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GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region

Dates

Publication Date
Time Period
2016

Citation

Doctor, D.H., Young, J.A., Christman, M.C., Niemiller, M.L., Zigler, K.S., Weary, D.J., and Culver, D.C., 2016, GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F76D5R2H.

Summary

Cave-limited species display patchy and restricted distributions, but are challenging to study in-situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management goals can be more easily obtained. These GIS data represent the input and results of a spatial statistical model used to examine the hypothesis that the presence of major faunal groups [...]

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GIS_data_for_predicting_cave_fauna_in_the_AppLCC_Region.xml
Original FGDC Metadata

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Purpose

These GIS datasets were produced in support of the project entitled “Classification and Mapping of Cave and Karst Resources” for the region encompassing the Appalachian Landscape Conservation Cooperative (LCC). The results of this project are divided into a series of geospatial information layers (shapefiles and raster data). The files provide a comprehensive overview of data availability on obligate cave-dwelling fauna and bat ranges useful for examining relationships between environmental factors and biological diversity and distribution within karst areas of the Appalachian LCC.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F76D5R2H

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