데이터셋 상세
미국
Santa Fe National Historic Trail
These are vector datasets for the Santa Fe National Historic Trail.
데이터 정보
연관 데이터
Santa Fe National Historic Trail
공공데이터포털
These are vector datasets for the Santa Fe National Historic Trail.
California National Historic Trail
공공데이터포털
This is a vector line ESRI Shapefile showing the approximate designated route of the California National Historic Trail.
Pony Express National Historic Trail
공공데이터포털
This is a vector line ESRI Shapefile showing the approximate designated route of the Pony Express National Historic Trail.
Oregon National Historic Trail
공공데이터포털
This is a vector line ESRI Shapefile showing the approximate designated route of the Oregon National Historic Trail.
Pony Express National Historic Trail Pony Express Re-Ride
공공데이터포털
These are vector point/line/polygon hosted feature services showing various spatial data for the Pony Express National Historic Trail Re-Ride.
Pony Express National Historic Trail Pony Express Re-Ride
공공데이터포털
These are vector point/line/polygon hosted feature services showing various spatial data for the Pony Express National Historic Trail Re-Ride.
El Camino Real de los Tejas National Historic Trail
공공데이터포털
This is a vector line ESRI Shapefile showing the approximate designated route of the El Camino Real de los Tejas National Historic Trail.
El Camino Real de Tierra Adentro National Historic Trail
공공데이터포털
This is a feature service showing the approximate designated route of the El Camino Real de Tierra Adentro National Historic Trail.
Rangeland Ecosystem Data, Grand Canyon - Parashant National Monument, AZ, USA
공공데이터포털
These data were compiled for an assessment of rangeland ecosystem conditions of the Grand Canyon - Parashant National Monument. The approximately one-million-acre Grand Canyon-Parashant National Monument (PARA) is located in the northwest corner of Arizona and co-managed by the Bureau of Land Management (BLM) and National Park Service (NPS). This report is focused on the ca. 200,000 acres of NPS administered lands—one of the largest NPS units where livestock grazing is a permitted land-use activity. Many ecosystems in PARA are characterized by a low degree of resilience to improper grazing due to low and variable precipitation. PARA is marked by an extremely high degree of environmental heterogeneity, including a large elevation gradient, widely differing precipitation patterns, a diversity of geologic substrates, and unique combinations of plant species. Locations for rangeland assessments were selected using a stratified, spatially balanced random sampling method based on allotment, soil type, slope, distance to cattle water locations, and accessibility. A total of 155 plots were established and sampled between March and November of 2012 and 2013. Data collection at each plot included soil geomorphic setting descriptions, plant and soil cover, and soil aggregate stability.
Rangeland Ecosystem Data, Grand Canyon - Parashant National Monument, AZ, USA
공공데이터포털
These data were compiled for an assessment of rangeland ecosystem conditions of the Grand Canyon - Parashant National Monument. The approximately one-million-acre Grand Canyon-Parashant National Monument (PARA) is located in the northwest corner of Arizona and co-managed by the Bureau of Land Management (BLM) and National Park Service (NPS). This report is focused on the ca. 200,000 acres of NPS administered lands—one of the largest NPS units where livestock grazing is a permitted land-use activity. Many ecosystems in PARA are characterized by a low degree of resilience to improper grazing due to low and variable precipitation. PARA is marked by an extremely high degree of environmental heterogeneity, including a large elevation gradient, widely differing precipitation patterns, a diversity of geologic substrates, and unique combinations of plant species. Locations for rangeland assessments were selected using a stratified, spatially balanced random sampling method based on allotment, soil type, slope, distance to cattle water locations, and accessibility. A total of 155 plots were established and sampled between March and November of 2012 and 2013. Data collection at each plot included soil geomorphic setting descriptions, plant and soil cover, and soil aggregate stability.