Describing and understanding behavioral responses to multiple stressors and multiple stimuli

Summary Understanding the effects of environmental change on natural ecosystems is a major challenge, particularly when multiple stressors interact to produce unexpected “ecological surprises” in the form of complex, nonadditive effects that can amplify or reduce their individual effects. Animals of...

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Main Authors: Robin Hale, Jeremy J. Piggott, Stephen E. Swearer
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.2609
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author Robin Hale
Jeremy J. Piggott
Stephen E. Swearer
author_facet Robin Hale
Jeremy J. Piggott
Stephen E. Swearer
author_sort Robin Hale
collection DOAJ
description Summary Understanding the effects of environmental change on natural ecosystems is a major challenge, particularly when multiple stressors interact to produce unexpected “ecological surprises” in the form of complex, nonadditive effects that can amplify or reduce their individual effects. Animals often respond behaviorally to environmental change, and multiple stressors can have both population‐level and community‐level effects. However, the individual, not combined, effects of stressors on animal behavior are commonly studied. There is a need to understand how animals respond to the more complex combinations of stressors that occur in nature, which requires a systematic and rigorous approach to quantify the various potential behavioral responses to the independent and interactive effects of stressors. We illustrate a robust, systematic approach for understanding behavioral responses to multiple stressors based on integrating schemes used to quantitatively classify interactions in multiple‐stressor research and to qualitatively view interactions between multiple stimuli in behavioral experiments. We introduce and unify the two frameworks, highlighting their conceptual and methodological similarities, and use four case studies to demonstrate how this unification could improve our interpretation of interactions in behavioral experiments and guide efforts to manage the effects of multiple stressors. Our unified approach: (1) provides behavioral ecologists with a more rigorous and systematic way to quantify how animals respond to interactions between multiple stimuli, an important theoretical advance, (2) helps us better understand how animals behave when they encounter multiple, potentially interacting stressors, and (3) contributes more generally to the understanding of “ecological surprises” in multiple stressors research.
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spelling doaj.art-cee9d47818014e768f2df8afa09d4a962023-08-17T06:04:36ZengWileyEcology and Evolution2045-77582017-01-0171384710.1002/ece3.2609Describing and understanding behavioral responses to multiple stressors and multiple stimuliRobin Hale0Jeremy J. Piggott1Stephen E. Swearer2School of BioSciences University of Melbourne Parkville VIC AustraliaDepartment of Zoology University of Otago Dunedin New ZealandSchool of BioSciences University of Melbourne Parkville VIC AustraliaSummary Understanding the effects of environmental change on natural ecosystems is a major challenge, particularly when multiple stressors interact to produce unexpected “ecological surprises” in the form of complex, nonadditive effects that can amplify or reduce their individual effects. Animals often respond behaviorally to environmental change, and multiple stressors can have both population‐level and community‐level effects. However, the individual, not combined, effects of stressors on animal behavior are commonly studied. There is a need to understand how animals respond to the more complex combinations of stressors that occur in nature, which requires a systematic and rigorous approach to quantify the various potential behavioral responses to the independent and interactive effects of stressors. We illustrate a robust, systematic approach for understanding behavioral responses to multiple stressors based on integrating schemes used to quantitatively classify interactions in multiple‐stressor research and to qualitatively view interactions between multiple stimuli in behavioral experiments. We introduce and unify the two frameworks, highlighting their conceptual and methodological similarities, and use four case studies to demonstrate how this unification could improve our interpretation of interactions in behavioral experiments and guide efforts to manage the effects of multiple stressors. Our unified approach: (1) provides behavioral ecologists with a more rigorous and systematic way to quantify how animals respond to interactions between multiple stimuli, an important theoretical advance, (2) helps us better understand how animals behave when they encounter multiple, potentially interacting stressors, and (3) contributes more generally to the understanding of “ecological surprises” in multiple stressors research.https://doi.org/10.1002/ece3.2609antagonismcueecological surpriseeffect sizeinteractionmultiple stressor
spellingShingle Robin Hale
Jeremy J. Piggott
Stephen E. Swearer
Describing and understanding behavioral responses to multiple stressors and multiple stimuli
Ecology and Evolution
antagonism
cue
ecological surprise
effect size
interaction
multiple stressor
title Describing and understanding behavioral responses to multiple stressors and multiple stimuli
title_full Describing and understanding behavioral responses to multiple stressors and multiple stimuli
title_fullStr Describing and understanding behavioral responses to multiple stressors and multiple stimuli
title_full_unstemmed Describing and understanding behavioral responses to multiple stressors and multiple stimuli
title_short Describing and understanding behavioral responses to multiple stressors and multiple stimuli
title_sort describing and understanding behavioral responses to multiple stressors and multiple stimuli
topic antagonism
cue
ecological surprise
effect size
interaction
multiple stressor
url https://doi.org/10.1002/ece3.2609
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