Literature DB >> 19449680

The Lévy flight paradigm: random search patterns and mechanisms.

A M Reynolds1, C J Rhodes.   

Abstract

Over recent years there has been an accumulation of evidence from a variety of experimental, theoretical, and field studies that many organisms use a movement strategy approximated by Lévy flights when they are searching for resources. Lévy flights are random movements that can maximize the efficiency of resource searches in uncertain environments. This is a highly significant finding because it suggests that Lévy flights provide a rigorous mathematical basis for separating out evolved, innate behaviors from environmental influences. We discuss recent developments in random-search theory, as well as the many different experimental and data collection initiatives that have investigated search strategies. Methods for trajectory construction and robust data analysis procedures are presented. The key to prediction and understanding does, however, lie in the elucidation of mechanisms underlying the observed patterns. We discuss candidate neurological, olfactory, and learning mechanisms for the emergence of Lévy flight patterns in some organisms, and note that convergence of behaviors along such different evolutionary pathways is not surprising given the energetic efficiencies that Lévy flight movement patterns confer.

Mesh:

Year:  2009        PMID: 19449680     DOI: 10.1890/08-0153.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  50 in total

1.  Fitness-maximizing foragers can use information about patch quality to decide how to search for and within patches: optimal Levy walk searching patterns from optimal foraging theory.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2012-01-18       Impact factor: 4.118

2.  Brownian motion or Lévy walk? Stepping towards an extended statistical mechanics for animal locomotion.

Authors:  Arild O Gautestad
Journal:  J R Soc Interface       Date:  2012-03-28       Impact factor: 4.118

3.  Bridging the gulf between correlated random walks and Lévy walks: autocorrelation as a source of Lévy walk movement patterns.

Authors:  Andy M Reynolds
Journal:  J R Soc Interface       Date:  2010-07-14       Impact factor: 4.118

4.  Foraging theory upscaled: the behavioural ecology of herbivore movement.

Authors:  N Owen-Smith; J M Fryxell; E H Merrill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-27       Impact factor: 6.237

5.  From moonlight to movement and synchronized randomness: Fourier and wavelet analyses of animal location time series data.

Authors:  Leo Polansky; George Wittemyer; Paul C Cross; Craig J Tambling; Wayne M Getz
Journal:  Ecology       Date:  2010-05       Impact factor: 5.499

6.  Extending Lévy search theory from one to higher dimensions: Lévy walking favours the blind.

Authors:  A M Reynolds
Journal:  Proc Math Phys Eng Sci       Date:  2015-07-08       Impact factor: 2.704

7.  A framework for analyzing the robustness of movement models to variable step discretization.

Authors:  Ulrike E Schlägel; Mark A Lewis
Journal:  J Math Biol       Date:  2016-02-06       Impact factor: 2.259

Review 8.  Assessing Lévy walks as models of animal foraging.

Authors:  Alex James; Michael J Plank; Andrew M Edwards
Journal:  J R Soc Interface       Date:  2011-06-01       Impact factor: 4.118

9.  Phylogeography takes a relaxed random walk in continuous space and time.

Authors:  Philippe Lemey; Andrew Rambaut; John J Welch; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-03-04       Impact factor: 16.240

10.  Truncated Lévy walks are expected beyond the scale of data collection when correlated random walks embody observed movement patterns.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2011-08-10       Impact factor: 4.118

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