Literature DB >> 21632609

Assessing Lévy walks as models of animal foraging.

Alex James1, Michael J Plank, Andrew M Edwards.   

Abstract

The hypothesis that the optimal search strategy is a Lévy walk (LW) or Lévy flight, originally suggested in 1995, has generated an explosion of interest and controversy. Long-standing empirical evidence supporting the LW hypothesis has been overturned, while new models and data are constantly being published. Statistical methods have been criticized and new methods put forward. In parallel with the empirical studies, theoretical search models have been developed. Some theories have been disproved while others remain. Here, we gather together the current state of the art on the role of LWs in optimal foraging theory. We examine the body of theory underpinning the subject. Then we present new results showing that deviations from the idealized one-dimensional search model greatly reduce or remove the advantage of LWs. The search strategy of an LW with exponent μ = 2 is therefore not as robust as is widely thought. We also review the available techniques, and their potential pitfalls, for analysing field data. It is becoming increasingly recognized that there is a wide range of mechanisms that can lead to the apparent observation of power-law patterns. The consequence of this is that the detection of such patterns in field data implies neither that the foragers in question are performing an LW, nor that they have evolved to do so. We conclude that LWs are neither a universal optimal search strategy, nor are they as widespread in nature as was once thought.

Mesh:

Year:  2011        PMID: 21632609      PMCID: PMC3140726          DOI: 10.1098/rsif.2011.0200

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  42 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.  Average time spent by Lévy flights and walks on an interval with absorbing boundaries.

Authors:  S V Buldyrev; S Havlin; A Y Kazakov; M G da Luz; E P Raposo; H E Stanley; G M Viswanathan
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-09-25

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.  Movement of foraging Tundra Swans explained by spatial pattern in cryptic food densities.

Authors:  Raymond H G Klaassen; Bart A Nolet; Daniëlle Bankert
Journal:  Ecology       Date:  2006-09       Impact factor: 5.499

5.  Appetitive flight patterns of male Agrotis segetum moths over landscape scales.

Authors:  A M Reynolds; D R Reynolds; A D Smith; G P Svensson; C Löfstedt
Journal:  J Theor Biol       Date:  2006-10-14       Impact factor: 2.691

6.  Optimal search strategies for hidden targets.

Authors:  O Bénichou; M Coppey; M Moreau; P-H Suet; R Voituriez
Journal:  Phys Rev Lett       Date:  2005-05-16       Impact factor: 9.161

7.  How many animals really do the Lévy walk? Comment.

Authors:  Andy Reynolds
Journal:  Ecology       Date:  2008-08       Impact factor: 5.499

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

Authors:  A James; M J Plank; R Brown
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-11-26

9.  Efficient or inaccurate? Analytical and numerical modelling of random search strategies.

Authors:  Alex James; Jonathan W Pitchford; Michael J Plank
Journal:  Bull Math Biol       Date:  2009-11-14       Impact factor: 1.758

10.  Sampling rate and misidentification of Lévy and non-Lévy movement paths.

Authors:  Michael J Plank; Edward A Codling
Journal:  Ecology       Date:  2009-12       Impact factor: 5.499

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  26 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.  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

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.  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

5.  Unimodal and bimodal random motions of independent exponential steps.

Authors:  F Detcheverry
Journal:  Eur Phys J E Soft Matter       Date:  2014-11-24       Impact factor: 1.890

6.  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

7.  Collective foraging in heterogeneous landscapes.

Authors:  Kunal Bhattacharya; Tamás Vicsek
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

8.  Anomalous diffusion and multifractality enhance mating encounters in the ocean.

Authors:  Laurent Seuront; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

9.  Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes?

Authors:  Ulrike E Schlägel; Mark A Lewis
Journal:  J Math Biol       Date:  2016-04-20       Impact factor: 2.259

10.  Subjective expectation of rewards can change the behavior of smart but impatient foragers.

Authors:  Marcos Gomes Eleuterio da Luz; Ernesto P Raposo; Gandhimohan M Viswanathan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-21       Impact factor: 11.205

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