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The "Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window" raster dataset quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and roads and railroads) for all lands in Colorado. The terrestrial development index (TDI) represents the total percentage of the estimated surface disturbance footprint from development within a 5-kilometer (km) radius moving window. The TDI scores range from 0 to 100 percent. Methods are described in the companion report (see "Larger Work" section).
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The Terrestrial Development Index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 2.5 kilometer (km) radius circular moving window. The TDI scores range from 0-100%. The TDI scores between 0-1% represent areas with few roads or a very low density of oil and gas wells. The TDI scores between 1-3% often include low densities of oil and gas wells and roads, whereas development index scores above 3% represent moderate to high levels of development, including relatively large oil and gas fields, surface mines, agricultural fields, centers of urban development,...
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This dataset contains the future renewable energy risk data layer, which was derived from solar and wind energy data (NREL) across the ecoregion.
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Urban/exurban area data were extracted from GAP landcover data and analyzed to determine the distance from Bald 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
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This dataset contains reclassified GAP land cover data and suitable agricultural soils derived from STATSGO. The new data layer is the future agricultural risk layer. 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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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This map shows the distribution, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change of Grassland Fauna Habitat in the study area. 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...
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This map shows the distribution, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change of Native Fish in the study area. 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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This map shows current and near-term recreation development within the ecoregion. Input datasets used in the geospatial modeling for these datasets are also included, which are mainly attributes for metrics for several types of recreation (OHV, hiker, biker, camper, etc.). 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....
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This dataset contains the future oil production risk data layer, which was derived from oil and gas data (EPCA) across the ecoregion. 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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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This dataset contains the future solar energy risk data layer, which was derived from NREL solar energy data across the ecoregion. 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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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This dataset contains reclassified ICLUS 2060 projected urban areas. The new data layer is the future urban areas risk layer. 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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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This dataset contains the future solar energy risk data layer, which was derived from NREL solar energy data across the ecoregion. 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. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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This dataset represents the consolidated submissions for oil shale research, development and demonstration lease data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. Additional features were added from a Colorado data submittal on 12/20/2012. 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...
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This map shows the managed/un-managed sites of Ecological Value. This map also shows distribution, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change of the Sites of Conservation Concern (SCC). 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...
Geologic, geologic hazard, and geotechnical reports submitted by county and municipal planners and school districts to the Colorado Geological Survey for review as part of land development applications.
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Grasslands of the Sky Islands region once covered over 13 million acres in southeastern Arizona and adjacent portions of New Mexico, Sonora, and Chihuahua. Attempts to evaluate current ecological conditions suggest that approximately two thirds of these remain as intact or restorable grassland habitat. These grasslands provide watershed services such as flood control and aquifer recharge across the region, and continue to support dozens of species of concern. Prioritizing conservation interventions for these remaining grassland blocks has been challenging. Reliable data on condition and conservation value of grasslands in the region have not been systematically summarized. State and national boundaries further complicate...
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NPScape is a landscape dynamics monitoring project that provides landscape-level data, tools, and evaluations for natural resource management, planning, and interpretation. The target audience for NPScape spans the range from GIS specialists who will benefit from the geospatial products, to ecologists and natural resource specialists who will be interested in the landscape metrics presented in a local and regional context, to park superintendents and other land managers who can incorporate the maps and graphics into reports or briefings.
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This symbology for this layer is based on the index value for insect and disease threat to forests which are important to surface drinking water on a range from 1-100.
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This dataset explores the physical reality of the population growth from 2005 to 2060 without changes to existing land use policy or gross urban density. The land use suitability analysis displayed in this dataset was performed by the GeoPlan Center for 1000 Friends of Florida and is a companion study to "A Time for Leadership: Growth Management and Florida 2060" prepared for 1000 Friends of Florida by researchers at Georgia Tech's Center for Quality Growth and Regional Development. GeoPlan's project was undertaken using relatively straightforward geographic information systems (GIS) suitability analysis constructed on a foundation of clearly articulated assumptions. The three key assumptions were: 1)...


map background search result map search result map NPScape Sustaining the Grassland Sea Florida 2060 Development Projections Terrestrial Development Index for the Western United States: 2.5-kilometer moving window USDA Forest to Faucets Index of Insect and Disease Threat to Forests Important to Surface Drinking Water Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window BLM GRSG BER: Oil Shale Research, Development, and Demonstration Leases (polygon) BLM REA NGB 2011 Proximity to Urban Development for Bald Eagle (Winter) BLM REA MIR 2011 Figure C-1-6 Future Wind Energy Development Risk BLM REA MIR 2011 Figure C-1-8 Future Renewable Energy Development Risk BLM REA MIR 2011 Figure C-1-5 Future Urban Potential BLM REA MIR 2011 Figure C-1-1 Future Agricultural Potential BLM REA NWP 2011 Current Agricultural Development and Future Agricultural Potential BLM REA NWP 2011 Future Solar Potential Areas for the Northwestern Plains Ecoregion BLM REA NWP 2011 Future Oil Extraction Potential for the Northwestern Plains Ecoregion BLM REA CBR MBR 2010 Recreation Related Development BLM REA SLV 2013 Native Fish Assessment BLM REA SLV 2013 Sites of Ecological Value and Conservation Concern BLM REA SLV 2013 Grassland Fauna Assessment Sustaining the Grassland Sea BLM GRSG BER: Oil Shale Research, Development, and Demonstration Leases (polygon) Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window BLM REA SLV 2013 Native Fish Assessment BLM REA SLV 2013 Sites of Ecological Value and Conservation Concern BLM REA SLV 2013 Grassland Fauna Assessment Florida 2060 Development Projections BLM REA NGB 2011 Proximity to Urban Development for Bald Eagle (Winter) USDA Forest to Faucets Index of Insect and Disease Threat to Forests Important to Surface Drinking Water BLM REA MIR 2011 Figure C-1-8 Future Renewable Energy Development Risk BLM REA CBR MBR 2010 Recreation Related Development BLM REA MIR 2011 Figure C-1-6 Future Wind Energy Development Risk BLM REA MIR 2011 Figure C-1-5 Future Urban Potential BLM REA MIR 2011 Figure C-1-1 Future Agricultural Potential BLM REA NWP 2011 Current Agricultural Development and Future Agricultural Potential BLM REA NWP 2011 Future Solar Potential Areas for the Northwestern Plains Ecoregion BLM REA NWP 2011 Future Oil Extraction Potential for the Northwestern Plains Ecoregion Terrestrial Development Index for the Western United States: 2.5-kilometer moving window NPScape