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...
Published in: | Movement Ecology |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://researchers.mq.edu.au/en/publications/9cd71a16-baa9-4d99-9b78-a09929639fe6 https://doi.org/10.1186/s40462-023-00377-2 https://research-management.mq.edu.au/ws/files/228757223/228543125.pdf http://www.scopus.com/inward/record.url?scp=85150988550&partnerID=8YFLogxK |
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ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/9cd71a16-baa9-4d99-9b78-a09929639fe6 2024-09-15T18:11:04+00:00 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 2023-03-23 application/pdf https://researchers.mq.edu.au/en/publications/9cd71a16-baa9-4d99-9b78-a09929639fe6 https://doi.org/10.1186/s40462-023-00377-2 https://research-management.mq.edu.au/ws/files/228757223/228543125.pdf http://www.scopus.com/inward/record.url?scp=85150988550&partnerID=8YFLogxK eng eng info:eu-repo/semantics/openAccess Florko , K R N , Shuert , C R , Cheung , W W L , Ferguson , S H , Jonsen , I D , Rosen , D A S , Sumaila , U R , Tai , T C , Yurkowski , D J & Auger-Méthé , M 2023 , ' Linking movement and dive data to prey distribution models : new insights in foraging behaviour and potential pitfalls of movement analyses ' , Movement Ecology , vol. 11 , no. 1 , 17 , pp. 1-14 . https://doi.org/10.1186/s40462-023-00377-2 Animal tracking Biologging Habitat selection Move-persistence mixed-effects model Movement ecology Simpson’s Diversity Index Trophic interactions article 2023 ftmacquarieunicr https://doi.org/10.1186/s40462-023-00377-2 2024-09-04T23:52:02Z 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. Article in Journal/Newspaper Hudson Bay Pusa hispida Macquarie University Research Portal Movement Ecology 11 1 |
institution |
Open Polar |
collection |
Macquarie University Research Portal |
op_collection_id |
ftmacquarieunicr |
language |
English |
topic |
Animal tracking Biologging Habitat selection Move-persistence mixed-effects model Movement ecology Simpson’s Diversity Index Trophic interactions |
spellingShingle |
Animal tracking Biologging Habitat selection Move-persistence mixed-effects model Movement ecology Simpson’s Diversity Index Trophic interactions 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 |
topic_facet |
Animal tracking Biologging Habitat selection Move-persistence mixed-effects model Movement ecology Simpson’s Diversity Index Trophic interactions |
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. |
format |
Article in Journal/Newspaper |
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. |
title |
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_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_sort |
linking movement and dive data to prey distribution models:new insights in foraging behaviour and potential pitfalls of movement analyses |
publishDate |
2023 |
url |
https://researchers.mq.edu.au/en/publications/9cd71a16-baa9-4d99-9b78-a09929639fe6 https://doi.org/10.1186/s40462-023-00377-2 https://research-management.mq.edu.au/ws/files/228757223/228543125.pdf http://www.scopus.com/inward/record.url?scp=85150988550&partnerID=8YFLogxK |
genre |
Hudson Bay Pusa hispida |
genre_facet |
Hudson Bay Pusa hispida |
op_source |
Florko , K R N , Shuert , C R , Cheung , W W L , Ferguson , S H , Jonsen , I D , Rosen , D A S , Sumaila , U R , Tai , T C , Yurkowski , D J & Auger-Méthé , M 2023 , ' Linking movement and dive data to prey distribution models : new insights in foraging behaviour and potential pitfalls of movement analyses ' , Movement Ecology , vol. 11 , no. 1 , 17 , pp. 1-14 . https://doi.org/10.1186/s40462-023-00377-2 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1186/s40462-023-00377-2 |
container_title |
Movement Ecology |
container_volume |
11 |
container_issue |
1 |
_version_ |
1810448663662559232 |