Literature DB >> 17148148

Spatial processes can determine the relationship between prey encounter rate and prey density.

J M J Travis1, S C F Palmer.   

Abstract

Theoretical models frequently assume that the rate at which a searching predator encounters prey increases linearly with prey density. In a recent experiment using great tits searching for winter moth caterpillars, the time to find the first prey item did not decline as quickly with density as the standard theory assumes. Using a spatial simulation model, we show that prey aggregation and/or spatially correlated searching behaviour by the predator can generate a range of relationships, including results that are qualitatively similar to those found in the great tit experiment. We suggest that further experiments are required to determine whether the explanation proposed here is correct, and that theoretical work is needed to determine how this behaviour is likely to influence the ecological and evolutionary dynamics of predator-prey communities.

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Year:  2005        PMID: 17148148      PMCID: PMC1626232          DOI: 10.1098/rsbl.2004.0293

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  6 in total

1.  Critical behavior of a one-dimensional diffusive epidemic process.

Authors:  U L Fulco; D N Messias; M L Lyra
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-05-22

2.  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

3.  How should pathogen transmission be modelled?

Authors:  H McCallum; N Barlow; J Hone
Journal:  Trends Ecol Evol       Date:  2001-06-01       Impact factor: 17.712

4.  Central assumptions of predator-prey models fail in a semi-natural experimental system.

Authors:  Christel M M Mols; Kees van Oers; Leontien M A Witjes; Catherine M Lessells; Piet J Drent; Marcel E Visser
Journal:  Proc Biol Sci       Date:  2004-02-07       Impact factor: 5.349

5.  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

6.  Increasing search rate over time may cause a slower than expected increase in prey encounter rate with increasing prey density.

Authors:  Graeme D Ruxton
Journal:  Biol Lett       Date:  2005-06-22       Impact factor: 3.703

  6 in total
  4 in total

1.  Unified effects of aggregation reveal larger prey groups take longer to find.

Authors:  Christos C Ioannou; Frederic Bartumeus; Jens Krause; Graeme D Ruxton
Journal:  Proc Biol Sci       Date:  2011-02-16       Impact factor: 5.349

2.  Drive counts as a method of estimating ungulate density in forests: mission impossible?

Authors:  Jakub Borkowski; Stephen C F Palmer; Zbigniew Borowski
Journal:  Acta Theriol (Warsz)       Date:  2011-01-29

3.  How linear features alter predator movement and the functional response.

Authors:  Hannah W McKenzie; Evelyn H Merrill; Raymond J Spiteri; Mark A Lewis
Journal:  Interface Focus       Date:  2012-01-18       Impact factor: 3.906

4.  Adaptive aggregation by spider mites under predation risk.

Authors:  Lena Dittmann; Peter Schausberger
Journal:  Sci Rep       Date:  2017-09-06       Impact factor: 4.379

  4 in total

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