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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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Values represent percent of surrounding landscape (5K) are dominated by sagebrush cover. Reclassified LANDFIRE 2013 Existing Vegetation Type by selecting the ecological systems containing sagebrush (Codes: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) to create a binary raster dataset with 1 for the sagebrush land cover types and zero for all others.To incorporate sagebrush lost to fire in fires since the Landsat was flown in 2010 that Landfire was derived from, I used fire perimeters from 2011,2012, & 2013 to reclassify pixels designated as having sagebrush as 0 (not having sagebrush), which assumes a homogenous burn (in reality there may be patches of sagebrush left within a burn perimeter). I then ran focalsum...
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This tabular data set represents the percentages of soils for each STATSGO2 Hydrologic Group 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. The source data is found in the component table from the "STATSGOs" soil database produced by the United States Department of Agriculture (USDA, 2010). The variables included are hydrologic groups. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through...
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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). 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...
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 dataset consists of a 100 meter resolution raster of depth and area weighted averages for soil pH for each map unit key (MUKEY) in the U.S. Department of Agriculture, Natural Resources Conservation Service's (NRCS) State Soil Geographical (STATSGO2) database (NRCS, 2016). This raster was developed from selected criteria of soil parameters from the STATSGO2 database and mapped to MUKEYs.
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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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This dataset consists of a 100 meter resolution raster of depth and area weighted averages for soil pH for each map unit key (MUKEY) in the State Soil Geographical (STATSGO2) database (NRCS, 2016). This raster was developed from selected criteria of soil parameters from the STATSGO2 database and mapped to a 100 meter resolution rasterized version of MUKEY polygons.
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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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...


    map background search result map search result map Detailed SSURGO and STATSGO Soil Temperature  Moisture Data Dataset: Sagebrush MW5k Percent Combined SSURGO and STATSGO2 Soil Moisture and Temperature Regime Data Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones Soil Temperature and Moisture Regime Data across Sage-Grouse Management Zones Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: STATSGO2 Soil Characteristics, Hydrologic Groups Area- and Depth-Weighted Average of Soil pH from STATSGO2 for the Conterminous United States and District of Columbia Area- and Depth-Weighted Average of Soil pH from STATSGO2 for the Conterminous United States and District of Columbia Detailed SSURGO and STATSGO Soil Temperature  Moisture Data Combined SSURGO and STATSGO2 Soil Moisture and Temperature Regime Data Soil Temperature and Moisture Regime Data across Sage-Grouse Management Zones Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones Dataset: Sagebrush MW5k Percent Area- and Depth-Weighted Average of Soil pH from STATSGO2 for the Conterminous United States and District of Columbia Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: STATSGO2 Soil Characteristics, Hydrologic Groups Area- and Depth-Weighted Average of Soil pH from STATSGO2 for the Conterminous United States and District of Columbia