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Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States

Dates

Publication Date
Start Date
2010-01-01
End Date
2011-12-31

Citation

Uhran, B.R., Windham-Myers, L., Bliss, N., Nahlik, A., Sundquist, E.T., and Stagg, C.L., 2022, Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9H1PIX3.

Summary

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 carbon percent [...]

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3.69 GB application/x-7z-compressed
3.69 GB application/x-7z-compressed

Purpose

These datasets represent harmonized data to leverage the spatial extent of NRCS soil properties and the detailed wetland-specific monitoring of EPA's National Wetland Condition Assessment and can be leveraged for customized soil carbon stock assessments. The resulting 10 centimeter-layered map product, initialized by the gridded SSURGO CONUS map of percent organic carbon, 1) quantifies wetland soil C stocks to 1 meter depth with error assessment, 2) identifies bias in data quality and spatial representativeness, and 3) identifies strategic improvements needed to assess wetland C stock vulnerability.

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Communities

  • USGS Data Release Products
  • USGS Wetland and Aquatic Research Center

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9H1PIX3

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