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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...
Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience and...
Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014, 2016). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience...
Mississippi River Basin Gridded SSURGO mapunits with at least 5% organic matter (generalized calculation using soil organic carbon values in the 0-20 cm horizon; assuming that bulk density is 1.4 g/cubic meter and that organic matter is 58% carbon).
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
Soils,
agriculture,
birds,
Mississippi River Basin Gridded SSURGO potential wetland soil landscapes (PWSL version 1) - the percentage of the map unit (all components) that meet the criteria for a potential wetland soil landscape. For version 1 (pwsl1), those soil components that meet the following criteria are tagged as PWSL and their comppct_r values are summed for each map unit. Soil components with hydricrating = 'YES' are considered PWSL. Soil components with hydricrating = “NO” are not PWSL. Soil components with hydricrating = 'UNRANKED' are tested using other attributes, and will be considered PWSL if any of the following conditions are met: drainagecl = 'Poorly drained' or 'Very poorly drained' or the localphase or the otherph data...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
Soils,
agriculture,
birds,
Data layers pertinent to drainage water management e.g. cropland on flat slopes, poorly drained soils, and soils with sufficient organic matter.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
agriculture,
birds,
conservation,
Mississippi River Basin Gridded SSURGO soil organic carbon "soc_0_20" in the 0-20 cm horizon. Units: grams/square meter.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
Soils,
agriculture,
birds,
Mississippi River Basin Gridded SSURGO Drainage Class (Dominant Condition) "drclassdcd".
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
Soils,
agriculture,
birds,
This tabular data set represents the estimated percent presence of the soil restrictive layer on agricultural land compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Estimates of the Soil Restrictive Layer in the Upper 25, 35, 45, and 55 centimeters of agricultural land in the conterminous United States" produced by the United States Geological Survey (Nakagaki and others, 2012). Units are percent. Reach catchment information...
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...
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...
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...
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...
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...
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...
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...
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...
We have recently added a KML export function to our online soil survey ( Soil-Web ). The Google Earth icon is displayed at map scales of 1:35000 or larger, and clicking on it will create a KML file containing the SSURGO polygons within the current viewport. The KML file contains labeled centroids, with links to the map unit descriptions which are normally found on Soil-Web. You will need a current version of Google Earth in order to take advantage of the KML produced by our website. To use this feature, zoom into a region of interest (at a scale of 1:35000 or larger) and click on the small Google Earth icon in the tool bar. If you have Google Earth installed, you may be prompted by the web browser software...
Our online soil survey can be used to access NRCS-NCSS 1:24,000 scale detailed soil survey data (SSURGO) in many parts of the lower 48 states. Where this data is not yet available, 1:250,000 scale generalized soils data (STATSGO) can be accessed instead (AZ, CA, NV only). An interactive map interface allows for panning and zooming, with highways, streets, and aerial photos to assist navigation (Figure 1). Soil polygons become visible near a scale of 1:30,000. Alternatively, a GPS point, CA Zip code, or a street address can be used to zoom in on a specific location. General usage notes and information on how our online soil survey work can be found here . Statistics on who is using our online soil survey can be...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. 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 sensed and other information. This data set consists of georeferenced digital map data and computerized attribute...
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