Predicting population-level risk effects of predation from the responses of individuals

Colin D. MacLeod*, Ross MacLeod, Jennifer A. Learmonth, Will Cresswell, Graham J. Pierce

*Corresponding author for this work

Research output: Contribution to journalArticle

11 Citations (Scopus)
4 Downloads (Pure)

Abstract

Fear of predation produces large effects on prey population dynamics through indirect risk effects that can cause even greater impacts than direct predation mortality. As yet, there is no general theoretical framework for predicting when and how these population risk effects will arise in specific prey populations, meaning that there is often little consideration given to the key role predator risk effects can play in understanding conservation and wildlife management challenges. Here, we propose that population predator risk effects can be predicted through an extension of individual risk trade-off theory and show for the first time that this is the case in a wild vertebrate system. Specifically, we demonstrate that the timing (in specific months of the year), occurrence (at low food availability), cause (reduction in individual energy reserves), and type (starvation mortality) of a population-level predator risk effect can be successfully predicted from individual responses using a widely applicable theoretical framework (individual-based risk trade-off theory). Our results suggest that individual-based risk trade-off frameworks could allow a wide range of population-level predator risk effects to be predicted from existing ecological theory, which would enable risk effects to be more routinely integrated into consideration of population processes and in applied situations such as conservation.

Original languageEnglish
Pages (from-to)2006-2015
Number of pages10
JournalEcology
Volume95
Issue number7
DOIs
Publication statusPublished - Jul 2014

Keywords

  • bottlenose dolphin
  • Tursiops truncates
  • harbor porpoise
  • Phocoena phocoena
  • indirect effects individual-based theory
  • lethal porpoise dolphin interactions
  • mass-dependent predation risk
  • nonconsumptive effects
  • nonlethal predator effects
  • sandeel
  • Ammodytes marinus
  • Scotland
  • starvation-predation risk trade-off
  • mediated indirect interactions
  • bottle-nosed dolphins
  • harbor porpoises
  • body-mass
  • wintering birds
  • violent interactions
  • relative importance
  • Parus-Major
  • trade-off

Cite this

MacLeod, C. D., MacLeod, R., Learmonth, J. A., Cresswell, W., & Pierce, G. J. (2014). Predicting population-level risk effects of predation from the responses of individuals. Ecology, 95(7), 2006-2015. https://doi.org/10.1890/13-1795.1

Predicting population-level risk effects of predation from the responses of individuals. / MacLeod, Colin D.; MacLeod, Ross; Learmonth, Jennifer A.; Cresswell, Will; Pierce, Graham J.

In: Ecology, Vol. 95, No. 7, 07.2014, p. 2006-2015.

Research output: Contribution to journalArticle

MacLeod, CD, MacLeod, R, Learmonth, JA, Cresswell, W & Pierce, GJ 2014, 'Predicting population-level risk effects of predation from the responses of individuals', Ecology, vol. 95, no. 7, pp. 2006-2015. https://doi.org/10.1890/13-1795.1
MacLeod CD, MacLeod R, Learmonth JA, Cresswell W, Pierce GJ. Predicting population-level risk effects of predation from the responses of individuals. Ecology. 2014 Jul;95(7):2006-2015. https://doi.org/10.1890/13-1795.1
MacLeod, Colin D. ; MacLeod, Ross ; Learmonth, Jennifer A. ; Cresswell, Will ; Pierce, Graham J. / Predicting population-level risk effects of predation from the responses of individuals. In: Ecology. 2014 ; Vol. 95, No. 7. pp. 2006-2015.
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abstract = "Fear of predation produces large effects on prey population dynamics through indirect risk effects that can cause even greater impacts than direct predation mortality. As yet, there is no general theoretical framework for predicting when and how these population risk effects will arise in specific prey populations, meaning that there is often little consideration given to the key role predator risk effects can play in understanding conservation and wildlife management challenges. Here, we propose that population predator risk effects can be predicted through an extension of individual risk trade-off theory and show for the first time that this is the case in a wild vertebrate system. Specifically, we demonstrate that the timing (in specific months of the year), occurrence (at low food availability), cause (reduction in individual energy reserves), and type (starvation mortality) of a population-level predator risk effect can be successfully predicted from individual responses using a widely applicable theoretical framework (individual-based risk trade-off theory). Our results suggest that individual-based risk trade-off frameworks could allow a wide range of population-level predator risk effects to be predicted from existing ecological theory, which would enable risk effects to be more routinely integrated into consideration of population processes and in applied situations such as conservation.",
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T1 - Predicting population-level risk effects of predation from the responses of individuals

AU - MacLeod, Colin D.

AU - MacLeod, Ross

AU - Learmonth, Jennifer A.

AU - Cresswell, Will

AU - Pierce, Graham J.

N1 - Date of Acceptance: 17/12/2014 This work formed part of the EU-funded BIOCET project (Bioaccumulation of persistent organic pollutants in small cetaceans in European waters: transport pathways and impact on reproduction, EVK3-2000-00027). We are grateful to our Project Officer, Cathy Eccles, for her support. The UK marine mammal strandings program, funded by DEFRA as part of its commitment to the Agreement on the Conservation of Small Cetaceans of the Baltic and North Seas, supported attendance at strandings and necropsies. We thank Tony Patterson and Robert Reid for their contributions to data collection in Scotland. R. MacLeod is supported by a Royal Society of Edinburgh Scottish Government Research Fellowship. C. D. MacLeod and R. MacLeod contributed equally to this study and are regarded as joint first authors.

PY - 2014/7

Y1 - 2014/7

N2 - Fear of predation produces large effects on prey population dynamics through indirect risk effects that can cause even greater impacts than direct predation mortality. As yet, there is no general theoretical framework for predicting when and how these population risk effects will arise in specific prey populations, meaning that there is often little consideration given to the key role predator risk effects can play in understanding conservation and wildlife management challenges. Here, we propose that population predator risk effects can be predicted through an extension of individual risk trade-off theory and show for the first time that this is the case in a wild vertebrate system. Specifically, we demonstrate that the timing (in specific months of the year), occurrence (at low food availability), cause (reduction in individual energy reserves), and type (starvation mortality) of a population-level predator risk effect can be successfully predicted from individual responses using a widely applicable theoretical framework (individual-based risk trade-off theory). Our results suggest that individual-based risk trade-off frameworks could allow a wide range of population-level predator risk effects to be predicted from existing ecological theory, which would enable risk effects to be more routinely integrated into consideration of population processes and in applied situations such as conservation.

AB - Fear of predation produces large effects on prey population dynamics through indirect risk effects that can cause even greater impacts than direct predation mortality. As yet, there is no general theoretical framework for predicting when and how these population risk effects will arise in specific prey populations, meaning that there is often little consideration given to the key role predator risk effects can play in understanding conservation and wildlife management challenges. Here, we propose that population predator risk effects can be predicted through an extension of individual risk trade-off theory and show for the first time that this is the case in a wild vertebrate system. Specifically, we demonstrate that the timing (in specific months of the year), occurrence (at low food availability), cause (reduction in individual energy reserves), and type (starvation mortality) of a population-level predator risk effect can be successfully predicted from individual responses using a widely applicable theoretical framework (individual-based risk trade-off theory). Our results suggest that individual-based risk trade-off frameworks could allow a wide range of population-level predator risk effects to be predicted from existing ecological theory, which would enable risk effects to be more routinely integrated into consideration of population processes and in applied situations such as conservation.

KW - bottlenose dolphin

KW - Tursiops truncates

KW - harbor porpoise

KW - Phocoena phocoena

KW - indirect effects individual-based theory

KW - lethal porpoise dolphin interactions

KW - mass-dependent predation risk

KW - nonconsumptive effects

KW - nonlethal predator effects

KW - sandeel

KW - Ammodytes marinus

KW - Scotland

KW - starvation-predation risk trade-off

KW - mediated indirect interactions

KW - bottle-nosed dolphins

KW - harbor porpoises

KW - body-mass

KW - wintering birds

KW - violent interactions

KW - relative importance

KW - Parus-Major

KW - trade-off

U2 - 10.1890/13-1795.1

DO - 10.1890/13-1795.1

M3 - Article

VL - 95

SP - 2006

EP - 2015

JO - Ecology

JF - Ecology

SN - 0012-9658

IS - 7

ER -