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Skilful decadal-scale prediction of fish habitat and distribution shifts

Many fish and marine organisms are responding to our planet’s changing climate by shifting their distribution. Such shifts can drive international conflicts and are highly problematic for the communities and businesses that depend on these living marine resources. Advances in climate prediction mean...

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Autores principales: Payne, Mark R., Danabasoglu, Gokhan, Keenlyside, Noel, Matei, Daniela, Miesner, Anna K., Yang, Shuting, Yeager, Stephen G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098506/
https://www.ncbi.nlm.nih.gov/pubmed/35551195
http://dx.doi.org/10.1038/s41467-022-30280-0
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author Payne, Mark R.
Danabasoglu, Gokhan
Keenlyside, Noel
Matei, Daniela
Miesner, Anna K.
Yang, Shuting
Yeager, Stephen G.
author_facet Payne, Mark R.
Danabasoglu, Gokhan
Keenlyside, Noel
Matei, Daniela
Miesner, Anna K.
Yang, Shuting
Yeager, Stephen G.
author_sort Payne, Mark R.
collection PubMed
description Many fish and marine organisms are responding to our planet’s changing climate by shifting their distribution. Such shifts can drive international conflicts and are highly problematic for the communities and businesses that depend on these living marine resources. Advances in climate prediction mean that in some regions the drivers of these shifts can be forecast up to a decade ahead, although forecasts of distribution shifts on this critical time-scale, while highly sought after by stakeholders, have yet to materialise. Here, we demonstrate the application of decadal-scale climate predictions to the habitat and distribution of marine fish species. We show statistically significant forecast skill of individual years that outperform baseline forecasts 3–10 years ahead; forecasts of multi-year averages perform even better, yielding correlation coefficients in excess of 0.90 in some cases. We also demonstrate that the habitat shifts underlying conflicts over Atlantic mackerel fishing rights could have been foreseen. Our results show that climate predictions can provide information of direct relevance to stakeholders on the decadal-scale. This tool will be critical in foreseeing, adapting to and coping with the challenges of a changing future climate, particularly in the most ocean-dependent nations and communities.
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spelling pubmed-90985062022-05-14 Skilful decadal-scale prediction of fish habitat and distribution shifts Payne, Mark R. Danabasoglu, Gokhan Keenlyside, Noel Matei, Daniela Miesner, Anna K. Yang, Shuting Yeager, Stephen G. Nat Commun Article Many fish and marine organisms are responding to our planet’s changing climate by shifting their distribution. Such shifts can drive international conflicts and are highly problematic for the communities and businesses that depend on these living marine resources. Advances in climate prediction mean that in some regions the drivers of these shifts can be forecast up to a decade ahead, although forecasts of distribution shifts on this critical time-scale, while highly sought after by stakeholders, have yet to materialise. Here, we demonstrate the application of decadal-scale climate predictions to the habitat and distribution of marine fish species. We show statistically significant forecast skill of individual years that outperform baseline forecasts 3–10 years ahead; forecasts of multi-year averages perform even better, yielding correlation coefficients in excess of 0.90 in some cases. We also demonstrate that the habitat shifts underlying conflicts over Atlantic mackerel fishing rights could have been foreseen. Our results show that climate predictions can provide information of direct relevance to stakeholders on the decadal-scale. This tool will be critical in foreseeing, adapting to and coping with the challenges of a changing future climate, particularly in the most ocean-dependent nations and communities. Nature Publishing Group UK 2022-05-12 /pmc/articles/PMC9098506/ /pubmed/35551195 http://dx.doi.org/10.1038/s41467-022-30280-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Payne, Mark R.
Danabasoglu, Gokhan
Keenlyside, Noel
Matei, Daniela
Miesner, Anna K.
Yang, Shuting
Yeager, Stephen G.
Skilful decadal-scale prediction of fish habitat and distribution shifts
title Skilful decadal-scale prediction of fish habitat and distribution shifts
title_full Skilful decadal-scale prediction of fish habitat and distribution shifts
title_fullStr Skilful decadal-scale prediction of fish habitat and distribution shifts
title_full_unstemmed Skilful decadal-scale prediction of fish habitat and distribution shifts
title_short Skilful decadal-scale prediction of fish habitat and distribution shifts
title_sort skilful decadal-scale prediction of fish habitat and distribution shifts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098506/
https://www.ncbi.nlm.nih.gov/pubmed/35551195
http://dx.doi.org/10.1038/s41467-022-30280-0
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