.505

 

 

 

 

0.505

1.045

2.07

9.5-10.0

0.454

 

 

 

 

0.454

1.181

2.6

10.0-10.5

0.293

 

 

 

 

0.293

0.966

3.3

10.5-11.0

0.038

 

 

 

 

0.038

0.158

4.1

11.0-11.5

0.050

 

 

 

 

0.050

0.225

4.51

11.5-12.0

0.422

 

 

 

 

0.422

2.261

5.36

12.0-12.5

 

0.469

 

 

 

0.469

2.920

6.22

12.5-13.0

 

1.460

0.422

 

 

1.882

13.325

7.08

13.0-13.5

 

1.417

0.000

 

 

1.417

11.349

8.01

13.5-14.0

 

1.388

0.657

 

 

2.045

19.198

9.39

14.0-14.5

 

0.704

1.292

 

 

1.996

23.375

11.71

14.5-15.0

 

0.485

1.150

 

 

1.635

20.173

12.34

15.0-15.5

 

0.560

1.396

 

 

1.956

29.239

14.95

15.5-16.0

 

0.211

1.341

 

 

1.552

27.165

17.5

16.0-16.5

 

 

1.333

0.199

 

1.532

30.653

20.01

16.5-17.0

 

 

0.777

 

 

0.777

18.074

23.27

17.0-17.5

 

 

0.572

 

 

0.572

14.584

25.49

17.5-18.0

 

 

0.447

0.081

 

0.528

15.890

30.09

18.0-18.5

 

 

0.359

 

 

0.359

11.054

30.82

18.5-19.0

 

 

0.022

 

 

0.022

0.764

34.32

19.0-19.5

 

 

0.014

 

 

0.014

0.509

37.6

19.5-20.0

 

 

0.001

 

 

0.001

0.061

42.19

TSN (109)

1.762

6.695

9.782

0.280

 

18.518

 

 

TSB (103 t)

5.836

   63.938

  167.984

  6.411

 

 

244.168

 

Mean length (cm)

10.23

13.63

15.53

16.68

 

14.36

 

 

Mean weight (g)

3.31

9.55

17.17

22.91

 

 

 

13.19

SSN (109)

0

1.960

8.703

0.280

 

10.944

 

 

SSB (103 t)

0

26.300

158.830

6.411

 

191.540

 

 

   Target strength estimation based on formula: TS= 19.1 log (L) – 74.0


Table 7.1.2.2. Barents Sea capelin. Summary of acoustic estimates by age in autumn 1973- 2022. Biomass (B) in tons *109 and average weight (AW) in grams.

Year

Age

Sum

1

2

3

4

5

B

AW

B

AW

B

AW

B

AW

B

AW

B

1973

1.69  

3.2  

2.32  

6.2  

0.73  

18.3  

0.41  

23.8  

0.0  1

30.1  

5.14  

1974

1.06

3.5

3.06

5.6

1.53

8.9

0.07

20.8

+

25.0

5.73

1975

0.65

3.4

2.39

6.9

3.27

11.1

1.48

17.1

0.01

31.0

7.81

1976

0.78

3.7

1.92

8.3

2.09

12.8

1.35

17.6

0.27

21.7

6.42

1977

0.72

2.0

1.41

8.1

1.66

16.8

0.84

20.9

0.17

22.9

4.80

1978

0.24

2.8

2.62

6.7

1.20

15.8

0.17

19.7

0.02

25.0

4.25

1979

0.05

4.5

2.47

7.4

1.53

13.5

0.10

21.0

+

27.0

4.16

1980

1.21

4.5

1.85

9.4

2.83

18.2

0.82

24.8

0.01

19.7

6.71

1981

0.92

2.3

1.83

9.3

0.82

17.0

0.32

23.3

0.01

28.7

3.90

1982

1.22

2.3

1.33

9.0

1.18

20.9

0.05

24.9

 

 

3.78

1983

1.61

3.1

1.90

9.5

0.72

18.9

0.01

19.4

 

 

4.23

1984

0.57

3.7

1.43

7.7

0.88

18.2

0.08

26.8

 

 

2.96

1985

0.17

4.5

0.40

8.4

0.27

13.0

0.01

15.7

 

 

0.86

1986

0.02

3.9

0.05

10.1

0.05

13.5

+

16.4

 

 

0.12

1987

0.08

2.1

0.02

12.2

+

14.6

+

34.0

 

 

0.10

1988

0.07

3.4

0.35

12.2

+

17.1

 

 

 

 

0.43

1989

0.61

3.2

0.20

11.5

0.05

18.1

+

21.0

 

 

0.86

1990

2.66

3.8

2.72

15.3

0.44

27.2

+

20.0

 

 

5.83

1991

1.52

3.8

5.10

8.8

0.64

19.4

0.04

30.2

 

 

7.29

1992

1.25

3.6

1.69

8.6

2.17

16.9

0.04

29.5

 

 

5.15

1993

0.01

3.4

0.48

9.0

0.26

15.1

0.05

18.8

 

 

0.80

1994

0.09

4.4

0.04

11.2

0.07

16.5

+

18.4

 

 

0.20

1995

0.05

6.7

0.11

13.8

0.03

16.8

0.01

22.6

 

 

0.19

1996

0.24

2.9

0.22

18.6

0.05

23.9

+

25.5

 

 

0.50

1997

0.42

4.2

0.45

11.5

0.04

22.9

+

26.2

 

 

0.91

1998

0.81

4.5

0.98

13.4

0.25

24.2

0.02

27.1

+

29.4

2.06

1999

0.65

4.2

1.38

13.6

0.71

26.9

0.03

29.3

 

 

2.77

2000

1.70

3.8

1.59

14.4

0.95

27.9

0.08

37.7

 

 

4.27

2001

0.37

3.3

2.40

11.0

0.81

26.7

0.04

35.5

+

41.4

3.63

2002

0.23

3.9

0.92

10.1

1.04

20.7

0.02

35.0

 

 

2.21

2003

0.20

2.4

0.10

10.2

0.20

18.4

0.03

23.5

 

 

0.53

2004

0.20

3.8

0.29

11.9

0.12

21.5

0.02

23.5

+

26.3

0.63

2005

0.10

3.7

0.19

14.3

0.04

20.8

+

25.8

 

 

0.32

2006

0.29 

4.8 

0.35 

16.1 

0.14 

24.8 

0.01 

30.6 

+

36.5 

0.79

2007

0.93

4.2

0.85

15.5

0.10

27.5

+

28.1

 

 

2.12

2008

0.97

3.1

2.80

12.1

0.61

24.6

0.05

30.0

 

 

4.43

2009

0.42

3.4

1.82

10.9

1.51

24.6

0.01

28.4

 

 

3.77

2010

0.74

3.0

1.30

10.2

1.43

23.4

0.02

26.3

 

 

3.50

2011

0.50

2.4

1.76

9.7

1.21

21.9

0.23

29.1

 

 

3.71

2012

0.54

3.7

1.37

8.8

1.62

18.5

0.06

25.0

 

 

3.59

2013

1.04

3.2

1.81

8.4

0.94

16.0

0.16

23.2

+

29.1

3.96

2014

0.32

3.0

0.95

9.0

0.64

16.3

0.04

20.3

 

 

1.95

2015

0.14

3.8

0.40

10.8

0.20

17.9

0.09

22.5

+

28.1

0.84

2016

0.12

3.9

0.12

15.3

0.08

25.2

+

24.7

 

 

0.33

2017

0.37

4.3

1.70

13.8

0.42

24.9

0.01

27.3

 

 

2.51

2018

0.29

4.9

0.80

13.8

0.48

22.4

0.01

29.3

 

 

1.60

2019

0.09

4.9

0.13

14.5

0.16

22.8

0.03

25.7

 

 

0.41

2020

1.27

3.5

0.49

15.6

0.10

24.9

0.03

30.2

+

22.6

1.88

2021

0.76

3.4

3.08

9.3

0.16

22.5

+

38.7

 

 

4.00

2022

0.32

4.3

0.96

7.1

0.86

14.9

0.02

19.2

+

24.0

2.17

Average

0.63

3.6

1.30

10.9

0.78

19.7

0.17

25.2

0.07

27.6

2.82

      Note:«+»  <0.01*109 tons

Table 7.1.2.3. Summary of acoustic stock size estimates for capelin in 2021-2022.

A comparison between the estimates this year and last year (shaded background).

Year class

Age

Numbers (106)

Mean weight (g)

Biomass (103 t)

2021

2020

1

75.5

220.8

4.30

3.43

324.7

757.7

2020

2019

2

135.8

329.9

7.10

9.34

964.1

3081.5

2019

2018

3

57.7

7.0

14.92

22.47

860.7

157.2

2018

2017

4

1.2

0.1

19.25

38.66

24.1

1.2

Total stock in:

 

 

 

 

 

 

 

 

2022

2021

1-4

270.2

557.9

8.04

7.17

2173.7

3997.8


7.2 Polar cod (Boreogadus saida)

7.2.1 Geographical distribution

Only the western part of the Barents Sea was covered synoptically during BESS in 2022, the eastern part was covered late. The acoustic recordings of polar cod from both coverages are shown in Figure 7.2.1.1. There was very little polar cod observed in the west, the two significant concentrations were at 76°N close to the Russian border, and immediately north of Kong Karls land at ca. 77°N. In the eastern area, the polar cod had a wider distribution, although without very high concentrations. Polar cod was also recorded near the Kara Strait. The relatively low concentrations of polar cod this survey year contrast the wide area with polar cod aggregations from the previous two survey years. 

Ch 7.2.1.1 Geographical distribution of polar cod 2022
Figure 7.2.1.1 Geographical distribution of polar cod in autumn 2022 based on acoustic data. Circle sizes correspond to sA values (m2/nmi2) per nautical mile. The circles and transect marked with red colour are recordings from Vilnyus made later than the other vessels (see text for details).  

7.2.2 Abundance estimation

Due to the incomplete coverage, no polar cod abundance estimation was done for 2022.


7.3 Herring (Clupea harengus)

7.3.1 Geographical distribution

Only the Norwegian side of the Barents Sea was covered synoptically during BESS in 2022, the eastern part was covered late. The main distribution of young Norwegian spring spawning herring (NSSH) within the survey area was the North Cape bank around 30°E (Figure 7.3.1.1). In addition, there were concentrations of old fish (2016-yearclass) in the south-west. Very little herring was recorded during the late coverage in the east.

Ch 7.3.1.1 Geographical distribution of herring 2022
Figure 7.3.1.1 Geographical distribution of herring in autumn 2022 based on acoustic recordings. Circle sizes correspond to sA values (m2/nmi2) per nautical mile. The circles and transect marked with red colour are recordings from Vilnyus made later than the other vessels (see text for details).  

7.3.2  Abundance estimation

The estimated total number and biomass of NSSH in the Barents Sea in the autumn 2022 is shown in table 7.3.2.1, and the time series of abundance estimates is summarized in Table 7.3.2.2. Total numbers in 2022 was estimated at 6.78 billion individuals (Table 7.3.2.1). This is below the long-term average (Table 7.3.2.2). Abundance of all age groups were below the long-term average, and in particular the abundance of 3-year-olds was low as expected from the low number of 2-year-olds (2019 year-class) in the survey last year. 1-year-olds are dominating in abundance while the very strong 2016 year-class is still dominating the biomass estimate (Table 7.3.2.1).


 

Table 7.3.2.1. NSS herring. Acoustic estimate in the Barents Sea in August-October 2022 (only western coverage area included).

Length (cm)

Age/year class

Sum (109)

Biomass

(103 t)

Mean weight (g)

1

2

4

5

6

2021

2020

2018

2017

2016

13-14

0.000

 

 

 

 

0.000

0.005

20.00

14-15

0.001

 

 

 

 

0.001

0.014

19.33

15-16

1.436

 

 

 

 

1.436

32.311

22.50

16-17

0.639

 

 

 

 

0.639

19.994

31.31

17-18

1.116

 

 

 

 

1.116

44.951

40.27

18-19

1.058

0.049

 

 

 

1.107

49.944

45.11

19-20

0.148

0.134

 

 

 

0.282

15.186

53.76

20-21

0.045

 

 

 

 

0.045

2.499

56.00

21-22

 

0.027

 

 

 

0.027

2.016

76.00

22-23

 

0.009

 

 

 

0.009

0.743

84.00

23-24

 

0.448

 

 

 

0.448

36.567

81.58

24-25

 

 

 

 

 

0.000

 

 

25-26

 

0.215

 

 

 

0.215

27.592

128.16

26-27

 

 

 

0.009

 

0.009

1.273

144.00

27-28

 

 

0.009

 

 

0.009

1.326

150.00

28-29

 

 

 

 

 

0.000

 

 

29-30

 

 

0.352

 

 

0.352

78.041

221.50

30-31

 

 

0.037

 

0.008

0.045

11.978

263.73

31-32

 

 

 

0.120

0.084

0.204

57.812

283.82

32-33

 

 

0.091

0.183

0.251

0.526

159.025

302.48

33-34

 

 

 

0.008

0.074

0.083

26.189

317.15

34-35

 

 

 

 

0.231

0.231

76.631

331.43

35-36

 

 

 

 

 

0.000

1.602

388.00

TSN (109)

4.442

0.882

0.490

0.320

0.649

6.783

 

 

TSB (103 t)

155.248   

76.574   

117.268   

92.468   

202.539

 

645.699

 

Mean length (cm)

16.54

22.53

29.60

31.49

32.67

 

 

 

Mean weight (g)

34.95

86.78

239.44

289.16

312.03

 

 

94.95

    Target strength estimation based on formula: TS= 20.0 log (L) – 71.9


 

Table 7.3.2.2. NSS herring. Summary of acoustic estimates by age in autumn 1999-2022. TSN and TSB are total stock numbers (109) and total stock biomass (103 tons) respectively.

Year

Age 1

Age 2

Age 3

Age 4+

Total

TSN

TSB

TSN

TSB

TSN

TSB

TSN

TSB

TSN

TSB

1999

48.759

716.0

0.986

31.0

0.051

2.0

 

 

49.795

749.0

2000

14.731

383.0

11.499

560.0

 

 

 

 

26.230

943.0

2001

0.525

12.0

10.544

604.0

1.714

160.0

 

 

12.783

776.0

2002

No data

 

 

 

 

 

 

 

 

 

2003

99.786

3090.0

4.336

220.0

2.476

326.0

 

 

106.597

3636.0

2004

14.265

406.0

36.495

2725.0

0.901

107.0

 

 

51.717

3252.0

2005

46.380

984.0

16.167

1055.0

6.973

795.0

 

 

69.520

2833.0

2006

1.618

34.0

5.535

398.0

1.620

211.0

 

 

8.773

643.0

2007

3.941

148.0

2.595

218.0

6.378

810.0

0.250

46.0

13.164

1221.0

2008

0.030

1.0

1.626

77.0

3.987*

287*

3.223*

373*

8.866*

738*

2009

1.538

48.0

0.433

52.0

1.807

287.0

1.686

393.0

5.577

815.0

2010

1.047

35.0

0.315

34.0

0.234

37.0

0.428

104.0

2.025

207.0

2011

0.095

3.0

1.504

106.0

0.006

1.0

 

 

1.605

109.0

2012

2.031

36.0

1.078

66.0

1.285

195.0

 

 

4.394

296.0

2013

7.657

202.0

5.029

322.0

0.092

13.0

0.057

9.0

12.835

546.0

2014

4.188

62.0

1.822

126.0

6.825

842.0

0.162

25.0

13.011

1058.0

2015

1.183

6.0

9.023

530.0

3.214

285.0

0.149

24.0

13.569

845.0

2016

7.760

131.0

1.573

126.0

3.089

389.0

0.029

6.0

12.452

652.0

2017

34.950

820.0

2.138

141.0

3.465

412.0

0.982

210.0

41.537

1583.0

2018

No data

 

 

 

 

 

 

 

 

 

2019

13.650   

172.0   

0.209   

15.1   

6.000

756.0   

1.600   

487.0   

21.460   

1430.0  

2020

 

 

0.231

13.0

1.816

189.0

11.59*

2796*

13.636*

2998*

2021

1.410

80.8

0.120

10.1

0.360

39.5

0.720

144.7

2.610

275.1

2022**

4.442

155.2

0.882

76.6

0.000

0.0

1.459

412.3

6.783

645.7

Average

14.760

358.3

5.190

341.2

2.490

292.6

1.720

386.9

22.680

1193.2

   *in mix with Kanin herring in the south-eastern part of the coverage area

  **survey coverage only on Norwegian (western) side


7.4 Blue whiting (Micromesistius poutassou)

7.4.1  Geographical dirtribution

Blue whiting contributes to make up the mid-trophic pelagic component in the south-western part of the Barents Sea ecosystem. The Barents Sea is on the border of the distribution area for the blue whiting, but with incoming strong year-classes, increased abundance of young blue whiting in the Barents Sea is normally observed. During the 2022 survey, the westernmost parts of some transects were omitted due to reduction in effort (see Figure 7.4.1.1). These westernmost parts cover the shelf edge where blue whiting is typically distributed, and the cuts are likely to bias abundance of blue whiting downwards in comparison with previous years. The largest concentrations of blue whiting were found at the extreme south-western part of the survey area (Figure 7.4.1.1).    

Ch 74.1.1 Geographical distribution of blue whiting 2022
Figure 7.4.1.1. Geographical distribution of blue whiting in autumn 2022 based on acoustic recordings. Circle sizes correspond to sA values (m2/nmi2) per nautical mile. The transects marked with red colour are from Vilnyus carried out later than the other vessels (see text for details).

7.4.2  Abundance by size and age

The estimated total number and biomass of blue whiting in the Barents Sea in the autumn 2022 is shown in table 7.4.2.1, and the time series of abundance estimates is summarized in Table 7.4.2.2. Only data from the western coverage area are included in the estimate since the coverage in the east was late, but normally there is no blue whiting found in the east.

From 2004-2007 estimated biomass of blue whiting in the Barents Sea was between 200 000 and 350 000 tons (Table 7.4.2.2). In 2008 the estimated biomass dropped abruptly to only about 18% of the estimated biomass in the previous year, and it stayed low until 2012. From 2012 onwards it has been variable, but the last five years it has been lower than average despite that recruitment (abundance at age 1) in both 2021 and 2022 were high. This year estimated biomass was similar to the estimates from 2018, 2019 and last year (Table 7.4.2.3).

The 2021 year class (1-year olds) dominated in abundance while the 2020 year class (2-year-olds) dominated in biomass, but all age groups are below average in abundance (Table 7.4.2.1).


 

Table 7.4.2.1 Blue whiting. Acoustic estimate in the Barents Sea in August-October 2022 (only western coverage area included).

Length (cm)

Age/year class

Sum

(106)

Biomass

(103 t)

Mean

weight (g)

1

2

3

4

5

6

7

8

10

2021

2020

2019

2018

2017

2016

2015

2014

2012

14-15

0.1

 

 

 

 

 

 

 

 

0.1

0.0

20.00

15-16

 

 

 

 

 

 

 

 

 

 

 

 

16-17

2.9

 

 

 

 

 

 

 

 

2.9

0.1

22.11

17-18

14.4

 

 

 

 

 

 

 

 

14.4

0.4

26.10

18-19

47.0

 

 

 

 

 

 

 

 

47.0

1.5

32.76

19-20

64.8

1.2

 

 

 

 

 

 

 

66.0

2.5

38.28

20-21

48.9

 

 

 

 

 

 

 

 

48.9

2.3

47.06

21-22

10.5

14.0

 

 

 

 

 

 

 

24.5

1.4

55.84

22-23

6.1

19.3

 

 

 

 

 

 

 

25.5

1.7

66.00

23-24

 

21.6

6.5

 

 

 

 

 

 

28.1

2.1

75.76

24-25

 

39.8

2.9

 

 

 

 

 

 

42.7

3.7

86.39

25-26

 

18.6

17.3

3.8

 

 

 

 

 

39.8

3.9

97.76

26-27

 

16.1

6.1

 

2.7

2.0

 

 

 

26.9

3.0

111.17

27-28

 

12.6

1.7

3.6

0.9

 

 

 

 

18.7

2.3

124.83

28-29

 

 

5.2

3.9

1.7

 

 

 

 

10.8

1.5

138.45

29-30

 

 

 

3.7

1.0

2.2

 

 

 

6.8

1.0

153.03

30-31

 

 

1.1

 

4.5

 

2.0

2.4

0.8

10.8

1.8

166.90

31-32

 

 

 

1.2

 

 

1.3

5.9

 

8.4

1.6

189.10

32-33

 

 

 

 

0.4

0.3

0.5

4.0

0.8

5.9

1.2

205.97

33-34

 

 

 

 

 

 

 

 

2.7

2.7

0.6

215.48

34-35

 

 

 

 

1.1

1.3

 

1.2

 

3.7

0.8

229.32

35-36

 

 

 

 

0.4

 

 

0.2

1.2

1.9

0.5

289.75

36-37

 

 

 

 

 

 

 

0.3

 

0.3

0.1

282.91

37-38

 

 

 

 

 

 

 

 

0.2

0.2

0.1

338.67

38-39

 

 

 

 

 

 

 

0.2

 

0.2

0.1

325.22

TSN (106)

194.6

143.2

40.7

16.1

12.8

5.8

3.7

14.1

5.8

436.9   

 

 

TSB (103 t)

7.8

12.4

4.2

2.1

2.0

0.9

0.7

2.9

1.0

 

34.2   

 

Mean length (cm)

19.33   

24.09   

25.56   

27.74   

29.40   

29.55   

30.84   

31.86   

33.18   

 

 

 

Mean weight (g)

40.13

86.31

103.31

132.05

156.04

159.90

179.73

202.73

220.63

 

 

78.29

      Target strength estimation based on formula: TS=20 log (L) - 65.2


 

 Table 7.4.2.2 Blue whiting. Acoustic estimates by age in autumn 2004-2022. TSN and TSB are total stock numbers (106) and total stock biomass (103 tons) (only western coverage area included).

 

 

Age 1

Age 2

Age 3

Age 4+

Total

TSN

TSB

TSN

TSB

TSN

TSB

TSN

TSB

TSN

TSB

2004

669

26

439

33

1056

98

1211

159

3575

327

2005

649

20

523

36

1051

86

809

102

3039

244

2006

47

2

478

34

730

70

922

129

2177

235

2007

+

+

116

11

892

92

743

107

1757

210

2008

+

+

+

+

10

1

238

36

247

37

2009

1

+

+

+

6

1

359

637

366

65

2010

 

 

2

 

5

1

155

31

163

33

2011

2

+

2

+

13

2

93

22

109

25

2012

583

27

64

8

58

9

321

77

1025

121

2013

1

 

349

28

135

13

175

42

664

84

2014

111

5

19

2

185

20

127

28

443

55

2015

1768

71

340

29

134

15

286

44

2529

159

2016

277

13

1224

82

588

48

216

36

2351

188

2017

43

2

253

22

503

49

269

38

1143

115

2018

 

 

18

1

74

8

215

29

332

40

2019

54

2

64

5

66

8

162

27

347

43

2020

110

5

19

2

11

1

56

11

196

18

2021

406

17

58

5

39

5

67

13

584

40

2022

195

8

143

12

41

4

58

10

437

34

Average

328

16

242

21

295

28

341

83

1131

109

    Target strength estimation based on formula: TS = 20 log (L) - 65.2 (Recalculation by Åge Høines, IMR 2017)                                                              Note:«+»  <0.5

 

 

 

 

 

 

Table 7.4.2.3 Summary of stock size estimates for blue whiting in 2021-2022. A comparison between the estimates of numbers (106), Mean weight (g) and Biomass (103 t) for this year (left columns) and last year (right columns), respectively.

Year class

Age

Numbers

(106)

Mean weight

(g)

Biomass

(103 t)

2021

2020  

1

     194.6    

  405.8     

      40.13     

43.49    

          7.8

 

2020

2019

2

143.2   

57.5

  86.31 

  86.19   

        12.4

 

2019

2018

3

40.7

39.3

  103.31  

120.07   

         4.2

 

2018

2017

4+

58.4

67.0

169.04  

190.70  

         9.6

 

Total

stock in:

 

 

 

 

 

 

 

 

2022

2021

Total

436.9

583.9

78.38

69.26

34.2

 

 

 

8 - COMMERCIAL DEMERSAL FISH

Figures by: P. Krivosheya

In 2022 the eastern area was covered much later (covered 21/8-1/12) then the area covered by Norwegian vessels (16/8-4/10) so that the survey extended over a period of three and half months (see chapter 2). The lack of synoptic coverage and changes taking place during the survey period (e.g. migration between the western and the eastern part), may invalidate the results.  The maps shown below should therefore be viewed with caution. Different colours show the surveyed areas in the Russian and Norwegian sectors.

Indices calculated from the ecosystem survey data are used in annual assessments of cod, haddock, the deep-water redfish and Greenland halibut. However, in 2023, the assessment-working group has to decide if the lack of synoptic coverage will make the indices too uncertain. 

Data from the ecosystem survey is currently evaluated as part of the process of establishing an assessment model for the wolffish species. 
Indices (number and biomass) calculated using Biofox for main bottom species except cod and haddock are presented in Table 8.1 and 8.2.  Abundance indices by age based on the BESS data are used in annual assessments of cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) and are given in Table 8.3 and 8.4.


 

Table 8.1. Abundance (N, 106 individuals) and species biomass (B, 103 tonnes) of demersal species assessed by AFWG (except cod and haddock and not including 0-group).2018 * poor coverage in the eastern Barents Sea, indices only calculated  for saithe and redfish. Biofox calculations.

 

Saithe

Golden redfish

Deep-water redfish

Greenland halibut

Year

N

B

N

B

N

B

N

B

2004

36

40

13

9

263

104

182

39

2005

31

26

23

11

330

137

335

56

2006

28

49

16

16

526

219

430

77

2007

70

98

20

11

796

183

296

86

2008

3

7

42

17

864

96

153

76

2009

33

29

12

11

1003

213

191

90

2010

5

9

22

4

1076

112

186

150

2011

9

10

14

5

1271

105

175

88

2012

14

13

32

8

1587

196

209

86

2013

18

33

75

20

1608

256

160

94

2014

3

6

45

13

927

208

43

53

2015

105

153

9

5

894

214

79

52

2016

58

54

34

24

1527

319

82

40

2017

282

193

34

18

1705

212

134

74

2018*

30

24

73

21

1298

260

   

2019

58

80

27

21

1126

313

166

61

2020

291

301

26

8

1086

291

276

55

2021

130

151

21

14

1701

191

141

56

2022

6

14

22

8

1257

231

558

142

Mean

66

70

27

12

1086

200

211

76


 

Table 8.2. Abundance (N, 106 individuals) and species biomass (B, 103 tonnes) of abundant demersal species not assessed by AFWG (not including 0-group). 2018 * poor coverage in the eastern Barents Sea, indices not calculated. Biofox calculations.

 

Plaice

Long rough dab

Atlantic wolffish

Spotted wolffish

Northern wolffish

Year

N

B

N

B

N

B

N

B

N

B

2004

53

43

2951

306

15

7

12

31

3

26

2005

19

11

2753

272

16

6

11

26

3

26

2006

36

19

3705

378

26

11

12

46

2

19

2007

120

55

5327

505

42

11

12

42

3

25

2008

57

29

3942

477

25

14

13

51

3

22

2009

21

13

2600

299

20

8

9

47

3

31

2010

34

21

2520

356

17

17

7

37

3

25

2011

36

26

2507

322

20

13

9

47

6

42

2012

21

13

4563

584

22

9

13

83

8

45

2013

36

29

4932

565

27

30

13

84

12

52

2014

170

121

3046

413

12

12

8

51

6

34

2015

107

79

3624

438

33

37

12

86

9

63

2016

37

29

3369

402

40

24

13

40

8

51

2017

17

19

4604

538

30

29

14

63

8

63

2018*

                   

2019

146

101

3627

472

37

20

15

51

13

76

2020

94

37

3443

454

44

27

22

55

13

65

2021

195

106

3688

396

42

28

17

37

7

59

2022

242

109

3734

404

24

20

9

49

5

40

Mean

80

48

3608

421

27

18

12

51

6

42


 

Table 8.3. Bottom trawl indices (106 individuals) for cod calculated with Biofox. The indices are used in stock assessment. *adjusted for lack of coverage in the northern (2014) and eastern (2018) Barents Sea– bold: indices not used for assessment due to lack of survey coverage. 

Year/age 1 2 3 4 5 6 7 8 9 10 11 12+
2004 330.6 329.7 147.7 421.5 150.2 79.8 40.2 10.1 2.2 0.5 0.1 0.2
2005 440.7 146.6 216.6 55.8 100.9 28.0 15.6 5.7 1.2 0.5 0.1 0.1
2006 479.0 509.7 186.1 205.6 59.9 69.8 17.6 8.1 2.6 0.6 0.2 0.0
2007 333.3 505.4 586.2 159.2 79.1 24.6 26.9 6.0 2.2 0.9 0.1 0.2
2008 130.9 372.6 652.6 483.4 132.3 51.1 12.8 17.5 3.3 0.9 0.2 0.4
2009 569.7 93.5 202.3 280.6 289.6 101.7 31.9 12.7 7.3 2.6 0.8 0.5
2010 310.3 84.2 56.8 177.0 397.2 424.9 142.7 38.5 10.5 6.8 1.6 0.6
2011 509.8 160.0 123.6 101.5 240.2 300.4 178.4 32.3 7.7 1.8 1.3 0.9
2012 1454.3 255.9 229.1 146.4 70.0 150.8 165.2 84.5 12.7 4.4 1.6 2.1
2013 914.2 659.0 249.1 183.6 125.7 63.2 118.2 130.2 53.8 9.1 3.3 2.5
2014 308.2 155.1 190.0 108.6 93.9 52.8 30.4 50.2 36.3 12.1 3.4 2.4
2014 * 339.0 184.0 226.3 122.2 103.4 67.7 42.1 81.3 78.9 28.1 4.7 2.8
2015 725.3 154.0 174.4 225.2 141.3 72.6 48.6 26.2 35.3 26.6 7.9 2.7
2016 350.8 341.3 77.2 93.7 121.6 70.1 44.4 27.2 13.8 13.2 5.4 3.0
2017 757.5 260.6 375.0 141.5 104.9 120.9 62.6 28.0 11.2 6.4 4.4 7.2
2018* 2100.3 413.8 183.6 148.9 60.0 37.6 57.1 20.2 14.4 5.8 3.6 6.3
2019 560.2 475.2 416.6 232.3 215.1 76.6 42.2 44.4 16.1 4.9 2.2 2.9
2020 66.5 104.7 133.7 134.3 98.6 79.6 31.6 15.7 11.4 2.9 1.1 1.1
2021 61.2 51.8 84.0 100.0 80.3 46.2 33.6 12.5 4.7 5.0 2.4 1.4
2022 214.0 39.2 25.5 32.8 34.4 33.7 18.5 9.8 2.5 0.8 0.5 0.3

 

Table 8.4. Bottom trawl indices (106 individuals) for haddock calculated with Biofox. The indices are used in stock assessment. * indices not used for assessment due to lack of survey coverage. 

Year/age 1 2 3 4 5 6 7 8 9 10 11 12+
2004 189.0 268.5 123.4 70.3 69.1 31.5 3.0 1.7 0.0 0.1 0.0 0.1
2005 603.8 114.2 324.6 89.5 30.4 32.2 15.0 0.5 0.7 0.2 0.1 0.2
2006 2270.2 929.1 107.5 124.6 41.6 19.0 17.5 7.3 0.8 0.5 0.1 0.1
2007 988.4 1818.9 1282.9 88.5 90.4 19.2 5.9 7.1 1.9 0.9 0.2 0.2
2008 322.0 1291.9 1154.9 406.0 43.1 35.5 4.9 2.5 2.3 0.3 0.0 0.0
2009 134.8 143.8 650.7 619.1 305.9 21.0 6.5 0.9 0.5 0.0 0.0 0.0
2010 274.4 65.1 184.0 865.3 666.4 147.7 15.8 2.7 0.0 0.1 0.1 0.3
2011 105.3 113.6 40.4 73.8 392.9 301.4 37.4 3.0 0.3 0.1 0.0 0.2
2012 591.1 41.5 92.5 20.3 67.6 214.1 152.0 12.7 0.3 0.2 0.0 1.5
2013 155.9 223.0 25.8 65.2 19.6 50.8 150.1 76.4 7.0 0.4 0.0 0.2
2014 264.8 75.1 261.6 40.8 70.2 25.8 60.5 85.8 18 1.4 0.2 0.0
2015 320.0 145.2 42.1 213.6 25.1 37.1 20.6 47.9 33.8 8.6 0.2 0.2
2016 793.8 144.9 209.3 34.4 184.1 48.0 56.8 40.4 65.8 47.5 11.8 0.9
2017 935.8 189.3 70.3 70.3 11.5 20.5 4.0 4.0 5.4 4.4 4.8 0.7
2018*                        
2019 379.4 585.3 897.0 160.7 38.1 15.1 5.3 5.0 1.9 2.1 2.1 5.6
2020 26.8 57.8 204.1 341.4 58.8 4.9 2.0 0.8 0.2 0.7 0.1 0.5
2021 107.8 35.9 129.6 346.8 329.0 32.3 5.4 0.9 0.3 0.6 0.4 0.1
2022 690.2 106.6 18.7 59.4 84.6 80.2 9.5 2.2 0.0 0.0 0.2 0.0

8.1  Cod (Gadus morhua)

At the time of survey cod usually reaches the northern and eastern limits of its feeding area. In general, the cod was distributed almost over the entire area surveyed (Fig. 8.1) .

 

Distribution og cod
Figure 8.1. Distribution of cod (Gadus morhua), August-December 2022.

 

8.2  Haddock (Melanogrammus aeglefinus)

Main concentrations of haddock were found along the along Finnmark and Murman coasts, and in the south-eastern Barents Sea (Fig.8.2).

Fig 8.1 Distribution of haddock
Figure 8.2. Distribution of haddock (Melanogrammus aeglefinus), August-December 2022.

8.3  Saithe (Pollachius virens)

The ecosystem survey only covers a small part of the distribution of saithe and the data is not used for stock assessment. As in previous years, the highest catches were in the south west and along the Norwegian coast (Fig.8.3).

Fig 8.3 Distribution of saithe
Figure 8.3. Distribution of saithe (Pollachius virens), August-December 2022.

8.4  Greenland halibut (Reinhardtius hippoglossoides)

BESS covers mainly an area where young Greenland halibut is found, including nursery aresa in the northernmost part. However, in recent years larger Greenland halibut has increasingly been registered in the deep-water central parts of Barents Sea. This affects the stock indices when expressed in biomass. The BESS registrations are divided into northern (nursery) areas and southern part. Thus, two indices are estimated, each of them additionally divided by sex, based on BESS. Moreover two trawl indices from surveys that cover deeper waters than BESS, at the continental slope, are also used.

As in previous years, the Greenland halibut was observed in almost all catches in the deep areas of the Barents Sea (Fig. 8.4). Compared to last year the distribution pattern was similar. The main concentrations of G. halibut were observed around Svalbard (Spitsbergen), to the west of Franz Josef Land, and in the Bear Island Trench. Noticeably there were substantial registrations of G. halibut in an area towards the Yermak Plateau that has not been covered in previous surveys.

Fig 8.4 Distribution of greenland halibut
Figure 8.4. Distribution of Greenland halibut (Reinhardtius hippoglossoides), August-December 2022.

 

8.5  Golden redfish (Sebastes norvegicus)

Data from the ecosystem survey is not used in the assessment of golden redfish. In 2022, centres of abundance for golden redfish were observed along the coast of the Troms region in Norway and along the Murman coast, with the highest catches in the latter region (Fig. 8.5). The distribution north and west of Svalbard was very similar to 2021 and as in earlier years observations in the eastern Barents Sea, were few and of low abundance.  

Fig 8.5 Distribution of golden redfish
Figure 8.5. Distribution of golden redfish (Sebastes norvegicus), August-December 2022.​​​​​​

 

8.6  Deep-water redfish (Sebastes mentella)

Data from BESS are used in the assessment of deep-water redfish. As in previous years, deep-water redfish were only absent from an area north of Bear Island and in the south-eastern part of the Barents Sea. (Fig. 8.6). Highest catches of deep-water redfish were concentrated in the area south and southeast of Bear Island, particularly along the Bear Island Trench. Likewise high catches were recorded along the shelf break north of Bear Island and up to Svalbard. Catch weight decreased towards the eastern Barents Sea.

Fig 8.6 Distribution of deep-water redfish
Figure 8.6. Distribution of deep-water redfish (Sebastes mentella), August-December 2022.

 

8.7  Long rough dab (Hippoglossoides platessoides)

As usual, long rough dab were found in the entire area surveyed (Fig. 8.7). The highest catches were in the northern part of the surveyed area along the slopes of the Svalbard and Central Banks.

Fig 8.7 Distribution of long rough dab
Figure 8.7. Distribution of long rough dab (Hippoglossoides platessoides), August-December 2022.

 

8.8  Plaice (Pleuronectes platessa)

Plaice is mainly found in the southeastern Barents Sea. In 2022 almost the entire distribution area of plaice was covered (Fig. 8.8).

Fig 8.8 Distribution of plaice
Figure 8.8. Distribution of plaice (Pleuronectes platessa), August-December 2022.

 

8.9  Atlantic wolffish (Anarhichas lupus)

Atlantic wolffish is the most numerous of the three species of wolffishes inhabiting the Barents Sea, while due to its smaller size has the lowest biomass of the three species. Atlantic wolffish was mainly found in Atlantic water along the western coast of Svalbard (Fig. 8.9).

Fig 8.9 Distribution of Atlantic wolffish
Figure 8.9. Distribution of Atlantic wolffish (Anarhichas lupus), August-December 2022.

 

8.10  Spotted wolffish (Anarhichas minor)

In 2020 the  spotted wolffish was found along the slopes of the Svalbard and Central Banks (Fig. 8.10).

Fig 8.10 Distribution of spotted wolffish
Figure 8.10. Distribution of spotted wolffish (Anarhichas minor), August-December 2022.

 

8.11  Northern wolffish (Anarhichas denticulatus)

In 2022 Northern wolffish was distributed along the slopes of west of Svalbard, along the slopes of Hopen Trench extending into the slopes of the Central Basin in the eastern Barents Sea (Fig. 8.11).

Fig 8.11 Distribution of northern wolffish
Figure 8.11. Distribution of northern wolffish (Anarhichas denticulatus), August-December 2022.

 

9 - FISH BIODIVERSITY

9.1 Small non-target fish species 

Text: Elena Eriksen

The small non-target fish species from the BESS 2022 survey will not be ready for publication in this report. The data will be included in the BESS 2023 survey report.

 

9.2  Fish biodiversity in the demersal compartment

by Tatiana Prokhorova, Edda Johannesen, Andrej Dolgov, Rupert Wienerroither and Pavel Krivosheya

Figures by P. Krivosheya 

Norway pout (Trisopterus esmarkii). Norway pout is usually found in the western part of the ecosystem survey area, and as in the previous years the highest concentrations in 2022 were found in the Norwegian part of the area (Fig. 9.2.1). Thus, the results on the distribution of this species in 2022 is likely hardly impacted by the time differences in survey coverage in the eastern and western Barents Sea. 

Distribution of Norway pout (Trisopterus esmarkii), August -September 2021 (light-blue circles) and August-October 2022 (Norwegian vessels, light-blue circles), October-December 2022 (Russian vessel, dark-blue circles)
Figure 9.2.1. Distribution of Norway pout (Trisopterus esmarkii), August -September 2021 (light-blue circles) and August-October 2022 (Norwegian vessels, light-blue circles), October-December 2022 (Russian vessel, dark-blue circles).

 

Norway redfish (Sebastes viviparus). Norway redfish is usually found in the southwestern part of the surveyed area. Thus, the results for this species are less impacted by the gap in research time between the Russian and Norwegian zones than species with a wider distribution. 

In 2022 Norway redfish was distributed approximately in the same area as in 2021 (Fig. 9.2.2). The main concentrations of this species occurred in the south-western area of the survey along the Norwegian coast.  

Figure 9.2.2. Distribution of Norway redfish (Sebastes viviparus), August -September 2021 (orange circles) and August-October 2022 (Norwegian vessels, orange circles), October-December 2022 (Russian vessel, red circles) 
Figure 9.2.2. Distribution of Norway redfish (Sebastes viviparus), August -September 2021 (orange circles) and August-October 2022 (Norwegian vessels, orange circles), October-December 2022 (Russian vessel, red circles).

 

Thorny skate (Amblyraja radiata) and Arctic skate (Amblyraja hyperborea) were selected as indicator species to study how ecologically similar fishes from different zoogeographic groups respond to changes of their environment. Thorny skate belongs to the mainly boreal zoogeographic group and is widely distributed in the Barents Sea except the most north-eastern areas, while Arctic skate belongs to the Arctic zoogeographic group and is distributed in the cold waters of the northern area.

In 2022 thorny skate was distributed in a wide area from the north-western to the south-western and south-eastern Barents Sea where warm Atlantic and Coastal Waters dominated (Figure 9.2.3).  

Figure 9.2.3. Distribution of thorny skate (Amblyraja radiata), August -September 2021 (lorange circles) and August-October 2022 (Norwegian vessels, orange circles), October-December 2022 (Russian vessel, red circles)  
Figure 9.2.3. Distribution of thorny skate (Amblyraja radiata), August -September 2021 (orange circles) and August-October 2022 (Norwegian vessels, orange circles), October-December 2022 (Russian vessel, red circles).  

 

Only one specimen of Arctic skate was observed in 2022 (compared to six stations in 2021), (Figure 9.2.4).  It was found in 157 m depth.  

Figure 9.2.4. Distribution of Arctic skate (Amblyraja hyperborea), August -September 2021 (light-blue circles) and August-October 2022 (Norwegian vessel) 
Figure 9.2.4. Distribution of Arctic skate (Amblyraja hyperborea), August -September 2021 (light-blue circles) and August-October 2022 (Norwegian vessel).  

 

9.3  Uncommon or rare species

Text by Tatiana Prokhorova, Edda Johannesen, Andrei Dolgov, Rupert Wienerroither and Pavel Krivosheya

Figures by P. Krivosheya 

Rare or uncommon species are either species that are not caught at the Barents Sea ecosystem survey every year, or caught most years but in low numbers and with limited occurrence. Most of these species usually occur in areas adjacent to the Barents Sea and were therefore found mainly along the border of the surveyed area. Some uncommon species were also observed in the Barents Sea during the ecosystem survey in 2022 (Figure 9.3.1).  

For example, hooknose Agonus cataphractus known in coastal waters of the eastern North Atlantic and the adjacent Arctic from the British Isles northward to the southern Barents Sea and the White Sea, within the temperature range 4-12 °C (Wienerroither et al., 2011; Mecklenburg et al., 2018). During the survey 15 individuals of this species were found on 2 stations in the shallow regions in the south-eastern area of the survey (Figure 9.3.1). Hooknose was observed at 24-33 m depth and bottom temperature 3.3-3.9 °C in 2022.     

Arctic rockling Gaidropsarus argentatus is known from off southern Greenland, off Iceland and the Faroe Islands to the Norwegian coast and northward to the Barents Sea (Wienerroither et al., 2011; Mecklenburg et al., 2018). This species usually lives at depths below 500 m and prefers low temperature (around 0 °C). Accordingly, during the survey 2 individuals of this species were found on 2 stations in deepwater areas in the north (at 526 m depth) and west (at 461 m depth) of the Barents Sea (Figure 9.3.1).  

Arctic lamprey Lethenteron camtschaticum is an anadromous species known from northeastern Norway eastward to the Bering Sea, and the northwestern Pacific Ocean (Wienerroither et al., 2011. This species usually lives near the coast, but can also be found in open areas of the sea in the upper layers (Dolgov et al., 2018). This species parasitizes on various marine and freshwater fishes and is rather rare to observe. Despite Arctic lamprey was found in the southeastern part of the surveyed area only in previous years, it was found in the central part in 2022 (Figure 9.3.1). 

Figure 9.3.1. Distribution of uncommon or rare species which were found in the survey area in 2022
Figure 9.3.1. Distribution of uncommon or rare species which were found in the survey area in 2022.

 

9.4  Zoogeographic groups

Text by Tatiana Prokhorova, Edda Johannesen, Andrej Dolgov,  Rupert Wienerroither and Pavel Krivosheya

Figures by P. Krivosheya 

During the 2022 ecosystem survey in total 85 fish species from 31 families were recorded in the catches, and some specimens were only identified to genus or family level. The highest number of species were found in the families Zoarcidae (12 species), Cottidae, Gadidae, and Pleuronectidae (8 species each). All recorded species belonged to the 7 zoogeographic groups: widely distributed, south boreal, boreal, mainly boreal, Arctic-boreal, mainly Arctic and Arctic as defined by Andriashev and Chernova (1994). Mecklenburg et al. (2018) in the recent “Marine Fishes of the Arctic Region” reclassified some of the species and the zoogeographic categorisation comprises six groups: widely distributed, boreal, mainly boreal, Arctic- boreal, mainly Arctic and Arctic. We use Andriashev and Chernova classification here due to the lack of comparative studies of the old and new classification applied to the Barents Sea. Only bottom trawl data were used, and only non-commercial species were included into the analysis, both demersal (including bentho-pelagic) and pelagic (neritopelagic, epipelagic, bathypelagic) species (Andriashev and Chernova, 1994, Parin, 1968, 1988). Among the analyzed species most belong to the Arctic (27.1 %), mainly boreal (27.1 %), and boreal (22.0 %) zoogeographic groups. 

Widely distributed (only ribbon barracudina Arctozenus risso represents this group), south boreal (e.g. grey gurnard Eutrigla gurnardus, silvery pout Gadiculus argenteus, greater forkbeard Phycis blennoides) and boreal (e.g. lemon sole Microstomus kitt, stout eelblenny Anisarchus medius, silvery lightfish Maurolicus muelleri) species were mostly found in the central, southwestern and western part of the survey area where warm Atlantic and Coastal Waters dominate (Figure 9.4.1).  

Mainly boreal species (e.g. lesser sandeel Ammodytes marinus, snakeblenny Lumpenus lampretaeformis, greater eelpout Lycodes esmarkii) were widely found throughout the survey area (Figure 9.2.1).  

Arctic-boreal species (e.g. Atlantic poacher Leptagonus decagonus, ribbed sculpin Triglops pingelii) were found in the central and northern part of the Barents Sea (Figure 9.4.1).  

Mainly Arctic (e.g. Arctic flounder Liopsetta glacialis, Atlantic spiny lumpsucker Eumicrotremus spinosus, slender eelblenny Lumpenus fabricii) and Arctic (e.g. Arctic alligatorfish Aspidophoroides olrikii, pale eelpout Lycodes pallidus, leatherfin lumpsucker Eumicrotremus derjugini) species were mainly found on the northern part of the Barents Sea (Figure 9.4.1). Species of these groups mostly occur in areas influenced by cold Arctic Water, Spitsbergen Bank Water and Novaya Zemlya Coastal Water. 

Figure 9.4.1. Distribution of non-commercial fish species from different zoogeographic groups during the ecosystem survey 2021 (left) and  2022 (right). The size of circles corresponds to total abundance (individuals per nautical mile, only bottom trawl stations were used, both pelagic and demersal species are included) 
Figure 9.4.1. Distribution of non-commercial fish species from different zoogeographic groups during the ecosystem survey 2021 (left) and  2022 (right). The size of circles corresponds to total abundance (individuals per nautical mile, only bottom trawl stations were used, both pelagic and demersal species are included). 

 

References 

Dolgov, A.V., A.P. Novoselov, T.A. Prokhorova, G.V. Fuks, D.V. Prozorkevich, N.V. Chernova, V.S. Sherstkov, A.L. Levitskiy. Atlas of the Kara Sea fish. – Murmansk: PINRO, 2018. – 271 pp. (in Russian) 

Mecklenburg, C.W., A. Lynghammar, E. Johannesen, I. Byrkjedal. J.S. Christiansen, A.V. Dolgov, O.V. Karamushko, T.A. Mecklenburg, P.R. Møller, D. Steinke, and R.M. Wienerroither. 2018. Marine Fishes of the Arctic Region. Conservation of Arctic Flora and Fauna, Akureyri, Iceland. 

Wienerroither R., Johannesen E., Dolgov A., Byrkjedal I., Bjelland O., Drevetnyak K., Eriksen K.B., Høines Å., Langhelle G., Langøy H., Prokhorova T., Prozorkevich D., Wenneck T. Atlas of the Barents Sea fishes. IMR/PINRO Joint Report Series, No. 1/2011.  – 272 pp. 

10 - COMMERCIAL SHELLFISH

10.1  Northern shrimp (Pandalus borealis)

Text by: Sergei Bakanev and Carsten Hvingel

Figures by: J. Zhak

During the survey in 2022 293 trawl hauls were completed – 246 of them contained northern shrimp. The biomass of shrimp varied from several grams to 244.8 kg/nm with an average catch of 6.6±1.0 kg nm (Table 10.1.1). Average values are reported with standard error (SEM).

Table 10.1.1. The catch characteristics of the Northern shrimp (include SEM) during BESS in 2005-2022.

Year

Total number of station

Number of station with shrimp

Mean catch, ind./nml

Mean catch, kg/nml

2005

224

169

856.3±12.1

12.1±4.3

2006

637

480

3460.8±21.4

15.0±0.9

2007

551

426

2875.5±19.7

13.2±0.9

2008

431

329

1846.6±17.7

9.2±0.7

2009

378

310

1673.0±17.4

7.9±0.9

2010

319

238

2625.5±15.3

12.0±1.2

2011

391

304

2165.2±17.2

10.4±0.9

2012

443

325

2351.2±18.0

12.0±1.0

2013

487

388

1838.2±19.1

9.5±0.6

2014

165

101

1676.0±10.1

8.4±1.0

2015

334

247

1371.0±15.6

7.1±0.6

2016

317

187

1457.9±13.1

7.0±0.6

2017

339

281

2021.4±16.3

13.8±1.9

2018

217

160

1759.0±11.9

10.2±1.4

2019

323

254

1577.5±3.1

9.1±0.2

2020

461

317

717.2±77.3

4.6±0.4

2021

341

275

1487.4±68.2

7.8±0.4

2022

293

246

1175.8±177.4

  6.6±1.0

Total

7064

5154

1417.5±42.6

8.1±0.2

 

As in previous years the densest concentrations of shrimp in 2022 were registered in central part of the Barents Sea, around Svalbard (Spitsbergen) and in the Franz Victoria Trough (Fig. 10.1.1).

Ch 10.1.1. Shrimp distribution 2021, 2022
Figure 10.1.1. Distribution of the Northern shrimp (Pandalus borealis) in the Barents Sea, in the Barents Sea in August-December 2021-2022.

 

Biological analysis of the northern shrimp was conducted in 2022 by Russian scientists in the eastern part of the survey area. As in 2021, the bulk of the population of the eastern Barents Sea shrimp was made up of smaller individuals, i.e males with a carapace length of 10-25 mm in addition to females with a carapace length of 15-30 mm (Fig. 10.1.2). In 2022 proportion of males and females was almost equal.

Ch 10.1.2 northern shrimp size and sex structures 2021-2022
Figure 10.1.2. Size and sex structure of catches of the Northern shrimp (Pandalus borealis) in the eastern Barents Sea 2021-2022.

 

10.2  Red king crab (Paralithodes camtschaticus)

Text by: Aleksei Stesko and Ann Merete Hjelset

Figures by: J. Zhak

During BESS-2022 the red king crab was recorded in 23 of 293 trawl catches: in 1 station in Norwegian water and in 22 stations in Russian part of survey (Table 10.2.1). Compared to previous years, in 2022 there was not recorded any expansion of red king crab range to north or east (Fig. 10.2.1).

Despite the identical coverage of the red king crab area by stations, in 2022 compared to 2021 both the number of recording and the total catch were significantly lower (Table 10.2.1, Fig. 10.2.1).

As in previous years, the most abundant catches were recorded in Russian water near peninsula Kanin Cap.

Table 10.2.1. The total catches of the red king crab during BESS 2005-2022.

Year

Total number

of station

Number of station

 with red king crab

Total catch,

ind.

Total catch,

kg

2005

649

8

106

309

2006

550

66

1243

3350

2007

608

30

1521

3869

2008

452

10

127

93

2009

387

7

15

25

2010

331

6

12

25

2011

401

4

40

22

2012

455

8

126

308

2013

493

3

272

437

2014

304

11

168

403

2015

335

14

255

517

2016

317

11

202

552

2017

376

13

299

687

2018*

217

5

73

175

2019

323

32

1635

2897

2020

461

22

233

547

2021

341

26

373

1186

2022

293

23

306

1035

* reduced coverage of the red king crab area

 

Ch 10.2 .1 Red king crab distribution 2021-2022
Figure 10.2.1. Distribution of the red king crab (Paralithodes camtschaticus) in the Barents Sea in August-December 2021-2022.

The biomass of red king crab catches in 2022 varied from 4.8 to 548.4 kg/nm compared with 0.8 to 511.6 kg/nm in 2021. The average biomass was 54.3±27.5 kg/nm compared with 54.9±23.8 kg/nm in 2021.

The abundance of crab in 2022 ranged from 1.2 to 149.4 ind./nm given an average crab abundance of 16.1±7.6 ind./nm compared with 1.3-201.2 ind./nm and 17.3±7.7 ind./nm in 2021.

The size structure of the red king crab population in 2022 is characterized by domination of two groups of crabs with carapace width 140-170 and 190-230 mm. (Fig. 10.2.2).

Ch 10.2.2 King crab length distribution
Figure 10.2.2. Length distribution of the red king crab in the Barents Sea in August-December 2021- 2022 (by BESS data).

10.3  Snow crab (Chionoecetes opilio)

Text by: Sergei Bakanev, Aleksei Stesko and Ann Merete Hjelset

Figures by: J. Zhak

In 2022, snow crabs were recorded in 95 out of 293 trawl catches. Compared to previous year, the total catch of snow crab decreased, but also the number of stations is fewer compared with previous years. (Table 10.3.1).

During the sampling period, there have been single observations of snow crab outside central Barents Sea. In 2017 the snow crab was for the first-time recorded northwest of Svalbard (Spitsbergen). In 2018 one small male (CW= 34 mm) and weight 12 g was caught south-west of South Cap of Spitsbergen at 350 m. In 2019 and 2020 snow crab was not recorded in the water around Svalbard (Spitsbergen), however in 2021-2022 it was caught in South and the South-eastern part of Svalbard (Spitsbergen) area, but no more than 9 ind./nm. 

 Within the survey area and stations with catches of crab, the biomass per station in 2022 varied from 0.001 to 6.63 kg/nm with an average 0.671±0.1 kg/nm compared with 0.001 to 18.3 kg/nm with an average 1.3±0.1 kg/nm in 2021 (Fig. 10.3.1, Table 10.3.1).

The abundance in 2022 ranged from 1 to 382 ind./nm with an average of 12.04±3.91 ind./nm compared with 1-398 ind./nm and 19.8±0.9 ind./nm in 2021 (Fig. 10.3.1, Table 10.3.1).


 

Table 10.3.1. The total and mean (per nautical mile) catches of snow crab during BESS in 2005-2022.

Year

Total number of stations

Number of stations with snow crab

Total catch, ind.

Total catch, kg

Mean abundance,

ind./nm

Mean biomass,

kg/nm

2005

649

10

14

2.5

1

0.3

2006

550

28

68

11

3

0.5

2007

608

55

133

18

3

0.4

2008

452

76

668

69

11

1.2

2009

387

61

276

36

6

0.8

2010

331

56

437

22

10

0.5

2011

401

78

6219

154

99

2.4

2012

455

116

37072

1169

395

12.6

2013

493

131

20357

1205

210

12.7

2014

304

78

12871

658

206

10.5

2015

335

89

4245

378

57

5.2

2016

317

84

2156

137

26

1.9

2017

376

159

25878

1422

147

10.0

2018*

217

61

19494

846

393

16.7

2019*

323

87

15523

608

145

6.6

2020

461

141

4403

436

38

3.7

2021

341

105

1705

110

20

1.3

2022

293

95

891

50

12

0.7

* Some stations in the snow crab area were not surveyed in 2018 and 2019

CH 10.3.1 Distribution of snow crab, 2021-2022
Figure 10.3.1. Distribution of the snow crab (Chionoecetes opilio) in the Barents Sea in August-December 2021-2022.

The measured size composition of snow crabs caught in 2022 were dominated by females with 30-40 mm carapace width and males with carapace width 30-40 and 70-100 mm (Fig. 10.3.2 B). The size structure of snow crab catches in 2022 was very close to the structure in 2021 (Fig. 10.3.2).

Ch 10.3.1 Snow crab size and sex structure 2021-2022
Figure 10.3.2. Size and sex structure of the snow crab in the Barents Sea in August-December 2021- 2022 (by BESS data).

 

10.4  Iceland scallop ( Chlamys islandica )

Text by: Daria Y. Blinova and Lis Lindal Jørgensen

Figures by: D. Blinova

The Iceland scallop was recorded in 77 of 287 trawl catches in 2022 (Table 10.4.1). The survey showed a wide distribution of scallops in the Barents Sea. The deepest record in 2022 was at 520 m, but the most abundant catches were recorded in the shallow banks and elevations of the bottom is Spitsbergen Bank (Figure 10.4.1).

Ch 10.4.1 Iceland scallop distribution
Figure 10.4.1. Distribution of Iceland scallop (Chlamys islandica) in the Barents Sea, August-October 2021 (left) and August to December 2022 (right).

The biomass of scallops in 2022 varied from 0.3 to 2622 g/haul (0.35-2714.75 g/nml). The average biomass is 191.3±37.3 g/haul (224.8±39.9 g/nml) (table 10.4). The abundance ranged from 1 to 276 ind./haul (1-789 ind./nml). The average abundance of scallops is 27±4 ind./haul (34±6 ind./nml).


Table 10.4.1. Annual parameters of scallop population in the Barents Sea

Year

Stations (% of total)

Abundance, ind./nml

Biomass, g/nml

2011

101 (26)

35±5

1294±235

2012

146 (33)

62±7

1580±195

2013

131 (27)

115±17

8378±1359

2014*

50 (36)

29±4

812±121

2015

103 (31)

13±1

264±32

2016*

76 (24)

18±2

268±38

2017

125 (33)

82±11

1486±198

2018*

65 (30)

31±4

537±91

2019*

112 (35)

42±11

1039±334

2020

97 (23)

15±5

146±40

2021*

88 (35)

20±6

225±51

2022*

77 (27)

34±6

224.8±39.9

 * - survey area was not complete

11 - BENTHIC INVERTEBRATE COMMUNITY

Figures by: A. Kudryashova

The list of benthic experts onboard Russian and Norwegian RVs is given in Table 1 (Ch 1).

In 2021, megabenthos was recorded from 254 bottom trawl hauls across four R/Vs during the BESS in 2021. Megabenthos was processed to closest possible taxon with abundance and biomass recorded on all four ships. This was done by two benthic experts from “VNIRO”, and by seven experts from IMR. Benthos was not processed on Part 1 of R/V ”Johan Hjort” due to the absence of benthic experts onboard.

 

11.1  Species diversity

The total number of megabenthic taxa identified from the trawl-catch across all vessels is presented in Table 11.1. Detailed information about the taxonomic processing onboard the vessels are given in Table 11.2.

 
A total of 562 invertebrate taxa (382 identified to species level) was recorded in 2022, which is very close to the data of 2021, possible, due to a similar level of the station numbers (Table 11.1). In 2022 68.0 % of benthic invertebrate animals were identified to species level versus 67.1 % in 2021 (Table 11.2).


Table 11.1. The measures obtained in BESS since 2005-2022.  Pelagobenthic Pandalus borealis (Northern shrimp) are excluded from abundance and biomass values

Year

Number of stations

Total

Average abundance, ind./n.ml

Average biomass, kg/n.ml

Number

 

abundance, ind.

biomass, t

 

species

taxa

 
2005

224

83077

2.1

522.5

12.7

142

218

 

2006

637

779454

20.7

1576.0

42.1

261

388

 

2007

551

526263

18.2

1240.2

44.6

222

351

 

2008

431

757334

12.2

2183.7

35.7

157

244

 

2009

378

653918

12.3

2056.4

42.2

283

391

 

2010

319

239282

6.8

900.0

27.3

273

360

 

2011

391

1089586

10.8

3411.4

34.3

282

442

 

2012

443

3521820

42.6

9832.1

125.5

354

513

 

2013

487

1573121

27.6

3885.0

71.7

362

538

 

2014

165

390444

5.3

2806.7

36.7

220

333

 

2015

334

481602

5.3

1815.1

19.9

398

599

 

2016

317

1116405

6.8

4230.1

36.3

266

423

 

2017

339

1073697

16.2

3769.4

58.6

319

500

 

2018

217

852613

15.4

4887.8

89.2

404

574

 

2019

305

1292902

19.0

4239.0

62.5

427

621

 

2020

429

898168

10.7

1719.1

30.4

401

611

 

2021

254

212931

10.2

1076.6

50.6

384

572

 

2022

283

426850

5.8

2101.2

31.3

382

562

 

Total:

6411

15 969 467

248.0

 

 

815

1290

 

Average*:

370±32

795848±100910

13.2±1.6

2619±319

44.6±4.5

315±20

466±29

 

 * The average long-term value for the period 2006-2022 except invalid (inflated) abundance and biomass data of 2012.


 

Table 11.2. Statistics of megabenthos bycatch processing and assessment of the quality of taxonomic processing of invertebrates in the BESS 2022.

Research vessels

"G.O. Sars"

"Johan Hjort"

"Vilnyus"

Total

Number of processed hauls

64

93

126

283

Phylum

13

13

11

14

Class

28

28

20

29

Order

78

82

58

88

Family

170

179

99

211

Species

248

300

133

382

Total number of taxa

368

417

173

562

Percentage of species identification*

67.4

71.9

76.9

68.0

* calculated as quotient from division of total number of identifications till species to total number of identifications, %.

The taxonomical structure of the Barents Sea megafauna are almost identical between 2021 and 2022 (Fig. 11.1.1), despite the different interannual area coverage (Fig. 11.1.2). Mollusca had the highest number of taxa (124 taxa) followed by Arthropoda (106 taxa), and Echinodermata (89 taxa). Among the mollusks, 56 % of taxa belonged to Gastropoda (70 taxa), 31 % – to Bivalvia (39 taxa), 10 % to Cephalopoda (10 taxa) and the remaining 4 % were distributed between Solenogastres and Polyplacophora. The Arthropoda phylum were primarily presented by Malacostraca (83 taxa) and Pycnogonida (20 taxa); only 3 taxa belong to Hexanauplia and Thecostraca. Among the Echinoderms the most diverse groups was Asteroidea (43 % of taxa), Ophiuroidea (21 % of taxa) and (Holothuroidea (17 % of taxa).

Numb of benthic taxa as % distribution 2021 left and 2022 right
Figure 11.1.1. The number of taxa given as the % distribution among megabenthic phyla in the Barents Sea, August-September 2021 and August-December 2022.

The species density in the terms of the number of taxa in standard trawl catches ranged from 1 to 101 with average of 32.7±1.5 taxa per trawl-catch (versus 29.7±1.4 taxa per trawl-catch in 2021). At the significance level of 0.05, the differences between 2021 and 2022 data are statistically insignificant (p = 0.74). 

The lowest level of diversity (1-10 taxa per haul) was recorded in the south-eastern part of the survey area (Fig. 11.1.2). In north-western sector of the sea in the water around Svalbard number of megabenthic taxa reach 101 per station and practically everywhere exceeded 50 taxa per trawling (Fig. 11.1.2)

Megabenthic trawl catch in number 2020, 2021, 2022
Figure 11.1.2. The number of megabenthic taxa per trawl-catch in the Barents Sea in September-November 2020, August-September 2021 and August-December 2022.

The ten most frequently species taken by trawl in the investigated part of the Barents Sea in 2022 were the decapod crustaceans Sabinea septemcarinata (taken by 67 % of the trawl-hauls), sea stars Ctenodiscus crispatus (65 %), Pontaster tenuispinus (40 %), Henricia species (37 %) and Urasterias lincki (36 %), the brittle stars Ophiopholis aculeate (53 %), Ophiacantha bidentata (47 %), and Ophiura sarsii (40 %), soft coral Gersemia rubiformis (39 %) and polychaetes Spiochaetopterus typicus (37 %).

11.2  New species records

During the BESS 2022, twelve new species was recorded for the first time since 2005 when the ecosystem surveys started (mainly in the Norwegian part of the Barents Sea): decapod shrimp Crangon crangon, bryozoans Carbasea carbasea and Chartella papyracea, sea-squirts Rhizomolgula globularis, sea-stars Luidia sarsii and Culcitopsis borealis, bivalve mollusks Cyrtodaria kurriana and Asperarca nodulosa, gastropods mollusk Propilidium exiguum, and sponges Isodictya palmata, Hexadella dedritifera and Mellonympha mortenseni (Fig. 11.2.1).

 

Megabenthic sites of first finding 2022
Figure 11.2.1. Sites of finding of megabenthic species that has been named for the first time in 2022 in the Barents Sea and adjacent water since the beginning of the BESS (year 2005).

Records of six warm water species (Ch. papyracea, L. sarsii, C. borealis, A. nodulosa, P. exiguum, and M. mortenseni) may be a results of their spreading to the east and north due to the long warming period.  
The other new species for the BESS are already known from the Barents Sea and adjacent shelf areas according to literary and Internet sources, and can be a result of a more detailed and/or qualified species identification made by the benthos expert onboard

11.3  Abundance (number of individuals)

The number of megabenthos individuals in the trawl-catches in 2022 (excluding the pelagobenthic species Pandalus borealis) ranged from 1 to 237681 (1-333250 ind./n.ml) with an average of 1590±844 ind. per trawl-catch (2101±1182 ind./n.ml). This is 49 % more than in year 2021 (Table 11.1), what can be caused by interannual variation and difference in station coverage (Fig. 11.3.1).

The largest catch in number of individuals (237681 ind./trawl-catche), mainly consisted of sea-squirt (Ascidiacea) Rhizomolgula globularis (237430 ind./ trawl-catch) was obtained in the western part of the Barents Sea near Bear Island (75.00° N, 19.01° E) at the depth 63 m (Fig. 11.3.1). In 2020 similar extra high abundance of sea-squirts, non identified to species level, (265775 ind./trawl-catch) were recorded in the identical position (75.01° N, 18.95° E) at the depth 61 m. As in previous year, the lowest abundances (less than 50-100 ind. per hall) was recorded in the south-eastern part of the sea within the Russian part of the survey. 

Abundance og Megabenthos 2020, 2021, 2022
Figure 11.3.1. Abundance (ind./n.ml) of megabenthos (excluding Pandalus borealis) in the Barents Sea in September-November 2020, August-September 2021 and August-December 2022. Big black points in the maps of 2020 and 2022 show extremely high catches of Ascidiacea g. sp. in the 2020 and sea squirts Rhizomolgula globularis in 2022.

The mentioned extraordinary catch of sea squirts (Chordata in fig 11.2.2) in 2022 changed the distribution of abundance across the main megabenthic groups from the usual dominance of echinoderms and crustaceans to a predominance of ascidians. In 2021 the percentage between the main groups of megabenthos taxa (on the terms of abundance) corresponded to the long-term pattern (Fig. 11.3.2).

Megabenthos distriution og abundance, 2021, 2022
Figure 11.3.2. Distribution of abundance (excluding Pandalus borealis) across the main megabenthic groups (%) in the Barents Sea, August-September 2021 and August-December 2022.

The ten most abundant species (in the term of total number of individuals caught during the BESS 2022) were the sea-squirts Rhizomolgula globularis (66.0 % of total abundance) and Kukenthalia borealis (0.9 %), sea star Ctenodiscus crispatus (5.4 %), shrimp Sabinea septemcarinata (4.1 %), the brittle stars Ophiacantha bidentata (1.8 %), Ophiopholis aculeata (1.3 %), and Ophiura sarsii (1.2 %), sea urchins of genera Strongylocentrotus (in the main S. pallidus) (2.0 %), bivalve Bathyarca glacialis (1.1 %) and barnacle Balanus balanus (0.6 %).

11.4  Biomass

As in previous years, were the main part of the total biomass made up by Sponges, Echinoderms, and Crustaceans (total 94 %), but compared to 2021 had Chordata a slight increase in biomass due to the extraordinary large catch in the Bear Island Bank (Fig. 11.4.1).

Megabenthos biomass distributed across main groups
Figure 11.4.1. The distribution of biomass (excluding Pandalus borealis) across the main megabenthic groups (%) in the Barents Sea, August-September 2021 and August-December 2022.

 The megabenthos biomass taken by the trawl (excluding the semipelagic species Pandalus borealis) in 2022 varied from 0.003 to 1632 kg (0.004-2197 kg/n.ml) with an average of 21.1±6.7 kg per trawl-catch (31.3±9.7 kg/n.ml). This average is 38.1 % less than in the previous year and 31 % less than the average long-term value for the period 2006-2021 except the invalid 2012 (Table 11.1). The biomass distribution in 2022 was very close to the pattern of previous years (Fig. 11.4.2).

Megabenthos biomass distribution in 2020. 2021, 2022
Figure 11.4.2. The biomass distribution of megabenthos (excluding Pandalus borealis) in the Barents Sea in September-November 2020, August-September 2021 and August-December 2022.

 A trawl catch with biomass larger than 1-t was taken in 2022 at one station in the south-western part of the Barents Sea, from 331 m depth (Fig. 11.4.2). This haul was dominated by sponges: Geodia macandrewii (999 kg and 61.2 % of the total station biomass), G. barretti (422 kg; 26.5 %), Stelletta rhaphidiophora (88 kg; 5.4 %), Stryphnus ponderosus (30,5 kg: 1.9 %), and G. phlegrae (29,7 kg; 1.8 %). Other hot spots of biomass (more than 100 kg per trawling) was recorded in Spitsbergen Bank at the depth 93 m (dominated by 197 kg of sea-squirts Rhizomolgula globularis accounting for up to 93 % of the total biomass in the station), north of Spitsbergen (Geodia macandrewii, 90 kg; 82 %), and in the south-eastern part of the sea, north of Kanin Nos peninsula (298 kg of Paralithodes camtschaticus making up to 99,9 % of the total biomass on the station).

More than half of the megabenthic biomass (51.7 % of the total biomass of by-catches) belonged to the Geodia barretti, and G. macandrewii sponges. Other top-dominant species in biomass was crabs Paralithodes camtschaticus (17.3 % of the total biomass), sea-squirts Rhizomolgula globularis (3.3 %), sponges Stelletta rhaphidiophora (2.5 %) and Stryphnus ponderosus (1.6 %), sea stars Ctenodiscus crispatus (2.1 %), and sea-cucumber Cucumaria frondosa (1.3 %). The contribution of each of the other species did not exceed 1% of the total biomass of megabenthos bycatches.

12 - MARINE MAMMALS AND SEABIRDS

12.1  Marine mammals 

Due to lack of synchronisation between the Norwegian and Russian part of the 2022 survey, the observatiosn of sea mammals are this time presented in two suchapters, one for each sector.

12.1.1  Marine mammals observed in Norwegian sector

Text by: Nils Øien, Frederike Böhm

Figures by : F. Böhm

During BESS 2022, marine mammal observers were onboard the two vessels Johan Hjort and G.O.Sars which covered the Norwegian sector. 

 In total, 549 observations were made of groups of marine mammals, comprising altogether a minimum of 2040 individuals. There were eleven marine mammal species identified, of which eight cetacean species and three seal species. Some of the observations were not identified to species but recognized unspecified as either a large whale, dolphin, or seal. The recorded observations are listed in Table 12.x.1 and the distribution of observations by species are given in Figures 12.1.1 (toothed whales) and 12.x.2 (baleen whales). 

The dominant species during the ecosystem surveys are the baleen whales minke (Balaenoptera acutorostrata), fin (Balaenoptera physalus) and humpback whales (Megaptera novaeangliae) (Fig. 12.1.1, left). The most constrained distribution of these species is shown by humpback whales which during BESS 2022 were only observed east off Svalbard in the Hopen area and the Olga Strait where they overlap with the traditional capelin concentrations. However, both minke and fin whales are also abundant in this area. In addition, the two latter species have a wide distribution within the surveyed area. The fin whales are especially concentrated in the coastal areas off northern Norway and southwest of Spitsbergen while the minke whales appeared to be associated with the continental slopes from northern Norway to north of Spitsbergen. One blue whale was observed north of Spitsbergen. 


Table 12.1.1. Number of observations of marine mammals made from the Norwegian vessels. Also given are the minimum number of individuals in these observations and mean observed group sizes for each species recorded. 

Species Number of observations Number of individuals Group size
Unidentified large whale 12 24 2,00
Minke whale 143 152 1,06
Fin whale 105 314 2,99
Blue whale 1 1 1,00
Humpback whale 58 87 1,50
Unidentified dolphin 1 1 1,00
Harbour porpoise 7 11 1,57
Killer whale 1 2 2,00
White-beaked dolphin 217 1447 6,67
Sperm whale 4 4 1,00
       
Unidentified seal 2 2 1,00
Harp seal 1 1 1,00
Ringed seal 2 2 1,00
Walrus 6 15 2,50
Totals 549 2040  

 The occurrence of toothed whales was completely dominated by the presence of the white-beaked dolphin (Fig. 12.1.1, right). It is a very common species in the Barents Sea and has extended its distribution northwards in recent years to comprise the shelf areas of Spitsbergen and the Barents Sea north to about 78° to the east of Edgeøya. Other toothed whales observed, however in small numbers, were harbour porpoise (Phocoena phocoena), killer whale (Orcinus orca, 1 individual), and sperm whale (Physeter macrocephalus).  

 Only a few pinnipeds were observed: Harp seal (Pagophilus groenlandicus), ringed seal (Phoca hispida) and walrus (Odobenus rosmarus). The lack of seal observations during the ecosystem survey is most probably caused by ice free areas. During a whale survey in summer 2022 covering the same areas, many harp seals were registered especially in the areas of Hinlopen and the Olga Strait. 

Ch 12.1.1 Whales in Norwegian region 2022
Figure 12.1.1. Distribution of baleen whales (left)  and toothed whales (right) in BESS 2022-Norway.

 

12.1.2  Marine mammals observed in Russian sector

Text and figures by : R. Klepikovskiy

Observations of marine mammals from Russian vessel Vilnyus in the eastern Barents Sea in to 2022 were carried out in end September, end October, November and even first day of December. Due to this, the occurrence of marine mammals was significantly lower compared to observations made at standard times in August-September.

During the observations period, 4 species of marine mammals were registered, with a total number of 195 individuals. Data of observations are presented in the table 12.1.2 and in the figure 12.1.2. The most numerous species was the white-beaked dolphin who was recorded in groups of 2 to 50 individuals, mainly in areas located north of 74º N  in places of concentrations of capelin and polar cod. In addition to the white-beaked dolphin, among the toothed whales, only the harbor porpoise was observed, a group of 10 individuals of which was recorded in mid-November in the Pechora Sea on herring concentrations.

Minke whale and humpback whale have been observed among baleen whales. During the research, only 3 observations with minke whale were registered. In December, one humpback whale was recorded near the Murmansk coast.

Such common species as fin whale and killer whale were not observed.

Also this year, due to surveying in more southerly areas far from the ice, pinnipeds and polar bears (Ursus maritimus) were not observed.

 


Table 12.1.2. Number of observations of marine mammals made from the Russian vessel. Also given are the minimum number of individuals in these observations and mean observed group sizes for each species recorded.

Species Number of observations Number of individuals Group size
Minke whale 3 3 1
Humpback whale 1 1 1
White-beaked dolphin 25 181 7,2
Harbour porpoise 1 10 10
Totals 30 195  

 

Ch 12.1.2 Whales in Russian sector
Figure 12.1.2. Distribution of toothed and baleen whales in BESS 2022- Russia.

 

12.2  Seabird observations

Text and figures by: Per Fauchald

Seabird observations were carried out by standardized strip transect methodology.  Birds were counted from the vessel’s bridge while the ship was steaming at a constant speed of ca. 10 knots. All birds seen within an arc of 300 m from directly ahead to 90° to one side of the ship were counted. Counts were done only during daylight and when visibility allowed a complete overview of the transect. On GO Sars and Johan Hjort, birds following the ship i.e. “ship-followers”, were counted as point observations within the sector every ten minutes. Ship-followers included the most common gull species and Northern fulmar. On Vilnus, ship-followers were counted continuously along the transects, and by a point observation at the start of each transect. The ship-followers are attracted to the ship from surrounding areas and individual birds are likely to be counted several times. The numbers of ship-followers are therefore probably grossly over-estimated.

The Norwegian sector were covered by GO Sars and Johan Hjort in the period 16 August to 4 October. The Russian sector was covered by Vilnus in the period from 21 September to 1 December. Total transect length covered by GO Sars and Johan Hjort was 7246 km. Total transect length covered by Vilnus was 2959 km. A total of 35 624 birds belonging to 34 different species were counted. The distribution of the dominant auk species is shown in Fig 1 and the distribution of the most common gull species and Northern fulmar is shown in Fig 2. Because several seabird species migrate in and out of the Barents Sea during autumn, the time difference between the coverage of the Norwegian and Russian sectors might cause some biases in the distribution pattern shown in Figs 1 and 2.

Broadly, the distribution of the different species (Figures 12.2.1 and 12.2.2) was similar to the distribution in previous years. For the auks (Figur 12.2.1), high density of little auks (Alle alle) was found north of Spitsbergen. Thick-billed murres (Uria lomvia) were found in the northern part of the Barents Sea with the highest densities east of Spitsbergen. Atlantic puffins (Fratercula arctica) were found in the southern and western Barents Sea and common guillemots (Uria aalge) were found in the southern part of the area.  Northern fulmar (Fulmarus glacialis) and black-legged kittiwake (Rissa tridactyla) were encountered throughout the Barents Sea but with highest density in northeast (Figures 12.2.2). For the large gull species, herring gull (Larus argentatus) and great black-backed gull (Larus marinus) were found along the coast of Kola and Finnmark, while glaucous gull (Larus hyperboreus) was mainly encountered in the southeastern Barents Sea and Pechora Sea but was also present in the central and northern part of the area.


Ch 12.3.1 Density of auks along transects
Figure 12.2.1. Density of auk species along seabird transects in 2022. White-filled circles are zero density.
 

 

Ch 12.3.2 Density of gulls and fulmars along transects
Figure 12.2.2. Density of the most common gull species and Northern fulmar along seabird transects in 2022. White-filled circles are zero density. Note that because these species are attracted to and tend to follow the ship, densities are systematically over-estimated.