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File-based data for download:https://www.sciencebase.gov/catalog/item/6556549dd34ee4b6e05c4822 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana.
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The grassland condition index raster data layer assigns to each 30 meter pixel in the GCPO a condition index score generated by the presence or absence of a set of desired conditions such as patch size, vegetation height, etc. This grassland bar code layer indicates which conditions contributed to the index value score, and by how much, by use of a nine-digit code. The digits in the code represent the following input conditions in order: potential for restoration, presence of a grassland ecological system, presence of prairie (a subset of grasslands characterized by the presence or dominance of native vegetation), configuration in a patch > 100 acres, and the four site-level condition endpoints: vegetation height...
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This dataset offers hourly estimates of radar indicated rain gage corrected precipitation at a roughly 4km spatial resolution. Mosaicked into a national product at NCEP, from the regional hourly multi-sensor (radar+gauges) precipitation analyses produced by the 12 River Forecast Centers over CONUS. Some manual QC done at the RFCs. The Stage II/IV job is run at 33min past the top of each hour. Hourly Stage IV is re-made hourly (if there is new input after valid time for the next 23 hours, then again at 1/3/5/7 days after valid time. These data have been aggregated into this service by the USGS and are downloaded and incorporated into the archive every 30 minutes. The original Hydrologic Rainfall Analysis Projection...
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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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Rock geochemistry from samples collected by IGS geologists and retired geologists. Also present are rock geochemical analyses by retired USGS geologists. Includes a geochemical database and web application developed in 2015 to assist with delivery from the IGS website.
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The US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) and the USDA Census of Agriculture (completed every five years, most recently in 2012) are primary sources of regionally detailed data concerning the productivity, economics, land use, and multiple other characteristics of agriculture and ranching in the United States. The county-level data on farmland irrigation provides one example of the many ways in which agriculture impacts, and is impacted by, natural resource availability and sustainability. This featured dataset is acres irrigated in farmlands, 2012. Available at: www.agcensus.usda.gov/Publications/2012/</pre>
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File-based data for download:https://www.sciencebase.gov/catalog/item/65564e17d34ee4b6e05c4802 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.Urban growth probability extents throughout the 21st century were projected for the Southeast Regional Assessment Project (SERAP), which encompasses all or parts of the states of Alabama, Arkansas, Florida, Georgia, Illinois, Indiana, Kentucky,...
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This dataset shows the density of the intercepts of roads and streams in the Crown of the Continent and a 50km buffer. This dataset has been produced by merging the “National Road Network (NRN) - AB, Alberta” shapefile obtained from GeoBase , Digital Road Atlas (DRA) of British Colombia from GeoBC and “Roads from the Montana Transportation Framework MSDI” for Montana, US Provided by Montana State Library. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists,...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alberta, Alberta, B.C, B.C, CCE, All tags...
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These data represent land cover and land use for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources. Grid cell values correspond to the following land use / land cover types: 20 - water 30 - barren 31 - ice/snow 34 - developed 50 - scrub/shrub 80 - wetland 110 - grassland 120 - agriculture 210 - coniferous forest 220 - deciduous forest 230 - mixed forest NoData values along the border have been fixed This dataset was developed as part of a long-term project monitoring the ecological health of the Crown of the Continent Ecosystem (CCE). This effort is a collaborative project between National Park Service Rocky Mountain Inventory and Monitoring Network (ROMN) (Landscape Dynamics...
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For the CCE, the riparian ecosystem was classified using three existing layers in a GIS:A. Streams network:— Streams_CCE_5kmBuffer_UTM11NAD83.shp.B. Water class of the landcover layer:— Landcover_CCE_5kmBuffer_UTM11NAD83.img.C. Digital elevation model (DEM) (22m Aster GDEM) provided by METI and NASA:— aster_dem.rrd.NOTE: Additional future considerations for the CCE may include the incorporation of fish-bearing streams which would extend the buffers in certain areas. We have considered location, water body type and size, as well as adjacent slopes for the broad application of a riparian buffer spanning national and state parks, rural and urban communities, as well as an international boundary, and we have used the...
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This data is the Missouri River Basin subset of the National Anthropogenic Barrier Dataset (NABD) 2012 developed by USGS additional gauge data may exist in this dataset. Please refer to the complete dataset for use in other projects. A copy can be found at:https://www.sciencebase.gov/catalog/item/56a7f9dce4b0b28f1184dabdThe follow is metadata from the source data:The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. and the high resolution National Hydrography Dataset (NHD) for Alaska (1:63,000 scale) and Hawaii (1:24,000 scale) to facilitate GIS analyses based...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, Climate Change, Climate Change, Colorado, Colorado, All tags...
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There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the ‘Data Quality Information’ section of this metadata report. Shoreline vectors derived from historic...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Baseline, Beach Erosion, Beach Nourishment, All tags...
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Rates of long-term and short-term shoreline change were generated in a GIS with the Digital Shoreline Analysis System (DSAS) version 2.0, an ArcView extension developed by the USGS in cooperation with TPMC Environmental Services. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcView contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Baseline, Beach Erosion, Beach Nourishment, All tags...
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Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: AADT, AADT, Carnivores, Carnivores, Connectivity, All tags...
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Shapefile of a set of fires sampled from the GNLCC Large Fire Database, 1984-2011. This sampled was collected from across the total variability in climate within the Great Northern Landscape Conservation Cooperative (GNLCC) study area. Additional detail about the topography, climate, and burn severity was collected for this identified sample, and used to model fire refugia and low-severity burn probability within the fire perimeters.Each fire has a unique numeric identifier of “PolyID”. Additional attributes are as follows:FIRE_ID: For those fires with an ID, the ID assigned by the reporting agency of the MTBS project.FIRENAME: Names of those fires which are named. This is uncommon in Canada.YEAR: The year the fire...


map background search result map search result map Idaho geochemical data CCE Synthesized Riparian Data GNLCC Refugia Project Sampled Fires SLEUTH Projected Urban Growth Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) Terrestrial Impact Combined, RCP 4.5 CCE Landcover c2000 United States Stage IV Quantitative Precipitation Archive Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Stream Barriers for the Missouri River Basin US Department of Agriculture Census of Agriculture Economic Profiles 2012 GCPO Grassland Condition Bar Code Densities of Road-Stream Intercepts in the Crown of the Continent Historical Changes in Shoreline in the Gulf of Mexico Long Term Shoreline Change Rates Fish Stocking Locations (MT) Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America 2006 - 2011 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes Fish Stocking Locations (MT) CCE Synthesized Riparian Data Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem CCE Landcover c2000 Densities of Road-Stream Intercepts in the Crown of the Continent Idaho geochemical data Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) Historical Changes in Shoreline in the Gulf of Mexico Long Term Shoreline Change Rates Terrestrial Impact Combined, RCP 4.5 GCPO Grassland Condition Bar Code US Department of Agriculture Census of Agriculture Economic Profiles 2012 GNLCC Refugia Project Sampled Fires Stream Barriers for the Missouri River Basin 2006 - 2011 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes SLEUTH Projected Urban Growth Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America United States Stage IV Quantitative Precipitation Archive