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Avoided annual soil loss (Mg ha-1 yr-1) and sediment yield (Mg ha-1 yr-1) by presence of natural vegetation.
This data set contains estimated average annual soil loss avoided (Mg ha-1 yr-1) and estimated average annual sediment yield (Mg ha-1 yr-1) avoided aggregated by HUC-12 watersheds for the conterminous US. This data set corresponds to Fig 5 in the manuscript. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).
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EnviroAtlas - Average Annual Soil Loss Avoided due to Vegetation (Scaled) for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average annual soil loss from each pixel avoided due to natural vegetation in metric tons per hectare*10,000 for the conterminous United States for 2011. It is the difference between soil loss with existing land use / land cover and under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Comparison of Soil Loss Estimates Derived using the Revised Universal Soil Loss Equation with those Derived by the Iowa State University's Daily Erosion Project for 12-digit HUCs.
공공데이터포털
This data contains a comparison between the soil loss values we calculated using RUSLE and those produced by the Iowa State University's Daily Erosion Project (DEP). The comparison is done for almost 5,000 12-digit HUC's in Iowa, and parts of Minnesota, Nebraska, Kansas, and Missouri. The DEP uses the Water Erosion Prediction Project (WEPP) hillslope model with high temporal resolution, Next-Generation Weather 200 RADAR (NEXRAD) precipitation, and crop specific parameters such as C and P factors obtained from the confidential NRI database The comparison between RUSLE and DEP was made for HUC-12s with greater than 75% agricultural land cover. This threshold was used because DEP only models agricultural erosion, while our RUSLE-derived HUC-12 estimates include all land cover types. This data set corresponds to Fig 2 in the manuscript. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).
EnviroAtlas - Average annual soil loss and sediment yield to waterbodies by 12-digit HUC for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average annual soil loss and sediment yield to waterbodies by 12-digit HUC subwatershed for the conterminous United States for 2011 with existing land use / land cover and under a scenario in which natural vegetation is removed. It also includes the soil loss and sediment yield prevented by natural vegetation, calculated as the difference between soil loss or sediment yield with existing land cover and under the vegetation removal scenario. This dataset is based on a collection of six rasters showing runoff, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
EnviroAtlas - Average Annual Soil Loss (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average annual soil loss from each pixel in metric tons per hectare*10,000 for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
EnviroAtlas - Average Annual Soil Loss (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average annual soil loss from each pixel in metric tons per hectare*10,000 for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of six rasters showing runoff, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
DCCEEW_Geospatial - Hillslope Erosion AvgNutrLossRate pct.tif
공공데이터포털
This dataset represents the average of the relative nutrient loss rates due to water erosion for the three nutrients total nitrogen, total phosphorus and soil organic carbon. The dataset is masked to cropping and grazing lands. The units are percentage/year. Relative nutrient loss is calculated as the annual loss of nutrient from the top 5 cm of soil relative to the total stock of each nutrient in the full depth of the soil profile. Annual erosion rate data are from Teng et al. (2016) and soil nutrient data are from the Soil and Landscape Grid of Australia. For a full description of the methods used to generate this datset see McKenzie et al. (2017).To present the average relative nutrient loss rate data in Figure 4.5 in McKenzie et al. (2017), the data were divided into seven classes using percentiles as the class breaks. That is, 20 % of the grid cells fell into each of the first four classes, 10 % of the grid cells into the fifth class, and 5 % into each of the sixth and seventh classes. The actual average nutrient loss rate values which represent those class breaks are listed below:0-20th percentile: < 0.003 %/y20-40th percentile: 0.003 - 0.005 %/y40-60th percentile: 0.005 - 0.009 %/y60-80th percentile: 0.009 - 0.019 %/y80-90th percentile: 0.019 - 0.045 %/y90-95th percentile: 0.045 - 0.098 %/y95-100th percentile: > 0.098 %/y
EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream water body - per pixel *1.0e4 for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Median Agriculture, Pasture, and Barren Cover Management Factors for USDA Crop Management Zones
공공데이터포털
This data set provides median cover management factors (C-Factor) for agriculture, pasture, and barren land cover classes for each USDA Crop Management Zone. The C-Factors were calculated based on a Normalized Difference Vegetation Index. MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI values were obtained at 250 m resolution for 16-day intervals between 2000-2014 to calculate a mean annual NDVI. The data in this file correspond To Table 2 in the associated journal article. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).
EnviroAtlas - Average Annual Sediment Yield to the Nearest Waterbody (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States
공공데이터포털
This EnviroAtlas national dataset shows the average annual sediment yield in metric tons per hectare*10,000 to the nearest waterbody by each pixel for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).