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

<jats:title>Abstract</jats:title><jats:p>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 un...

Full description

Bibliographic Details
Published in:Communications Earth & Environment
Main Authors: Koul, Vimal, Sguotti, Camilla, Årthun, Marius, Brune, Sebastian, Düsterhus, André, Bogstad, Bjarte, Ottersen, Geir, Baehr, Johanna, Schrum, Corinna
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://repository.publisso.de/resource/frl:6442426
https://doi.org/10.1038/s43247-021-00207-6
id ftzbmed:oai:frl.publisso.de:frl:6442426
record_format openpolar
spelling ftzbmed:oai:frl.publisso.de:frl:6442426 2023-11-12T04:10:25+01:00 Skilful prediction of cod stocks in the North and Barents Sea a decade in advance Koul, Vimal Sguotti, Camilla Årthun, Marius Brune, Sebastian Düsterhus, André Bogstad, Bjarte Ottersen, Geir Baehr, Johanna Schrum, Corinna 2021 https://repository.publisso.de/resource/frl:6442426 https://doi.org/10.1038/s43247-021-00207-6 eng eng https://repository.publisso.de/resource/frl:6442426 https://doi.org/10.1038/s43247-021-00207-6 https://creativecommons.org/licenses/by/4.0/ http://lobid.org/resources/99370686607206441#!, 2(1):140 Article Marine biology Physical oceanography Projection and prediction Ocean sciences Zeitschriftenartikel 2021 ftzbmed https://doi.org/10.1038/s43247-021-00207-6 2023-10-22T22:06:50Z <jats:title>Abstract</jats:title><jats:p>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.</jats:p> Article in Journal/Newspaper Arctic cod Arctic Barents Sea Northeast Arctic cod PUBLISSO Fachrepositorium Lebenswissenschaften (ZB MED) Arctic Barents Sea Communications Earth & Environment 2 1
institution Open Polar
collection PUBLISSO Fachrepositorium Lebenswissenschaften (ZB MED)
op_collection_id ftzbmed
language English
topic Article
Marine biology
Physical oceanography
Projection and prediction
Ocean sciences
spellingShingle Article
Marine biology
Physical oceanography
Projection and prediction
Ocean sciences
Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Düsterhus, André
Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna
Schrum, Corinna
Skilful prediction of cod stocks in the North and Barents Sea a decade in advance
topic_facet Article
Marine biology
Physical oceanography
Projection and prediction
Ocean sciences
description <jats:title>Abstract</jats:title><jats:p>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.</jats:p>
format Article in Journal/Newspaper
author Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Düsterhus, André
Bogstad, Bjarte
Ottersen, Geir
Baehr, Johanna
Schrum, Corinna
author_facet Koul, Vimal
Sguotti, Camilla
Årthun, Marius
Brune, Sebastian
Düsterhus, André
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://repository.publisso.de/resource/frl:6442426
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 http://lobid.org/resources/99370686607206441#!, 2(1):140
op_relation https://repository.publisso.de/resource/frl:6442426
https://doi.org/10.1038/s43247-021-00207-6
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1038/s43247-021-00207-6
container_title Communications Earth & Environment
container_volume 2
container_issue 1
_version_ 1782329894132252672