Literature DB >> 19915924

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

Alex James1, Jonathan W Pitchford, Michael J Plank.   

Abstract

A large number of observational and theoretical studies have investigated animal movement strategies for finding randomly located food items. Many of these studies have claimed that a particular strategy is advantageous over other strategies or that the spatial distribution of the food items affects the search efficiency. Here, we study a deliberately idealised problem, in which a blind forager searches for re-visitable food items. We show analytically that the forager's efficiency is completely independent of both its movement strategy and the spatial pattern of the food items and depends only on the density of food in the environment. However, in some cases, apparent optima in search strategies can arise as artefacts of inappropriate and inaccurate numerical simulations. We discuss modifications to the idealised foraging problem that can confer an advantage on certain strategies, including when the forager has some memory or knowledge of the environment; when the food items are non-revisitable; and when the problem is viewed in an evolutionary context.

Mesh:

Year:  2009        PMID: 19915924     DOI: 10.1007/s11538-009-9473-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  6 in total

1.  Evolutionary optimality in stochastic search problems.

Authors:  Mark D Preston; Jonathan W Pitchford; A Jamie Wood
Journal:  J R Soc Interface       Date:  2010-03-24       Impact factor: 4.118

Review 2.  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

3.  Levy flights do not always optimize random blind search for sparse targets.

Authors:  Vladimir V Palyulin; Aleksei V Chechkin; Ralf Metzler
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

4.  Constructing a stochastic model of bumblebee flights from experimental data.

Authors:  Friedrich Lenz; Aleksei V Chechkin; Rainer Klages
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

5.  Sensory information and encounter rates of interacting species.

Authors:  Andrew M Hein; Scott A McKinley
Journal:  PLoS Comput Biol       Date:  2013-08-15       Impact factor: 4.475

6.  The prevalence of olfactory- versus visual-signal encounter by searching bumblebees.

Authors:  Jordanna D H Sprayberry
Journal:  Sci Rep       Date:  2018-10-01       Impact factor: 4.379

  6 in total

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