Literature DB >> 25835600

Liberating Lévy walk research from the shackles of optimal foraging.

Andy Reynolds1.   

Abstract

There is now compelling evidence that many organisms have movement patterns that can be described as Lévy walks, or Lévy flights. Lévy movement patterns have been identified in cells, microorganisms, molluscs, insects, reptiles, fish, birds and even human hunter-gatherers. Most research into Lévy walks as models of organism movement patterns has been shaped by the 'Lévy flight foraging hypothesis'. This states that, since Lévy walks can optimize search efficiencies, natural selection should lead to adaptations that select  for Lévy walk foraging. However, a growing body of research on generative mechanisms suggests that Lévy walks can arise freely as by-products of otherwise innocuous behaviours; consequently their advantageous properties are purely coincidental. This suggests that the Lévy flight foraging hypothesis should be amended, or even replaced, by a simpler and more general hypothesis. This new hypothesis would state that 'Lévy walks emerge spontaneously and naturally from innate behaviours and innocuous responses to the environment but, if advantageous, then there could be selection against losing them'. The new hypothesis has the virtue of making fewer assumptions and being broader than the original hypothesis; it also encompasses the many examples of suboptimal Lévy patterns that challenge the prevailing paradigm. This does not detract from the Lévy flight foraging hypothesis, in fact, it adds to the theory by providing a stronger and more compelling case for the occurrence of Lévy walks. It dispenses with concerns about the theoretical arguments in support of the Lévy flight foraging hypothesis and so may lead to a wider acceptance of Lévy walks as models of movement pattern data. Furthermore, organisms can approximate Lévy walks by adapting intrinsic behaviour in simple ways; this occurs when Lévy movement patterns are advantageous, but come with an associated cost. These new developments represent a major change in perspective and provide the broadest picture yet of Lévy movement patterns. However, the process of understanding and identifying Lévy movement patterns still has a long way to go, and further reinterpretations and shifts in understanding will occur. In conclusion, Lévy walk research remains exciting precisely because so much remains to be understood, and because, even relatively small studies, are interesting discoveries in their own right.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Foraging; Lévy flights; Lévy walks; Movement patterns; Optimal searching; Power-laws

Mesh:

Year:  2015        PMID: 25835600     DOI: 10.1016/j.plrev.2015.03.002

Source DB:  PubMed          Journal:  Phys Life Rev        ISSN: 1571-0645            Impact factor:   11.025


  35 in total

1.  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

2.  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

3.  How ants move: individual and collective scaling properties.

Authors:  Riccardo Gallotti; Dante R Chialvo
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

4.  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

5.  Rationalizing spatial exploration patterns of wild animals and humans through a temporal discounting framework.

Authors:  Vijay Mohan K Namboodiri; Joshua M Levy; Stefan Mihalas; David W Sims; Marshall G Hussain Shuler
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-06       Impact factor: 11.205

6.  Functional advantages of Lévy walks emerging near a critical point.

Authors:  Masato S Abe
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-14       Impact factor: 11.205

Review 7.  Mechanistic movement models to understand epidemic spread.

Authors:  Abdou Moutalab Fofana; Amy Hurford
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-05-05       Impact factor: 6.237

8.  The topography of the environment alters the optimal search strategy for active particles.

Authors:  Giorgio Volpe; Giovanni Volpe
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-10       Impact factor: 11.205

9.  Tracking random walks.

Authors:  Riccardo Gallotti; Rémi Louf; Jean-Marc Luck; Marc Barthelemy
Journal:  J R Soc Interface       Date:  2018-02       Impact factor: 4.118

10.  Lévy flight movements prevent extinctions and maximize population abundances in fragile Lotka-Volterra systems.

Authors:  Teodoro Dannemann; Denis Boyer; Octavio Miramontes
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-26       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.