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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...
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Reserve design is a process that must address many ecological, social, and political factors to successfully identify parcels of land in need of protection to sustain wildlife populations and other natural resources. Making land acquisition choices for a large, terrestrial protected area is difficult because it occurs over a long timeframe and may involve consideration of future conditions such as climate and urbanization changes. Decision makers need to consider factors including: order of parcel purchasing given budget constraints, future uncertainty, potential future landscape-scale changes from urbanization, and climate. In central Florida, two new refuges and the expansion of a third refuge are in various stages...
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The Gridded SSURGO National Commodity Crop Productivity Index (NCCPI), version 2.0, arrays soils according to their inherent capacity to produce dryland (nonirrigated) commodity crops. Most of the NCCPI criteria relate directly to the ability of soils, landscapes, and climates to foster crop productivity. A few criteria relate to factors that can limit use of the land (e.g., surface boulders). All criteria used in the index affect crop culture and production and are referred to as factors affecting inherent productivity. Higher values represent higher capacity for production. Extent: Mississippi River Basin. IN ORDER TO CREATE A MANAGEABLE FILE SIZE, THE ORGINAL DATA WAS MULTIPLIED BY 100, THUS VALUES RANGE FROM...
This map service is an information surface representing the maximum class within the soil map unit polygon for flooding frequency probability. Each component (and therefore soil map unit polygon) falls into one of the following classes according to NRCS: None, Very rare, Rare, Occasional, Frequent, and Very frequent. This service reports the significant component (making up at least 15% of the map unit) with the maximum flooding frequency probability class. Another service exists for flooding frequency class which reports the dominant class in the soil map unit. The concept is similar but for some cases knowing the dominant flooding frequency component may be a more useful information surface. Esri is providing...
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This is a map of historical ("presettlement") vegetation for the state of Oregon, created with Arcview 3.2 by merging digital data from different sources: H. J. Andrews, General Land Office (GLO), Soil Survey Geographic (SSURGO), BLM, Oregon Gap analysis. The H. J. Andrews map forms the background into which more detailed coverages were incorporated. The data consist of an ArcView shapefile. Scale varies throughout the coverage, depending on the source of the data; the overall scale is 1:100,000.
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This dataset was created using the USDA Natural Resources Conservation Service’s (NRCS’s) SSURGO soil survey data and supplemented with STATSGO data in areas where SSURGO was not available. The dataset uses, in part, the soil data viewer extension for ArcMap to query for Wind Erodibility. Revised SSURGO map units provided by NRCS were used to update the map units near the Colorado-New Mexico border. The dataset is limited by availability of more detailed soils information from SSURGO, because this ecoregion contains areas not yet mapped by SSURGO. Wind Erodibility:A wind erodibility group (WEG) consists of soils that have similar properties affecting their susceptibility to wind erosion in cultivated areas. The...
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This digital dataset contains the soil data for the updated Central Valley Hydrologic Model (CVHM2). The soil data is based on California Department of Water Resource’s C2VSim’s fine grid model soil curve number data set (C2VSimFG Version 1.0 - Datasets; CNRA, 2011). These values were originally obtained from the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO) soil map of the State of California (USDA, 2004), and then an area-weighted average value for each hydrologic soil group within each subregion was calculated to the C2VSim element. Curve number values obtained from SSURGO were converted for use in C2VSimFG. To translate the curve...
Partial Gridded SSURGO (30-meter) extracted to Mississippi River Basin. Includes the following attribute tables: mapunit; muaggatt, valu1. This layer represents soil map unit polygons in a raster format. Each cell value is represented by the integer version of the mapunit key. The standard character mapunit key (MUKEY) is also included so that the raster attribute table can be joined to other soil attribute tables. The national gSSURGO Value Added Look Up (valu1) Table Database that provides ready-to-map themes such as available water storage and soil organic carbon in (11) standard depth layers and zones; crop root zone depths; available water storage in the crop root zone; drought vulnerable soil landscapes;...
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...
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This map service is an information surface representing the dominant class within the soil map unit polygon for soil drainage class. Each component (and therefore soil map unit polygon) falls into one of the following classes according to NRCS: Very Poorly Drained, Poorly Drained, Somewhat Poorly Drained, Moderately Well Drained, Well Drained, Somewhat Excessively Drained and Excessively Drained. Of soil components which make up greater than or equal to 15% of the soil map unit, the wettest component is reported by the map service. Another service exists for drainage class which reports the dominant class in the soil map unit. The concept is similar but for some purposes knowing the dominant component may be...
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The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. The maps outline areas called map units. The map units describe soils and other components that have unique properties, interpretations, and productivity. The information was collected at scales ranging from 1:12,000 to 1:63,360. More details were gathered at a scale of 1:12,000...
These data depict the western United States Map Unit areas as defined by the USDA NRCS. Each Map Unit area contains information on a variety of soil properties and interpretations. The raster is to be joined to the .csv file by the field "mukey." We keep the raster and csv separate to preserve the full attribute names in the csv that would be truncated if attached to the raster. Once joined, the raster can be classified or analyzed by the columns which depict the properties and interpretations. It is important to note that each property has a corresponding component percent column to indicate how much of the map unit has the dominant property provided. For example, if the property "AASHTO Group Classification (Surface)...
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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 point feature class contains 81,481 points arranged in a 270-meter spaced grid that covers the Spring Mountains and Sheep Range in Clark County, Nevada. Points are attributed with hydroclimate variables and ancillary data compiled to support efforts to characterize ecological zones.
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This map service is an information surface representing the dominant class within the soil map unit polygon for soil drainage class. Each component (and therefore soil map unit polygon) falls into one of the following classes according to NRCS: Very Poorly Drained, Poorly Drained, Somewhat Poorly Drained, Moderately Well Drained, Well Drained, Somewhat Excessively Drained and Excessively Drained. The class belonging to the component that makes up the highest percentage of the map unit is reported by the map service. Another service exists for drainage class which reports the wettest class in the soil map unit. The concept is similar but for some purposes knowing the wettest component may be the most useful piece...
The Natural Resources Conservation Service ( NRCS ) - National Cartography and Geospatial Center ( NCGC ) previously archived and distributed the Soil Survey Geographic (SSURGO) Database. Only file downloads were available from this site. This limited the amount of soil survey information that could be accessed. The NRCS - NCGC also supplied SSURGO data to the United States Department of Agriculture - Service Center Agencies (Farm Service Agency, Natural Resources Conservation Service, and Rural Development) Geospatial Data Gateway . While the Gateway provides file downloads, a customer can also order SSURGO data on CD-ROM or DVD. The NRCS Soil Survey Division recognized that increased functionality for...
Categories: Web Site; Tags: SSURGO, soil data access, soils
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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...
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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...
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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).
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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...


map background search result map search result map Wettest Soil Drainage Class Dominant Soil Drainage Class Oregon Historic Vegetation Maximum Soil Flooding Frequency Probability Class Informing the Identification of High-Priority Lands for the Everglades Headwaters National Wildlife Refuge Considering Future Climate and Urbanization Detailed SSURGO and STATSGO Soil Temperature  Moisture Data Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones Gridded SSURGO - Organic Soils Gridded SSURGO - Potential Wetland Soil Landscapes Gridded SSURGO - Cropland Productivity Index (Overall) X 100 Soils Data - Salinas River NWR BLM REA SLV 2013 Soils WindErodibility Poly NRCS FY2018 Soil Properties and Interpretations, Derived Using gSSURGO Data and Tools Central Valley Hydrologic Model version 2 (CVHM2): Soil Data Geospatial Database of Hydroclimate Variables, Spring Mountains and Sheep Range, Clark County, Nevada Soils Data - Salinas River NWR Informing the Identification of High-Priority Lands for the Everglades Headwaters National Wildlife Refuge Considering Future Climate and Urbanization Geospatial Database of Hydroclimate Variables, Spring Mountains and Sheep Range, Clark County, Nevada BLM REA SLV 2013 Soils WindErodibility Poly Oregon Historic Vegetation Central Valley Hydrologic Model version 2 (CVHM2): Soil Data Detailed SSURGO and STATSGO Soil Temperature  Moisture Data Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones NRCS FY2018 Soil Properties and Interpretations, Derived Using gSSURGO Data and Tools Gridded SSURGO - Organic Soils Gridded SSURGO - Potential Wetland Soil Landscapes Gridded SSURGO - Cropland Productivity Index (Overall) X 100 Wettest Soil Drainage Class Dominant Soil Drainage Class Maximum Soil Flooding Frequency Probability Class