Published May 16, 2022 | Version v1.0
Dataset Open

Globally-gridded data for manuscript: Global stocks and capacity of mineral-associated soil organic carbon

Creators

  • 1. Lawrence Livermore National Laboratory
  • 2. Stanford University
  • 3. Charles University
  • 4. Oak Ridge National Laboratory
  • 5. Lund University
  • 6. Chinese Academy of Agricultural Science
  • 7. US Geological Survey
  • 8. University of Cambridge
  • 9. US Department of Agriculture
  • 10. Colorado State University
  • 11. Lawrence Berkeley National Laboratory

Description

Supporting globally-gridded data products for manuscript: Georgiou K., Jackson R. B., Vindušková O., Abramoff R. Z., Ahlström A., Feng W., Harden J. W., Pellegrini A. F. A., Polley H. W., Soong J. L., Riley W. J., Torn M. S. Global stocks and capacity of mineral-associated soil organic carbon. Nature Communications, 2022.

We leveraged data from a global synthesis of soil fractionation measurements (DOI: 10.5281/zenodo.5987415) along with ancillary data on climate, vegetation, and soil characteristics to produce spatially-explicit global estimates of mineral-associated soil organic carbon stocks (MOC) and mineralogical carbon capacity (MOCmax) in non-permafrost, non-desert mineral soils. Globally-gridded datasets are given in kgC/m2 for topsoil (0-30cm) and subsoil (30-100cm) at 0.5 degree by 0.5 degree spatial resolution.

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