Evidence map›Paper›PMID 40177781›Full record

ArticleGlobal change biology2025

Multiple Models of European Marine Fish Stocks: Regional Winners and Losers in a Future Climate.

Sévrine F Sailley, Ignacio A Catalan, Jurgen Batsleer, Sieme Bossier, Dimitrios Damalas, Cecilie Hansen, Martin Huret, Georg Engelhard, Katell Hammon, Susan Kay and 7 more

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sévrine F SailleyPlymouth Marine Laboratory (PML), Plymouth, UK.ORCID 0000-0003-0401-3506
Ignacio A CatalanMediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB), Esporles, Spain.
Jurgen BatsleerWageningen Marine Research, Wageningen University and Research, IJmuiden, the Netherlands.
Sieme BossierTechnical University of Denmark, National Institute for Aquatic Resources, Kongens Lyngby, Denmark.
Dimitrios DamalasHellenic Centre for Marine Research (HCMR), Anavyssos, Greece.
Cecilie HansenInstitute of Marine Research (Havforskningsinstituttet) (IMR), Bergen, Norway.
Martin HuretDECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Brest, France.
Georg EngelhardCentre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft, UK.
Katell HammonWageningen Economic Research, Wageningen University and Research, Wageningen, the Netherlands.
Susan KayPlymouth Marine Laboratory (PML), Plymouth, UK.
Francesc MaynouDepartment of Coastal Systems, Royal Netherlands Institute for Sea Research (NIOZ), Den Burg (Texel), the Netherlands.
J Rasmus NielsenTechnical University of Denmark, National Institute for Aquatic Resources, Kongens Lyngby, Denmark.
Andrés Ospina-ÁlvarezMediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB), Esporles, Spain.ORCID 0000-0003-2454-7169
John PinnegarCentre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft, UK.
Jan Jaap PoosWageningen Marine Research, Wageningen University and Research, IJmuiden, the Netherlands.
Vasiliki SgardeliHellenic Centre for Marine Research (HCMR), Anavyssos, Greece.
Myron A PeckDepartment of Coastal Systems, Royal Netherlands Institute for Sea Research (NIOZ), Den Burg (Texel), the Netherlands.

Funding

H2020 Societal Challenges 678193
6 · The paper itself

Abstract

Climate change continues to alter the productivity of commercially and culturally important fisheries with major consequences for food security and coastal economies. We provide the first, multi-model projections of changes in the distribution and productivity of 18 key fish stocks across seven European regional seas spanning the Mediterranean to the Arctic, using 11 state-of-the-art bio-ecological models. Our projections indicate species- and region-specific changes in abundance and distributions of these stocks by the mid- to late 21st century. The varied responses are caused by differences in species' physiology, regional food web dynamics, and physical habitat characteristics. Important drivers include not only warming of Europe's seas (from 1°C to 3°C in RCP 4.5, and 2°C to 4°C in RCP 8.5 by 2100) and changes in primary productivity but also oxygen-limited fish growth, changes in pH, and benthic dissolved organic carbon. Warming and altered levels of secondary production are projected to lead to declines in some stocks (Norwegian and Barents Sea herring) and increases in others (Bay of Biscay anchovy). While some temperate and cold-water stocks are projected to decline markedly in some regions (e.g., North Sea, Western Mediterranean), the immigration of species from the south and/or increase in productivity of warm-water species may offer new opportunities for fisheries. Species-level changes will likely have ecosystem-level consequences that have yet to be fully assessed, and responses in some sub-areas may be more pronounced due to local processes not captured in projections. Projections are consistent despite differences in model structures, and the results of our multi-model analysis align with other modelling exercises while delving into details often overlooked at the species or spatial level. This represents a novel approach to projecting the impacts of climate change on fisheries, which should be considered in future efforts to support climate-ready management strategies for marine fish stocks.

Indexed as

Climate ChangeFisheriesFishesModels, BiologicalModels, TheoreticalAnimalsEcosystemEuropeFood ChainPopulation Dynamicsclimate changefisheryfish stockmodel ensembleregional changespecies distribution

Identifiers

PMID40177781
PMCPMC11966357

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.