2014
DOI: 10.1111/jbi.12298
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Testing the ability of topoclimatic grids of extreme temperatures to explain the distribution of the endangered brush‐tailed rock‐wallaby (Petrogale penicillata)

Abstract: , J. R. (2014). Testing the ability of topoclimatic grids of extreme temperatures to explain the distribution of the endangered brush-tailed rock-wallaby (Petrogale penicillata). Journal of Biogeography, 41 (7), 1402-1413. Testing the ability of topoclimatic grids of extreme temperatures to explain the distribution of the endangered brush-tailed rock-wallaby (Petrogale penicillata) AbstractAim Many species are susceptible to climatic extremes, yet few fine-scale studies consider the factors that determine t… Show more

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Cited by 19 publications
(25 citation statements)
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References 57 publications
(99 reference statements)
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“…While providing useful ecological insight and strong predictive potential, these models largely focus on linking coarse‐scale spatial and climatic data to species distribution records (Hampe, ; Thuiller et al ., ; Elith & Leathwick, ). Importantly, such models generally do not take into account species unique physiological limits under particular environmental conditions or the scale at which species interact with their surroundings (Ashcroft et al ., ). Consequently, predictions are constrained by the exclusion of important mechanistic links between species functional traits and their native microhabitat (Kearney & Porter, ).…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…While providing useful ecological insight and strong predictive potential, these models largely focus on linking coarse‐scale spatial and climatic data to species distribution records (Hampe, ; Thuiller et al ., ; Elith & Leathwick, ). Importantly, such models generally do not take into account species unique physiological limits under particular environmental conditions or the scale at which species interact with their surroundings (Ashcroft et al ., ). Consequently, predictions are constrained by the exclusion of important mechanistic links between species functional traits and their native microhabitat (Kearney & Porter, ).…”
Section: Introductionmentioning
confidence: 97%
“…In contrast to these broad‐scale relationships, recent studies have highlighted the importance of understanding local landscape heterogeneity in the provision of refugia for making more informed predictions of species vulnerability under climate change (Suggitt et al ., ; Ashcroft et al ., ). A multidisciplinary approach, integrating species physiology and ecology, together with their known distributions and environmental data at multiple scales, is necessary to improve predictions of community and species‐level responses (Cooke et al ., ).…”
Section: Introductionmentioning
confidence: 97%
“…Our initial results indicate that remote sensing measures show promise, but that the amalgamation of multiple remote sensing data sets, the improvement of temporal windows and resolution, and the exploration of other variables from satellite data (e.g. temperature extremes; Ashcroft et al 2014) are all avenues that can lead to more accurate niche description and biodiversity modelling in the very near future.…”
Section: Discussionmentioning
confidence: 98%
“…temperature extremes; Ashcroft et al . ) are all avenues that can lead to more accurate niche description and biodiversity modelling in the very near future.…”
Section: Discussionmentioning
confidence: 99%
“…Dobrowski, ; Shoo et al , ). Similarly, topography‐driven temperature extremes, high winds, solar radiation variability and low moisture conditions can be influential on many aspects of plant (Körner, ) and animal (Ashcroft et al , ) physiological function and population dynamics in high‐elevation zones. However, many of these topoclimatic studies have been based on data collected via in situ sensors for particular point locations and typically for a relatively limited time range (e.g.…”
Section: Introductionmentioning
confidence: 99%