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The Individual Tree Species Parameter Maps (ITSP) were developed to support the National Insect and Disease Risk Map (NIDRM) since insect and disease risk is often driven by the density of a given species. While similar to the Tree Atlas, the ITSP project mapped basal area and stand density index for each individual tree species. The parameter products are based on 30 meter Landsat satellite data, climate, terrain, and soil predictor layers and ground samples from the USFS Forest Inventory and Analysis plot data. Many other applications and analyses requiring tree species density could benefit from this spatially refined dataset. Data were supplied to USGS by Vern Thomas from the USDA Forest Service in Fort Collins....
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Structural connectivity of baseline mule deer crucial winter range in the Wyoming Basin Rapid Ecoregional Assessment project area. We mapped the structural connectivity for local connectivity (1.8km), landscape connectivity (5.31km), and regional connectivity (11.79km).. See Chapter 2 Assessment Framework and Appendix of the Wyoming Basin REA Open File Report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
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This map shows the current predicted distribution of desert tortoise (Mojave and Sonoran populations), along with current and near-term status, and long term potential for change. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated...
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Distance (m) to Perennial Water within the Wyoming Basins Ecoregional Assessment area, produced by Hanser and others, 2011 (Hanser, S. E., M. Leu, S. T. Knick, and C. L. Aldridge, eds. 2011. Sagebrush ecosystem conservation and management: ecoregional assessment tools and models for the Wyoming Basins. Allen Press, Lawrence, KS.) http://sagemap.wr.usgs.gov/wbea.aspx#CAdata
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To map connectivity, we assessed development levels for relatively undeveloped areas based on the regional Terrestrial Development Index (TDI) map (TDI scores less than or equal to 1 percent), and then used the resulting output to calculate patch size and structural connectivity metrics. We mapped the structural connectivity of relatively undeveloped areas (TDI less than or equal to 1 percent) at three inter patch distances based on connectivity analysis; local (1.8 km), landscape (2.25 km), and regional (3.51 km) scales. See Chapter 2 Assessment Framework and Appendix of the Wyoming Basin REA Open File Report for additional details at http://pubs.usgs.gov/of/2013/1223/.
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Terrestrial Development Index (TDI) for transportation in the Wyoming Basin REA project area. TDI scores are based on the percent of transportation surface disturbance footprint from development within a 2.25 km radius moving window for a 15m cell size. The TDI quantifies the total area of transportation surface disturbance footprint. TDI scores range from 0 to 100 percent and were divided into seven classes for visualization purposes. Because the development scores are continuous, alternative classes can be used to display the data to address a particular management question. For additional information see the Development Chapter 4 and the Appendix in the Wyoming Basin REA Open File Report.
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Average annual temperature for 2076-2090 projected by the GFDL 2.1 GCM run 1 driven by the A2 emissions scenario at 1/8 degree latitude-longitude (approximately 12km by 12 km) over the Wyoming Basin and surrounding areas. BCSD data downloaded the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections," archived at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/.
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The 303(d) Listed Impaired Waters program system provides impaired water data and impaired water features reflecting river segments, lakes, and estuaries designated under Section 303(d) of the Clean Water Act. Each State will establish Total Maximum Daily Loads (TMDLs) for these waters. Note the CWA Section 303(d) list of impaired waters does not represent waters that are impaired but have an EPA approved TMDL established, impaired waters for which other pollution control mechanisms are in place and expected to attain water quality standards, or waters impaired as a result of pollution and is not caused by a pollutant; therefore, the "Impaired Waters" layers do not represent all impaired waters reported in a state's...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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Current Bioclimatic envelope for Aspen. Data from Rehfeldt, G.E., Crookston, H.L., SaenzRomero, C, and Campbell, E.M., 2012, North 1 American vegetation model for land use planning in a changing climate. A solution to large 2 classification problems: Ecological Applications, v. 22, no. 1, p. 119 to 141.
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The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. EVH is determined by the average height weighted by species...
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This creates a Terrestrial Development Index score using just energy, minerals, roads, and railroads to address a management question for mule deer. There is evidence from the published literature that mule deer avoid these development variables, so we used a subset of the overall TDI input variables to evaluate.
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Average winter (Jan-March) precipitation for 2046-2060 projected by the GFDL2.1 GCM run 1 driven by the A2 emissions scenario at 1/8 degree latitude-longitude (approximately 12km by 12 km) over the Wyoming Basin and surrounding areas. BCSD data downloaded the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections," archived at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/.
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Downloaded from Idaho Department of Water Resources http://www.idwr.idaho.gov/GeographicInfo/GISdata/gis_data.htm. Contains information on water rights, water rights permits, minimum stream flow for Idaho.
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This dataset represents the consolidated submissions for non-energy minerals and prospecting permit application data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. It is intended solely for use in the GRSG cumulative effects analysis. Source data, their acquisition methods and errors/omission rate vary. All original datasets used to create this dataset are stored in the BLM’s NOC E-GIS file structure. The paths to the original data are stored in this file’s attribute table. See the source data for detailed metadata and error analysis. Processing to develop this dataset: 1. Added a "Source" field to the attribute table of the original submission. 2. Populated...
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This data was collected by the U.S. Bureau of Land Management (BLM) in Colorado. This dataset is meant to depict the surface owner or manager of the land parcels. In the vast majority of land parcels, they will be one and the same. However, there are instances where the owner and manager of the land surface are not the same. When this occurs, the manager of the land is usually indicated.


map background search result map search result map BLM GRSG BER: Non-Energy Minerals and Prospecting Permit Applications (polygon) BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauMixedBedrockCanyonTableland_NatureServe_DIST_30m BLM REA COP 2010 NatureServe National Landcover (v27) InterMountainBasinsBigSagebrushShrubland_NatureServe_DIST_30m BLM REA WYB 2011 TDI - Energy and Transportation Percent Area 2.2 km radius BLM REA WYB 2011 Transportation Class Terrestrial Development Index BLM REA WYB 2011 Relatively Undeveloped - Connectivity - Local Landscape Regional BLM REA WYB 2011 Aspen Current bioclimatic envelope BLM REA WYB 2011 Distance (m) to perennial water BLM REA WYB 2011 Idaho 303(d) Streams BLM REA WYB 2011 Idaho Department of Water Resources WRPOD BLM REA WYB 2011 USFS Data Limber Pine BLM REA WYB 2011 Utah Mule Deer Crucial Winter Range BLM REA WYB 2011 ExSrc C Suitable Habitat TAMA 2030 13403m BLM REA WYB 2011 GFDL2.1 projected Winter Precipitation, 2046-2060 BLM REA WYB 2011 GFDL2.1 projected annual temperature, 2076-2090 BLM REA WYB 2011 Aspen Initial Patch Null BLM REA WYB 2011 Mule Deer Landscape Connectivity BLM REA NGB 2011 Landfire ExistVegHeight 30m.img BLM REA SLV 2013 SMA CO ALL BLM REA SOD 2010 TS 173856 Desert Tortoise 1KM 4KM BLM REA SLV 2013 SMA CO ALL BLM REA WYB 2011 Utah Mule Deer Crucial Winter Range BLM REA WYB 2011 Idaho 303(d) Streams BLM REA WYB 2011 Mule Deer Landscape Connectivity BLM REA WYB 2011 Idaho Department of Water Resources WRPOD BLM REA WYB 2011 TDI - Energy and Transportation Percent Area 2.2 km radius BLM REA WYB 2011 Transportation Class Terrestrial Development Index BLM REA WYB 2011 Relatively Undeveloped - Connectivity - Local Landscape Regional BLM REA WYB 2011 Aspen Initial Patch Null BLM REA WYB 2011 Distance (m) to perennial water BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauMixedBedrockCanyonTableland_NatureServe_DIST_30m BLM REA COP 2010 NatureServe National Landcover (v27) InterMountainBasinsBigSagebrushShrubland_NatureServe_DIST_30m BLM REA WYB 2011 Aspen Current bioclimatic envelope BLM REA SOD 2010 TS 173856 Desert Tortoise 1KM 4KM BLM REA WYB 2011 GFDL2.1 projected Winter Precipitation, 2046-2060 BLM REA WYB 2011 GFDL2.1 projected annual temperature, 2076-2090 BLM REA WYB 2011 USFS Data Limber Pine BLM REA WYB 2011 ExSrc C Suitable Habitat TAMA 2030 13403m BLM GRSG BER: Non-Energy Minerals and Prospecting Permit Applications (polygon) BLM REA NGB 2011 Landfire ExistVegHeight 30m.img