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This polygon feature class describes areas used for subsistence harvesting of brown bear in 2011 by surveyed households in McGrath, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
This feature class describes areas used for subsistence harvesting of sheefish by surveyed households in Galena, Alaska. This is a partial representation of areas used for resource harvesting.
This points feature class describes areas used for subsistence harvesting of sheefish 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 moose in 2011 by surveyed households in Anvik, Alaska. This is a partial representation of areas used for resource harvesting in 2011.
U.S. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia. These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
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.
This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM high biodiversity sites (HBS) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with the areas of HBS. The HBS were derived from source data characterizing locations with concentrated at-risk biodiversity or existing source data of a prioritization exercise that identified areas of high conservation significance. It does not model actual response or condition of the HBS to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different...
This dataset contains points that represent known locations important for aquatic recreation, including marinas and boat ramps.
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.
Population range for each city/town. pop_5: 100,001 -1,000,000 U.S. Populated Place Points represents populated places that include census designated places, consolidated cities, and incorporated places within United States identified by the U.S. Census Bureau.
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...
This dataset provides an estimate of water-based recreation travel corridors, based on a combination of wild and scenic rivers, and major rivers selected from NHD that were listed on the BLM rivers website. All reaches of these rivers were selected, as insufficient information exists to determine what segments may or may not be open to recreation. Other areas may be open to water-based recreation travel than are represented in this dataset.
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. - As a final measure of potential human impacts to the ecoregions, the impacts of current and long term potential 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,...
These data represent point locations for recreation sites in New Mexico.
This data set contains distances between anthropogenic features and grasslands classified into three categories based on metrics from KEA tables in the Middle Rockies Ecoregion. Antrhropogenic fetures include roads, electrical transmission lines, housing density, wind turbine, and oil and gas wells, This data is intended for use at the ecoregional level and was derived from spatial environmental attributes and grasslands locations.
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...
This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public and/or protected in the UNPROTPRIV100...
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 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.
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