A Quantitative Framework for Identifying Patterns of Route-Use in Animal Movement Data

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2022
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Caillaud, Damien
Hirsch, Ben T.
Havmøller, Rasmus Worsøe
Havmøller, Linnea W.
Kays, Roland
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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.

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570 Biowissenschaften, Biologie
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travel routes, spatial cognition, animal movement, navigation, corridors, unsupervised clustering, routine movement, animal cognition
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ISO 690ALAVI, Shauhin, Alexander Q. VINING, Damien CAILLAUD, Ben T. HIRSCH, Rasmus Worsøe HAVMØLLER, Linnea W. HAVMØLLER, Roland KAYS, Margaret C. CROFOOT, 2022. A Quantitative Framework for Identifying Patterns of Route-Use in Animal Movement Data. In: Frontiers in Ecology and Evolution. Frontiers. 2022, 9, 743014. eISSN 2296-701X. Available under: doi: 10.3389/fevo.2021.743014
BibTex
@article{Alavi2022-01-05Quant-56428,
  year={2022},
  doi={10.3389/fevo.2021.743014},
  title={A Quantitative Framework for Identifying Patterns of Route-Use in Animal Movement Data},
  volume={9},
  journal={Frontiers in Ecology and Evolution},
  author={Alavi, Shauhin and Vining, Alexander Q. and Caillaud, Damien and Hirsch, Ben T. and Havmøller, Rasmus Worsøe and Havmøller, Linnea W. and Kays, Roland and Crofoot, Margaret C.},
  note={Article Number: 743014}
}
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