Filters: Tags: Colorado Plateau (X)
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This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
The Colorado Plateau was one of the last areas in the United States to be developed economically. Before the 1880s it was virtually empty except for Indians. Today the vast scenic and energy resources of the area are under development, and projections for future development are frightening. Problems of land use management are directly related to the fragmented nature of landholdings. Present methods of consolidation are inadequate, and new approaches to the organization of space must be devised if further degradation of the environment is to be prevented. Published in Annals of the Association of American Geographers, volume 62, issue 2, on pages 211 - 236, in 1972.
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Annals of the Association of American Geographers,
Colorado Plateau,
Colorado River,
Indians,
Southwestern United States,
This polygon feature class represents vegetation communities mapped at Arches National Park to an alliance or association level, depending on the photo signature. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on mylar overlays using the DOQs collected in June of 2002. Hard copy 9x9 photography was used for photo interpretation. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow. Additional data layers were used in aiding the interpretation, such as slope, hydrology, soils, geography, and ground-collected vegetation information....
This polygon feature class represents vegetation communities mapped at Dinosaur National Monument. The polygons were delineated following guidelines set by the National Vegetation Classification System (October 1995). Original lines were drawn on a mylar overlay on top of printed 1:12,000 digital scale orthophoto quadrangles (DOQ), collected in the summer of 2002. Hard copy 9X9 stereo aerial photography was used for photo interpretation. Intuitive ecological modeling and visual interpretation cues, such as shape, size, pattern, tone, texture, color, and shadow, were used to develop the polygons. Additional data layers used to aid the interpretation include slope, hydrology, geography, and ground-collected vegetation...
This map contains:Terrestrial Intactness results for the State of Utah and the Colorado Plateau Ecoregion, 1 km resolution.Terrestrial Species Intactness results clipped to 15 different species' distributions, showing the TI status/condition for each species of interest in the COP.These datasets provide an estimate of current terrestrial intactness (i.e. condition) based on the extent to which human impacts such as agriculture, urban development, natural resource extraction, and invasive species have disrupted the landscape across the State of Utah and the Colorado Plateau Ecoregion. Terrestrial intactness values will be high in areas where these impacts are low.Documentation of model structure and input data and...
Types: Live Data;
Tags: 1 km resolution,
BLM,
Bureau of Land Management,
COP 2014,
Colorado Plateau,
This dataset depicts polygons of white-tailed prairie dog colonies in Colorado digitized from figure 1 in the White-tailed Prairie Dog Conservation Assessment (Seglund et al. 2004). This dataset should be used with caution because there were few reference points to use during georeferencing. The original GIS data should be obtained directly from Seglund et al. if possible.
A composite of several datasets sent to CBI from the BLM. Descriptions below. 1. National Historic Trails in Alaska for which BLM has some administrative management responsibility. 2. National Scenic Trails for which BLM has some administrative management responsibility. Trails on non-BLM lands are sometimes included. 3.National Historic Trails for which BLM has some administrative management responsibility. Trails on non-BLM lands are sometimes included.
PeregrinePotentialNesting is an ESRI SDE Feature Class showing Potential Nesting for Peregrine Falcons in Colorado. Potential Nesting is defined as an area which appears to include the necessary components for peregrine falcon nesting, but in which no known active or inactive nest sites are present. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). This dataset was uploaded to Data Basin...
This dataset shows the combined model results for current and near-term terrestrial intactness, long-term potential energy development, and long-term potential for climate change. Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature, and vegetation change estimated using climate projections...
This dataset depicts wind energy priority areas developed by the BLM in Utah. This dataset was received from BLM without metadata.
4KM grid cell reporting units for the Colorado Plateau Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
Types: Downloadable;
Tags: Authorization,
BLM,
Bureau of Land Management,
COP 2010,
Colorado Plateau,
This metadata references the polygonal ARC/INFO GIS cover showing the current and historic distribution of potential habitat, or range, of the Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (Centrocercus minimus) in Western North America. This data was initially researched and compiled by Dr. Michael A. Schroeder, research biologist for the Washington State Department of Fish and Wildlife. The initial draft of current and historic range data was mapped and submitted to state, federal, or provincial natural resource agencies and other experts for review, comment, and editing. The final product represents the best available science and expert review available at the time of compilation. ...
This map layer portrays the current routes used for conducting Breeding Bird Surveys in the lower 48 States, clipped to the HUC5/ecoregion boundary for the Colorado Plateau ecoregion. The digital data sets are used to create electronic and hard copy maps of the Breeding Bird Survey routes. The data can be used to conduct geographic analysis on national and large regional scales. The data should be displayed and analyzed at scales appropriate for 1:100,000-scale data. No responsibility is assumed by the National Atlas of the United States or by USGS Patuxent Wildlife Research Center in the use of these data.
This data was developed to show the allowable leasing footprints for oil shale extraction in the Uinta Basin of Utah in support of the Oil Shale / Tar Sands Programmatic Environmental Impact Statement (OSTS PEIS) being developed for the Bureau of Land Management. It was developed by starting with land owned by the federal government, including certain split-estate lands (those with sub-surface mineral rights), and removing areas restricted to oil shale extraction such as Areas of Critical Environmental Concern (ACECs), Wild & Scenic Rivers, etc. The resulting footprint shown in this data was used for analysis of Alternative B of the OSTS PEIS.
Powerlines in the western United States. Data was obtained from the ICEBMP existing utility corridors data set.
4KM grid cell reporting units for the Colorado Plateau Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
These data are a combination of datasets from Utah and Colorado. Utah: This data set represents Greater SAGE GROUSE occupied habitat use areas in Utah as determined by UDWR field biologists in 2010. Biologists in the five administrative regions of the state provided digital representations of greater sage grouse brooding areas based on lek locations, radio telemetry, field notes, and best professional judgement. Also, biologists provided winter use areas, as well as transitional habitat use areas. Data was compiled, overlapping polygons were merged, resulting in one statewide shapefile. Colorado: GrSageGrouseOverallRange is an ESRI SDE Feature Class showing those areas that encompass all mapped seasonal activity...
Annual average wind resource potential of California at a 50 meter height.
GrSageGrouseWinterRange is an ESRI SDE Feature Class showing observed winter range. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Dataset was acquired from a third party distributor who obtained it from CDOW in January 2011. The authoritative data source is available on ArcGIS.com (http://www.arcgis.com/home/item.html?id=75734173c73b485daa1aa90a069e56f2) and will be updated from that...
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