Cited by 91Marine and fisheries researchFish Ecology and Management StudiesIchthyology and Marine Biology

Comparative influence of ocean conditions on yellowfin and Atlantic bluefin tuna catch from longlines in the Gulf of Mexico

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Teo, Steven L. H., Block, Barbara A.·2010·PLoS ONE

Abstract

Directed fishing effort for Atlantic bluefin tuna in the Gulf of Mexico (GOM), their primary spawning grounds in the western Atlantic, has been prohibited since the 1980s due to a precipitous decline of the spawning stock biomass. However, pelagic longlines targeted at other species, primarily yellowfin tuna and swordfish, continue to catch Atlantic bluefin tuna in the GOM as bycatch. Spatial and temporal management measures minimizing bluefin tuna bycatch in the GOM will likely become important in rebuilding the western Atlantic bluefin stock. In order to help inform management policy and understand the relative distribution of target and bycatch species in the GOM, we compared the spatiotemporal variability and environmental influences on the catch per unit effort (CPUE) of yellowfin (target) and bluefin tuna (bycatch). Catch and effort data from pelagic longline fisheries observers (1993-2005) and scientific tagging cruises (1998-2002) were coupled with environmental and biological data. Negative binomial models were used to fit the data for both species and Akaike's Information Criterion (corrected for small sample size) was used to determine the best model. Our results indicate that bluefin CPUE had higher spatiotemporal variability as compared to yellowfin CPUE. Bluefin CPUE increased substantially during the breeding months (March-June) and peaked in April and May, while yellowfin CPUE remained relatively high throughout the year. In addition, bluefin CPUE was significantly higher in areas with negative sea surface height anomalies and cooler sea surface temperatures, which are characteristic of mesoscale cyclonic eddies. In contrast, yellowfin CPUE was less sensitive to environmental variability. These differences in seasonal variability and sensitivity to environmental influences suggest that bluefin tuna bycatch in the GOM can be reduced substantially by managing the spatial and temporal distribution of the pelagic longline effort without substantially impacting yellowfin tuna catches.

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  • Atlantic bluefin tuna prefer negative SSH characteristic of mesoscale cyclonic eddies.

    “Results with respect to SSH were consistent with other finer scale studies suggesting Atlantic bluefin preference for negative SSH characteristic of mesoscale cyclonic eddies (Teo and Block, 2010)”

    From Global habitat preferences of commercially valuable tuna (2015) · cites this paper as Teo and Block, 2010

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Research works printed but not linked: 12

  1. [2]Lewison RL Crowder LB 2007 Putting longline bycatch of sea turtles into perspective. Conserv Biol 21 79 86 17298513
  2. [13]Magnuson JJ Block BA Deriso RB Gold JR Grant WS 1994 An Assessment of Atlantic Bluefin Tuna. Washington DC National Academy Press 148
  3. [17]Hilbe JM 2007 Negative Binomial Regression. New York Cambridge University Press 251
  4. [18]Burnham KP Anderson DR 2002 Model Selection and Multimodel Inference. New York Springer 496
  5. [19]Dietrich DE Lin CA 1994 Numerical studies of eddy shedding in the Gulf of Mexico. Journal of Geophysical Research 99 7599 7615
  6. [21]Weng KC Stokesbury MJW Boustany AM Seitz AC Teo SLH 2009 Habitat and behaviour of yellowfin tuna Thunnus albacares in the Gulf of Mexico determined using pop-up satellite archival tags. J Fish Biol 74 1434 1449 20735644
  7. [23]Russ JC 2002 The Image Processing Handbook. Boca Raton, Florida CRC Press 732
  8. [33]Venables WN Ripley BD 2002 Modern applied statistics with S. New York Springer Science+Business Media LLC 495
  9. [34]Blank JM Morrissette JM Davie PS Block BA 2002 Effects of temperature, epinephrine and Ca2+ on the hearts of yellowfin tuna (Thunnus albacares). J Exp Biol 205 1881 1888 12077164
  10. [42]Rooker JR Secor DH De Metrio G Schloesser R Block BA 2008 Natal homing and connectivity in Atlantic bluefin tuna populations. Science 322 742 744 18832611
  11. [43]Dickhut RM Deshpande AD Cincinelli A Cochran MA Corsolini S 2009 Atlantic bluefin tuna (Thunnus thynnus) population dynamics delineated by organochlorine tracers. Environ Sci Technol 43 8522 8527 20028046
  12. [45]Carlsson J McDowell JR Carlsson JEL Graves JE 2007 Genetic identity of YOY bluefin tuna from the eastern and western Atlantic spawning areas. J Hered 98 23 28 17158466

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Authors
Teo, S. L. H., & Block, B. A.
Affiliations
  • University of California, Davis (US)
  • Hopkins Marine Station (US)
Corresponding author
Teo, Steven L. H.
Venue
PLoS ONE
Published
2010-05-28
Volume
5
Issue
5
Pages
e10756
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1993634114
Cited by
91
References
5
Citations by year
2026: 4 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 3 · 2021: 10 · 2020: 3 · 2019: 7 · 2018: 8 · 2017: 6 · 2016: 4 · 2015: 8 · 2014: 4 · 2013: 6 · 2012: 5
FWCI
5.19
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Oceanic and Atmospheric Administration
  • Disney Conservation Fund
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 › Nature and Landscape Conservation › Ichthyology and Marine Biology
Keywords
Thunnus thynnus, yellowfin tuna, bycatch, pelagic longline fishery, Gulf of Mexico, catch per unit effort, spatiotemporal variation, sea level anomalies, sea surface temperature, spawning season, fisheries management, swordfish
MeSH terms
Animals, Fisheries, Geography, Mexico, Models, Theoretical, Oceans and Seas, Tuna, Ecosystem

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