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This feature class describes areas used for subsistence harvesting of moose in 2011 by surveyed households in Anvik, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of salmon in 2009 by surveyed households in Chuathbaluk, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
This feature class describes areas used for subsistence harvesting of wolves in 2009 by surveyed households in Aniak, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
Some of the NOS 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. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
This feature class describes areas used for subsistence harvesting of beaver in 2009 by surveyed households in Upper Kalskag, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
Rather than using the ARDF to determine future mining activity, which is a work in progress we used additional datasets. Future mines are difficult to predict but we used three datasets to represent future mining activity: Ambler mining belt, Nanushuk coal mine, and USGS mineral potential GIS database (Jones et al. 2015). Jones et al. (2015) documented the potential and certainty of six minerals deposit groups. The mineral resource potential datasets produced by the USGS (Jones et al. 2015) was used in conjunction with access to identify areas with the most likely long-term future mining activity. Mineral resource potential datasets only cover a portion of our study area (63.9% or 252,845 km2) but can still provide...
This map shows conservation element summaries within areas of potential near-term and long-term energy development. These summaries help highlight areas of potential conflict between conservation elements and energy development. 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...
This feature class Describes the spatial location of recreation sites within or in close proximity to an administrative unit. Recreation sites are stored in three feature classes. The feature class Recreation_Site_pt represents recreation sites so small they are displayed as points, Recreation_Site_pl represents recreation sites large enough to be represented by area features, and Recreation_Site_ln represents recreation sites that are represented by lines. Any type of recreation site may be contained in any of the feature classes but any given recreation site must be contained in only one of the three feature classes. Recreation sites are grouped hierarchically. For example, a campground may be composed of many...
There are a number of oil and gas basins that lay within the CYR study region. Selawik oil and gas basin is considered an eastern extension of the Kotzebue oil and gas basin. However, much of the Selawik basin is located in the Selawik National Wildlife Refuge making development unlikely. Exploration in the Selawik Basin has been minimal with no wells drilled. The Colville Basin runs along the northwestern edge of the CYR study area but exploration within this area is minimal. Wells and exploration in this basin are outside the CYR study area. Doyon has drilled Nunivak #1 and #2 exploratory wells between 2009 and 2013 in the Nenana Basin and acquired 2-D seismic, gravity, magnetics, and lakebed geochemical surveys...
These data represent point locations for recreation sites in New Mexico.
5th Code HUC reporting units for the Colorado Plateau Ecoregion Used as analytical reporting units for aquatic conservation elements.
Permit or Lease - Mineral Estate includes a variety of permits or leases including Oil and Gas Lease, Shallow Gas Lease, Exploration License, Geothermal Permit or Lease, Mining Lease, Offshore Prospecting Permit or Lease, Coal Prospecting Permit or Lease. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Mineral Estate-Mineral Permit or Lease category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number...
Regional range allotment coverage of Region 2, Rocky Mountain Region, USDA Forest Service. The regional coverage reflects the range allotment data from each of the National Forests and Grasslands within the region. The regional allotment coverage was compiled by the Regional Office's Geospatial Services office by using the range allotment data provided by the Forests/Grasslands within the region, joining the infra view (II_RGE_RMU_V) to the spatial data based on the control number (cn) or allotment identifier (based on a specific adminstrative organization identifier). The Forest/Grassland data were exported to individual shapefiles. All the attribute tables were edited to contain the same items. All of the shapefiles...
This dataset contains EPCA oil and gas data for the Middle Rockies Ecoregion.
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.
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