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This open-file report presents the results of the USGS Mineral Resources Program activity to compile a national-scale geologic map database to support national and regional level projects, including mineral resource and geo- environmental assessments. The only comprehensive sources of regional- and national-scale geologic maps are state geologic maps with scales ranging from 1:100,000 to 1:1,000,000. Digital versions of these state maps form the core of what is presented here. Because no adequate geologic map exists for the state of Alaska, it is being compiled in regional blocks that also form part of this national database. It is expected that this series will completed by approximately the end of 2007. These...
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 average of winter (December, January, February) total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The...
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 average of summer (June, July, August) total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The spatial...
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 average of November Snow Day Fraction (in percent) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (November) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days...
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 average of October Snow Day Fraction (in percent) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (October) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in...
This data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
This dataset represents the probability of occurrence for the carbonate alpine species assemblage within the Central Great Basin and Mohave Basin Ecoregion. This model represents the composite of multiple cross-validated inductive (Maximum Entropy) models of species distributions using non-spectral landscape variables. Input Variables: Geology, digital elevation model, distance to calcium carbonate soils, NatureServe's ecological systems map, soil pH, available water holding capacity, slope, and aspect. Classification Model: 1 - High Habitat Potential NoData - Very Low Habitat Potential or "Non-Habitat"
This data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
This dataset is a raster of current predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average). 0=Absence; 1=Presence*see Maxent output pdf for details on model parameters.
This dataset is a 100-meter cell resolution raster of estimated use of public supply water for the southwestern United States. The dataset was generated from 1:100,000-scale county boundary data, 2005 LandScan population data, and USGS estimated use of water in the United States in 2000.
This data set contains potential threat based on proximity to electrical transmission lines and cellular and wind turbine towers for the Greater Sage-Grouse in the Middle Rockies Ecoregion. This data set contains categorical values based on distances away from transmission lines and towers.
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.
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...
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.
Rather than using the ARDF to determine future mining activity, which is a work in progress we used additional datasets. Future mines are difficult to predict but we used three datasets to represent future mining activity: Ambler mining belt, Nanushuk coal mine, and USGS mineral potential GIS database (Jones et al. 2015). Jones et al. (2015) documented the potential and certainty of six minerals deposit groups. The mineral resource potential datasets produced by the USGS (Jones et al. 2015) was used in conjunction with access to identify areas with the most likely long-term future mining activity. Mineral resource potential datasets only cover a portion of our study area (63.9% or 252,845 km2) but can still provide...
Data represents segments of the National Wild and Scenic River System.
This dataset presents current and future change agent models and combined future potential for change (PFC) within the pinyon-juniper woodland system Conservation Element.The pinyon-juniper woodland system extent was determined by querying the LANDFIRE existing vegetation dataset for Pinyon-Juniper Woodland and clipping the data to the ecoregion boundary.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development...
Rare Plants per HUC. 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 with these data. The BLM should be cited as the data source in any products derived from these data.
Olive-Sided Flycatcher current distribution, change in growing season, current, near-term and long-term future status. 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 with these data. The BLM should be cited as the data source...
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