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   "description": "Sage-Grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries.HABITAT CATEGORY DETERMINATIONThe process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat \u2018quality\u2019 classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD.2) Moderate > 0.5 and < 1.0 SD. 3) Low < 1.0 . 4) Non-Habitat > 1.5 SD. Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California\u2014A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online)REFERENCES Beyer HL. 2012. Geospatial Modelling Environment (Version 0.7.2.0). http://www.spatialecology.com/gmeCoates PS, Casazza ML, Blomberg EJ, Gardner SC, Espinosa SP, Yee JL, Wiechman L, Halstead BJ. 2013. \u201cEvaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems.\u201d The Journal of Wildlife Management 77: 1598-1609.Doherty KE, Tack JD, Evans JS, Naugle DE. 2010. Mapping breeding densities of greater sage-grouse: A tool for range-wide conservation planning. Bureau of Land Management. Report Number: L10PG00911. Accessed at: http://www.conservationgateway.org/ConservationByGeography/NorthAmerica/Pages/sagegrouse.aspx# Duong T. 2012. ks: Kernel smoothing. R package version 1.8.10. http://CRAN.R-project.org/package=ksHorne JS, Garton EO. 2006. \u201cLikelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis.\u201d Journal of Wildlife Management 70: 641-648.Silverman BW. 1986. Density estimation for statistics and data analysis. Chapman & Hall, London, United Kingdom.Vander Wal E, Rodgers AR. 2012. \u201cAn individual-based quantitative approach for delineating core areas of animal space use.\u201d Ecological Modelling 224: 48-53.NOTE: This file does not include habitat areas for the Bi-State management area.",
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