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Beyond spatial overlap: harnessing new technologies to resolve the complexities of predator–prey interactions

Authors :
Justin P. Suraci
Justine A. Smith
Simon Chamaillé‐Jammes
Kaitlyn M. Gaynor
Menna Jones
Barney Luttbeg
Euan G. Ritchie
Michael J. Sheriff
Andrew Sih
Conservation Science Partners
University of California [Davis] (UC Davis)
University of California (UC)
Centre d’Ecologie Fonctionnelle et Evolutive (CEFE)
Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM)
University of Pretoria [South Africa]
University of California [Santa Barbara] (UC Santa Barbara)
University of Tasmania [Launceston] (UTAS)
Oklahoma State University [Stillwater] (OSU)
Deakin University [Burwood]
University of Massachusetts [Dartmouth]
University of Massachusetts System (UMASS)
ANR-16-CE02-0001,LANDTHIRST,Les paysages de la soif: changement climatique et ajustements comportementaux face au manque d'eau(2016)
Source :
Oikos, Oikos, 2022, 2022 (8), ⟨10.1111/oik.09004⟩
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

International audience; Predation risk, the probability that a prey animal will be killed by a predator, is fundamental to theoretical and applied ecology. Predation risk varies with animal behavior and environmental conditions, yet attempts to understand predation risk in natural systems often ignore important ecological and environmental complexities, relying instead on proxies for actual risk such as predator-prey spatial overlap. Here we detail the ecological and environmental complexities driving disconnects between three stages of the predation sequence that are often assumed to be tightly linked: spatial overlap, encounters, and prey capture. Our review highlights several major sources of variability in natural predator-prey systems that lead to the decoupling of spatial overlap estimates from actual encounter rates (e.g., temporal activity patterns, predator and prey movement capacity, resource limitations) and that affect the probability of prey capture given encounter (e.g., predator hunger levels, temporal, topographic, and other environmental influences on capture success). Emerging technologies and statistical methods are facilitating a transition to a more spatiotemporally detailed, mechanistic understanding of predator-prey interactions, allowing for the concurrent examination of multiple stages of the predation sequence in mobile, free-ranging animals. We describe crucial applications of this new understanding to fundamental and applied ecology, highlighting opportunities to better integrate ecological contingencies into dynamic predator-prey models and to harness a mechanistic understanding of predator-prey interactions to improve targeting and effectiveness of conservation interventions.

Details

ISSN :
16000706 and 00301299
Volume :
2022
Database :
OpenAIRE
Journal :
Oikos
Accession number :
edsair.doi.dedup.....1827a7b796cb79cd217c5ff0d7b06d91
Full Text :
https://doi.org/10.1111/oik.09004