Literature DB >> 22352157

Toward a predictive theory of risk effects: hypotheses for prey attributes and compensatory mortality.

Scott Creel1.   

Abstract

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.

Mesh:

Year:  2011        PMID: 22352157     DOI: 10.1890/11-0327.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  14 in total

1.  Predator identity and time of day interact to shape the risk-reward trade-off for herbivorous coral reef fishes.

Authors:  Laura B Catano; Mark B Barton; Kevin M Boswell; Deron E Burkepile
Journal:  Oecologia       Date:  2016-12-22       Impact factor: 3.225

2.  Individual-level behavioral responses of immature green turtles to snorkeler disturbance.

Authors:  Lucas P Griffin; Jacob W Brownscombe; Tyler O Gagné; Alexander D M Wilson; Steven J Cooke; Andy J Danylchuk
Journal:  Oecologia       Date:  2016-12-30       Impact factor: 3.225

3.  Temporal variation in site fidelity: scale-dependent effects of forage abundance and predation risk in a non-migratory large herbivore.

Authors:  F M van Beest; E Vander Wal; A V Stronen; P C Paquet; R K Brook
Journal:  Oecologia       Date:  2013-04-04       Impact factor: 3.225

4.  Predation-associated modulation of movement-based signals by a Bahamian lizard.

Authors:  David S Steinberg; Jonathan B Losos; Thomas W Schoener; David A Spiller; Jason J Kolbe; Manuel Leal
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

5.  Refining the stress gradient hypothesis for mixed species groups of African mammals.

Authors:  Christian Kiffner; Diana M Boyle; Kristen Denninger-Snyder; Bernard M Kissui; Matthias Waltert; Stefan Krause
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

6.  Underestimating the frequency, strength and cost of antipredator responses with data from GPS collars: an example with wolves and elk.

Authors:  Scott Creel; John A Winnie; David Christianson
Journal:  Ecol Evol       Date:  2013-11-26       Impact factor: 2.912

7.  Ecosystem scale declines in elk recruitment and population growth with wolf colonization: a before-after-control-impact approach.

Authors:  David Christianson; Scott Creel
Journal:  PLoS One       Date:  2014-07-16       Impact factor: 3.240

8.  Seasonal patterns of mixed species groups in large East African mammals.

Authors:  Christian Kiffner; John Kioko; Cecilia Leweri; Stefan Krause
Journal:  PLoS One       Date:  2014-12-03       Impact factor: 3.240

9.  Selective Predation of a Stalking Predator on Ungulate Prey.

Authors:  Marco Heurich; Klara Zeis; Helmut Küchenhoff; Jörg Müller; Elisa Belotti; Luděk Bufka; Benno Woelfing
Journal:  PLoS One       Date:  2016-08-22       Impact factor: 3.240

10.  Limited spatial response to direct predation risk by African herbivores following predator reintroduction.

Authors:  Andrew B Davies; Craig J Tambling; Graham I H Kerley; Gregory P Asner
Journal:  Ecol Evol       Date:  2016-07-22       Impact factor: 2.912

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