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

Alavi, Shauhin, Vining, Alexander Q., Caillaud, Damien, Hirsch, Ben T., Havmøller, Rasmus Worsøe, Havmøller, Linnea W., Kays, Roland, and Crofoot, Margaret C. (2022) A Quantitative Framework for Identifying Patterns of Route-Use in Animal Movement Data. Frontiers in Ecology and Evolution, 9. 743014.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview
View at Publisher Website: https://doi.org/10.3389/fevo.2021.743014
 
76


Abstract

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.

Item ID: 74655
Item Type: Article (Research - C1)
ISSN: 2296-701X
Keywords: animal cognition, animal movement, corridors, navigation, routine movement, spatial cognition, travel routes, unsupervised clustering
Copyright Information: © 2022 Alavi, Vining, Caillaud, Hirsch, Havmøller, Havmøller, Kays and Crofoot. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Date Deposited: 01 Dec 2022 02:33
FoR Codes: 31 BIOLOGICAL SCIENCES > 3109 Zoology > 310901 Animal behaviour @ 40%
31 BIOLOGICAL SCIENCES > 3103 Ecology > 310301 Behavioural ecology @ 60%
Downloads: Total: 76
Last 12 Months: 54
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page