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Ramírez-Mendoza Z, Sosa-Nishizaki O, Pardo MA, Herzka SZ, Wells RJD, Rooker JR, Falterman BJ, Dreyfus-León MJ. Mesoscale activity drives the habitat suitability of yellowfin tuna in the Gulf of Mexico. Sci Rep 2024; 14:8256. [PMID: 38589552 PMCID: PMC11001853 DOI: 10.1038/s41598-024-58613-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/01/2024] [Indexed: 04/10/2024] Open
Abstract
Yellowfin tuna, Thunnus albacares, represents an important component of commercial and recreational fisheries in the Gulf of Mexico (GoM). We investigated the influence of environmental conditions on the spatiotemporal distribution of yellowfin tuna using fisheries' catch data spanning 2012-2019 within Mexican waters. We implemented hierarchical Bayesian regression models with spatial and temporal random effects and fixed effects of several environmental covariates to predict habitat suitability (HS) for the species. The best model included spatial and interannual anomalies of the absolute dynamic topography of the ocean surface (ADTSA and ADTIA, respectively), bottom depth, and a seasonal cyclical random effect. High catches occurred mainly towards anticyclonic features at bottom depths > 1000 m. The spatial extent of HS was higher in years with positive ADTIA, which implies more anticyclonic activity. The highest values of HS (> 0.7) generally occurred at positive ADTSA in oceanic waters of the central and northern GoM. However, high HS values (> 0.6) were observed in the southern GoM, in waters with cyclonic activity during summer. Our results highlight the importance of mesoscale features for the spatiotemporal distribution of yellowfin tunas and could help to develop dynamic fisheries management strategies in Mexico and the U.S. for this valuable resource.
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Affiliation(s)
- Zurisaday Ramírez-Mendoza
- Fisheries Ecology Laboratory, Departamento de Oceanografía Biológica. Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), 22860, Ensenada, Baja California, Mexico
| | - Oscar Sosa-Nishizaki
- Fisheries Ecology Laboratory, Departamento de Oceanografía Biológica. Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), 22860, Ensenada, Baja California, Mexico
| | - Mario A Pardo
- Marine Macroecology Laboratory, Unidad la Paz, CICESE-Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT), 23050, La Paz, Baja California Sur, Mexico.
| | - Sharon Z Herzka
- Department of Marine Science, Marine Science Institute, University of Texas at Austin, Port Aransas, TX, 78373, USA
| | - R J David Wells
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX, 77553, USA
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, 77843, USA
| | - Jay R Rooker
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX, 77553, USA
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, 77843, USA
| | | | - Michel J Dreyfus-León
- Programa Nacional de Aprovechamiento del Atún y Protección del Delfín, CICESE, 22860, Ensenada, Baja California, Mexico
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Torres-Faurrieta LK, Dreyfus-León MJ, Rivas D. Recruitment forecasting of yellowfin tuna in the eastern Pacific Ocean with artificial neuronal networks. ECOL INFORM 2016. [DOI: 10.1016/j.ecoinf.2016.10.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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