Title of article :
Individual variation in prey choice in a predator–prey community
Author/Authors :
Okuyama، نويسنده , , Toshinori، نويسنده ,
Issue Information :
دوماهنامه با شماره پیاپی سال 2011
Pages :
6
From page :
64
To page :
69
Abstract :
One predator–two prey community models are studied with an emphasis on individual variation in predator behavior. The predator behaves according to a well-known prey choice model. The behavioral model predicts that predators should always attack the primary prey (more profitable prey of the two), but only attack the alternative prey (less profitable prey of the two) when the density of the primary prey is below a threshold density. The predator that accepts the alternative prey does not discriminate between the primary and alternative prey (all-or-nothing preference for the alternative prey). However, empirical studies do not result in clear all-or-nothing responses. Previous models examined the relaxation of the all-or-nothing response by assuming partial preference (e.g., predators preferentially forage on the primary prey even when they also attack the alternative prey). In this study, I consider individual variation in two predator traits (prey density perception and handling time) as the sources of the variation in the threshold density, which can make empirical data appear deviated from the expectation. I examine how community models with partial preference and individual variation differ in their dynamics and show that the differences can be substantial. For example, the dynamics of a model based on individual variation can be more stable (e.g., stable in a wider parameter region) than that of a model based on partial preference. As the general statistical property (Jensen’s inequality) is a main factor that causes the differences, the results of the study have general implications to the interpretation of models based on average per-capita rates.
Keywords :
Behavioral variation , Jensen’s inequality , Prey choice model
Journal title :
Theoretical Population Biology
Serial Year :
2011
Journal title :
Theoretical Population Biology
Record number :
1567383
Link To Document :
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