Uncertainty about predation risk: a conceptual review

Author:

Crane Adam L.12ORCID,Feyten Laurence E. A.2,Preagola Alexyz A.3,Ferrari Maud C. O.1,Brown Grant E.2

Affiliation:

1. WCVM, Biomedical Sciences University of Saskatchewan 52 Campus Dr. Saskatoon SK S7N 5B4 Canada

2. Department of Biology Concordia University 7141 Sherbrooke St. W. Montreal QC H4B 1R6 Canada

3. Department of Biology University of Saskatchewan 112 Science Pl. Saskatoon SK S7N 5E2 Canada

Abstract

ABSTRACTUncertainty has long been of interest to economists and psychologists and has more recently gained attention among ecologists. In the ecological world, animals must regularly make decisions related to finding resources and avoiding threats. Here, we describe uncertainty as a perceptual phenomenon of decision‐makers, and we focus specifically on the functional ecology of such uncertainty regarding predation risk. Like all uncertainty, uncertainty about predation risk reflects informational limitations. When cues are available, they may be novel (i.e. unknown information), incomplete, unreliable, overly abundant and complex, or conflicting. We review recent studies that have used these informational limitations to induce uncertainty of predation risk. These studies have typically used either over‐responses to novelty (i.e. neophobia) or memory attenuation as proxies for measuring uncertainty. Because changes in the environment, particularly unpredictable changes, drive informational limitations, we describe studies assessing unpredictable variance in spatio‐temporal predation risk, intensity of predation risk, predator encounter rate, and predator diversity. We also highlight anthropogenic changes within habitats that are likely to have dramatic impacts on information availability and thus uncertainty in antipredator decisions in the modern world.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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