Name: Change in Water Demand (Withdrawals) by County (%) (2070, RCP 8.5-SSP-2)
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This data layer, the Resources Planning Act (RPA) Water Demand - Change in Water Demand (Withdrawals) by County (%) 2070, RCP8.5-SSP2, examines recent trends in freshwater use and makes projections in future freshwater use over the next 50 years. The RPA water demand model includes modeled historical and projected domestic and public use, industrial and commercial use, thermoelectric, irrigation, livestock, aquaculture, biofuels, and oil shale. Percent change in water demand (water withdrawal) by county was calculated from projected water demand for the year 2070 using combined scenarios RCP8.5-SSP2 relative to a 2020 baseline. Scenario = RCP8.5-SSP2 combination (high warming, moderate growth), mean/min/max of 5 climate models used in RPA Assessment; another three RCP-SSP combinations are available from the information source. This uses the following five climate models: Least Warm-MRI-CGCM3; Hot-HadGEM2-ES; Dry-IPSL-CM5A-MR; Wet-CNRM-CM5; Middle-NorESM1-M (https://www.fs.usda.gov/research/treesearch/60113) For information on RPA models and future scenarios see Langner et al. 2020: https://doi.org/10.2737/RMRS-GTR-412). For water demand methods see: Warziniack et al. 2022 - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002222; and Heidari 2021 - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002278. Spatial Extent: CONUSUnits: Millions of gallons per day
Name: Change in Water Demand (Withdrawals) by County (%) (2070, RCP 4.5-SSP-1)
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This data layer, the Resources Planning Act (RPA) Water Demand - Change in Water Demand (Withdrawals) by County (%) 2070, RCP4.5-SSP1, examines recent trends in freshwater use and makes projections in future freshwater use over the next 50 years. The RPA water demand model includes modeled historical and projected domestic and public use, industrial and commercial use, thermoelectric, irrigation, livestock, aquaculture, biofuels, and oil shale. Percent change in water demand (water withdrawal) by county was calculated from projected water demand for the year 2070 using combined scenarios RCP4.5-SSP1 relative to a 2020 baseline. Scenario = RCP4.5-SSP1 combination (low warming, moderate growth), mean/min/max of 5 climate models used in RPA Assessment; another three RCP-SSP combinations are available from the information source. This uses the following five climate models: Least Warm-MRI-CGCM3; Hot-HadGEM2-ES; Dry-IPSL-CM5A-MR; Wet-CNRM-CM5; Middle-NorESM1-M (https://www.fs.usda.gov/research/treesearch/60113) For information on RPA models and future scenarios see Langner et al. 2020: https://doi.org/10.2737/RMRS-GTR-412). For water demand methods see: Warziniack et al. 2022 - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002222; and Heidari 2021 - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002278. Spatial Extent: CONUSUnits: Millions of gallons per day
Name: Percent Change in Water Yield (2010–2040, RCP 8.5)
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The Forests to Faucets 2.0. Percent Change in Water Yield (2010–2040, RCP 8.5). data projects the percent change in mean annual water yield in the future. This layer is an integration of watersheds that are predicted to have a decrease in water quantity under future climate scenarios integrated with the watersheds important to surface drinking water and having the ability to produce clean water. This layer is part of the larger Forests to Faucets 2.0 project whose purpose is to quantify, rank, and illustrate the geographic connection between forests and other natural cover (private and public), surface drinking water supplies, and the populations that depend on them–the ecosystem service of water supply. The Forests to Faucets 2.0 assessment evaluated four potential threats to important surface drinking water watersheds including fire, insects and disease, land use change, and reduced water yield due to a changing climate. Using data from a variety of existing sources and maps generated through GIS analyses, the project uses maps and statistics to describe the relative importance of private forests and National Forest System lands to surface drinking water supplies across the United States. Scenario = RCP 8.5-SSP5 from the HadGEM2-ES365 general circulation model (https://www.fs.usda.gov/research/treesearch/63723). Methods and further information are available here - https://storymaps.arcgis.com/collections/4e450a6c7ed24f0cbae4abc1c07843b7?item=4. Spatial Extent: CONUSUnits: Percent
Copyright Text: USDA Forest Service: Forests To Faucets (F2F)
Name: Percent Change in Water Yield (2010–2040, RCP 4.5)
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The Forests to Faucets 2.0. Percent Change in Water Yield (2010–2040, RCP 4.5). data projects the percent change in mean annual water yield in the future. This layer is an integration of watersheds that are predicted to have a decrease in water quantity under future climate scenarios integrated with the watersheds important to surface drinking water and having the ability to produce clean water. This layer is part of the larger Forests to Faucets 2.0 project whose purpose is to quantify, rank, and illustrate the geographic connection between forests and other natural cover (private and public), surface drinking water supplies, and the populations that depend on them–the ecosystem service of water supply. The Forests to Faucets 2.0 assessment evaluated four potential threats to important surface drinking water watersheds including fire, insects and disease, land use change, and reduced water yield due to a changing climate. Using data from a variety of existing sources and maps generated through GIS analyses, the project uses maps and statistics to describe the relative importance of private forests and National Forest System lands to surface drinking water supplies across the United States. Scenario = RCP 4.5-SSP2 from the HadGEM2-ES365 general circulation model (https://www.fs.usda.gov/research/treesearch/63723). Methods and further information are available here - https://storymaps.arcgis.com/collections/4e450a6c7ed24f0cbae4abc1c07843b7?item=4. Methods and further information are available here - https://storymaps.arcgis.com/collections/4e450a6c7ed24f0cbae4abc1c07843b7?item=4. Spatial Extent: CONUSUnits: Percent
Copyright Text: USDA Forest Service: Forests To Faucets (F2F)
Name: Important Areas for Surface Water By Watershed (Percentiles)
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: Forests to Faucets 2.0. Important Areas for Surface Water By Watershed (percentiles). Forests to Faucets 2.0 builds upon the national Forests to Faucets (2011) by updating its base data and adding new and forecasted threats (e.g., climate change). The purpose of this project is to quantify, rank, and illustrate the geographic connection between forests and other natural cover (private and public), surface drinking water supplies, and the populations that depend on them–the ecosystem service of water supply. The Forests to Faucets 2.0 project also evaluates a watersheds’ natural ability to produce clean water and quantifies the threats to watersheds from land use change, wildfire, invasive pests, and future stresses such as climate change induced changes in hydrologic systems. Using data from a variety of existing sources and maps generated through GIS analyses, the project uses maps and statistics to describe the relative importance of private forests and National Forest System lands to surface drinking water supplies across the United States. The data produced by this assessment provides information needed to identify opportunities for water market approaches or schemes based upon payments for environmental services (PES). Methods and further information are available here - https://storymaps.arcgis.com/collections/4e450a6c7ed24f0cbae4abc1c07843b7?item=4. Spatial Extent: CONUSUnits: Percentiles
Copyright Text: USDA Forest Service: Forests To Faucets (F2F)
Name: (DRAFT) - Climate Stress Summary By Subwatershed
Display Field:
Type: Group Layer
Geometry Type: null
Description: (DRAFT) - Seven climate stress variables were summarized by subwatershed. Thresholds were then assigned to each of the variables, with the variables given a value of 1 if they passed the threshold, and 0 otherwise:
Absolute change in length-weighted number of winter floods > 4;
Percent change in length-weighted 25-year flood > 25;
Percent change in length-weighted decadal low flow > 25;
Percent change in snow water equivalent > 25;
Percent change in snow residence time > 25;
Percent change in 90th percentile number of summer dry days > 25;
Historical (1993-2011) stream temperature > 18 °C (i.e., above 20 °C with a 2 °C temperature increase);
These values were summed, then divided by the number of variables with data in that subwatershed, to identify the percentage of variables with projected changes over the thresholds.
Low: < 25%;
Medium: >= 25, < 50%;
High: >50%;
All future data are for the time period 2070-2099, using RCP 8.5 (https://www.globalchange.gov/browse/multimedia/emissions-concentrations-and-temperature-projections), The input layers used for the summaries include the Streamflow Metrics dataset (https://storymaps.arcgis.com/stories/6a6be7d624db41638a24b659305af522), National Forest Climate Change Maps (https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html), and the NorWeST Stream Temperature dataset (https://www.fs.usda.gov/rm/boise/AWAE/projects/NorWeST.html).
Name: (DRAFT) - Climate Stress Summary By Subwatershed - Vector Data
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: (DRAFT) - Climate Stress Summary By Subwatershed - Vector. This layer describes the relative magnitude of projected changes across watersheds. Seven climate stress variables were summarized by subwatershed. Thresholds were then assigned to each of the variables, with the variables given a value of 1 if they passed the threshold, and 0 otherwise: Absolute change in length-weighted number of winter floods > 4; Percent change in length-weighted 25-year flood > 25; Percent change in length-weighted decadal low flow > 25; Percent change in snow water equivalent > 25; Percent change in snow residence time > 25; Percent change in 90th percentile number of summer dry days > 25; Historical (1993-2011) stream temperature > 18 °C (i.e., above 20 °C with a 2 °C temperature increase); These values were summed, then divided by the number of variables with data in that subwatershed, to identify the percentage of variables with projected changes over the thresholds. Low: < 25%; Medium: >= 25, < 50%; High: >50%; All future data are for the time period 2070-2099, using RCP 8.5 (https://www.globalchange.gov/browse/multimedia/emissions-concentrations-and-temperature-projections), The input layers used for the summaries include the Streamflow Metrics dataset (https://storymaps.arcgis.com/stories/6a6be7d624db41638a24b659305af522), National Forest Climate Change Maps (https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html), and the NorWeST Stream Temperature dataset (https://www.fs.usda.gov/rm/boise/AWAE/projects/NorWeST.html). Note that data on the individual climate stress variables is available from the data provider. Spatial Extent: CONUSUnits: Varies
Copyright Text: USDA Forest Service: Office of Sustainability and Climate (OSC) and Rocky Mountain Research Station (RMRS)
Name: (DRAFT) - Climate Stress Summary By Subwatershed - Raster Data
Display Field: RelChg
Type: Raster Layer
Geometry Type: null
Description: (DRAFT) - Climate Stress Summary By Subwatershed - Vector. This layer describes the relative magnitude of projected changes across watersheds. Seven climate stress variables were summarized by subwatershed. Thresholds were then assigned to each of the variables, with the variables given a value of 1 if they passed the threshold, and 0 otherwise: Absolute change in length-weighted number of winter floods > 4; Percent change in length-weighted 25-year flood > 25; Percent change in length-weighted decadal low flow > 25; Percent change in snow water equivalent > 25; Percent change in snow residence time > 25; Percent change in 90th percentile number of summer dry days > 25; Historical (1993-2011) stream temperature > 18 °C (i.e., above 20 °C with a 2 °C temperature increase); These values were summed, then divided by the number of variables with data in that subwatershed, to identify the percentage of variables with projected changes over the thresholds. Low: < 25%; Medium: >= 25, < 50%; High: >50%; All future data are for the time period 2070-2099, using RCP 8.5 (https://www.globalchange.gov/browse/multimedia/emissions-concentrations-and-temperature-projections), The input layers used for the summaries include the Streamflow Metrics dataset (https://storymaps.arcgis.com/stories/6a6be7d624db41638a24b659305af522), National Forest Climate Change Maps (https://www.fs.usda.gov/rm/boise/AWAE/projects/national-forest-climate-change-maps.html), and the NorWeST Stream Temperature dataset (https://www.fs.usda.gov/rm/boise/AWAE/projects/NorWeST.html). Scenario = RCP 8.5; incorporates data from several data sources. Climate variables (snow-water equivalent, snow residence time, and summer dry days) use the average of 20 global climate models (bcc-csm1-1, bcc-csm1-1-m, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2-CC365, HadGEM2-ES365, inmcm4 , IPSL-CM5A-LR, IPSL-CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC-ESM-CHEM, MRI-CGCM3, NorESM1-M). Streamflow variables (winter floods, 25-year floods, and decadal low flows) use the average of 5 climate models used in RPA Assessment: Least Warm-MRI-CGCM3; Hot-HadGEM2-ES; Dry-IPSL-CM5A-MR; Wet-CNRM-CM5; Middle-NorESM1-M. Stream temperature adds 2 degrees Celsius to historical (1993–2011) temperatures. Spatial Extent: CONUSUnits: Varies
Copyright Text: USDA Forest Service: Office of Sustainability and Climate (OSC) and Rocky Mountain Research Station (RMRS)