2003
DOI: 10.1103/physrevlett.91.240601
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Dynamical Robustness of Lévy Search Strategies

Abstract: We study the role of dynamical constraints in the general problem of finding the best statistical strategy for random searching when the targets can be detected only in the limited vicinity of the searcher. We find that the optimal search strategy depends strongly on the delay time tau during which a previously visited site becomes unavailable. We also find that the optimal search strategy is always described for large step lengths l by a power-law distribution P(l) approximately l(-mu), with 1 Show more

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Cited by 108 publications
(111 citation statements)
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“…This model receives support from recent theoretical and empirical ecological research (34,35), which shows that across species, optimal search strategies, and hence patch residence times, are influenced heavily not only by environmental productivity, but also by the regeneration rates of key prey species. In patches where prey regeneration rates are fast, foragers can reuse habitats regularly because of the rapid restocking of prey, whereas in patches where prey regeneration rates are long to infinite (i.e., where foraging causes local extirpation of prey) optimal search strategies become linear (34,35), leading to high levels of mobility and the utilization of large foraging areas.…”
Section: Discussionmentioning
confidence: 97%
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“…This model receives support from recent theoretical and empirical ecological research (34,35), which shows that across species, optimal search strategies, and hence patch residence times, are influenced heavily not only by environmental productivity, but also by the regeneration rates of key prey species. In patches where prey regeneration rates are fast, foragers can reuse habitats regularly because of the rapid restocking of prey, whereas in patches where prey regeneration rates are long to infinite (i.e., where foraging causes local extirpation of prey) optimal search strategies become linear (34,35), leading to high levels of mobility and the utilization of large foraging areas.…”
Section: Discussionmentioning
confidence: 97%
“…In patches where prey regeneration rates are fast, foragers can reuse habitats regularly because of the rapid restocking of prey, whereas in patches where prey regeneration rates are long to infinite (i.e., where foraging causes local extirpation of prey) optimal search strategies become linear (34,35), leading to high levels of mobility and the utilization of large foraging areas. Another, although not necessarily mutually exclusive, hypothesis suggests that colonizing populations followed least-cost pathways into the lower continent, where movement occurred rapidly either through favorable corridors, such as river drainages, or across areas of relatively homogenous topography (4,27).…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, Lévy searches with μ ∼2 are optimal for a very broad range of target densities and distributions (9). In the very low-density regime, Lévy strategies remain the optimal solution with the optimal exponent 1 < μ opt ≤ 2 dependent on specific environmental properties, such as the degree of spatial landscape heterogeneity or temporal target revisitability (10,11). Consequently, optimal Lévy searches result in more predictable target encounters during foraging in otherwise unpredictable environments (9).…”
mentioning
confidence: 99%
“…Benhamou, 2007;Oshanin et al, 2009;Plank and James, 2008;Plank and Codling, 2009;Raposo et al, 2003;Reynolds and Bartumeus, 2009;Reynolds and Rhodes, 2009), yet burgeoning empirical evidence of Lévy patterns in recorded animal movements (de Jager et al, 2011;Humphries et al, 2012;Humphries et al, 2010;López-López et al, 2013;Sims et al, 2012;Sims et al, 2008). Consequently, it seems appropriate to present a thorough exploration of Lévy walks as a foraging strategy with the aim of clarifying the conditions under which a Lévy walk provides an advantageous search pattern and gaining a better understanding of when such patterns might be observed in free-ranging animals.…”
Section: Introductionmentioning
confidence: 99%