Literature DB >> 29585647

Temporal Variation in Danger Drives Antipredator Behavior: The Predation Risk Allocation Hypothesis.

Steven L Lima, Peter A Bednekoff.   

Abstract

The rapid response of animals to changes in predation risk has allowed behavioral ecologists to learn much about antipredator decision making. A largely unappreciated aspect of such decision making, however, is that it may be fundamentally driven by the very thing that allows it to be so readily studied: temporal variation in risk. We show theoretically that temporal variability in risk leaves animals with the problem of allocating feeding and antipredator efforts across different risk situations. Our analysis suggests that an animal should exhibit its greatest antipredator behavior in high-risk situations that are brief and infrequent. An animal should also allocate more antipredator effort to high-risk situations and more feeding to low-risk situations, with an increase in the relative degree of risk in high-risk situations. However, the need to feed leaves an animal with little choice but to decrease its allocation of antipredator effort to high-risk situations as they become more frequent or lengthy; here, antipredator effort in low-risk situations may drop to low levels as an animal allocates as much feeding as possible to brief periods of low risk. These conclusions hold under various scenarios of interrupted feeding, state-dependent behavior, and stochastic variation in risk situations. Our analysis also suggests that a common experimental protocol, in which prey animals are maintained under low risk and then exposed to a brief "pulse" of high risk, is likely to overestimate the intensity of antipredator behavior expected under field situations or chronic exposure to high risk.

Keywords:  antipredator behavior; decision making; foraging behavior; predation risk; vigilance

Year:  1999        PMID: 29585647     DOI: 10.1086/303202

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  104 in total

1.  Hourly movement decisions indicate how a large carnivore inhabits developed landscapes.

Authors:  Michael J Evans; Jason E Hawley; Paul W Rego; Tracy A G Rittenhouse
Journal:  Oecologia       Date:  2018-11-30       Impact factor: 3.225

2.  Generalization of learned predator recognition: an experimental test and framework for future studies.

Authors:  Maud C O Ferrari; Adega Gonzalo; François Messier; Douglas P Chivers
Journal:  Proc Biol Sci       Date:  2007-08-07       Impact factor: 5.349

3.  The value of constant surveillance in a risky environment.

Authors:  M B V Bell; A N Radford; R Rose; H M Wade; A R Ridley
Journal:  Proc Biol Sci       Date:  2009-06-03       Impact factor: 5.349

4.  Trust thy neighbour in times of trouble: background risk alters how tadpoles release and respond to disturbance cues.

Authors:  Kevin R Bairos-Novak; Matthew D Mitchell; Adam L Crane; Douglas P Chivers; Maud C O Ferrari
Journal:  Proc Biol Sci       Date:  2017-09-27       Impact factor: 5.349

5.  Prey state shapes the effects of temporal variation in predation risk.

Authors:  Catherine M Matassa; Geoffrey C Trussell
Journal:  Proc Biol Sci       Date:  2014-12-07       Impact factor: 5.349

6.  Social learning in a high-risk environment: incomplete disregard for the 'minnow that cried pike' results in culturally transmitted neophobia.

Authors:  Adam L Crane; Anthony G E Mathiron; Maud C O Ferrari
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

7.  Contrasting indirect effects of an ant host on prey-predator interactions of symbiotic arthropods.

Authors:  T Parmentier; F De Laender; T Wenseleers; D Bonte
Journal:  Oecologia       Date:  2018-10-25       Impact factor: 3.225

8.  Human-induced reductions in fish predator boldness decrease their predation rates in kelp forests.

Authors:  O Kennedy Rhoades; Steve I Lonhart; John J Stachowicz
Journal:  Proc Biol Sci       Date:  2019-04-10       Impact factor: 5.349

Review 9.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

10.  Spider mite web mediates anti-predator behaviour.

Authors:  Felipe Lemos; Renato Almeida Sarmento; Angelo Pallini; Cleide Rosa Dias; Maurice W Sabelis; Arne Janssen
Journal:  Exp Appl Acarol       Date:  2010-02-27       Impact factor: 2.132

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