Filters: Tags: NGB 2011 (X)
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Idaho Wetlands
Percent slope was analyzed by modeling the USGS NED raster for slope values. The slope grid was then reclassified into three categories reflecting the pronghorn’s preference for flat landscapes. Slope values of 5% or less were categorized as preferred and those above 20% were low quality.
Greater sage-grouse key ecological attributes (burn probability, distance to transmission lines, agriculture, etc) were added together to determine an overall score for the analysis unit within the greater sage-grouse PPH.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Cumulative Indicator Score,
DOI,
Geospatial,
303(d) listed waterways was downloaded from the EPA website. Areas listed as 303(d) were extracted and compared to the overall amount of non 303(d) waterways to establish a percentage of waterways that were 303(d).
The current Western juniper viablitly was clipped to the ecoregion.
National burn probability (BP) and fire intensity level (FIL) raster datasets for the United States were generated for the 2012 Fire Program Analysis (FPA) System submissions using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011). The data presented here are the burn probabilities for the conterminous US at a 270-meter grid spatial resolution. Data for Alaska, Hawaii, and Puerto Rico are available separately, as are the six FIL datasets. The six FILs correspond to flame-length classes as follows: FIL1 =
U.S. Cities represents locations for cities within United States with populations of 10,000 or greater (based on Census 2000 figures), all state capitals, and the national capital.This dataset was used in the Northern Great Basin Rapid Ecoregional Assessment by BLM. No changes were made to the data but the dataset reduced to only included certain cities/towns within the 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
NDOW provided the Ruby Pipeline for Nevada
This dataset was developed by the USGS for use in regional climate simulation analyses. These data were applied in the BLM REA analysis for the NGB ecoregion. For more information pertaining to these data and climate modeling, please refer to http://regclim.coas.oregonstate.edu/.
303(d) listed waterways was downloaded from the EPA website. Areas listed as 303(d) were extracted and compared to the overall amount of non 303(d) waterways to establish a percentage of waterways that were 303(d).
Using the NED elevation dataset, the following equation was used to determine the steepness. If percent slope was greater than or e qual to 9% then:Steepness (S) = 16.8 x Sin (Slope Angle) - 0.50Steepness (S) = 10.8 x Sin (Slope Angle) + 0.03
This dataset was developed by the USGS for use in regional climate simulation analyses. These data were applied in the BLM REA analysis for the NGB ecoregion. For more information pertaining to these data and climate modeling, please refer to http://regclim.coas.oregonstate.edu/.
USGS stream gages within the ecoregion. This layer was created from a CSV file downloaded from the USGS NWIS website. There was no metadata that could be found for stream gages as this data is outputed as graphs or tables on demand from their website. http://waterdata.usgs.gov/usa/nwis/rt
NNHP provided weed data but not metadata accompanied the data.
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