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A line dataset of current (abandoned) and future railroads in the SNK REA - derived from the Alaska Infrastructure 1:63,360 line data set with modifications (see the process steps for details). This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.
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Humans have dramatically altered wildlands in the western United States over the past 100 years by using these lands and the resources they provide. Anthropogenic changes to the landscape, such as urban expansion, construction of roads, power lines, and other networks and land uses necessary to maintain human populations influence the number and kinds of plants and wildlife that remain. We developed the map of the human footprint for the western United States from an analysis of 14 landscape structure and anthropogenic features: human habitation, interstate highways, federal and state highways, secondary roads, railroads, irrigation canals, power lines, linear feature densities, agricultural land, campgrounds, highway...
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Summary list of rare plant species for SNK REA, prepared by NatureServe from sensitive plant data provided by the Alaska Natural Heritage Progra, (AKNHP). AKNHP maintains georeferenced G3-G1 vascular plant collection locations for AK.
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This dataset shows point locations and data specific to wildlife guzzlers in Sonoran Desert ecoregion.
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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
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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.
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Average annual temperature for 2016-2030 projected by the ECHAM5 GCM run 1 driven by the A2 emissions scenario at 1/8 degree latitude-longitude (approximately 12km by 12 km) from a 36-member GCM ensemble (16 GCMs with multiple runs of some GCMs, all the runs available for BCSD) over the Wyoming Basin and surrounding areas. BCSD data downloaded from the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections" archived at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/.
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Average January temperature for 2016-2030 projected by the GFDL2.1 GCM run 1 driven by the A2 emissions scenario at 1/8 degree latitude-longitude (approximately 12km by 12 km) over the Wyoming Basin and surrounding areas. BCSD data downloaded the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections," archived at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/.
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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.
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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.
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For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
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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...
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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...
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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,...
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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...
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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...
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A polygon dataset of current road footprints in the SNK REA derived from the Alaska Department of Natural Resources infrastructure data (see the process steps for details). (This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.)
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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.


map background search result map search result map BLM REA SOD 2010 The Human Footprint in the Sonoran Desert ecoregion, USA BLM REA SOD 2010 Wildlife Guzzlers BLM REA WYB 2011 Average percent cover of herbaceous vegetation, summarized at 5 km BLM REA WYB 2011 Invasive Species Locations in WYBREA, points BLM REA WYB 2011 WFDSS Interagency Historic FirePerimeters 20120608 v1 BLM REA WYB 2011 ECHAM5 projected annual temperature, 2016-2030 BLM REA WYB 2011 GFDL2.1 projected January temperature, 2016-2030 BLM REA WYB 2011 Developed Landcover used in Biome Analysis BLM REA WYB 2011 Sagebrush Steppe Relatively Undeveloped Patches 15m BLM REA WYB 2011 Pygmy Rabbit Ecological Risk BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_tmin_07 BLM REA SLV 2013 SWReGAP habitat model for the PLAINS LEOPARD FROG BLM REA SLV 2013 SWReGAP habitat model for the NORTHERN SAW-WHET OWL BLM REA CYR 2013 Future Relative Flammability from 2000 to 2099 BLM REA YKL 2011 Alaska Major Lakes BLM REA SNK 2010 DV N Railroads ln BLM REA SNK 2010 Current Road Footprint Change Agent BLM REA SNK 2010 Summary of Rare Plants Boreal Wormwood by 5th level Watersheds (HUC10) BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Mule Deer Class D Winter BLM REA WYB 2011 Invasive Species Locations in WYBREA, points BLM REA SNK 2010 Current Road Footprint Change Agent BLM REA SLV 2013 SWReGAP habitat model for the PLAINS LEOPARD FROG BLM REA SLV 2013 SWReGAP habitat model for the NORTHERN SAW-WHET OWL BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_tmin_07 BLM REA SOD 2010 Wildlife Guzzlers BLM REA SNK 2010 DV N Railroads ln BLM REA WYB 2011 Pygmy Rabbit Ecological Risk BLM REA WYB 2011 Developed Landcover used in Biome Analysis BLM REA WYB 2011 Sagebrush Steppe Relatively Undeveloped Patches 15m BLM REA WYB 2011 Average percent cover of herbaceous vegetation, summarized at 5 km BLM REA SOD 2010 The Human Footprint in the Sonoran Desert ecoregion, USA BLM REA WYB 2011 GFDL2.1 projected January temperature, 2016-2030 BLM REA WYB 2011 ECHAM5 projected annual temperature, 2016-2030 BLM REA SNK 2010 Summary of Rare Plants Boreal Wormwood by 5th level Watersheds (HUC10) BLM REA CYR 2013 Future Relative Flammability from 2000 to 2099 BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Mule Deer Class D Winter BLM REA YKL 2011 Alaska Major Lakes BLM REA WYB 2011 WFDSS Interagency Historic FirePerimeters 20120608 v1