Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models

Arnaud Grüss, Michael D. Drexler, Cameron H. Ainsworth, Jason J. Roberts, Ruth H. Carmichael, Nathan F. Putman, Paul M. Richards, Emily Chancellor, Elizabeth A Babcock, Matthew S. Love

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Ecosystem-based fisheries management (EBFM) is gaining traction worldwide, including in the Gulf of Mexico (GOM). Ecosystem models, such as applications of the Atlantis and Ecospace modeling approaches, are key tools for assisting EBFM. Patterns of spatial overlap between exploited fish species, other species of concern such as marine mammals and sea turtles, and human activities can have a large influence on the predictions made by ecosystem models, but these patterns are usually not well defined. We developed methods for producing distribution maps for the cetacean, sirenian, and sea turtle groups represented in the Atlantis model of the GOM, and employed a method, initially designed for fish and invertebrates, for generating preference functions for the dolphin species represented in the Ecospace model of the West Florida Shelf. Preference functions specify the preferences of species for certain environmental conditions and are used by Ecospace to allocate species biomasses in space. We also took advantage of our mapping outputs to estimate the percentage of spatial overlap between the hotspots of cetaceans and sea turtles in the US GOM and their areas of bycatch in the US pelagic longline fishery. The present study provides new insights into the spatial distribution patterns of marine mammals and sea turtles in the GOM large marine ecosystem, including the first quantitatively supported maps of Florida manatee (sirenian) distribution along the entire US GOM coast. Efforts such as ours should be continued for improving the reliability of ecosystem models and, thereby, advancing EBFM worldwide.

Original languageEnglish (US)
Pages (from-to)255-274
Number of pages20
JournalMarine Ecology Progress Series
Volume602
DOIs
StatePublished - Aug 23 2018

Fingerprint

sea turtles
marine mammal
marine mammals
turtle
Gulf of Mexico
ecosystems
ecosystem
biomass
sirenian
fishery management
fisheries management
cetacean
pelagic fishery
bycatch
dolphin
fish
dolphins
marine ecosystem
sea
allocation

Keywords

  • Cetaceans
  • Distribution maps
  • Ecosystem models
  • Ecosystem-based fisheries management
  • Florida manatee
  • Gulf of Mexico
  • Preference functions
  • Sea turtles

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology

Cite this

Grüss, A., Drexler, M. D., Ainsworth, C. H., Roberts, J. J., Carmichael, R. H., Putman, N. F., ... Love, M. S. (2018). Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models. Marine Ecology Progress Series, 602, 255-274. https://doi.org/10.3354/meps12640

Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models. / Grüss, Arnaud; Drexler, Michael D.; Ainsworth, Cameron H.; Roberts, Jason J.; Carmichael, Ruth H.; Putman, Nathan F.; Richards, Paul M.; Chancellor, Emily; Babcock, Elizabeth A; Love, Matthew S.

In: Marine Ecology Progress Series, Vol. 602, 23.08.2018, p. 255-274.

Research output: Contribution to journalArticle

Grüss, A, Drexler, MD, Ainsworth, CH, Roberts, JJ, Carmichael, RH, Putman, NF, Richards, PM, Chancellor, E, Babcock, EA & Love, MS 2018, 'Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models', Marine Ecology Progress Series, vol. 602, pp. 255-274. https://doi.org/10.3354/meps12640
Grüss, Arnaud ; Drexler, Michael D. ; Ainsworth, Cameron H. ; Roberts, Jason J. ; Carmichael, Ruth H. ; Putman, Nathan F. ; Richards, Paul M. ; Chancellor, Emily ; Babcock, Elizabeth A ; Love, Matthew S. / Improving the spatial allocation of marine mammal and sea turtle biomasses in spatially explicit ecosystem models. In: Marine Ecology Progress Series. 2018 ; Vol. 602. pp. 255-274.
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