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Understanding movements of organisms: it's time to abandon the Lévy foraging hypothesis
Author(s) -
Pyke Graham H.
Publication year - 2015
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.12298
Subject(s) - foraging , lévy flight , random walk , context (archaeology) , optimal foraging theory , forage , movement (music) , resource (disambiguation) , econometrics , ecology , computer science , mathematics , statistics , biology , paleontology , philosophy , computer network , aesthetics
Summary Interest in L évy walks within the context of movement of organisms has recently soared, with some now referring to this approach as the L évy walk/flight paradigm. The principal assumptions, taken from the world of physics, have been that organisms searching for food or some other resource adopt random walks, whereby the direction of each successive step in the walk is chosen at random from the complete circle and the length of each step, unless terminated through resource encounter, is chosen from a L évy probability distribution with a particular exponent μ. The additional assumption that organisms forage optimally, such that μ maximizes the rate of resource encounter, has led to the so‐called L évy foraging hypothesis, with many attempts to test it. However, the L évy walk model is unrealistic, especially as it omits directionality between successive steps, a typical feature of movements of individual organisms at spatial scales relevant to their movement decisions. It also results in lower foraging efficiency than other more realistic models and the evidence that organisms actually ‘do the L évy walk’ is weak to non‐existent, despite claims to the contrary. Early optimal foraging studies of movements of organisms and a new generation of movement models avoid these problems. It is therefore time to divorce the Lévy walk model from optimal foraging theory, revisit some of the early optimal foraging studies of movements and pursue the new generation of movement models. However, the L évy approach may still prove useful at relatively large spatial scales, in terms of both theory and observations, especially in relation to distribution, dispersal and other population‐level phenomena, and in this way biology, physics and mathematics may yet work well together.

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