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

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 fo...

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Published in:Communications Earth & Environment
Main Authors: Koul, Vimal, Sguotti, Camilla, Årthun, Marius, Brune, Sebastian, Dusterhus, Andre, Bogstad, Bjarte, Ottersen, Geir, Baehr, Johanna, Schrum, Corinna
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/11250/2829739
https://doi.org/10.1038/s43247-021-00207-6
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spelling ftimr:oai:imr.brage.unit.no:11250/2829739 2023-05-15T14:30:23+02:00 Skilful prediction of cod stocks in the North and Barents Sea a decade in advance Koul, Vimal Sguotti, Camilla Årthun, Marius Brune, Sebastian Dusterhus, Andre Bogstad, Bjarte Ottersen, Geir Baehr, Johanna Schrum, Corinna 2021 application/pdf https://hdl.handle.net/11250/2829739 https://doi.org/10.1038/s43247-021-00207-6 eng eng EC/H2020/727890 Norges forskningsråd: 288192 Communications Earth & Environment. 2021, 2 (1), . urn:issn:2662-4435 https://hdl.handle.net/11250/2829739 https://doi.org/10.1038/s43247-021-00207-6 cristin:1951651 10 2 Communications Earth & Environment 1 Peer reviewed Journal article 2021 ftimr https://doi.org/10.1038/s43247-021-00207-6 2021-11-17T23:36:51Z 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 publishedVersion Article in Journal/Newspaper Arctic cod Arctic Barents Sea Northeast Arctic cod Institute for Marine Research: Brage IMR Arctic Barents Sea Communications Earth & Environment 2 1
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description 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 publishedVersion
format Article in Journal/Newspaper
author Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Dusterhus, Andre
Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna
Schrum, Corinna
spellingShingle Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Dusterhus, Andre
Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna
Schrum, Corinna
Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
author_facet Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Dusterhus, Andre
Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna
Schrum, Corinna
author_sort Koul, Vimal
title Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
title_short Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
title_full Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
title_fullStr Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
title_full_unstemmed Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
title_sort skilful prediction of cod stocks in the north and barents sea a decade in advance
publishDate 2021
url https://hdl.handle.net/11250/2829739
https://doi.org/10.1038/s43247-021-00207-6
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic cod
Arctic
Barents Sea
Northeast Arctic cod
genre_facet Arctic cod
Arctic
Barents Sea
Northeast Arctic cod
op_source 10
2
Communications Earth & Environment
1
op_relation EC/H2020/727890
Norges forskningsråd: 288192
Communications Earth & Environment. 2021, 2 (1), .
urn:issn:2662-4435
https://hdl.handle.net/11250/2829739
https://doi.org/10.1038/s43247-021-00207-6
cristin:1951651
op_doi https://doi.org/10.1038/s43247-021-00207-6
container_title Communications Earth & Environment
container_volume 2
container_issue 1
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