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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. There may be private inholdings within the boundaries of Federal lands in this map layer. Some established Federal lands which are larger than 320 acres are not included in this map layer, because their boundaries were not available from the owning or administering agency.
Tags: Air Force, Alabama, Alaska, Arizona, Arkansas, All tags...
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Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. Bed material sampling was conducted to obtain information on the particle-size distributions of the streambed materials and to determine the shapes of the individual particles comprising the streambeds. Information on stream-bed particle-size distribution was used to compute the potential rate of bed-load transport and is a parameter used in the Rosgen (Rosgen, 1996) stream reach classification system. Streambed-material particle sizes were measured using two methods. The first method was Wolman pebble counts conducted across the riffles...
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Food, Fuel, and Materials category in this web service includes layers illustrating the ecosystems and natural resources that provide or support the production of food, fuel, or other materials, the need or demand for these items, the impacts associated with their presence and accessibility, and factors that place stress on the natural environment's capability to provide these benefits. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Clean and Plentiful Water category in this web service includes layers illustrating the ecosystems and natural resources that filter and regulate water, the need or demand for clean and plentiful water, the impacts associated with water quality, and factors that place stress on water quality and supply. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive information about each attribute in this web service is located within each web...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...


map background search result map search result map EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States 3) Streambed particle data USGS Topo Map Vector Data (Vector) 2003 Ayers Island, Texas 20190722 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 23220 Kelton, Texas 20190722 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 29850 Monkstown, Texas 20190722 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 16649 Gainesville North, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 19247 Hansford Camp, Texas 20190723 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 21125 Horseshoe Bend, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 33035 Oklaunion, Texas 20190724 for 7.5 x 7.5 minute Shapefile Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min USGS Topo Map Vector Data (Vector) 8147 Chapel Hill, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB USGS Topo Map Vector Data (Vector) 2003 Ayers Island, Texas 20190722 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 29850 Monkstown, Texas 20190722 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 16649 Gainesville North, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 19247 Hansford Camp, Texas 20190723 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 21125 Horseshoe Bend, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 33035 Oklaunion, Texas 20190724 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 8147 Chapel Hill, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 23220 Kelton, Texas 20190722 for 7.5 x 7.5 minute Shapefile 3) Streambed particle data Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB