2013
DOI: 10.1111/gcb.12469
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Prey switching as a means of enhancing persistence in predators at the trailing southern edge

Abstract: Understanding the effects of climate change on species' persistence is a major research interest; however, most studies have focused on responses at the northern or expanding range edge. There is a pressing need to explain how species can persist at their southern range when changing biotic interactions will influence species occurrence. For predators, variation in distribution of primary prey owing to climate change will lead to mismatched distribution and local extinction, unless their diet is altered to mor… Show more

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Cited by 43 publications
(52 citation statements)
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References 57 publications
(114 reference statements)
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“…snowshoe hare Lepus americanus ) or competitor (e.g. bobcat Lynx rufus ) species, causing a northward shift in lynx distribution (Peers et al , ). Our analysis cannot disentangle these alternative possibilities, although it has long been thought that low‐latitude range margins in general are controlled primarily by biotic factors (MacArthur , Sexton et al ).…”
Section: Discussionmentioning
confidence: 99%
“…snowshoe hare Lepus americanus ) or competitor (e.g. bobcat Lynx rufus ) species, causing a northward shift in lynx distribution (Peers et al , ). Our analysis cannot disentangle these alternative possibilities, although it has long been thought that low‐latitude range margins in general are controlled primarily by biotic factors (MacArthur , Sexton et al ).…”
Section: Discussionmentioning
confidence: 99%
“…Notably, our criteria excluded migratory species, as well as those having more generalized habitat requirements that extended substantially outside the boreal forest. We also excluded Canada lynx ( Lynx canadensis ), which met our criteria but whose distribution closely matches that of snowshoe hares ( Lepus americanus ), their primary prey [33]. Note that we previously examined potential lynx population connectivity relative to climate change [15].…”
Section: Methodsmentioning
confidence: 99%
“…Given the large number of potential environmental variables, we included sets of bioclimatic variables that we thought a priori would be biologically relevant [33], and these environmental data were resampled to 10 X 10 km grid cell size. In total, eight bioclimatic variables were included in the final MaxEnt modeling (annual mean temperature, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature seasonality, annual precipitation, precipitation seasonality, precipitation of the wettest quarter, and precipitation of the driest quarter, see Figure C in S1 File).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, the inclusion of biotic information including prey distribution in bioclimatic models will certainly improve current and future predictions of predator distribution and thereby also reduce uncertainty (Peers et al. ). While the distribution of snow leopard (predator) influences the distribution of blue sheep (prey) and vice versa (Aryal et al.…”
Section: Introductionmentioning
confidence: 99%