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Sagebrush steppe ecosystems in North America have experienced dramatic elimination and degradation since European settlement. As a result, sagebrush steppe dependent species have experienced drastic range contractions and population declines. Coordinated ecosystem wide research, integrated with monitoring and management activities, would improve the ability to maintain existing sagebrush habitats. However, current data only identify resource availability locally, with rigorous spatial tools and models that accurately model and map sagebrush habitats over large areas still unavailable. Here we report on an effort to produce a rigorous large area sagebrush habitat classification and inventory with statistically validated...
Bioclimatic envelope for whitebark pine using global climate model CCCM3 emissions A2 in 2060. Data from Rehfeldt, G.E., Crookston, H.L., SaenzRomero, C, and Campbell, E.M., 2012, North 1 American vegetation model for land use planning in a changing climate. A solution to large 2 classification problems: Ecological Applications, v. 22, no. 1, p. 119 to 141.
Landscape-level risks for sauger were based on Aquatic Development Index score, risk of low summer flow, and hybridization risk for each fifth-level watershed.
We assessed development levels in desert shrublands 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 (1.35 km), landscape (3.15 km). For additional information see Chapter 2 and the Appendix in the Wyoming Basin REA Open File Report.
Elevation Mask Greater Than 2,600 Meters used in Foothill Shrublands and Woodlands initial distribution script.
We used the length of occupied stream segments by bluehead sucker, flannelmouth sucker, and roundtail chub ("three-species assemblage"), as classified by occurrence data, as an index of habitat patch size. Stream segments were defined by natural and anthropogenic barriers (dams) that restrict bi-directional movements among three-species assemblage populations. Relatively undeveloped segments were defined as those within 6th-level watersheds with an average Aquatic Development Index score less than or equal to 20.
To map the baseline distribution of sagebrush steppe, we included all sagebrush LANDFIRE Existing Vegetation Types (EVT) except for mountain big sagebrush, which is included in the foothill shrublands and woodlands community. We also included adjacent, low elevation (less than 2,600 m) grassland areas, which include post fire sagebrush steppe classified as grasslands and prairie grasslands that occur within the project buffer. All grassland EVT cells within a 210 m buffer that were dominated by sagebrush steppe were included in the sagebrush steppe community. For additional details see the Wyoming Basin Rapid Ecoregional Assessment Open File Report Appendix at http://pubs.er.usgs.gov/publication/ofr20151155.
The Ephemeral rivers and streams are comprised of flowlines selected from the National Hydrography Flowline Dataset Medium where the FCODE is equal to 46003 (Intermittent) or 46007 (Ephermeral) within the Wyoming Basin.
To map the baseline distribution of northern leatherside chub we compiled occurrence information from Wyoming Game and Fish Department (streams, rivers, and lakes and reservoirs) and Wesner and Belk (2012) and summarized these occurrences to 6th-level watershed. For additional information see Chapter 20 and the Appendix in the Wyoming Basin REA Open File Report at http://pubs.er.usgs.gov/publication/ofr20151155.
Riparian vegetation was defined by the Landfire EVT type: 1)EVT 2154: Inter Mountain Basins Montane Riparian Systems, 2) EVT 2159: Rocky Mountain Montane Riparian Systems, 3) EVT 2160 Rocky Mountain Subalpine/Upper Montane Riparian Systems, 4) EVT 2162 Western Great Plains Floodplain Systems. See Appendix 1.1 in Hanser, S. E., M. Leu, S. T. Knick, and C. L. Aldridge (editors). 2011. Sagebrush ecosystem conservation and management: ecoregional assessment tools and models for the Wyoming Basins. Allen Press, Lawrence, KS. Used in Greater Sage Grouse distribution model.
We assessed development levels in sagebrush obligate birds 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) for regional connectivity (3.69 km) based on connectivity analysis. 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.
We developed a general habitat model for the spadefoot assemblage using MaxEnt software, Phillips and others, 2006. Values of vegetation and abiotic variables at 105 mapped spadefoot locations, provided by the Colorado Natural Heritage Program, Montana Natural Heritage Program and Wyoming Natural Diversity Database, since 1990 were derived from data from SAGEMAP, Hanser and others, 2011, USGS, and WorldClim. Variables with the greatest weight included elevation, conifer forest cover, slope, and the percent riparian vegetation. The map of potential spadefoot habitat was based on MaxEnt parameter values that included 95 percent of the locations; omission rate of 5 percent. For additional details see the Wyoming Basin...
Landscape-level ecological value for cutthroat trout was determined by the amount of cutthroat trout habitat assessed by total segment length, total number of river segments and number of occupied lakes and reservoirs summarized to 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 value.
Average annual precipitation for 2016-2030 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/.
Landscape-level risks for sauger were based on Aquatic Development Index score, risk of low summer flow, and hybridization risk for each fifth-level watershed.
Map displays probability of suitable habitat for Russian olive during a reference period of 1980 to 2009.
This digest of the complex mineral resources database is intended for use as reference material supporting mineral resource and environmental assessments on local to regional scale worldwide. Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS.The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. This product is a digest in which the fields chosen are those most likely...
Landscape-level risks for sauger were based on Aquatic Development Index score, risk of low summer flow, and hybridization risk for each fifth-level watershed.
Potential changes in baseline desert shrublands based on overlap with the projected bioclimatic envelope distribution. To account for the differences between the current distribution and modeled bioclimatic envelopes, we used results from CCCM3, in 2030, and classified each modeled biome into three change categories: 1 distributions that potentially could decline because current and projected envelope distributions do not coincide, 2 distributions that are not expected to change because the current and projected envelope distributions overlap, and 3 distributions that have the potential for expansion outside the current envelope distribution. Next, we classified potential for change in the current distribution of...
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