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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...
Foothills Aspen Distribution Functional Type no null values
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...
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 Active Layer Thickness and Seasonally Frozen Layer Thickness (m) for the decade 2020-2029 at 2km spatial resolution, using the A2 emissions scenario. The raster contains both negative and positive values. Positive values relate to the active layer thickness, or depth of...
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 shapefile includes projections of annual area burned, fire return interval, and percent forest (current decade only) for the current (2010s), near-term (2020s) and long-term (2050s and 2060s) decades, for the A2 emissions scenario, for 3rd level HUCs within the YKL REA study area. Values were obtained by running 100 repetitions of the Alaska Frame-Based Ecosystem Code (ALFRESCO) model for the top five performing global climate models in the Arctic at a 1x1 km resolution. These outputs were then averaged together to determine the composite, 5 model average, the decades of interest extracted, and the resulting table exported as a shapefile. For background on ALFRESCO, please refer to: Is Alaska's Boreal Forest...
This dataset shows the distribution of investigated and proposed hydroelectric source sites.
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