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Found 18 dataset(s) matching "Colorado headwaters-Plateau".
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These geospatial data characterize the potential for geographic overlap among land-use practices and between land-use and climate change on the Colorado Plateau—a dryland region experiencing rapid...
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This dataset represents the spatial overlap in areas with present (cropland, grazing, and recreation), potential (petroleum resources), or projected future (population) high-intensity land-use....
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This dataset represents the spatial overlap in areas with present (cropland, grazing, and recreation), potential (petroleum resources), or future (population) low-intensity land-use. The final...
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We assessed the spatial pattern and extent of potential impacts of spatially overlapping high intensity land-use and aridification trends on landscape attributes: crop productivity, soil...
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We calculated the intensity of recreation visitation in 2014 based on Forest Service (FS) visits reported in the National Visitor Use Monitoring System at the level of a National Forest (English...
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Mine density at 10 km2 scale calculated with records from the Mineral Resources Data System (USGS 2011). Records are from pre-Hispanic conquest through 2014. USGS [U.S. Geological Survey]. 2011....
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This dataset is based on U.S. Geological Survey (USGS) resource assessments for “undiscovered” gas resources, which are resources that have not yet been extensively proven by drilling (USGS 2014)....
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This dataset is based on U.S. Geological Survey (USGS) resource assessments for “undiscovered” natural gas liquid resources, which are resources that have not yet been extensively proven by...
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Areas with high potential for utility-grade wind power were based on wind energy adjusted to 80 m and excluding protected areas and land-cover types unsuitable for wind installations (Elliot et....
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Annual visitor records were downloaded for each NPS unit within the study area (Visitor Use Statistics, NPS 2015). NPS [National Park Service]. 2015. NPS Stats: National Park Service visitor use...
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This dataset is based on U.S. Geological Survey (USGS) resource assessments for “undiscovered” oil resources, which are resources that have not yet been extensively proven by drilling (USGS 2014)....
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Future county population was based on projections for 2100 from the Spatially Explicit Regional Growth Model (SERGoM; Theobald 2005). SERGoM simulates population based on existing patterns of...
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Future annual aridity index (AI, precipitation divided by potential evapotranspiration [PET]) was calculated from monthly temperature and precipitation data extracted from 10 General Circulation...
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County livestock data (sheep and cattle totals) from county census data (NASS, 2012). NASS [National Agricultural Statistics Service]. 2012. Census of agriculture. U.S. Department of Agriculture,...
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Annual available energy for photovoltaic solar power generation in Wh/sq. m./day determined with the RE Atlas (NREL 2012, Lopez et al. 2012). Lopez, A., B. Roberts, D. Heimiller, N. Blair, and G....
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Bureau of Land Management (BLM) field office recreation data for 2014 was downloaded from the Recreation Management Information System (Yuan et al. 1995, Nickels 2003, Leuders 2015). The unit is...
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Potential for concentrated solar power generation in Wh/sq. m./day determined with the RE Atlas (NREL 2012, Lopez et al. 2012). Lopez, A., B. Roberts, D. Heimiller, N. Blair, and G. Porro. 2012....
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County cultivated agriculture area from county census data (NASS, 2012). NASS [National Agricultural Statistics Service]. 2014. Quick Stats 2.0. U.S. Department of Agriculture, Washington D.C., USA.
