Johanna Myrseth Aarflot
Arbeidsområde
Part of my current position is connected with the CoastRISK project, a strategic institute project at the IMR where we aim to develop and implement an Integrated Ecosystem Assessment (IEA) framework for Norwegian coastal ecosystems. This work also involves case-studies designed to enhance our current understanding of ecosystems along the Norwegian coast and adjacent fjords, and conducting a risk analysis identifying present and future pressures to these systems.
I am also affiliated with the Nansen Legacy project (www.arvenetternansen.no) research focus 4 (The future Barents Sea), where my role is to develop and implement an individual-based model of Calanus glacialis in the Barents Sea ecosystem. The IBM will be a module in the NORWegian ECOlogical Model system End-To-End (NORWECOM.E2E), which already comprises several copepod and fish IBMs and gives an interesting framework for studying dynamics between key ecosystem players in the Nordic Seas.
Since 2017, I have been involved in IMR's work related to the Commicion for the Conservation of Antarctic Marine Living Resources (CCAMLR) in collaboration with other representatives from the Norwegian delegation (IMR, Norwegian Polar Institute). At present, I engage in work related to an MPA proposal outside Dronning Maud Land/Lazarev Sea, a work which is lead by the NPI.
Curriculum Vitae
WORK EXPERIENCE:
2021 - Research Scientist, Institute of Marine Research
2019 - 2021 Postdoctoral research fellow, Nansen Legacy project/Institute of Marine Research
2016 - 2019 PhD candidate, Institute of Marine Research
2013 - 2016 Consultant, Norwegian Trekking Association (Den Norske Turistforening, DNT)
2009 - 2012 HR advisor, Norsk Gjenvinning corporation
EDUCATION:
2016 - 2019 PhD in marine ecology, University of Bergen
2008 - 2009 Master in European Business (junior MBA), ESCP Europe
2006 - 2007 MSc in Fisheries Biology and Management, University of Bergen
2002 - 2005 Bachelor in General Biology, University of Bergen
PUBLICATIONS:
Planque B., Aarflot J. M., Buttay L, Carroll J., Frasner F., Hansen C., Husson B., Langangen Ø., Lindstrøm U., Pedersen T., Primicerio R., Sivel E., Skogen M. D., Strombom E., Stige L. C., Varpe Ø., Yoccoz N. G. 2022. A standard protocol for describing the evaluation of ecological models. Ecological Modelling 471, 110059. https://doi.org/10.1016/j.ecolmodel.2022.110059.
Aarflot J. M., Hjøllo S. S., Strand E., Skogen M. D. 2022. Transportation and predation control structures the distribution of a key calanoid in the Nordic Seas. Progress in Oceanography 202: 102761. doi: 10.1016/j.pocean.2022.102761
Skjoldal H. R., Aarflot J. M., Bagøien E., Skagseth Ø., Rønning J., Lien V. S. 2021. Seasonal and interannual variability in abundance and population development of Calanus finmarchicus at the western entrance to the Barents Sea, 1995-2019. Progress in Oceanography 195: 102574. https://doi.org/10.1016/j.pocean.2021.102574
Aarflot J. M., Dalpadado P. and Fiksen Ø. 2020. Foraging success in planktivorous fish increases with topographic blockage of prey distributions. Marine Ecology Progress Series 644: 129-142. doi: 10.3354/meps13343
Aarflot J. M., Aksnes D. L., Opdal A. F., Skjoldal H. R. and Fiksen Ø. 2019. Caught in broad daylight: Topographic constraints on zooplankton depth distributions. Limnology and Oceanography 64 (3): 849-859. doi: 10.1002/lno.11079.
Aarflot J. M., Skjoldal H. R., Dalpadado P., Skern-Mauritzen M. 2018. Contribution of Calanus species to the mesozooplankton biomass in the Barents Sea. ICES Journal of Marine Science 75 (7): 2342-2354. doi: 10.1093/icesjms/fsx221.
Myrseth J., Enberg K., Heino M. and Fiksen Ø. 2011. Do accurate stock estimates increase harvest and reduce variability in fisheries yield? Natural Resource Modelling 24: 222-241.
COURSES:
Jun.-Sept. 2018. Forsker Grand Prix Bergen 2018. Competition in research dissemination to the general public.
Nov. 2017 Introduction to Regression Models with Spatial and Temporal Correlation. 5 days, Highland Statistics.
Dec. 2016 Creating Scientific Illustrations . Translating research into illustrations by the use of Inkscape/Illustrator, 3 days course by ResClim UoB/Pina Kingman.
Oct. 2016 Introduction to mixed modelling and GLMM. 5 days, Highland Statistics.
Aug. 2016 Microbial Oceanography - Compexity and simplicity in microbial ecology. 5 days postgraduate course, Hjort Centre for Marine Ecosystem Dynamics.
Apr. 2016 Data exploration, regression, GLM & GAM. 5 days, Highland Statistics.
Mar. 2016 Basic R and graphs (lattice, ggplot2, ggmap). 5 days, Highland Statistics.
Publikasjoner
Vitenskapelige artikler (NVI)
2021
Seasonal and interannual variability in abundance and population development of Calanus finmarchicus at the western entrance to the Barents Sea, 1995–2019
Progress in Oceanography
195
2020
Foraging success in planktivorous fish increases with topographic blockage of prey distributions
Marine Ecology Progress Series
644
p. 129-142
2018
Caught in broad daylight: Topographic constraints of zooplankton depth distributions
Limnology and Oceanography
64
p. 849-859
2017
Contribution of Calanus to the mesozooplankton biomass in the Barents Sea
ICES Journal of Marine Science
2017
Contribution of Calanus species to the mesozooplankton biomass in the Barents Sea
ICES Journal of Marine Science
2011
Do accurate stock estimates increase harvest and reduce variability in fisheries yields?
Natural Resource Modeling
24
p. 222-241
Informasjonsmateriale
2020
Nansen Legacy research elevator pitch
Poster
2021
Cosmopolitan or endemic: on the source of Calanus glacialis in the Barents Sea ecosystem
2019
Sea-ice loss is bad news for large copepods
2017
Do predation from fish structure zooplankton communities in the Barents Sea?
Faglige foredrag
2021
The pelagic riskscape and consequences for zooplankton size along gradients of light and sea-ice in the Barents Sea
2021
Why we care about copepods
2020
Bathymetry Structures Predator-prey Dynamics between Zooplankton and Fish in Marine Pelagic Ecosystems
2019
Bathymetry structures predator-prey dynamics between zooplankton and fish in marine pelagic ecosystems
2019
Zooplankton-phytoplankton relationships in a changing climate
2019
Tips and tricks for popular science communication
2018
Verdens sterkeste dyr
2017
Contribution of Calanus to the mesozooplankton biomass in the Barents Sea
2017
Mesozooplankton in the Barents Sea: Key drivers, predation effects and impacts on fish stock productivity
2017
Zooplankton studies in the Barents Sea
Annet tidsskriftbidrag
2019
Hver sommer bader du med verdens sterkeste dyr
Aftenposten (morgenutg. : trykt utg.)
p. 16-17
Rapporter og avhandlinger
2020
Best practices for ecological model evaluation II: Workshop Report
2019
Three-dimensional zooplankton distributions seen through the lens of fish in the Barents Sea
Nyheter
Nyheter
- (23.08.2022) «Risikokartet for kysten» utvides med landbruk
- (22.06.2022) HI lanserer «Risikokartet for kysten»
- (22.07.2019) Hver sommer bader du med verdens sterkeste dyr
- (12.09.2018) Ho forskar på verdas sterkaste dyr
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