Lévy Walks Suboptimal under Predation Risk

PLoS Comput Biol. 2015 Nov 6;11(11):e1004601. doi: 10.1371/journal.pcbi.1004601. eCollection 2015 Nov.

Abstract

A key challenge in movement ecology is to understand how animals move in nature. Previous studies have predicted that animals should perform a special class of random walks, called Lévy walk, to obtain more targets. However, some empirical studies did not support this hypothesis, and the relationship between search strategy and ecological factors is still unclear. We focused on ecological factors, such as predation risk, and analyzed whether Lévy walk may not be favored. It was remarkable that the ecological factors often altered an optimal search strategy from Lévy walk to Brownian walk, depending on the speed of the predator's movement, density of predators, etc. This occurred because higher target encounter rates simultaneously led searchers to higher predation risks. Our findings indicate that animals may not perform Lévy walks often, and we suggest that it is crucial to consider the ecological context for evaluating the search strategy performed by animals in the field.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Computational Biology
  • Computer Simulation
  • Models, Biological*
  • Movement
  • Predatory Behavior / physiology*
  • Risk

Grants and funding

MSA was supported by a Research Fellowship from the Japan Society for the Promotion of Science for Young Scientists (23-10448). The study was supported in part by Research and Education Platform for Dynamic Living States from the Ministry of Education, Culture, Sports, Science and Technology, Japan. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.