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To estimate the potential of mineral resources in the Bureau of Land Management Central Yukon Planning Area using geographic information systems (GIS) analysis of muliple statewide datasets. The six mineral deposit models are: 1) REE-Th-Y-Nb deposits associated with peralkaline to carbonatitic intrusive rocks, 2) placer and paleoplacer Au, 3) PGE (-Co-Cr-Ni-Ti-V) deposits associated with mafic-to-ultramafic intrusive rocks, 4) carbonate-hosted Cu (-Co-Ag-Ge-Ga) deposits, 5) sandstone U (-V-Cu) deposits, and 6) Sn-W-Mo (-Ta-In-fluorspar) deposits in specialized granites. GIS data layers available for analysis include sediment and rock geochemistry, pan concentrate mineralogy and geochemistry, Alaska Resource Data...
White Pine Blister Rust (WPBR) Risk Data for Wyoming. Data was attained from Bob Flynn, Colorado State Univeristy. The WPBR risk model was derived by Kearns, S.J., Jacobi, W.R., Reich, R.M., Flynn, R.I., Burns, K.S., and Geils, B.W., 2014, Risk of white pine blister rust to limber pine in Colorado and Wyoming, USA: Forest Pathology, v. 44, p. 21 to 38.
To map the baseline distribution of juniper woodlands, we included all juniper, pinyon juniper, and mixed limber pine and juniper LANDFIRE Existing Vegetation Types (EVT). For additional details see the Wyoming Basin Rapid Ecoregional Assessment Open File Report Appendix.
Average annual precipitation for 2046-2060 projected by the by 36-member ensemble (16 GCMs with multiple runs of some models, all the runs available for BCSD) 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/.
We used the length of sauger occupied streams as an index of patch size in streams situated in sixth-level watersheds with Aquatic Development Index scores less than 20 (relatively undeveloped). Stream segments were based on natural and anthropogenic barriers (dams) that restrict bi-directional movements among sauger populations.
Conservation potential of Spadefoot assemblage, summarized by township, for the Wyoming Basin Rapid Ecoregional Assessment project area. Areas with the highest conservation potential had the highest landscape level values and the lowest landscape level risks. See the Assessment Framework Chapter 2 of the Wyoming Basin REA report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
Conservation potential of mule deer, summarized by township, for the Wyoming Basin REA project area. Areas with the highest conservation potential had the highest landscape level values and the lowest landscape level risks. See the Assessment Framework Chapter 2 of the Wyoming Basin REA report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
Landscape-level ecological risk for cutthroat trout was based on Aquatic Development Index score, risk of low summer flow, and hybridization risk compiled into an overall index of conservation potential for each fifth-level watershed. To account for different spatial patterns of habitats (mainstems, headwaters, and lakes), we combined area ranks based on stream segment length and number of populations (based on counts of occupied segments and lakes) into an overall risk.
Ranks of landscape level ecological risks for five needle pine, summarized by township, in the Wyoming Basin REA 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 16.3 and appendix in the Wyoming Basin REA report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
Local Aquatic Development Index (LADI) for wetlands in the Wyoming Basin REA project area. ADI scores are based on a ranked index of combined disturbances assessed at the local catchment (LADI) scale. The LADI quantifies the relative disturbance within a catchment for four disturbance variable classes: transportation (roads and railroads, area and number of crossings), energy and minerals (number of oil and gas wells, number of wind turbines, mine area), water (number of dams, number of surface diversions and length of 303d streams) and land use (agriculture, e.g. pasture and cropland, and urban land covers). LADI scores range from 0 to 100 percent and were divided into seven classes for visualization purposes....
We assessed development levels in spadefoot assemblage based on the regional Terrestrial Development Index (TDI) map, and then used the resulting output to calculate patch size and structural connectivity metrics. We mapped the structural connectivity of relatively undeveloped areas (TDI less than or equal to 1 percent) at two inter patch distances based on connectivity analysis; local (0.27 km), landscape (3.51 km). See Chapter 2 Assessment Framework and Appendix of the Wyoming Basin REA Open File Report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
Information provided by Colorado Parks and Wildlife identifying sixth-level watersheds (HUC-12) with occurrence of any of the three-fish species (bluehead sucker, flannelmouth sucker or roundtail chub).
Map displays probability of suitable habitat for tamarisk during a future period of 2016 to 2030.
The Individual Tree Species Parameter Maps (ITSP) were developed to support the National Insect and Disease Risk Map (NIDRM) since insect and disease risk is often driven by the density of a given species. While similar to the Tree Atlas, the ITSP project mapped basal area and stand density index for each individual tree species. The parameter products are based on 30 meter Landsat satellite data, climate, terrain, and soil predictor layers and ground samples from the USFS Forest Inventory and Analysis plot data. Many other applications and analyses requiring tree species density could benefit from this spatially refined dataset. Data were supplied to USGS by Vern Thomas from the USDA Forest Service in Fort Collins....
Structural connectivity of baseline mule deer crucial winter range in the Wyoming Basin Rapid Ecoregional Assessment project area. We mapped the structural connectivity for local connectivity (1.8km), landscape connectivity (5.31km), and regional connectivity (11.79km).. See Chapter 2 Assessment Framework and Appendix of the Wyoming Basin REA Open File Report at http://pubs.er.usgs.gov/publication/ofr20151155 for additional details.
Distance (m) to Perennial Water within the Wyoming Basins Ecoregional Assessment area, produced by Hanser and others, 2011 (Hanser, S. E., M. Leu, S. T. Knick, and C. L. Aldridge, eds. 2011. Sagebrush ecosystem conservation and management: ecoregional assessment tools and models for the Wyoming Basins. Allen Press, Lawrence, KS.) http://sagemap.wr.usgs.gov/wbea.aspx#CAdata
Initial patch aspen distribution with aspen set to 1 and all other values set to null
To map connectivity, we assessed development levels for relatively undeveloped areas based on the regional Terrestrial Development Index (TDI) map (TDI scores less than or equal to 1 percent), and then used the resulting output to calculate patch size and structural connectivity metrics. We mapped the structural connectivity of relatively undeveloped areas (TDI less than or equal to 1 percent) at three inter patch distances based on connectivity analysis; local (1.8 km), landscape (2.25 km), and regional (3.51 km) scales. See Chapter 2 Assessment Framework and Appendix of the Wyoming Basin REA Open File Report for additional details at http://pubs.usgs.gov/of/2013/1223/.
Terrestrial Development Index (TDI) for transportation in the Wyoming Basin REA project area. TDI scores are based on the percent of transportation surface disturbance footprint from development within a 2.25 km radius moving window for a 15m cell size. The TDI quantifies the total area of transportation surface disturbance footprint. TDI scores range from 0 to 100 percent and were divided into seven classes for visualization purposes. Because the development scores are continuous, alternative classes can be used to display the data to address a particular management question. For additional information see the Development Chapter 4 and the Appendix in the Wyoming Basin REA Open File Report.
Utah Division of Wildlife Resources Mule Deer range data
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