Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
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Name: Surface Drinking Water Importance - Forests on the Edge
Display Field: HU_12_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: These data have been depreciated and an updated dataset is available titled Forests to Faucets 2.0 (2022). More information about Forests to Faucets 2.0 can be found at: https://www.fs.usda.gov/ecosystemservices/FS_Efforts/forests2faucets.shtml
The Forests on the Edge feature class is based on the digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the continental United States. This 2015 data set is an updated version of the 2011 Forests to Faucets data set. America’s private forests provide a vast array of public goods and services, including abundant, clean surface water. Forest loss and development can affect water quality and quantity when forests are removed and impervious surfaces, such as paved roads, spread across the landscape. In this study rank watersheds across the conterminous United States were ranked according to the contributions of private forest land to surface drinking water and by threats to surface water from increased housing density. Private forest land contributions to drinking water are greatest in the East but are also important in Western watersheds. Development pressures on these contributions are concentrated in the Eastern United States but are also found in the North-Central region, parts of the West and Southwest, and the Pacific Northwest; nationwide, more than 55 million acres of rural private forest land are projected to experience a substantial increase in housing density from 2000 to 2030. Planners, communities, and private landowners can use a range of strategies to maintain freshwater ecosystems, including designing housing and roads to minimize impacts on water quality, managing home sites to protect water resources, and using payment schemes and management partnerships to invest in forest stewardship on public and private lands.
Copyright Text: Mockrin, M.H.; Lilja, R.L.; Weidner, E.; Stein, S.M.; Carr, M.A. 2014. Private forests, housing growth, and America’s water supply: A report from the Forests on the Edge and Forests to Faucets Projects. Gen. Tech. Rep. RMRS-GTR-327. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 29 p. http://www.fs.fed.us/openspace/fote/private-forests.html
IMP1
(
type: esriFieldTypeDouble, alias: Index of surface drinking water importance
)
HDCHG_AC
(
type: esriFieldTypeDouble, alias: Acres of housing density change on private forest in the subwatershed
)
HDCHG_PER
(
type: esriFieldTypeDouble, alias: Percent of the watershed to experience housing density change on private forest
)
IMP_HD_PFOR
(
type: esriFieldTypeDouble, alias: Index Private Forest importance to Surface Drinking Water with Development Pressure
)
PTLE_IMP_HD
(
type: esriFieldTypeDouble, alias: Private Forest importance to Surface Drinking Water with Development Pressure (Figure 7), percentile
)
PTLE_HDCHG
(
type: esriFieldTypeDouble, alias: Percentage of each subwatershed to Experience an increase in House Density in Private Forest (Figure 6), percentile
)
FOR_AC
(
type: esriFieldTypeDouble, alias: Acres forest in the subwatershed
)
PFOR_AC
(
type: esriFieldTypeDouble, alias: Acres private forest in the subwatershed
)
PFOR_PER
(
type: esriFieldTypeDouble, alias: Percent of the subwatershed that is private forest
)
HU12_AC
(
type: esriFieldTypeDouble, alias: Acreage of the subwatershed
)
FOR_PER
(
type: esriFieldTypeDouble, alias: Percent of the subwatershed that is forest
)
PFOR_IMP
(
type: esriFieldTypeDouble, alias: Index of Private Forest Importance to Surface Drinking Water
)
TOP100
(
type: esriFieldTypeString, alias: Top 100 subwatersheds. 50 from the East, 50 from the west (using the Mississippi River as the divide.) (Figure 8), length: 50
)