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Dynamic habitat models: Using telemetry data to understand fisheries bycatch
Proceedings of the Royal Society of London B (2011)
  • R Žydelis, Duke University
  • R L Lewison, San Diego State University
  • Scott A Shaffer, San Jose State University
  • J E Moore, Duke University
  • A M Boustany, Duke University
  • J J Roberts, Duke University
  • M Sims, Duke University
  • D C Dunn, Duke University
  • B D Best, Duke University
  • Y Tremblay, University of California - Santa Cruz
  • M A Kappes, University of California - Santa Cruz
  • D C Costa, University of California - Santa Cruz
  • L D Crowder, Duke University
Abstract
Fisheries bycatch is a recognized threat to marine megafauna. Addressing bycatch of pelagic species however is challenging owing to the dynamic nature of marine environments and vagility of these organisms. In order to assess the potential for species to overlap with fisheries, we propose applying dynamic habitat models to determine relative probabilities of species occurrence for specific oceanographic conditions. We demonstrate this approach by modelling habitats for Laysan (Phoebastria immutabilis) and black-footed albatrosses (Phoebastria nigripes) using telemetry data and relating their occurrence probabilities to observations of Hawaii-based longline fisheries in 1997–2000. We found that modelled habitat preference probabilities of black-footed albatrosses were high within some areas of the fishing range of the Hawaiian fleet and such preferences were important in explaining bycatch occurrence. Conversely, modelled habitats of Laysan albatrosses overlapped little with Hawaii-based longline fisheries and did little to explain the bycatch of this species. Estimated patterns of albatross habitat overlap with the Hawaiian fleet corresponded to bycatch observations: black-footed albatrosses were more frequently caught in this fishery despite being 10 times less abundant than Laysan albatrosses. This case study demonstrates that dynamic habitat models based on telemetry data may help to project interactions with pelagic animals relative to environmental features and that such an approach can serve as a tool to guide conservation and management decisions.
Disciplines
Publication Date
2011
Publisher Statement
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Citation Information
R Žydelis, R L Lewison, Scott A Shaffer, J E Moore, et al.. "Dynamic habitat models: Using telemetry data to understand fisheries bycatch" Proceedings of the Royal Society of London B Vol. 278 Iss. 1722 (2011)
Available at: http://works.bepress.com/scott_shaffer/9/