Literature DB >> 14559061

Patch leaving strategies and superparasitism: an asymmetric generalized war of attrition.

Patsy Haccou1, Olivier Glaizot, Chris Cannings.   

Abstract

When several competitors deplete a patch, it can be advantageous for each of them to stay provided that others leave, whereas, on the other hand, staying longer decreases the expected payoff for everyone. This situation can be considered as a generalized war of attrition. Previous studies have shown that optimal patch leaving strategies become stochastic and the expected leaving time is much larger than predicted by the marginal value theorem when competitors interfere. The possibility of superparasitism, as occurs for example in parasitoids, induces such interference. In addition, it gives several complications. First, the payoff of females that have left the patch is affected by the ovipositions of the remaining individuals. Second, differences in the arrival time of females cause payoff-relevant asymmetries, since females that arrived early on have parasitized more hosts in a patch at the moment superparasitism starts than those that arrived later. We show that this can be modelled as an asymmetric generalized war of attrition, and derive global characteristics of the ESS for simultaneous decisions on when to start superparasitism and when to leave a patch.

Mesh:

Year:  2003        PMID: 14559061     DOI: 10.1016/s0022-5193(03)00223-6

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  The effect of direct interspecific competition on patch exploitation strategies in parasitoid wasps.

Authors:  Rihab Mohamad; Eric Wajnberg; Jean-Paul Monge; Marlène Goubault
Journal:  Oecologia       Date:  2014-11-04       Impact factor: 3.225

2.  Effects of Intraspecific Competition and Host-Parasitoid Developmental Timing on Foraging Behaviour of a Parasitoid Wasp.

Authors:  Christelle Couchoux; Saskya van Nouhuys
Journal:  J Insect Behav       Date:  2013-10-22       Impact factor: 1.309

  2 in total

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