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Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses
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 ar...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037791/ https://www.ncbi.nlm.nih.gov/pubmed/36959671 http://dx.doi.org/10.1186/s40462-023-00377-2 |
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author | 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 |
author_facet | 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 |
author_sort | Florko, Katie R. N. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-023-00377-2. |
format | Online Article Text |
id | pubmed-10037791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100377912023-03-25 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 Mov Ecol Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-023-00377-2. BioMed Central 2023-03-23 /pmc/articles/PMC10037791/ /pubmed/36959671 http://dx.doi.org/10.1186/s40462-023-00377-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research 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 Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title | Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title_full | Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title_fullStr | Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title_full_unstemmed | Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title_short | Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
title_sort | linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037791/ https://www.ncbi.nlm.nih.gov/pubmed/36959671 http://dx.doi.org/10.1186/s40462-023-00377-2 |
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