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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (1) Types Citation (1) Contacts Eric T Sundquist Camille L Stagg Bergit (Contractor) R Uhran U.S. Geological Survey U.S. Geological Survey - ScienceBase More... Categories Publication (1) Tag Types Theme (1) Place (1) Harvest Set (1) USGS Scientific Topic Keyword (1) Tag Schemes None (1) USGS (1) ISO 19115 Topic Category (1) View Results as: JSON ATOM CSV

Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States These datasets represent a revised national scale estimate of wetland soil carbon stock assessments by improving representation of soil organic carbon densities. This assessment is based on a three-step approach to harmonize survey and point-based data for predicting soil organic carbon density from percent organic carbon alone (or percent organic matter, with conversion), when reliable dry bulk density information is not available. Given issues with survey-level extrapolation of soil pedons into discontinuous hydric soils, quantile, segmented data analysis provides a more accurate spatially explicit soil organic carbon density product. These modeled data leverage spatial and statistical distributions of soil organic... Tags: CONUS, Soil Sciences, USGS Science Data Catalog (SDC), biota, bulk density, All tags... hydric soil, inland, soil chemistry, soil horizons, soil organic carbon, tidal, wetland, Fewer tags Improved Wetland Soil Organic Carbon Stocks of the Conterminous U.S. Through Data Harmonization Wetland soil stocks are important global repositories of carbon (C) but are difficult to quantify and model due to varying sampling protocols, and geomorphic/spatio-temporal discontinuity. Merging scales of soil-survey spatial extents with wetland-specific point-based data offers an explicit, empirical and updatable improvement for regional and continental scale soil C stock assessments. Agency-collected and community-contributed soil datasets were compared for representativeness and bias, with the goal of producing a harmonized national map of wetland soil C stocks with error quantification for wetland areas of the conterminous United States (CONUS) identified by the USGS National Landcover Change Dataset. This... Categories: Publication; Types: Citation