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This dataset represents soil suitability for timber harvest, based on surveys. The attributes of this dataset describe the different levels of soil suitability for each area, on the basis of slope stability, droughtiness, and forest regeneration potential.
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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 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 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 project developed a soil vulnerability index and map indicating where forest cover will be most affected by climate change. Using this map, researchers developed a greater understanding of potential changes in soil moisture and temperature regimes under future climate conditions. They then evaluated how this information could be used to improve vegetation models across the landscape. They compared the results of different modeling approaches to the soil vulnerability map, synthesized the state of knowledge and uncertainty, and introduced management implications for action.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, AK, AK, AK, AK, All tags...
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Soil resource inventory in Grant County in the John Day River valley, outside of the Malheur National Forest
Tags: inventory, soils
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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 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 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...
The over-arching theme of this work is that soil data affect the performance and realism of vegetation models with particular focus on their ability to predict or explain disturbances such as fire or disease. We tested the sensitivity of the Excel version of the 3-PG model to soil properties and applied this information to understanding bark beetle attacks in drought-stressed forests. We tested the sensitivity of the MC2 model to soil depth with a particular focus on how soils affect the biogeochemistry and fire modules of the Dynamic Global Vegetation Model (DGVM). We found in these sensitivity analyses, soil depth, soil water storage capacity (ASW) and soil texture are among the most important soil factors to...
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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 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...


map background search result map search result map Pacific Northwest Forest Soils:  Creating a Soil Vulnerability Index to Identify Drought Sensitive Areas Soil Inventory (John Day Valley) High Sodium Absorption Ratio (SAR>=13) - Southern Rockies LCC - North Shallow Soils (Depth < 5 in) - Southern Rockies LCC - North Predicted Wind Erodability Group (WEG) - Southern Rockies LCC - North Predicted Sodium Absorption Ratio (SAR) - Southern Rockies LCC - North Predicted Soil pH - 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 Water Erodibility Factor (Kw Factor) - Southern Rockies Landscape Conservation Cooperative - South Predicted Soil pH - Southern Rockies LCC - South Predicted Available Water Storage Capacity (AWC) - Southern Rockies LCC - South Accumulation Layer - Southern Rockies LCC - South Accumulation Layer - Southern Rockies LCC - North Available Water Storage Capacity - Southern Rockies LCC - South Wind Erodability Group (WEG) - Southern Rockies LCC - North State Soil Geographic (STATSGO2) data base for California Umpqua National Forest, OR, USA - Soil Suitability for Timber Harvest Soil Inventory (John Day Valley) Umpqua National Forest, OR, USA - Soil Suitability for Timber Harvest Pacific Northwest Forest Soils:  Creating a Soil Vulnerability Index to Identify Drought Sensitive Areas Accumulation Layer - Southern Rockies LCC - North Predicted Sodium Absorption Ratio (SAR) - Southern Rockies LCC - South Predicted Soil Water Erodibility Factor (Kw Factor) - Southern Rockies Landscape Conservation Cooperative - South Predicted Soil pH - Southern Rockies LCC - South Predicted Available Water Storage Capacity (AWC) - Southern Rockies LCC - South Accumulation Layer - 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 Shallow Soils (Depth < 5 in) - Southern Rockies LCC - North Predicted Wind Erodability Group (WEG) - Southern Rockies LCC - North Predicted Sodium Absorption Ratio (SAR) - Southern Rockies LCC - North Predicted Soil pH - Southern Rockies LCC - North Predicted Percent Gypsum Content of Soils - Southern Rockies LCC - North Wind Erodability Group (WEG) - Southern Rockies LCC - North Soils with Hydric Rating for the Southern Rockies LCC - South, USA