Skilful prediction of cod stocks in the North and Barents Sea a decade in advance

Sguotti, Camilla
Årthun, Marius
Brune, Sebastian

Düsterhus, André

Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna

Schrum, Corinna

DOI: https://doi.org/10.1038/s43247-021-00207-6
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/11383
Sguotti, Camilla; Institute for Marine Ecosystem and Fisheries Science, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany
Årthun, Marius; Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Brune, Sebastian; Institute of Oceanography, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany
Düsterhus, André; Irish Climate Analysis and Research UnitS (ICARUS), Department of Geography, Maynooth University, Maynooth, Ireland
Bogstad, Bjarte; Institute of Marine Research, Bergen, Norway
Ottersen, Geir; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
Baehr, Johanna; Institute of Oceanography, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany
Schrum, Corinna; Institute of Oceanography, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany
Abstract
Reliable information about the future state of the ocean and fish stocks is necessary for informed decision-making by fisheries scientists, managers and the industry. However, decadal regional ocean climate and fish stock predictions have until now had low forecast skill. Here, we provide skilful forecasts of the biomass of cod stocks in the North and Barents Seas a decade in advance. We develop a unified dynamical-statistical prediction system wherein statistical models link future stock biomass to dynamical predictions of sea surface temperature, while also considering different fishing mortalities. Our retrospective forecasts provide estimates of past performance of our models and they suggest differences in the source of prediction skill between the two cod stocks. We forecast the continuation of unfavorable oceanic conditions for the North Sea cod in the coming decade, which would inhibit its recovery at present fishing levels, and a decrease in Northeast Arctic cod stock compared to the recent high levels.
North Sea cod stock may not recover in the decade 2020-2030 while Northeast Arctic cod biomass is also predicted to decline but will be better able to recover, according to an integration of statistical fisheries models and climate predictions
Subjects
Marine biologyOcean sciences
Physical oceanography
Projection and prediction
North Sea
Barents Sea
cod stocks