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This dataset represents soils of Wyoming at 1:100,000- scale. The layer contains 350 separate soils descriptions across 23 Wyoming counties. The layer was compiled based on the five-factor soil forming model using digital surficial geology, bedrock geology, and elevation. This dataset will be more fully documented in 23 AES publications scheduled for completion in winter of 99/00. These publications will use the designation AES Bulletin B-1071 followed by a two letter abreviation for each county.
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This is the SSURGO soils data from the USDA, NRCS, clipped to the boundary of Bear Valley NWR. Some of the attributes are included in this dataset, but not the entire database which is available from the NRCS. For full metadata, see this site: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/tx/home/?cid=nrcs142p2_053631
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soil depth data from new soil data set for the eastern Oregon study area of the WWETAC VDDT project, from Jeff Kern and Michelle Buonopane in August, 2010
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Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
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This dataset was created from the combination of SSURGO data. Component-level data from SSURGO were derived from the dominant component in each mapping unit (the unit that had the highest representative percent of the mapping unit). Numeric horizon-level data from SSURGO were derived from an average average across all horizons within a component, and an area-weighted average between components. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely...
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This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster and predicted through digital soil mapping tehcniques by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized...
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This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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This dataset covers the southern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas are studied, and the probable classification and extent of the soils are determined. Map unit composition for a STATSGO map is determined by transecting...
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This dataset covers the northern half of the Southern Rockies Landscape Conservation Cooperative. It was aggregated and converted to raster by Conservation Biology Institute as part of a soil vulnerability study funded in part by the Southern Rockies LCC. The soil data come from a digital soil survey, the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey...
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Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in...
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The New York Water Science Center of the U.S. Geological Survey (USGS) in Troy, N.Y., operates a state-of-the-science laboratory for the chemical analysis of soil and water. For over 20 years, the laboratory has specialized in analyses used in acid rain research and other environmental studies such as soil effects on forest health and logging effects on water quality.Laboratory Information:Contact the Lab for customized schedules and fees. phone: (518) 285-5681 Water Soils Ammonium ...
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The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth...


map background search result map search result map Soils for Sheridan County Wyoming at 1:100,000 High Sodium Absorption Ratio (SAR>=13) - Southern Rockies LCC - North Predicted Percent Gypsum Content of Soils - Southern Rockies LCC - North Soils with Hydric Rating for the Southern Rockies LCC - South, USA Predicted Sodium Absorption Ratio (SAR) - Southern Rockies LCC - South Predicted Soil pH - Southern Rockies LCC - South Predicted Available Water Storage Capacity (AWC) - Southern Rockies LCC - South Accumulation Layer - Southern Rockies LCC - North Available Water Storage Capacity - Southern Rockies LCC - South State Soil Geographic (STATSGO2) data base for California new soil depth data for eastern Oregon study area Soil and Low-Ionic-Strength Water Quality Laboratory Soils (SSURGO), Bear Valley NWR Rangeland Ecology Monitoring Data, Utah, 1967-2013 Baseline data for a hydrological restoration of a mangrove forest near Goodland, Florida (2015 - 2017) Permafrost Database Development, Characterization, and Mapping for Northern Alaska Baseline data for a hydrological restoration of a mangrove forest near Goodland, Florida (2015 - 2017) Soils (SSURGO), Bear Valley NWR Rangeland Ecology Monitoring Data, Utah, 1967-2013 new soil depth data for eastern Oregon study area Soils for Sheridan County Wyoming at 1:100,000 Soil and Low-Ionic-Strength Water Quality Laboratory Accumulation Layer - Southern Rockies LCC - North Predicted Sodium Absorption Ratio (SAR) - Southern Rockies LCC - South Predicted Soil pH - Southern Rockies LCC - South Predicted Available Water Storage Capacity (AWC) - Southern Rockies LCC - South Available Water Storage Capacity - Southern Rockies LCC - South State Soil Geographic (STATSGO2) data base for California High Sodium Absorption Ratio (SAR>=13) - Southern Rockies LCC - North Predicted Percent Gypsum Content of Soils - Southern Rockies LCC - North Permafrost Database Development, Characterization, and Mapping for Northern Alaska Soils with Hydric Rating for the Southern Rockies LCC - South, USA