Abstract
Adaptive responses to predation are generally studied assuming only one predator type exists, but most prey species are depredated by multiple types. When multiple types occur, the optimal antipredator response level may be determined solely by the probability of attack by the relevant predator: "specific responsiveness." Conversely, an increase in the probability of attack by one predator type might increase responsiveness to an alternative predator type: "general wariness." We formulate a mathematical model in which a prey animal perceives a cue providing information on the probability of two predator types being present. It can perform one of two evasive behaviors that vary in their suitability as a response to the "wrong" predator type. We show that general wariness is optimal when incorrect behavioral decisions have differential fitness costs. Counterintuitively, difficulty in discriminating between predator types does not favor general wariness. We predict that where responses to predator types are mutually exclusive (e.g., referential alarm-calling), specific responsiveness will occur; we suggest that prey generalize their defensive responses based on cue similarity due to an assumption of response utility; and we predict, with relevance to conservation, that habituation to human disturbance should generalize only to predators that elicit the same antipredator response as humans.
DOI
10.1086/665648
Publication Date
2012-06-06
Publication Title
Am Nat
Volume
179
Issue
6
Publisher
University of Chicago Press
ISSN
1537-5323
Embargo Period
2024-11-22
Additional Links
http://www.ncbi.nlm.nih.gov/pubmed/22617270
Keywords
Animals, Avoidance Learning, Behavior, Animal, Birds, Cats, Cues, Models, Biological
First Page
E180
Last Page
E195
Recommended Citation
Brilot, B., Bateson, M., Nettle, D., Whittingham, M., & Read, J. (2012) 'When is general wariness favored in avoiding multiple predator types?', Am Nat, 179(6), pp. E180-E195. University of Chicago Press: Available at: https://doi.org/10.1086/665648
Comments
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