2020
DOI: 10.1007/s00442-020-04773-y
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Among-individual differences in foraging modulate resource exploitation under perceived predation risk

Abstract: Foraging is risky and involves balancing the benefits of resource acquisition with costs of predation. Optimal foraging theory predicts where, when and how long to forage in a given spatiotemporal distribution of risks and resources. However, significant variation in foraging behaviour and resource exploitation remain unexplained. Using single foragers in artificial landscapes of perceived risks and resources with diminishing returns, we aimed to test whether foraging behaviour and resource exploitation are ad… Show more

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Cited by 28 publications
(24 citation statements)
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“…Although empirical and experimental studies are an essential step to test predictions of the density-dependence POLS framework, exploring its utility first by resorting to modelling appears plausible to inform subsequent experiments. Here, we present a spatially explicit agent-based model that integrates two heritable traits: 1) the responsiveness (as reactivity towards environmental cues sensu Wolf et al 2008) to differences in resource extractability (harvest rates) in the landscape as a fundamental behavioral trait, which is testable in empirical studies (Oudman et al 2018;Eccard et al 2020) and relates to multiple behavioral traits associated with the POLS (Wolf et al 2008;Zwolak and Sih 2020), and 2) the reproductive investment threshold as a life-history trait representing capital breeding (Stephens et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Although empirical and experimental studies are an essential step to test predictions of the density-dependence POLS framework, exploring its utility first by resorting to modelling appears plausible to inform subsequent experiments. Here, we present a spatially explicit agent-based model that integrates two heritable traits: 1) the responsiveness (as reactivity towards environmental cues sensu Wolf et al 2008) to differences in resource extractability (harvest rates) in the landscape as a fundamental behavioral trait, which is testable in empirical studies (Oudman et al 2018;Eccard et al 2020) and relates to multiple behavioral traits associated with the POLS (Wolf et al 2008;Zwolak and Sih 2020), and 2) the reproductive investment threshold as a life-history trait representing capital breeding (Stephens et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…A majority of the existing literature on landscapes of fear focuses on large mammals, invertebrates or birds (Gaynor et al 2019), and those that focus on small mammals almost exclusively examine giving‐up densities (reviewed by Bleicher 2017). Although very few studies address the role of individual variation in perceived predation risk (Eccard et al 2020, Steinhoff et al 2020), this is a crucial step towards understanding how the spatial variation in perceived predation risk may influence forest ecosystems via the foraging decisions of scatter‐hoarding small mammals.…”
Section: Introductionmentioning
confidence: 99%
“…In field experiments, Dammhahn and Almeling (2012) examined boldness on risk‐sensitive foraging of grey mouse lemurs Microcebus murinus under high and low predation risk, and Brehm et al (2019) demonstrated that personality affected how free‐living deer mice Peromyscus maniculatus and southern red‐backed voles Myodes gapperi interacted with and dispersed seeds of varying sizes (a proxy for risky behavior). Further, only a few studies address personality and foraging in the landscape of fear; Steinhoff et al (2020) examined how personality affected risk‐taking and foraging behavior of jumping spiders Marpissa muscosa , and Eccard et al (2020) explored how personality affected the response of common voles Microtus arvalis to either a safe or a risky food patch within an enclosure. While the aforementioned studies provide foundational evidence that personality affects the interaction of scatter‐hoarders with seeds, three critical knowledge gaps still exist.…”
Section: Introductionmentioning
confidence: 99%
“…Inter-individual variability may arise either from consistent differences between individuals (i.e., 'individuality' (Beauchamp, 2001;Eccard et al, 2020;Gosling, 2001; Gosling and John, 1999;Hasenjager et al, 2020;Honegger and de Bivort, 2018;Massol and Crochet, 2008;Nettle, 2006;RĂ©ale et al, 2007;Sih et al, 2004;Verbeek et al, 1994;Wolf et al, 2007)), and/or by individuals generally behaving inconsistently over time (i.e., 'spontaneity'; (Brembs, 2011;De Felice and Holland, 2018;Lichtenstein et al, 2017;Maye et al, 2007;Morgan and Neuringer, 1990;Jensen, 2013, 2010)). Of course, individuals may also differ consistently in their variability (Hertel et al, 2020).…”
Section: Introductionmentioning
confidence: 99%