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Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length,...
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
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.
Zonal statistic was used to determine the percentage of Level 2 large Intact Blocks in a grazing allotment.
WGA Large Intact Blocks within Grazing Allotments (Level 2 Blocks). 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.
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 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 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,...
This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM Herd Management Areas (HMAs) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with areas managed for wild horses and burros in the western US. It does not model actual response or condition of the HMAs to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different types of human infrastructure on the landscape. Some types are easily defined, precise footprints (pipelines, roads, energy development areas) while others are broader...
This simple assessment raster is used to answer management questions (MQs) about which grazing allotments (GAs) will experience significant climate change in the near future scenario in the Mojave Basin and Range Ecoregion. This is a basic intersect of areas that will likely experience significant climate change effects with the areas of public land that are leased to private entities for grazing by livestock. It does not model actual response or condition of the GAs to climate change. Nearly all GAs in the ecoregion will experience significant effects according to the criteria that were selected. The climate space trends data layer was used to ascertain areas of significant climate changes. Cells that represent...
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