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Geospatial data sets for the Wyoming Basin REA spatially quantify explicit cumulative effects and provide a broad-scale ecological context for decision-making and planning that cannot be determined using local-level information.
This dataset shows point locations and data specific to wildlife guzzlers in Sonoran Desert ecoregion.
The potential effect of development on patch size was used as an index of fragmentation. Patch size was quantified for relatively undeveloped patches (Terrestrial Development Index scores less than or equal to 1 percent) of sagebrush steppe. Because TDI is calculated for a 2.25 km radius moving window, relatively undeveloped patches are defined at this analysis scale. Patch sizes for relatively undeveloped areas can then be compared to baseline conditions.
Some of the CYR 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. - The Relative Flammability raster is a spatial representation of the total number of times each pixel within the Central Yukon REA boundary burned in 1,000 simulations of the Alaska Frame-Based Ecosystem Code (ALFRESCO) model. Pixel counts of simulated burns from 200 runs each of five downscaled Global Climate Models (cccma_cgcm3_1,...
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
Statewide lakes were assembled from seventeen separate files in the USGS 1:2,000,000 Digital Line Graphs (DLG) dataset and include only those polygons with AREA greater than 20 acres (80940 square meters). Polygons with the attribute MIN = 100 or arcs with the attribute LINECODE = 'L' are valid lakes. For data codes and details, please refer to the US Geological Survey Circular 895, 1982. Due to the limitation of ARC/INFO software at the time of processing these files, the lakes were originally processed into three groups. Then a framework of arcs surrounding those three groups allowed all the lakes to be united into one statewide lakes coverage. Any lakes which were interested either by the boundaries of the seventeen...
Average percent of land cover accounted for by herbaceous cover in the Wyoming Basins Ecoregional Assessment area (5 km scale), a summary of the percent cover of herbaceous cover produced by Homer and others, 2012 (Homer, C. G., C. L. Aldridge, D. K. Meyer, and S. J. Schell. 2012. Multi scale remote sensing sagebrush characterization with regression trees over Wyoming, USA: laying a foundation for monitoring. International Journal of Applied Earth Observation and Geoinformation. 14: 233 to 244.), by running the focalsum command in ArcGIS Spatial Analyst
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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. - This file includes a downscaled projection of decadal mean Day of Thaw (in ordinal dates) for the decade 2060-2069 at 771x771 meter spatial resolution. Day of Thaw approximates when the running mean rises above 0°C. Although raster values represent ordinal dates, the values 0 and 365 are special classes. A value of 0 indicates...
Current (2015), Medium (2040), and High Scenario (2040) landscape condition and Current (2015), Medium (2040), and High Scenario (2040) landscape condition at 5th-level HUC resolution. 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...
Core area risk is classified by the percent of aspen that is core area, summarized by township. Core area was defined as aspen greater than 60 m from nonforest edges and roads or railroads.
Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
Ranks of landscape level ecological risks for pygmy rabbit, summarized by township, in the Wyoming Basin Rapid Ecoregional Assessment project area. Landscape level risk based on Terrestrial Development Index (TDI). Risk classes based on mean TDI score by township. Lowest risk corresponds to TDI less than 1, medium risk corresponds to TDI 1 to 3, Highest risk corresponds TDI greater than 3. See table 27.3 and appendix in the Wyoming Basin REA report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
The potential effect of development on patch size was used as an index of fragmentation. Patch size was quantified for baseline conditions for pygmy rabbit. This provides a reference for comparing patch size for relatively undeveloped patches (Terrestrial Development Index scores less than or equal to 1 percent) of pygmy rabbit.
The Alaska BAER Earth Cover Classification served as an input regional vegetation map for the Vegetation Map of Northern, Western, and Interior Alaska. For more information on source datasets for the Vegetation Map of Northern, Western, and Interior Alaska, see: http://aknhp.uaa.alaska.edu/ecology/vegetation-map-and-classification-northern-western-and-interior-alaska/
This polygon feature class describes areas used for subsistence harvesting of moose in 2011 by surveyed households in Takotna, 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 Ruby, Alaska. This is a partial representation of areas used for resource harvesting.
This dataset approximates areas available for utility-grade solar energy development under the Solar Energy Zone Alternative of the Solar Energy Development Programmatic Environmental Impact Statement (PEIS). Refer to the Solar Energy Development PEIS for more details.
Scorecard analysis for terrestrial conservation elements and near-future landscape condition. The landscape condition score represents area weighted mean value based upon the combined count and condition score. sum(count*score) / sum(count) *where count equals the cell count and score is the condition value. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological...
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