Ergodicity Breaking in Area-Restricted Search of Avian Predators

Ohad Vilk, Yotam Orchan, Motti Charter, Nadav Ganot, Sivan Toledo, Ran Nathan, Michael Assaf

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Quantifying and comparing patterns of dynamical ecological systems requires averaging over measurable quantities. For example, to infer variation in movement and behavior, metrics such as step length and velocity are averaged over large ensembles. Yet, in nonergodic systems, such averaging is inconsistent; thus, identifying ergodicity breaking is essential in ecology. Using rich, high-resolution, movement data sets (greater than 7×107 localizations) from 70 individuals and continuous-time random walk modeling, we find subdiffusive behavior and ergodicity breaking in the localized movement of three species of avian predators. Small-scale, within-patch movement was found to be qualitatively different, not inferrable and separated from large-scale interpatch movement. Local search is characterized by long, power-law-distributed waiting times with a diverging mean, giving rise to ergodicity breaking in the form of considerable variability uniquely observed at this scale. This implies that wild animal movement is scale specific, with no typical waiting time at the local scale.

Original languageAmerican English
Article number031005
JournalPhysical Review X
Volume12
Issue number3
DOIs
StatePublished - Jul 2022

Bibliographical note

Publisher Copyright:
© 2022 authors. Published by the American Physical Society.

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