Literature DB >> 20531470

Environmental context explains Lévy and Brownian movement patterns of marine predators.

Nicolas E Humphries1, Nuno Queiroz, Jennifer R M Dyer, Nicolas G Pade, Michael K Musyl, Kurt M Schaefer, Daniel W Fuller, Juerg M Brunnschweiler, Thomas K Doyle, Jonathan D R Houghton, Graeme C Hays, Catherine S Jones, Leslie R Noble, Victoria J Wearmouth, Emily J Southall, David W Sims.   

Abstract

An optimal search theory, the so-called Lévy-flight foraging hypothesis, predicts that predators should adopt search strategies known as Lévy flights where prey is sparse and distributed unpredictably, but that Brownian movement is sufficiently efficient for locating abundant prey. Empirical studies have generated controversy because the accuracy of statistical methods that have been used to identify Lévy behaviour has recently been questioned. Consequently, whether foragers exhibit Lévy flights in the wild remains unclear. Crucially, moreover, it has not been tested whether observed movement patterns across natural landscapes having different expected resource distributions conform to the theory's central predictions. Here we use maximum-likelihood methods to test for Lévy patterns in relation to environmental gradients in the largest animal movement data set assembled for this purpose. Strong support was found for Lévy search patterns across 14 species of open-ocean predatory fish (sharks, tuna, billfish and ocean sunfish), with some individuals switching between Lévy and Brownian movement as they traversed different habitat types. We tested the spatial occurrence of these two principal patterns and found Lévy behaviour to be associated with less productive waters (sparser prey) and Brownian movements to be associated with productive shelf or convergence-front habitats (abundant prey). These results are consistent with the Lévy-flight foraging hypothesis, supporting the contention that organism search strategies naturally evolved in such a way that they exploit optimal Lévy patterns.

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Year:  2010        PMID: 20531470     DOI: 10.1038/nature09116

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  15 in total

1.  Optimizing the encounter rate in biological interactions: Lévy versus Brownian strategies.

Authors:  F Bartumeus; J Catalan; U L Fulco; M L Lyra; G M Viswanathan
Journal:  Phys Rev Lett       Date:  2002-02-12       Impact factor: 9.161

2.  Helical Lévy walks: adjusting searching statistics to resource availability in microzooplankton.

Authors:  Frederic Bartumeus; Francesc Peters; Salvador Pueyo; Cèlia Marrasé; Jordi Catalan
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-17       Impact factor: 11.205

3.  Optimizing the success of random searches.

Authors:  G M Viswanathan; S V Buldyrev; S Havlin; M G da Luz; E P Raposo; H E Stanley
Journal:  Nature       Date:  1999-10-28       Impact factor: 49.962

4.  Scale-free foraging by primates emerges from their interaction with a complex environment.

Authors:  Denis Boyer; Gabriel Ramos-Fernández; Octavio Miramontes; José L Mateos; Germinal Cocho; Hernán Larralde; Humberto Ramos; Fernando Rojas
Journal:  Proc Biol Sci       Date:  2006-07-22       Impact factor: 5.349

5.  Minimizing errors in identifying Lévy flight behaviour of organisms.

Authors:  David W Sims; David Righton; Jonathan W Pitchford
Journal:  J Anim Ecol       Date:  2007-03       Impact factor: 5.091

6.  Scaling laws of marine predator search behaviour.

Authors:  David W Sims; Emily J Southall; Nicolas E Humphries; Graeme C Hays; Corey J A Bradshaw; Jonathan W Pitchford; Alex James; Mohammed Z Ahmed; Andrew S Brierley; Mark A Hindell; David Morritt; Michael K Musyl; David Righton; Emily L C Shepard; Victoria J Wearmouth; Rory P Wilson; Matthew J Witt; Julian D Metcalfe
Journal:  Nature       Date:  2008-02-28       Impact factor: 49.962

7.  Using likelihood to test for Lévy flight search patterns and for general power-law distributions in nature.

Authors:  Andrew M Edwards
Journal:  J Anim Ecol       Date:  2008-07-09       Impact factor: 5.091

8.  Ecological modelling: the mathematical mirror to animal nature.

Authors:  Mark Buchanan
Journal:  Nature       Date:  2008-06-05       Impact factor: 49.962

9.  On estimating the exponent of power-law frequency distributions.

Authors:  Ethan P White; Brian J Enquist; Jessica L Green
Journal:  Ecology       Date:  2008-04       Impact factor: 5.499

10.  Spatial scales of current speed and phytoplankton biomass fluctuations in lake tahoe.

Authors:  T M Powell; P J Richerson; T M Dillon; B A Agee; B J Dozier; D A Godden; L O Myrup
Journal:  Science       Date:  1975-09-26       Impact factor: 47.728

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  146 in total

1.  Predicting oscillatory dynamics in the movement of territorial animals.

Authors:  L Giuggioli; J R Potts; S Harris
Journal:  J R Soc Interface       Date:  2012-01-19       Impact factor: 4.118

2.  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

3.  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

4.  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

5.  Ecology: Fish in Lévy-flight foraging.

Authors:  Gandhimohan M Viswanathan
Journal:  Nature       Date:  2010-06-24       Impact factor: 49.962

6.  Sensing and decision-making in random search.

Authors:  Andrew M Hein; Scott A McKinley
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-09       Impact factor: 11.205

7.  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

8.  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

9.  Emergence of an optimal search strategy from a simple random walk.

Authors:  Tomoko Sakiyama; Yukio-Pegio Gunji
Journal:  J R Soc Interface       Date:  2013-06-26       Impact factor: 4.118

10.  Mechanistic analysis of the search behaviour of Caenorhabditis elegans.

Authors:  Liliana C M Salvador; Frederic Bartumeus; Simon A Levin; William S Ryu
Journal:  J R Soc Interface       Date:  2014-01-15       Impact factor: 4.118

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