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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > National CASC > FY 2009 Projects > How will Mammals in the Alpine Zone of the Sierra Nevada Mountains Respond to Future Climate? ( Show direct descendants )

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_____How will Mammals in the Alpine Zone of the Sierra Nevada Mountains Respond to Future Climate?
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Species with different ecological niches will likely exhibit distinct responses to a changing environment. Differences in the magnitude of niche specialization may also indicate which species may be more vulnerable to environmental change, as many life-history characteristics are known to affect climate change vulnerability. We characterized the niche space of three sympatric high-elevation ground-dwelling squirrels, yellow-bellied marmot (Marmota flaviventer), Belding's ground squirrel (Urocitellus beldingi), and golden-mantled ground squirrel (Callospermophilus lateralis), in the alpine and upper subalpine regions of the Sierra Nevada in California. We used 5879 observations of individual squirrels, collected...
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Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/joc.3835/abstract): Climate models may be limited in their inferential use if they cannot be locally validated or do not account for spatial uncertainty. Much of the focus has gone into determining which interpolation method is best suited for creating gridded climate surfaces, which often a covariate such as elevation (Digital Elevation Model, DEM) is used to improve the interpolation accuracy. One key area where little research has addressed is in determining which covariate best improves the accuracy in the interpolation. In this study, a comprehensive evaluation was carried out in determining which covariates were most suitable for interpolating climatic...
This article is a product from the project "Can Mammals Mediate Climatically-Induced Vegetation Transitions in Alpine Ecosystems of the Western United States?". Abstract: It is very common that only presence data are available in ecological niche modeling. However, most existing methods for evaluating the accuracy of presence–absence (binary) predictions of species require presence–absence data. The aim of this study is to present a new method for accuracy assessment that does not rely on absence data. Two new statistics Fpb and Fcpb were derived based on presence–background data. With generated six virtual species, we used DOMAIN, generalized linear modeling (GLM), and maximum entropy (MAXENT) to produce different...