Literature DB >> 21797153

Overturning conclusions of Lévy flight movement patterns by fishing boats and foraging animals.

Andrew M Edwards1.   

Abstract

A surprisingly diverse variety of foragers have previously been concluded to exhibit movement patterns known as Lévy flights, a special type of random walk. These foragers range in size from microzooplankton in experiments to fishermen in the Pacific Ocean and the North Sea. The Lévy flight conclusion implies that all the foragers have similar scale-free movement patterns that can be described by a single dimensionless parameter, the exponent micro of a power-law (Pareto) distribution. However, the previous conclusions have been made using methods that have since been shown to be problematic: inaccurate techniques were used to estimate micro, and the power-law distribution was usually assumed to hold without testing any alternative hypotheses. Therefore, I address the open question of whether the previous data still support the Lévy flight hypothesis, and thus determine whether Lévy flights really are so ubiquitous in ecology. I present a comprehensive reanalysis of 17 data sets from seven previous studies for which Lévy flight behavior had been concluded, covering marine, terrestrial, and experimental systems from four continents. I use the modern likelihood and Akaike weights approach to test whether simple alternative models are more supported by the data than Lévy flights. The previously estimated values of the power-law exponent micro do not match those calculated here using the accurate likelihood approach, and almost all of them lie outside of the likelihood-based 95% confidence intervals. Furthermore, the original power-law Lévy flight model is overwhelmingly rejected for 16 out of the 17 data sets when tested against three other simple models. For one data set, the data are consistent with coming from a bounded power-law distribution (a truncated Lévy flight). For three other data sets, an exponential distribution corresponding to a simple Poisson process is suitable. Thus, Lévy flight movement patterns are not the common phenomena that was once thought, and are not suitable for use as ecosystem indicators for fisheries management, as has been proposed.

Mesh:

Year:  2011        PMID: 21797153     DOI: 10.1890/10-1182.1

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


  34 in total

1.  Foraging success of biological Lévy flights recorded in situ.

Authors:  Nicolas E Humphries; Henri Weimerskirch; Nuno Queiroz; Emily J Southall; David W Sims
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-23       Impact factor: 11.205

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.  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

4.  Scaling law in free walking of mice in circular open fields of various diameters.

Authors:  Hiroto Shoji
Journal:  J Biol Phys       Date:  2016-01-18       Impact factor: 1.365

5.  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 6.  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

7.  Experimental evidence for inherent Lévy search behaviour in foraging animals.

Authors:  Andrea Kölzsch; Adriana Alzate; Frederic Bartumeus; Monique de Jager; Ellen J Weerman; Geerten M Hengeveld; Marc Naguib; Bart A Nolet; Johan van de Koppel
Journal:  Proc Biol Sci       Date:  2015-05-22       Impact factor: 5.349

8.  Lévy flight movement patterns in marine predators may derive from turbulence cues.

Authors:  A M Reynolds
Journal:  Proc Math Phys Eng Sci       Date:  2014-11-08       Impact factor: 2.704

Review 9.  Path integration, views, search, and matched filters: the contributions of Rüdiger Wehner to the study of orientation and navigation.

Authors:  Ken Cheng; Cody A Freas
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-02-07       Impact factor: 1.836

10.  Prey field switching based on preferential behaviour can induce Lévy flights.

Authors:  Mathieu G Lundy; Alan Harrison; Daniel J Buckley; Emma S Boston; David d Scott; Emma C Teeling; W Ian Montgomery; Jonathan D R Houghton
Journal:  J R Soc Interface       Date:  2012-11-08       Impact factor: 4.118

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