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The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990’s, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and behaviors of golden eagles. Over the course of this study 21 golden eagles in the conterminous western US were captured and marked with Argos platform terminal transmitters (PTTs) and tracked by satellite as they moved between breeding and wintering locations (individuals marked with Argos PTTs and tracked by satellite are...
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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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The banding data provides a comprehensive list of where and when each of the 21 golden eagles were captured, tagged (all satellite-tagged, some also radio-tagged) and deployed. The banding data is organized into a spreadsheet (Banding_Records.csv) that provides basic information on each bird as well as any notes about recaptures or deaths. The Capture_Sheets.pdf is a supplemental document that provides more detailed biological and spatiotemporal information about 15 of the tagged individuals. Individual golden eagles can be identified across the three datasets with their unique and consistent PTT numbers.
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The satellite data consist of 9,253 estimated locations of 21 golden eagles (Aquila chrysaetos) that were satellite-tagged in either east-central Idaho (Salmon, Idaho) or southwestern Idaho (Snake River National Conservation Area) and tracked between 1993 and 1997 via the Argos satellite system. The raw eagle tracking data provided by Argos were filtered one time using a version of the Douglas Argos-Filter Algorithm and converted into XLS spreadsheet form. This preservation project preserved the geospatial and satellite information from the XLS spreadsheet and released it in shapefile format (Satellite_Data.shp) and CSV format (Satellite_Data.csv). Each tagged bird in this dataset has a unique PTT number that is...
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Of the 21 golden eagles satellite-tagged in Salmon, Idaho and Snake River National Conservation Area, 10 were also radio-tagged with tail-mounted very high frequency (VHF) transmitters to allow for behavioral observations between 1993 and 1994. The observed data were originally processed as a DIF file. The Data at Risk preservation project transformed the original DIF file data into CSV format and created a shapefile from the geospatial points. The observed data shapefile (Observed_Data.shp) provides the 682 estimated locations of the golden eagles and all behavioral observations taken in the field. The information provided in the Observed dataset can be related to the other two datasets via each bird’s unique PTT...
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the modeled distribution of theGolden eagle (Aquila chrysaetos).Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces),...
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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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Golden eagle (Aquila chrysaetos) nest occurrences within 12 km of the Desert Renewable Energy Conservation Plan area. This dataset was created by merging the DRAFT_BRC_EagleNest_Data and Golden_Eagle_DFG layers, which were provided by the BLM. These data represent nest locations recorded by various California State agencies and their contractors during 2008, 2010, 2012 and potentially other unknown time periods. This dataset is not available for download. Disclaimer: These data are not a complete representation of all available data. There may be additional occurrences within this area which have not yet been surveyed and/or mapped. Lack of information in the this dataset can never be used as proof that no special...
We estimated electrocution rates for raptors and common ravens (Corvus corax) for the Moon Lake Electrical Association in northeastern Utah and northwestern Colorado, USA. From July 2001 to May 2003, we conducted mortality searches at randomly selected distribution line segments and poles within 3 regions, but rate estimates (0.0036–0.0112 deaths/pole/yr) may have been biased by the effects of scavengers and by long sampling intervals (≥3 months), which prevented us from determining the cause of death for most birds because of advanced decay. In 2002–2003, we conducted carcass removal experiments in the Rangely Oil Field (ROF) in northwestern Colorado to estimate scavenging effects, and in 2003–2004, we...
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Areas with high ruggedness (Vector Ruggedness Measure > 0.01; neighborhood size = 270m) used in creating the DRECP golden eagle expert model. The Vector Ruggedness Measure (VRM) was originally derived at 30m resolution, using the 30m NED, and run with a 9x9 (270m) neighborhood size. The resulting VRM dataset was projected to CA Albers Equal Area NAD83 and resampled to 270m resolution to match the DRECP statistical species distribution models. VRM was adapted from a method first proposed by Hobson (1972). See Sappington et al. 2007, for further details. References: Hobson, R.D. 1972. Surface roughness in topography: quantitative approach. Pages 221–245 in R. J. Chorley, editor. Spatial analysis in geomorphology....


    map background search result map search result map Potential GOEA Nesting Areas (High ruggedness), DRECP Golden eagle - Habitat Intactness, DRECP Golden Eagle Nest Occurrences, DRECP Golden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997 Satellite Data, Golden Eagles (Aquila chrysaetos), Western North America, 1993-1997 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 Observational Data, Golden Eagles (Aquila chrysaetos), Idaho and Oregon, United States, 1993-1994 Banding Data, Golden Eagles (Aquila chrysaetos), Idaho, United States, 1993-1996 Detection/non-detection data on territorial pairs of golden eagles in coastal southern California, 2016-2017 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 Observational Data, Golden Eagles (Aquila chrysaetos), Idaho and Oregon, United States, 1993-1994 Banding Data, Golden Eagles (Aquila chrysaetos), Idaho, United States, 1993-1996 Detection/non-detection data on territorial pairs of golden eagles in coastal southern California, 2016-2017 Golden Eagle Nest Occurrences, DRECP Golden eagle - Habitat Intactness, DRECP Potential GOEA Nesting Areas (High ruggedness), DRECP Satellite Data, Golden Eagles (Aquila chrysaetos), Western North America, 1993-1997 Golden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997