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Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses.
Florko, Katie R N; Shuert, Courtney R; Cheung, William W L; Ferguson, Steven H; Jonsen, Ian D; Rosen, David A S; Sumaila, U Rashid; Tai, Travis C; Yurkowski, David J; Auger-Méthé, Marie.
Afiliación
  • Florko KRN; Aquatic Ecosystem Research Laboratory, Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada. katieflorko@gmail.com.
  • Shuert CR; Department of Integrative Biology, University of Windsor, Windsor, ON, Canada.
  • Cheung WWL; Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, MB, Canada.
  • Ferguson SH; Aquatic Ecosystem Research Laboratory, Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
  • Jonsen ID; Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, MB, Canada.
  • Rosen DAS; Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada.
  • Sumaila UR; School of Natural Sciences, Macquarie University, Sydney, NSW, Australia.
  • Tai TC; Aquatic Ecosystem Research Laboratory, Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
  • Yurkowski DJ; Aquatic Ecosystem Research Laboratory, Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
  • Auger-Méthé M; Pacific Climate Impacts Consortium, University of Victoria, Victoria, BC, Canada.
Mov Ecol ; 11(1): 17, 2023 Mar 23.
Article en En | MEDLINE | ID: mdl-36959671
BACKGROUND: Animal movement data are regularly used to infer foraging behaviour and relationships to environmental characteristics, often to help identify critical habitat. To characterize foraging, movement models make a set of assumptions rooted in theory, for example, time spent foraging in an area increases with higher prey density. METHODS: We assessed the validity of these assumptions by associating horizontal movement and diving of satellite-telemetered ringed seals (Pusa hispida)-an opportunistic predator-in Hudson Bay, Canada, to modelled prey data and environmental proxies. RESULTS: Modelled prey biomass data performed better than their environmental proxies (e.g., sea surface temperature) for explaining seal movement; however movement was not related to foraging effort. Counter to theory, seals appeared to forage more in areas with relatively lower prey diversity and biomass, potentially due to reduced foraging efficiency in those areas. CONCLUSIONS: Our study highlights the need to validate movement analyses with prey data to effectively estimate the relationship between prey availability and foraging behaviour.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Mov Ecol Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Mov Ecol Año: 2023 Tipo del documento: Article País de afiliación: Canadá