Cited by 131Marine and fisheries researchFish Ecology and Management StudiesPhysiological and biochemical adaptations

Projecting the impacts of climate change on skipjack tuna abundance and spatial distribution

Dueri, Sibylle, Bopp, Laurent, Maury, Olivier·2014·Global Change Biology

Abstract

Climate-induced changes in the physical, chemical, and biological environment are expected to increasingly stress marine ecosystems, with important consequences for fisheries exploitation. Here, we use the APECOSM-E numerical model (Apex Predator ECOSystem Model - Estimation) to evaluate the future impacts of climate change on the physiology, spatial distribution, and abundance of skipjack tuna, the worldwide most fished species of tropical tuna. The main novelties of our approach lie in the mechanistic link between environmental factors, metabolic rates, and behavioral responses and in the fully three dimensional representation of habitat and population abundance. Physical and biogeochemical fields used to force the model are provided by the last generation of the IPSL-CM5 Earth System Model run from 1990 to 2100 under a 'business-as-usual' scenario (RCP8.5). Our simulations show significant changes in the spatial distribution of skipjack tuna suitable habitat, as well as in their population abundance. The model projects deterioration of skipjack habitat in most tropical waters and an improvement of habitat at higher latitudes. The primary driver of habitat changes is ocean warming, followed by food density changes. Our projections show an increase of global skipjack biomass between 2010 and 2050 followed by a marked decrease between 2050 and 2095. Spawning rates are consistent with population trends, showing that spawning depends primarily on the adult biomass. On the other…

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Crossref · 10.1111/gcb.12460

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  • Biophysical models integrate, in addition to data on physical habitat, biological dynamics (e.g., movement) that can concentrate the distribution of the population with respect to that of suitable habitat.

    “However, another important difference is that biophysical models integrate, in addition to data on the physical habitat, biological dynamics (e.g.movement) that can concentrate the distribution of the population with respect to that of the suitable habitat (Dueri et al 2014).”

    From Global habitat preferences of commercially valuable tuna (2015) · cites this paper as Dueri et al 2014

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Authors
Dueri, S., Bopp, L., & Maury, O.
Affiliations
  • Institut de Recherche pour le Développement (FR)
  • Centre National de la Recherche Scientifique (FR)
  • UMR 212 EME IRD (Institut de Recherche pour le Développement) Sète France
Corresponding author
Dueri, Sibylle
Venue
Global Change Biology
Publisher
Wiley
Published
2014-01-26
Volume
20
Issue
3
Pages
742-753
ISSN
  • 1354-1013 (ISSN-L)
  • 1365-2486
OpenAlex
W2142162210
Cited by
131
References
3
Citations by year
2026: 6 · 2025: 14 · 2024: 8 · 2023: 23 · 2022: 9 · 2021: 16 · 2020: 5 · 2019: 14 · 2018: 5 · 2017: 10 · 2016: 11 · 2015: 6 · 2014: 4
FWCI
5.32
Type
journal article
Language
en
Open access
closed
Locations
  • Global Change Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Agence Nationale de la Recherche
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
  • Physical Sciences › Environmental Science › Ecology › Physiological and biochemical adaptations
Keywords
skipjack tuna, yellowfin tuna, climate change impacts, population abundance, spatial distribution, suitable habitat, ocean warming, food availability, metabolic rate, fish physiology, spawning rate, growth rate, tropical tuna fisheries, RCP8.5 projections
MeSH terms
Animals, Models, Theoretical, Population Density, Population Dynamics, Tuna, Ecosystem, Climate Change

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