A Quantitative Framework for Identifying Patterns of Route-Use in Animal Movement Data
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Animal movement along repeatedly used, “habitual” routes could emerge from a variety of cognitive mechanisms, as well as in response to a diverse set of environmental features. Because of the high conservation value of identifying wildlife movement corridors, there has been extensive work focusing on environmental factors that contribute to the emergence of habitual routes between protected habitats. In parallel, significant work has focused on disentangling the cognitive mechanisms underlying animal route use, as such movement patterns are of fundamental interest to the study of decision making and navigation. We reviewed the types of processes that can generate routine patterns of animal movement, suggested a new methodological workflow for classifying one of these patterns—high fidelity path reuse—in animal tracking data, and compared the prevalence of this pattern across four sympatric species of frugivorous mammals in Panama. We found the highest prevalence of route-use in kinkajous, the only nocturnal species in our study, and propose that further development of this method could help to distinguish the processes underlying the presence of specific routes in animal movement data.
Originalsprog | Engelsk |
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Artikelnummer | 743014 |
Tidsskrift | Frontiers in Ecology and Evolution |
Vol/bind | 9 |
Antal sider | 16 |
ISSN | 2296-701X |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:
This work received funding from the National Science Foundation (BCS-1440755), a Packard Foundation Fellowship (2016-65130), and the Alexander von Humboldt Foundation in the framework of the Alexander von Humboldt Professorship endowed by the Federal Ministry of Education and Research awarded to MC. RH was supported by the Carlsberg Foundation (CF16-0310 and CF17-0539). LH was supported by the European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie grant agreement No. 801199. LH also received funding from the Smithsonian Tropical Research Institute Short-term Fellowship.
Publisher Copyright:
Copyright © 2022 Alavi, Vining, Caillaud, Hirsch, Havmøller, Havmøller, Kays and Crofoot.
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