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The many faces of fear : A synthesis of methodological variation in characterizing predation risk from carnivores. / Moll, Remington J.; Redilla, Kyle M.; Mudumba, Tutuilo; Muneza, Arthur B.; Gray, Steven M.; Abade, Leandro; Hayward, Matthew; Millspaugh, Joshua J.; Montgomery, Robert A.

In: Journal of Animal Ecology, Vol. 86, No. 4, 07.2017, p. 749-765.

Research output: Contribution to journalArticle

Harvard

Moll, RJ, Redilla, KM, Mudumba, T, Muneza, AB, Gray, SM, Abade, L, Hayward, M, Millspaugh, JJ & Montgomery, RA 2017, 'The many faces of fear: A synthesis of methodological variation in characterizing predation risk from carnivores' Journal of Animal Ecology, vol 86, no. 4, pp. 749-765. DOI: 10.1111/1365-2656.12680

APA

Moll, R. J., Redilla, K. M., Mudumba, T., Muneza, A. B., Gray, S. M., Abade, L., ... Montgomery, R. A. (2017). The many faces of fear: A synthesis of methodological variation in characterizing predation risk from carnivores. Journal of Animal Ecology, 86(4), 749-765. DOI: 10.1111/1365-2656.12680

Vancouver

Moll RJ, Redilla KM, Mudumba T, Muneza AB, Gray SM, Abade L et al. The many faces of fear: A synthesis of methodological variation in characterizing predation risk from carnivores. Journal of Animal Ecology. 2017 Jul;86(4):749-765. Available from, DOI: 10.1111/1365-2656.12680

Author

Moll, Remington J.; Redilla, Kyle M.; Mudumba, Tutuilo; Muneza, Arthur B.; Gray, Steven M.; Abade, Leandro; Hayward, Matthew; Millspaugh, Joshua J.; Montgomery, Robert A. / The many faces of fear : A synthesis of methodological variation in characterizing predation risk from carnivores.

In: Journal of Animal Ecology, Vol. 86, No. 4, 07.2017, p. 749-765.

Research output: Contribution to journalArticle

BibTeX

@article{487c7039418147fb9be14302d8c481e0,
title = "The many faces of fear: A synthesis of methodological variation in characterizing predation risk from carnivores",
abstract = "1. Predators affect prey by killing them directly (lethal effects) and by inducing costly antipredator behaviors in living prey (risk effects). Recent research in carnivore-ungulate systems has shown how risk effects can strongly influence prey populations and cascade through trophic systems. A crucial prerequisite for assessing risk effects is characterizing the spatiotemporal variation in predation risk.2. Carnivore-ungulate risk effects research has experienced rapid growth. However, preliminary assessments of the resultant literature suggests that researchers characterize predation risk using a diverse variety of techniques. This methodological variation complicates inference about risk effects and confounds comparability between studies due to an evident lack of clear benchmarks.3. We couple an extensive literature survey with a hierarchical framework, developed from established theory, to quantify the methodological variation in characterizing risk from carnivores.4. We detected substantial variation in methods characterizing risk from carnivores, with 243 metrics of risk from 141 studies falling into at least 13 distinct subcategories within 3 broader categories. Most studies characterized predation risk in relatively simplistic terms, often using a single metric to represent risk. We also documented a strong focus in the literature on a specific trophic interaction (wolf Canis lupus – elk Cervus elaphus).5. Our synthesis suggests that the gaps in our understanding of carnivore-ungulate risk effects are due, at least in part, to the methodological variation in characterizing predation risk and an overarching research focus on wolf-elk systems. We provide recommendations to guide future work, including calls to evaluate risk effects related to a greater diversity of carnivore species and for studies to strategically characterize risk so that key, unifying hypotheses regarding carnivore-ungulate risk effects can be adequately tested.",
keywords = "Antipredator behavior, Carnivore, Landscape of fear, Nonconsumptive effects, Nonlethal effects, Predator-prey interaction, Predation risk, Risk effects, Study design, Ungulate",
author = "Moll, {Remington J.} and Redilla, {Kyle M.} and Tutuilo Mudumba and Muneza, {Arthur B.} and Gray, {Steven M.} and Leandro Abade and Matthew Hayward and Millspaugh, {Joshua J.} and Montgomery, {Robert A.}",
note = "This is the peer reviewed version of the article, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12680. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.",
year = "2017",
month = "7",
doi = "10.1111/1365-2656.12680",
volume = "86",
pages = "749--765",
journal = "Journal of Animal Ecology",
issn = "0021-8790",
publisher = "Wiley",
number = "4",

}

RIS

TY - JOUR

T1 - The many faces of fear

T2 - Journal of Animal Ecology

AU - Moll,Remington J.

AU - Redilla,Kyle M.

AU - Mudumba,Tutuilo

AU - Muneza,Arthur B.

AU - Gray,Steven M.

AU - Abade,Leandro

AU - Hayward,Matthew

AU - Millspaugh,Joshua J.

AU - Montgomery,Robert A.

N1 - This is the peer reviewed version of the article, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12680. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

PY - 2017/7

Y1 - 2017/7

N2 - 1. Predators affect prey by killing them directly (lethal effects) and by inducing costly antipredator behaviors in living prey (risk effects). Recent research in carnivore-ungulate systems has shown how risk effects can strongly influence prey populations and cascade through trophic systems. A crucial prerequisite for assessing risk effects is characterizing the spatiotemporal variation in predation risk.2. Carnivore-ungulate risk effects research has experienced rapid growth. However, preliminary assessments of the resultant literature suggests that researchers characterize predation risk using a diverse variety of techniques. This methodological variation complicates inference about risk effects and confounds comparability between studies due to an evident lack of clear benchmarks.3. We couple an extensive literature survey with a hierarchical framework, developed from established theory, to quantify the methodological variation in characterizing risk from carnivores.4. We detected substantial variation in methods characterizing risk from carnivores, with 243 metrics of risk from 141 studies falling into at least 13 distinct subcategories within 3 broader categories. Most studies characterized predation risk in relatively simplistic terms, often using a single metric to represent risk. We also documented a strong focus in the literature on a specific trophic interaction (wolf Canis lupus – elk Cervus elaphus).5. Our synthesis suggests that the gaps in our understanding of carnivore-ungulate risk effects are due, at least in part, to the methodological variation in characterizing predation risk and an overarching research focus on wolf-elk systems. We provide recommendations to guide future work, including calls to evaluate risk effects related to a greater diversity of carnivore species and for studies to strategically characterize risk so that key, unifying hypotheses regarding carnivore-ungulate risk effects can be adequately tested.

AB - 1. Predators affect prey by killing them directly (lethal effects) and by inducing costly antipredator behaviors in living prey (risk effects). Recent research in carnivore-ungulate systems has shown how risk effects can strongly influence prey populations and cascade through trophic systems. A crucial prerequisite for assessing risk effects is characterizing the spatiotemporal variation in predation risk.2. Carnivore-ungulate risk effects research has experienced rapid growth. However, preliminary assessments of the resultant literature suggests that researchers characterize predation risk using a diverse variety of techniques. This methodological variation complicates inference about risk effects and confounds comparability between studies due to an evident lack of clear benchmarks.3. We couple an extensive literature survey with a hierarchical framework, developed from established theory, to quantify the methodological variation in characterizing risk from carnivores.4. We detected substantial variation in methods characterizing risk from carnivores, with 243 metrics of risk from 141 studies falling into at least 13 distinct subcategories within 3 broader categories. Most studies characterized predation risk in relatively simplistic terms, often using a single metric to represent risk. We also documented a strong focus in the literature on a specific trophic interaction (wolf Canis lupus – elk Cervus elaphus).5. Our synthesis suggests that the gaps in our understanding of carnivore-ungulate risk effects are due, at least in part, to the methodological variation in characterizing predation risk and an overarching research focus on wolf-elk systems. We provide recommendations to guide future work, including calls to evaluate risk effects related to a greater diversity of carnivore species and for studies to strategically characterize risk so that key, unifying hypotheses regarding carnivore-ungulate risk effects can be adequately tested.

KW - Antipredator behavior

KW - Carnivore

KW - Landscape of fear

KW - Nonconsumptive effects

KW - Nonlethal effects

KW - Predator-prey interaction

KW - Predation risk

KW - Risk effects

KW - Study design

KW - Ungulate

U2 - 10.1111/1365-2656.12680

DO - 10.1111/1365-2656.12680

M3 - Article

VL - 86

SP - 749

EP - 765

JO - Journal of Animal Ecology

JF - Journal of Animal Ecology

SN - 0021-8790

IS - 4

ER -

ID: 18153203