Description: Point locations for ski areas permitted by the US Forest Service within Region 5 (California) were digitized based on a PDF map developed in 2012 by the US Forest Service Geospatial Technology and Applications Center (formally referred to as the Geospatial Service and Technology Center). Locations were confirmed using aerial imagery and tabular data from the Special Use Data System (SUDS).
Copyright Text: US Forest Service, Pacific Southwest Region
Description: The Bridge Feature Class provides descriptive and location information about Bridges located on Forest Service lands. This is a point vector dataset. The XY point locations are derived from the latitude/longitude coordinates that are entered by users into the Bridges model in Infra (an asset management database). The descriptive information in this feature class includes: a physical description of the type and size of the structure, management data, and condition data from the most recent inspection. The location information includes: The region, forest, and district on which the bridge is located, the road and milepost (MP) location of the bridge, the latitude/longitude, and the state and county. This is a published feature class and is constructed by reformatting data stored in the Infra database and managed by the individual administrative units. This feature class is not used for data entry or editing.
Description: The Dam Feature Class provides locations for dams located on Forest Service lands. This includes a set of attribute data necessary for use in the management of the Dam Safety Program. Federally Owned and Non-Federally Owned dams are included in this feature class.
Description: Existing Forest Service roads with attributes representing their characteristics. Each feature represents a segment of road where the attributes are the same. Attributes apply either to the entire road or to some measured distance along the road.
Description: The TIGER/Line shapefiles and related database/table files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The congressional districts for the 113th Congress (January 2013 to 2015) are the first Congressional Districts based on 2010 Census data. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).
Description: Percent change in bankfull flow between historical data and
2080 projections for trail segments within 90 m of streams.
Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes, aquatic organisms, and water resource management. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US under historical conditions and climate change scenarios. These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model produced by the University of Washington Climate Impacts Group. The US Forest Service Rocky Mountain Research Station used these model outputs to calculate a set of summary flow metrics to describe key attributes of the flow regime for each stream segment in the 1:100,000 scale National Hydrography Dataset (NHDPlus version 2, September 2012 snapshot) in the western US. Datasets are available for the historical period (1977-2006), the 2040s, and the 2080s. Future datasets (2040s and 2080s) are based on the ensemble mean of ten global climate models associated with the A1B emissions scenario. Please see the User Guide for more information and important caveats on appropriate use. https://www.fs.fed.us/rm/boise/AWAE/projects/modeled_stream_flow_metrics.shtml
The TrailNFS_Publish Layer is designed to provide information about National Forest System trail locations and characteristics to the public. It describes trail locations, basic characteristics of the trail, and where and when various trail uses are prohibited, allowed and encouraged. Because the data readiness varies between Forests, each Forest approves which level of attribute subset are published for that forest. Forests can provide no information or one of three attribute subsets describing trails. The attribute subsets include TRAILNFS_CENTERLINE which includes the location and trail name and number; TRAILNFS_BASIC which adds information about basic trail characteristics; and TRAILNFS_MGMT which adds information about where and when users are prohibited, allowed, and encouraged. When a Forest chooses to provide the highest attribute subset, TRAILNFS_MGMT, these attributes must be consistent with the Forest's published Motorized Vehicle Use Map (MVUM).
Copyright Text: U.S. Forest Service; Wenger, S.J., C.H. Luce, A.F. Hamlet, D.J. Isaak, and H.M Neville. 2010. Macroscale hydrologic modeling of ecologically relevant flow metrics. Water Resources Research. 46: W09513. doi:10.1029/2009WR008839.
Description: Percent change in bankfull flow between historical data and 2080 projections for road segments within 90 m of streams.
Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes, aquatic organisms, and water resource management. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US under historical conditions and climate change scenarios. These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model produced by the University of Washington Climate Impacts Group. The US Forest Service Rocky Mountain Research Station used these model outputs to calculate a set of summary flow metrics to describe key attributes of the flow regime for each stream segment in the 1:100,000 scale National Hydrography Dataset (NHDPlus version 2, September 2012 snapshot) in the western US. Datasets are available for the historical period (1977-2006), the 2040s, and the 2080s. Future datasets (2040s and 2080s) are based on the ensemble mean of ten global climate models associated with the A1B emissions scenario. Please see the User Guide for more information and important caveats on appropriate use. https://www.fs.fed.us/rm/boise/AWAE/projects/modeled_stream_flow_metrics.shtml
Existing Forest Service roads with attributes representing their characteristics. Each feature represents a segment of road where the attributes are the same. These attributes are generated from the II_ROAD_CORE_ATM table. This table contains nationally required descriptive attribute data that is stored within an Oracle database. Attributes apply either to the entire road or to some measured distance along the road.
Copyright Text: U.S. Forest Service; Wenger, S.J., C.H. Luce, A.F. Hamlet, D.J. Isaak, and H.M Neville. 2010. Macroscale hydrologic modeling of ecologically relevant flow metrics. Water Resources Research. 46: W09513. doi:10.1029/2009WR008839.
Name: Reduction in Snow Residence Time on Forest Service Roads by 2080
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolyline
Description: Existing Forest Service roads with attributes representing their characteristics. Each feature represents a segment of road where the attributes are the same. These attributes are generated from the II_ROAD_CORE_ATM table. This table contains nationally required descriptive attribute data that is stored within an Oracle database. Attributes apply either to the entire road or to some measured distance along the road.