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...

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Bibliographic Details
Published in:Movement Ecology
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
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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Summary: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.