2013
DOI: 10.1016/j.jnc.2012.11.005
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Using species distribution and occupancy modeling to guide survey efforts and assess species status

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Cited by 62 publications
(50 citation statements)
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“…The predictive value of the model depends not only on the accuracy of the models with respect to capturing the selected components of habitat, but also on the extent to which typically selected habitats are occupied (and typically unselected habitats unoccupied), which can only be determined through independent future surveys guided by the model (e.g., Peterman et al 2013). Such surveys would produce an estimate of occupancy within predicted-presence (and predicted-absence) habitat, which also would provide the basis to estimate the abundance of Sacramento Valley red foxes from locally obtained data on home range and family group size.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The predictive value of the model depends not only on the accuracy of the models with respect to capturing the selected components of habitat, but also on the extent to which typically selected habitats are occupied (and typically unselected habitats unoccupied), which can only be determined through independent future surveys guided by the model (e.g., Peterman et al 2013). Such surveys would produce an estimate of occupancy within predicted-presence (and predicted-absence) habitat, which also would provide the basis to estimate the abundance of Sacramento Valley red foxes from locally obtained data on home range and family group size.…”
Section: Discussionmentioning
confidence: 99%
“…However, when little is known about the correlates of a species' distribution over large regions, presence-only data can provide a more efficient and practical means of developing preliminary distribution models, which, in turn, can be used to guide more efficient and robust occupancy surveys in the future Peterman et al 2013). When sample sizes allow, likelihood-based resource selection functions (Johnson et al 2006) combined with information-theoretic methods of model selection and averaging (Burnham and Anderson 2002) offer powerful presence-only approaches to statistically test selection of land-cover types and estimate probabilities of occurrence .…”
Section: Introductionmentioning
confidence: 99%
“…Our results add to the body of evidence on the relevance of ecological niche models for predicting local and regional occurrence of species within their native ranges (Trumbo et al 2011;Peterman et al 2013), and in novel environments (Gormley et al 2011;Vaclavik and Meentemeyer 2012). While climate alone may oversimplify the spatial extent of invasions, ecological niche models for patchily-distributed generalist species are a reliable alternative to using data intensive methods that require substantial resources and foresight.…”
Section: Discussionmentioning
confidence: 58%
“…Using these methods to thoroughly search every site and given the small area searched at each site (< 5 m 2 salamanders (adults, larvae, and eggs) within each site once during the course of the study we could not estimate detection probabilities (Mazerolle et al 2007). Other studies have estimated detection probabilities for Ambystoma from 0.459 to 0.89 (Corn et al 2005, Hossack and Corn 2007, Gorman et al 2009, Peterman et al 2013; however, all of these refer to larger pond or wetland habitats and not to streams or sites as small as our sites. Detection probabilities of nonambystomatid salamanders in streams range from 0.39-0.96 (Jung et al 2005, Kroll et al 2010.…”
Section: Methodsmentioning
confidence: 80%