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Contextual influences on animal decision‐making: Significance for behavior‐based wildlife conservation and management
Author(s) -
OWEN Megan A.,
SWAISGOOD Ronald R.,
BLUMSTEIN Daniel T.
Publication year - 2017
Publication title -
integrative zoology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.904
H-Index - 34
ISSN - 1749-4877
DOI - 10.1111/1749-4877.12235
Subject(s) - cognition , population , wildlife , foraging , context (archaeology) , psychology , ecology , psychological resilience , cognitive psychology , biology , social psychology , neuroscience , sociology , paleontology , demography
Survival and successful reproduction require animals to make critical decisions amidst a naturally dynamic environmental and social background (i.e. “context”). However, human activities have pervasively, and rapidly, extended contextual variation into evolutionarily novel territory, potentially rendering evolved animal decision‐making mechanisms and strategies maladaptive. We suggest that explicitly focusing on animal decision‐making (ADM), by integrating and applying findings from studies of sensory ecology, cognitive psychology, behavioral economics and eco‐evolutionary strategies, may enhance our understanding of, and our ability to predict how, human‐driven changes in the environment and population demography will influence animal populations. Fundamentally, the decisions animals make involve evolved mechanisms, and behaviors emerge from the combined action of sensory integration, cognitive mechanisms and strategic rules of thumb, and any of these processes may have a disproportionate influence on behavior. Although there is extensive literature exploring ADM, it generally reflects a canalized, discipline‐specific approach that lacks a unified conceptual framework. As a result, there has been limited application of ADM theory and research findings into predictive models that can enhance management outcomes, even though it is likely that the relative resilience of species to rapid environmental change is fundamentally a result of how ADM is linked to contextual variation. Here, we focus on how context influences ADM, and highlight ideas and results that may be most applicable to conservation biology.

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