Projecting the impacts of climate change on skipjack tuna abundance and spatial distribution
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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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
Cites
Warming up, turning sour, losing breath: ocean biogeochemistry under global change
Gruber, N. (2011) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2011.0003 · Cited by 588 · see citing works
MUGO, R., SAITOH, S., NIHIRA, A., & KUROYAMA, T. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00552.x · Cited by 149 · cited 1× · see citing works
“These features have important effects on foraging areas of several species including tuna, (Mugo et al., 2010; Tew Kai & Marsac, 2010; Godo et al., 2012) but their influence is neglected in our simulations.”
BackgroundModelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation
Dueri, S., Faugeras, B., & Maury, O. (2012) · Ecological Modelling · doi:10.1016/j.ecolmodel.2012.02.007 · Cited by 36 · see citing works
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Global habitat preferences of commercially valuable tuna
Arrizabalaga, H., Dufour, F., Kell, L., Merino, G., Ibaibarriaga, L., Chust, G., Irigoien, X., Santiago, J., Murua, H., Fraile, I., et al. (2015) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2014.07.001 · Cited by 194 · see citing works
Large-scale distribution of tuna species in a warming ocean
Erauskin‐Extramiana, M., Arrizabalaga, H., Hobday, A. J., Cabré, A., Ibaibarriaga, L., Arregui, I., Murua, H., & Chust, G. (2019) · Global Change Biology · doi:10.1111/gcb.14630 · Cited by 176 · see citing works
Barth, J. M. I., Damerau, M., Matschiner, M., Jentoft, S., & Hanel, R. (2017) · Genome Biology and Evolution · doi:10.1093/gbe/evx067 · Cited by 62 · see citing works
“Abundance and distribution of tuna have been connected with climatic changes and weather oscillations (Kumar et al. 2014; Dueri et al. 2014), and the ongoing ocean warming may thus lead to range shifts in some populations.”
BackgroundErauskin-Extramiana, M., Chust, G., Arrizabalaga, H., Cheung, W. W. L., Santiago, J., Merino, G., & Fernandes-Salvador, J. A. (2023) · Global and Planetary Change · doi:10.1016/j.gloplacha.2023.104055 · Cited by 45 · see citing works
Muhling, B. A., Brill, R., Lamkin, J. T., Roffer, M. A., Lee, S.-K., Liu, Y., & Muller-Karger, F. (2017) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsw215 · Cited by 36 · see citing works
- 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
- ORCID
- Bopp, Laurent
- 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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