2013
DOI: 10.18195/issn.0313-122x.81.2013.183-204
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Islands and scales: a biogeographic survey of reptiles on Kimberley islands, Western Australia

Abstract: -The Northern Kimberley region in north-western Australia has high biodiversity and conservation values, including a rich herpetofauna with high levels of endemism. To date, the numerous islands off the coast have been little surveyed. We surveyed 24 of the largest islands along the Kimberley coast for reptiles between 2007 and 2010, to improve our understanding of biogeographical patterns of the region and to locate populations of species that may be threatened by factors including changed fi re regimes and C… Show more

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Cited by 16 publications
(34 citation statements)
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References 39 publications
(63 reference statements)
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“…The sampling strategy used was specifi c to each of the targeted taxonomic groups and detailed elsewhere (see Doughty et al 2012;Gibson and Köhler 2012;Gibson and McKenzie 2012b;McKenzie and Bullen 2012;Pearson et al 2013;Palmer et al 2013;Lyons et al 2013). We aimed to sample each of the taxonomic groups as systematically as possible within each of the selected habitat types.…”
Section: Species Datamentioning
confidence: 99%
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“…The sampling strategy used was specifi c to each of the targeted taxonomic groups and detailed elsewhere (see Doughty et al 2012;Gibson and Köhler 2012;Gibson and McKenzie 2012b;McKenzie and Bullen 2012;Pearson et al 2013;Palmer et al 2013;Lyons et al 2013). We aimed to sample each of the taxonomic groups as systematically as possible within each of the selected habitat types.…”
Section: Species Datamentioning
confidence: 99%
“…The relatively larger islands such as Augustus, Bigge and Boongaree tended to be the focus of previous surveys, however correlations between island area and survey effort were low to moderate (bats: 0.37; birds: 0.56; reptiles: 0.57; non-volant mammals: 0.62), suggesting a limited bias. The likelihood of false absences and their implications, as well as the adequacy of the sampling more generally, are further discussed in the relevant papers focusing on each taxonomic group (see Doughty et al 2012;Gibson and Köhler 2012;Gibson and McKenzie 2012b;McKenzie and Bullen 2012;Pearson et al 2013;Palmer et al 2013;Lyons et al 2013). While our knowledge on each of the taxonomic groups we sampled on individual islands is likely to be incomplete, the KIBS substantially improved this knowledge, and the analyses revealed strong Results of AIC c -based model selection for the species richness of Northern Kimberley endemic species on the islands sampled during the KIBS (four most supported models shown); also shows maximised loglikelihood function [log(L)], number of model parameters (K), AIC c differences (Δ i ), Akaike weights (w i ) and percent of deviance explained by each model (%Dev).…”
Section: Data and Analysis Limitationsmentioning
confidence: 99%
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