Document Detail


Toward a predictive theory of risk effects: hypotheses for prey attributes and compensatory mortality.
MedLine Citation:
PMID:  22352157     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Risk effects, or the costs of antipredator behavior, can comprise a large proportion of the total effect of predators on their prey. While empirical studies are accumulating to demonstrate the importance of risk effects, there is no general theory that predicts the relative importance of risk effects and direct predation. Working toward this general theory, it has been shown that functional traits of predators (e.g., hunting modes) help to predict the importance of risk effects for ecosystem function. Here, I note that attributes of the predator, the prey, and the environment are all important in determining the strength of antipredator responses, and I develop hypotheses for the ways that prey functional traits might influence the magnitude of risk effects. In particular, I consider the following attributes of prey: group size and dilution of direct predation risk, the degree of foraging specialization, body mass, and the degree to which direct predation is additive vs. compensatory. Strong tests of these hypotheses will require continued development of methods to identify and quantify the fitness costs of antipredator responses in wild populations.
Authors:
Scott Creel
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Ecology     Volume:  92     ISSN:  0012-9658     ISO Abbreviation:  Ecology     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2012-02-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0043541     Medline TA:  Ecology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2190-5     Citation Subset:  IM    
Affiliation:
Department of Ecology, 310 Lewis Hall, Montana State University, Bozeman, Montana 59717, USA. screel@montana.edu
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