2007
DOI: 10.1007/s10531-007-9281-4
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Developing landscape habitat models for rare amphibians with small geographic ranges: a case study of Siskiyou Mountains salamanders in the western USA

Abstract: To advance the development of conservation planning for rare species with small geographic ranges, we determined habitat associations of Siskiyou Mountains salamanders (Plethodon stormi) and developed habitat suitability models at Wne (10 ha), medium (40 ha), and broad (202 ha) spatial scales using available Geographic Information Systems data and logistic regression analysis with an information theoretic approach. Across spatial scales, there was very little support for models with structural habitat features… Show more

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Cited by 39 publications
(21 citation statements)
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“…We then dismissed the climate variable with the lower explanatory power according to the Akaike information criterion (AIC). The chosen correlation threshold allowed fitting of linear models (degrees of freedom ≥ 1), and it was in the range of previously reported values (| r |= 0.4 in Suzuki et al, 2008, | r |= 0.85 in Elith et al, 2006). In the second step, we selected those climate variables from the collinearity-corrected data sets that resulted in the best linear regression models with 1 up to k variables, with k being the number of climate variables after collinearity correction.…”
Section: Statisticsmentioning
confidence: 83%
“…We then dismissed the climate variable with the lower explanatory power according to the Akaike information criterion (AIC). The chosen correlation threshold allowed fitting of linear models (degrees of freedom ≥ 1), and it was in the range of previously reported values (| r |= 0.4 in Suzuki et al, 2008, | r |= 0.85 in Elith et al, 2006). In the second step, we selected those climate variables from the collinearity-corrected data sets that resulted in the best linear regression models with 1 up to k variables, with k being the number of climate variables after collinearity correction.…”
Section: Statisticsmentioning
confidence: 83%
“…We constructed a set of AVs from each dataset using Arcview GIS 3.3: (1) the mean density of human population, (2) the proportion of agriculture area, (3) the proportion of urban area. To account for scale effects (Meyer and Thuiller 2006;Suzuki et al 2008), these variables were summarized across circular buffers with radii of 5, 15 and 25 km centered at survey sites. The proportion of agriculture area was calculated as the sum of the proportions of the CLC categories associated with intensive agricultural practices.…”
Section: Anthropogenic and Natural Factorsmentioning
confidence: 99%
“…For the Appalachian Mountains, these differences generally mean a more xeric landscape for south‐facing slopes and more mesic conditions on northerly slopes (Desta, Colbert, Rentch, & Gottschalk, ). Lungless salamanders are dependent on moist microhabitats (Peterman & Semlitsch, ), and thus northern slopes are generally more favorable and this has been shown to be important in describing salamander abundance in other species such as Plethodon stormi (Suzuki, Olson, & Reilly, ) and in Salamandrina (Romano et al, ). Although species abundance and gene flow are not directly related, it is not unreasonable to expect areas with lower abundance to correlate with increased dispersal resistance.…”
Section: Discussionmentioning
confidence: 99%