Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses ...
Abstract 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...
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ftdatacite:10.6084/m9.figshare.c.6590497.v1 2024-09-15T18:11:03+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 2024 https://dx.doi.org/10.6084/m9.figshare.c.6590497.v1 https://springernature.figshare.com/collections/Linking_movement_and_dive_data_to_prey_distribution_models_new_insights_in_foraging_behaviour_and_potential_pitfalls_of_movement_analyses/6590497/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.c.6590497 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Ecology FOS: Biological sciences Collection article 2024 ftdatacite https://doi.org/10.6084/m9.figshare.c.6590497.v110.6084/m9.figshare.c.6590497 2024-09-02T08:18:07Z Abstract 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 ... Article in Journal/Newspaper Hudson Bay Pusa hispida DataCite |
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Ecology FOS: Biological sciences |
spellingShingle |
Ecology FOS: Biological sciences 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 |
Ecology FOS: Biological sciences |
description |
Abstract 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 ... |
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 ... |
publisher |
figshare |
publishDate |
2024 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.6590497.v1 https://springernature.figshare.com/collections/Linking_movement_and_dive_data_to_prey_distribution_models_new_insights_in_foraging_behaviour_and_potential_pitfalls_of_movement_analyses/6590497/1 |
genre |
Hudson Bay Pusa hispida |
genre_facet |
Hudson Bay Pusa hispida |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.c.6590497 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.c.6590497.v110.6084/m9.figshare.c.6590497 |
_version_ |
1810448661727936512 |