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Areas of potential alternative/renewnable resources for wind power also hydroelectric and hydrokinetic also biomass energy. 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 with these data. The BLM should be cited as the data...
This is Arizona Bureau of Land Management (BLM) statewide grazing allotment data. This polygon feature class depicts the boundaries of the livestock grazing allotments located within the Arizona BLM, Arizona, USA. Each allotment has one or more pastures. In some cases, this layer identifies the BLM managed public land or other land associated with specific grazing allotments administered by the local BLM field office. Boundaries may be fences, arbitrary lines, or natural barriers. Agency management of polygons within this feature class is not specific to BLM; other agencies are also included.
This dataset provides a measure of near-term high development, as an integration of several factors representing landscape development. This measure was calculated using a fuzzy logic model, which is represented in graphical format in \Vector\Change_Agents\Development\Documentation\COP_DV_logic_models.pptx This dataset represents the combination of energy, agriculture, urban, and recreation development. Original source data were summarized to 4KM reporting unit, and converted to fuzzy values (rescaled on a -1 to 1 value range) for input to the fuzzy logic model. These data include: utility lines, pipelines (from BLM), oil/gas wells (from BLM), oil/gas well anticipated development (from Holly Copeland 2009), mines...
To estimate the potential of mineral resources in the Bureau of Land Management Central Yukon Planning Area using geographic information systems (GIS) analysis of muliple statewide datasets. The six mineral deposit models are: 1) REE-Th-Y-Nb deposits associated with peralkaline to carbonatitic intrusive rocks, 2) placer and paleoplacer Au, 3) PGE (-Co-Cr-Ni-Ti-V) deposits associated with mafic-to-ultramafic intrusive rocks, 4) carbonate-hosted Cu (-Co-Ag-Ge-Ga) deposits, 5) sandstone U (-V-Cu) deposits, and 6) Sn-W-Mo (-Ta-In-fluorspar) deposits in specialized granites. GIS data layers available for analysis include sediment and rock geochemistry, pan concentrate mineralogy and geochemistry, Alaska Resource Data...
This dataset depicts developed recreation sites from the BLM Kingman Field Office. This dataset was provided directly by BLM Arizona State Office to Conservation Biology Institute (CBI) without metadata. Information contained in this dataset record was completed by CBI.
GIS dataset of the developed recreation sites (polygons) identified in the Lake Havasu Field Office RMP 2007. This dataset is limited to the Colorado River area where most of the recreation sites are located. The dataset includes BLM campgrounds and day use areas, along with concession leases. Additional recreation sites are in the RecreationSites_point.shp dataset. These recreation areas are on BLM lands in Arizona and California within the Lake Havasu Field Office.
This map shows timber harvests within the CYR study region. 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 with these data. The BLM should be cited as the data source in any products derived from these data.
This report presents information about subsistence uses of fish, wildlife, and plant resources in Lime Village, Interior Alaska. This is the first harvest assessment survey for this community since a compilation of qualitative harvest data was completed in 1983. The Alaska Department of Fish and Game Division of Subsistence conducted the project in collaboration with Stephen R. Braund & Associates as part of a multiyear, multiphase study in a region of Southwest Alaska being considered for the development of a large scale mine. The Pebble Project is a mineral deposit in an advanced exploration stage located near Frying Pan Lake, which is 100 miles south of Lime Village. The Pebble Project requires updated baseline...
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.
Fish occurrence data have been collected within the North Slope study area, however most of these data are presently available only in non-digitized format (e.g., hardcopies, inventory reports, unpublished data, etc.). Due to the lack of spatial data available, Alaska Natural Heritage Program began collaboration with BLM fisheries biologists to assist with their efforts to enter these fish distribution datasets into the geodatabase RipFish that was developed and is maintained by BLM. Our contribution to this database serves as a final product for the Aquatic Fine-Filter CEs for the Rapid Ecoregional Assessment and will allow managers to readily have access to fish distribution data and conduct future spatial analyses....
This dataset presents grazing allotments (from BLM and USFS) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature,...
Each community in the study area is served by an isolated grid, with its own generation and distribution infrastructure. All energy infrastructure in each community is within the community’s footprint. Barrow and Prudhoe Bay, the two largest population centers, rely completely on natural gas for generation of electricity. Nuiqsut relies both on natural gas and diesel. Other than Barrow and Prudhoe Bay, all other communities have small demand loads, and thus only generate less than a megawatt.
Material sales sites
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.
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 dataset represents recreation sites extracted from Utah BLM FAMS. Utah BLM data extracted from the Facilities Asset Management System (FAMS). This dataset contains administrative and recreation related assets, including campgrounds, trail heads, etc. For more information about FAMS, see this website: http://web.blm.gov/lrpo/fams/index.html
To estimate the potential of mineral resources in the Bureau of Land Management Central Yukon Planning Area using geographic information systems (GIS) analysis of muliple statewide datasets. The six mineral deposit models are: 1) REE-Th-Y-Nb deposits associated with peralkaline to carbonatitic intrusive rocks, 2) placer and paleoplacer Au, 3) PGE (-Co-Cr-Ni-Ti-V) deposits associated with mafic-to-ultramafic intrusive rocks, 4) carbonate-hosted Cu (-Co-Ag-Ge-Ga) deposits, 5) sandstone U (-V-Cu) deposits, and 6) Sn-W-Mo (-Ta-In-fluorspar) deposits in specialized granites. GIS data layers available for analysis include sediment and rock geochemistry, pan concentrate mineralogy and geochemistry, Alaska Resource Data...
Alaska's abundant, remote, and predominantly pristine freshwater fish habitats are largely unexplored and undocumented. To begin filling these vast information gaps, the Alaska Freshwater Fish Inventory Database (AFFID) houses freshwater fish (anadromous and resident)-occurrence data sets compiled from a variety of sources. Most records in the AFFID come from Alaska Department of Fish and Game (ADFG) fish and aquatic habitat inventories. However, the AFFID also includes selected recent fish-occurrence data sets from ADFG Fish Resource Permit fish-collection reports submitted to ADFG by other organizations (agencies, consulting firms, non-governmental organizations, and individuals) who collect fish for scientific...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Fishing and hunting are essential parts of local livelihoods. Subsistence forms a substantial part of the household and community economy in the region. A large majority of the population in remote rural Alaska depends substantially on subsistence to supplement their wages. The Alaska Department of Fish and Game conducts annual...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Fishing and hunting are essential parts of local livelihoods. Subsistence forms a substantial part of the household and community economy in the region. A large majority of the population in remote rural Alaska depends substantially on subsistence to supplement their wages. The Alaska Department of Fish and Game conducts annual...
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