Phase Transition in a Non-Markovian Animal Exploration Model with Preferential Returns

Ohad Vilk, Daniel Campos, Vicenc Mendez, Emmanuel Lourie, Ran Nathan, Michael Assaf*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

We study a non-Markovian and nonstationary model of animal mobility incorporating both exploration and memory in the form of preferential returns. Exact results for the probability of visiting a given number of sites are derived and a practical WKB approximation to treat the nonstationary problem is developed. A mean-field version of this model, first suggested by Song et al., [Modelling the scaling properties of human mobility, Nat. Phys. 6, 818 (2010)NPAHAX1745-247310.1038/nphys1760] was shown to well describe human movement data. We show that our generalized model adequately describes empirical movement data of Egyptian fruit bats (Rousettus aegyptiacus) when accounting for interindividual variation in the population. We also study the probability of visiting any site a given number of times and derive a mean-field equation. Our analysis yields a remarkable phase transition occurring at preferential returns which scale linearly with past visits. Following empirical evidence, we suggest that this phase transition reflects a trade-off between extensive and intensive foraging modes.

Original languageEnglish
Article number148301
Number of pages7
JournalPhysical review letters
Volume128
Issue number14
DOIs
Publication statusPublished - 5 Apr 2022

Keywords

  • BEHAVIOR
  • MEMORY
  • WALKS
  • Animals
  • Movement
  • Chiroptera

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