Filters: Tags: Golden Eagle (X) > Types: Downloadable (X)
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This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
Road densities derived from the TIGER data were analyzed to determine the relationship between road density and golden eagle potential suitable habitat. The quality of a HUC in relation to road density was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to road density by >10 km/km2 = good, 5-10 km/km2 = fair, and 2 = poor.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
The overall score was used to contrast the NGB ecoregion to highlight analysis units within golden eagle modeled habitat based on the cumulative indicator score.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Cumulative Indicator Score,
DOI,
Geospatial,
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
Agricultural areas data were extracted from the REA Cropland data layer and analyzed to determine the distance from golden eagle potential suitable habitat. The quality of a HUC in relation to distance to agricultural areas was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to distance from agricultural areas by >5km = good, 1-5km = fair, and
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
This dataset was created for use in the BLM REA threat assessment analyis for the golden eagle in the Middle Rockies Ecoregion. This data set contains the Maxent modeled species distribution raster layer for the golden eagle in the Middle Rockies Ecoregion based on the WYNDD distribution model. This data is intended for use at the ecoregional level and was derived solely from spatial environmental attributes and known golden eagle nest site locations.Unverified datasets have not yet been approved for release by the appropriate Bureau of Land Management (BLM) manager. The Freedom of Information Act (FOIA) exemptions may apply to all or part of the data. Unverified data are not considered “draft” because all three...
Foraging habitat extent was derived from Existing Vegetation Type (EVT) landcover data to determine the extent of golden eagle potential suitable habitat. The quality of a HUC in relation to habitat extent was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to foraging habitat extent within a HUC (10) watershed or BLM 4km Grid by HUC = 70-100% or Grid = 72-100% = good, HUC = 37-70% or Grid = 32-72% = fair, and HUC = 0-37% or Grid = 0-32% = poor.
Urban/exurban area data were extracted from GAP landcover data and analyzed to determine the distance from golden eagle potential suitable habitat. The quality of a HUC in relation to distance to urban/exurban areas was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to distance from urban/exurban areas by >15km = good, 6-15km = fair, and
This data set contains the output values for the golden eagle threat assessment in relation to the 6th Level HUC unit. These values were created using the analysis tools in the associated toolbox (MIR_Golden_Eagle_Analysis_175407.tbx). This data layer contains the output values for all of the change agents used in the analysis of the golden eagle.
Vegetation condition class is based on departure of current vegetation conditions from reference vegetation conditions only. Wildfire is one of the main components that would alter the VCC from historical reference state.
This data set is comprised of a potential distribution model for the golden eagle within the Middle Rockies Ecoregion.
This data set is comprised of a potential distribution model for the golden eagle within the Northwest Plains Ecoregion.
Wind turbines from the USFWS were analyzed to determine the distance from golden eagle potential suitable habitat. The quality of a HUC in relation to distance to wind turbines was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to distance from wind turbines by >16km = good, 10-16km = fair, and
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