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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 dataset contains detection-nondetection data for territorial pairs of Golden Eagles at survey sites randomly selected from a grid of equal-sized (13.9 km2) hexagonal sample cells overlaid across the region of interest in Coastal Southern California during 2016 and 2017. We partitioned surveys within seasons based on approximate transition dates for stages in the breeding cycle of golden eagles in the study region: courtship (15 Dec-28 Feb), incubation (1 Mar-30 Apr), nestling (1 May-15 Jun), and the fledging-dependency period (16 June-Jul 30), totaling 4 possible sampling periods per year. This dataset also describes the proportion of land-cover types from four general categories (urban, open grassland, scrub...
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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,...
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We studied >500 golden eagles tracked by telemetry over a 10-year period in western North America, of which 160 engaged in non-routine, long-distance (>300 km) movements. We identified spatial and temporal correlates of those movements at both small and large scales, and we quantified movement timing and direction. We further tested which age and sex classes of eagles were more likely to engage in these movements. This dataset includes data on daily distances and their correlates, long-distance event distances and durations and their correlates, event timing and directions, and eagle ages and sexes.


    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." Detection/non-detection data on territorial pairs of golden eagles in coastal southern California, 2016-2017 Long-distance movements of non-migratory golden eagles in western North America, 2007-2017 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." Detection/non-detection data on territorial pairs of golden eagles in coastal southern California, 2016-2017 Long-distance movements of non-migratory golden eagles in western North America, 2007-2017