Johanna Myrseth Aarflot

Telefon: 41104205

My research interests lie in the ecology and dynamics of marine ecosystems, with extra attention on the lower trophic levels (zooplankton in particular). I enjoy combining quantitative and theoretical approaches in my research, and to take a mechanistic view on biological processes for analyzing the patterns we observe (and making future predictions). In previous research (PhD) I have focused on the vertical dimension of the ocean seascape and how spatial gradients in topography and light structure trophic interactions in marine, pelagic ecosystems. My current position is as a Postdoctoral research fellow in ecosystem modelling focusing on effects of climate change on lower trophic levels in the Barents Sea ecosystem. 


(photo: Øyvind Ganesh Eknes) 




I am currently working on a 3-years Postdoctoral research fellow project (2019-2022) where the aim is to i) develop an individual based model (IBM) for Calanus glacialis ​within the NORWECOM.E2E model system, and ii) investigate the impact of expected future ocean climate conditions on lower trophic levels in the Barents Sea. 

Copepods of the genus Calanus are predominantly herbivores and dominate the zooplankton biomass in high latitude ecosystems where they form a key link between primary production and higher trophic levels. With an individual lipid content of up to 50–70 % of the body mass, these species constitute key food sources for planktivorous fish, seabirds and mammals in the Barents Sea. Climatic conditions in the Barents Sea are changing dramatically, and the sea is getting warmer. Recent studies from the Nansen Legacy project predict a complete loss of sea-ice within the year 2050. Plankton dynamics are tightly linked to ocean climate conditions, and changes at the base of the food web may propagate through the ecosystem with consequences at multiple scales. With the development of a C. glacialis ​IBM module, the NORWECOM.E2E model system will encapture the two major herbivorous zooplankton species within this ecosystem, thus enhance our ability to predict future zooplankton dynamics in a warmer Barents Sea. 


The postdoc-position is part of the Nansen Legacy project ( financed by the Norwegian Research Council. 

Curriculum Vitae


​2019 - (present) Postdoctoral research fellow, 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-konsernet



​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



​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.  



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.


Vitenskapelige artikler (NVI)


Do accurate stock estimates increase harvest and reduce variability in fisheries yields?

Johanna Myrseth, Katja Enberg, Mikko Heino, Øyvind Fiksen
Natural Resource Modeling 24 p. 222-241
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