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Filters: Tags: San Diego (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Jeff A Tracey (X)

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The data set consists of 12 input data rasters that cover San Diego County, California. These input rasters represent criteria used in a Pareto ranking algorithm in the manuscript. These include three rasters related to fire threats, three rasters related to habitat fragmentation threats, four rasters related to species biodiversity, and two rasters related to genetic biodiversity. (see the PLOS ONE paper for details). These data support the following publication: Tracey JA, Rochester CJ, Hathaway SA, Preston KL, Syphard AD, Vandergast AG, et al. (2018) Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management. PLoS ONE 13(9): e0200203. https://doi.org/10.1371/journal.pone.0200203
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This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey,...


    map background search result map search result map Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management." Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Raster data files for “Prioritizing conserved areas threatened by wildfire for monitoring and management."