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, Francesc Maynou, J.R. Nielsen, Andrés Ospina-Álvarez, John Pinnegar, Jan Jaap Poos, Vasiliki Sgardeli, Myron A. Peck

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Article numbere70149
JournalGlobal Change Biology
Volume31
Issue number4
DOIs
Publication statusPublished - Apr 2025

Keywords

  • climate change
  • fish stock
  • fishery
  • model ensemble
  • regional change
  • species distribution

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