The intended use of this data is to support diverse park activities including planning, management, maintenance, research, and interpretation.

This is a comprehensive, updated feature class for all roads in Grand Teton NP and John D. Rockefeller, Jr. Memorial Parkway, with class, access, Federal Highway (FHWA), and Facility Management System (FMSS) attributes.

This is a comprehensive, updated feature class for all roads in Grand Teton NP and John D. Rockefeller, Jr. Memorial Parkway, with class, access, Federal Highway (FHWA), and Facility Management System (FMSS) attributes.

These data depict trail segment centerlines and attributes for trails that are managed and maintained by the National Park Service. Trail data are used for many purposes including planning and management, mapping and condition assessment, routing and navigation, public information, emergency response, and research.

These data depict Road Segment Centerlines and attributes for roads that are managed and maintained by the National Park Service. Road data are used for many purposes including planning and management, mapping and condition assessment, routing and navigation, public information, emergency response, and research. A current, accurate representation of park roads is needed for national reporting and a variety of mapping requirements at all levels of the National Park Service and the general public. A National-level dataset allows the NPS to communicate a consistent and high-quality roads database to NPS staff, partners, visitors, and entities that produce maps and location-based services of park units. The collection, storage, and management of road-related data are important components of everyday business activities in many Federal and State land-managing agencies, road organizations, and businesses. From a management perspective, road data must often mesh closely with other types of infrastructure, resource, and facility enterprise data. For the public using paper maps, the internet, GPS or other instrumentation, standard data formats enable users to consistently and predictably identify specific trails and a core set of corresponding information. Today, digital road data are a necessity throughout a road data management life-cycle, from road planning through design, construction, operation, and maintenance. Automating, sharing, and leveraging road data through this widely accepted standard can provide a variety of important benefits: Efficiency – creating and gathering road data that are standardized and readily usable. Compatibility – compiling data from one project or discipline that can be compatible with other applications; Consistency – using the same standards, meshing data produced by one organization with that developed by another; Speed – hastening the availability of data through a reduction in duplicative efforts and lowered production costs (Applications can be developed more quickly and with more interoperability by using existing standards-compliant data); Conflict resolution – resolving conflicting road data more easily if compliant to the same standards; Reliability – improving the quality of shared road data by increasing the number of individuals who find and correct errors; and Reusability – allow maximum reuse across agencies and support objectives of EGovernment (E-Gov) initiatives and enterprise architecture.

Trails data are intended to be used for a variety of mapping, resource management, planning, and analysis applications.

Trails data are intended to be used for a variety of mapping, resource management, planning, and analysis applications.

Publicly available GIS data from Yellowstone National Park hosted on the National Park Service ArcGIS Online (https://nps.maps.arcgis.com/home/index.html)

Little is known about fens in Grand Teton National Park (GRTE) and John D. Rockefeller, Jr. Memorial Parkway (JODR). To better manage fen resources in GRTE and JODR, the National Park Service funded the Colorado Natural Heritage Program to create a map of potential fens within GRTE and JODR, visit potential fen polygons to verify their status as fens, and survey for rare fen-indicator plant species. Potential fens were mapped in the winter of 2022-23. The initial map of fens contained 906 potential fens covering 5,208 acres. Field sampling took place in the summer of 2023 and verified 41 fens and 28 peat-accumulating wetlands. Field sampling also confirmed that 48 polygons were not fens. The revised map contained 1,016 acres of confirmed or highly likely fens, which were concentrated at elevations below 2100 m in specific areas of the parks, including Lower Jackson Lake watershed and most of JODR. One hundred and twenty-seven populations of 23 rare fen-indicator plant species were observed either within or near confirmed fens. Rapid vegetation surveys were conducted in 38 confirmed fens. Most fens were characterized as rich fens, with some considered poor fens and no sites meeting the water chemistry and vegetation classification of extreme rich fen. GRTE and JODR fens are exceptional resources that support numerous rare species. Management plans for the park units should protect and avoid impacting these special habitats and their species so they remain intact into the future.

Little is known about fens in Grand Teton National Park (GRTE) and John D. Rockefeller, Jr. Memorial Parkway (JODR). To better manage fen resources in GRTE and JODR, the National Park Service funded the Colorado Natural Heritage Program to create a map of potential fens within GRTE and JODR, visit potential fen polygons to verify their status as fens, and survey for rare fen-indicator plant species. Potential fens were mapped in the winter of 2022-23. The initial map of fens contained 906 potential fens covering 5,208 acres. Field sampling took place in the summer of 2023 and verified 41 fens and 28 peat-accumulating wetlands. Field sampling also confirmed that 48 polygons were not fens. The revised map contained 1,016 acres of confirmed or highly likely fens, which were concentrated at elevations below 2100 m in specific areas of the parks, including Lower Jackson Lake watershed and most of JODR. One hundred and twenty-seven populations of 23 rare fen-indicator plant species were observed either within or near confirmed fens. Rapid vegetation surveys were conducted in 38 confirmed fens. Most fens were characterized as rich fens, with some considered poor fens and no sites meeting the water chemistry and vegetation classification of extreme rich fen. GRTE and JODR fens are exceptional resources that support numerous rare species. Management plans for the park units should protect and avoid impacting these special habitats and their species so they remain intact into the future.