2007
DOI: 10.1111/j.1365-2664.2007.01431.x
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Can multiscale models of species’ distribution be generalized from region to region? A case study of the koala

Abstract: Summary 1.While various studies have evaluated the habitat requirements for wildlife in fragmented forest landscapes at multiple spatial scales, few have considered whether there is regional variation in the most important factors. This is a conundrum for managers of any species with a broad geographical range: to what extent should studies in one region inform decisions in another? 2. We addressed this question using a case study of the koala, Phascolarctos cinereus , in three biogeographically different frag… Show more

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Cited by 114 publications
(124 citation statements)
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“…However, conservation professionals and landscape ecologists generally work at scales beyond the 7-ha reserve that we studied. For example, one previous multiscale model of koala habitat selection considered factors operating from the tree scale through the stand scale and patch scale to factors varying at a landscape scale of hundreds to thousands of hectares (McAlpine et al 2008). Reynolds (2008) has commented that two major challenges in spatial ecology are to understand the effects of landscape heterogeneity on animal movement and to translate observations taken at small spatial and temporal scales into expected patterns at greater scales.…”
Section: Discussionmentioning
confidence: 99%
“…However, conservation professionals and landscape ecologists generally work at scales beyond the 7-ha reserve that we studied. For example, one previous multiscale model of koala habitat selection considered factors operating from the tree scale through the stand scale and patch scale to factors varying at a landscape scale of hundreds to thousands of hectares (McAlpine et al 2008). Reynolds (2008) has commented that two major challenges in spatial ecology are to understand the effects of landscape heterogeneity on animal movement and to translate observations taken at small spatial and temporal scales into expected patterns at greater scales.…”
Section: Discussionmentioning
confidence: 99%
“…AUC values were estimated in each simulation for both training and test datasets. After the 1000 simulations, the mean and upper and lower 95% CI of the AUC of both training and test dataset were used as a cross-validation measure of the predictive performance of the averaged model (McAlpine et al 2008). If the lower 95% CI limit does not include the 0.5 value, then there is evidence that the model has an ability to discriminate between the 2 groups (Hanley & McNeil 1982).…”
mentioning
confidence: 99%
“…Food availability and quality have been found to be important in determining the viability of koala populations (Gordon et al 1988;McAlpine et al 2008), so habitats with more favourite food trees would be preferred by koalas and used more frequently. Results of this study suggest that habitats with higher water availability, mainly riparian habitat, provide higher food availability and quality for koalas, which agrees with the findings of previous studies.…”
Section: Impacts Of Water Availability On Koalas In Southwest Queenslandmentioning
confidence: 99%