Literature DB >> 25100323

Signatures of active and passive optimized Lévy searching in jellyfish.

Andy M Reynolds1.   

Abstract

Some of the strongest empirical support for Lévy search theory has come from telemetry data for the dive patterns of marine predators (sharks, bony fishes, sea turtles and penguins). The dive patterns of the unusually large jellyfish Rhizostoma octopus do, however, sit outside of current Lévy search theory which predicts that a single search strategy is optimal. When searching the water column, the movement patterns of these jellyfish change over time. Movement bouts can be approximated by a variety of Lévy and Brownian (exponential) walks. The adaptive value of this variation is not known. On some occasions movement pattern data are consistent with the jellyfish prospecting away from a preferred depth, not finding an improvement in conditions elsewhere and so returning to their original depth. This 'bounce' behaviour also sits outside of current Lévy walk search theory. Here, it is shown that the jellyfish movement patterns are consistent with their using optimized 'fast simulated annealing'--a novel kind of Lévy walk search pattern--to locate the maximum prey concentration in the water column and/or to locate the strongest of many olfactory trails emanating from more distant prey. Fast simulated annealing is a powerful stochastic search algorithm for locating a global maximum that is hidden among many poorer local maxima in a large search space. This new finding shows that the notion of active optimized Lévy walk searching is not limited to the search for randomly and sparsely distributed resources, as previously thought, but can be extended to embrace other scenarios, including that of the jellyfish R. octopus. In the presence of convective currents, it could become energetically favourable to search the water column by riding the convective currents. Here, it is shown that these passive movements can be represented accurately by Lévy walks of the type occasionally seen in R. octopus. This result vividly illustrates that Lévy walks are not necessarily the result of selection pressures for advantageous searching behaviour but can instead arise freely and naturally from simple processes. It also shows that the family of Lévy walkers is vastly larger than previously thought and includes spores, pollens, seeds and minute wingless arthropods that on warm days disperse passively within the atmospheric boundary layer.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  Lévy walks; convection; fast simulated annealing; ideal free distributions; jellyfish; optimal searching

Mesh:

Year:  2014        PMID: 25100323      PMCID: PMC4233752          DOI: 10.1098/rsif.2014.0665

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


  22 in total

1.  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

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

Authors:  Nicolas E Humphries; 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
Journal:  Nature       Date:  2010-06-09       Impact factor: 49.962

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.  How white noise generates power-law switching in bacterial flagellar motors.

Authors:  Yuhai Tu; G Grinstein
Journal:  Phys Rev Lett       Date:  2005-05-25       Impact factor: 9.161

5.  Does the Australian desert ant Melophorus bagoti approximate a Lévy search by an intrinsic bi-modal walk?

Authors:  Andy M Reynolds; Patrick Schultheiss; Ken Cheng
Journal:  J Theor Biol       Date:  2013-09-10       Impact factor: 2.691

6.  Lévy walks evolve through interaction between movement and environmental complexity.

Authors:  Monique de Jager; Franz J Weissing; Peter M J Herman; Bart A Nolet; Johan van de Koppel
Journal:  Science       Date:  2011-06-24       Impact factor: 47.728

7.  Displaced honey bees perform optimal scale-free search flights.

Authors:  Andrew M Reynolds; Alan D Smith; Randolf Menzel; Uwe Greggers; Donald R Reynolds; Joseph R Riley
Journal:  Ecology       Date:  2007-08       Impact factor: 5.499

8.  Evidence of Levy walk foraging patterns in human hunter-gatherers.

Authors:  David A Raichlen; Brian M Wood; Adam D Gordon; Audax Z P Mabulla; Frank W Marlowe; Herman Pontzer
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-23       Impact factor: 11.205

9.  Generalized Lévy walks and the role of chemokines in migration of effector CD8+ T cells.

Authors:  Tajie H Harris; Edward J Banigan; David A Christian; Christoph Konradt; Elia D Tait Wojno; Kazumi Norose; Emma H Wilson; Beena John; Wolfgang Weninger; Andrew D Luster; Andrea J Liu; Christopher A Hunter
Journal:  Nature       Date:  2012-06-28       Impact factor: 49.962

10.  The ontogeny of bumblebee flight trajectories: from naïve explorers to experienced foragers.

Authors:  Juliet L Osborne; Alan Smith; Suzanne J Clark; Don R Reynolds; Mandy C Barron; Ka S Lim; Andy M Reynolds
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

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  3 in total

1.  Signatures of a globally optimal searching strategy in the three-dimensional foraging flights of bumblebees.

Authors:  Mathieu Lihoreau; Thomas C Ings; Lars Chittka; Andy M Reynolds
Journal:  Sci Rep       Date:  2016-07-27       Impact factor: 4.379

2.  The evolutionary origins of Lévy walk foraging.

Authors:  Marina E Wosniack; Marcos C Santos; Ernesto P Raposo; Gandhi M Viswanathan; Marcos G E da Luz
Journal:  PLoS Comput Biol       Date:  2017-10-03       Impact factor: 4.475

3.  The Levantine jellyfish Rhopilema nomadica and Rhizostoma pulmo swim faster against the flow than with the flow.

Authors:  Dror Malul; Tamar Lotan; Yizhaq Makovsky; Roi Holzman; Uri Shavit
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

  3 in total

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