Scientific Data (Mar 2023)

Baseline high-resolution maps of organic carbon content in Australian soils

  • Alexandre M. J-C. Wadoux,
  • Mercedes Román Dobarco,
  • Brendan Malone,
  • Budiman Minasny,
  • Alex B. McBratney,
  • Ross Searle

DOI
https://doi.org/10.1038/s41597-023-02056-8
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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Abstract We introduce a new dataset of high-resolution gridded total soil organic carbon content data produced at 30 m × 30 m and 90 m × 90 m resolutions across Australia. For each product resolution, the dataset consists of six maps of soil organic carbon content along with an estimate of the uncertainty represented by the 90% prediction interval. Soil organic carbon maps were produced up to a depth of 200 cm, for six intervals: 0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm and 100–200 cm. The maps were obtained through interpolation of 90,025 depth-harmonized organic carbon measurements using quantile regression forest and a large set of environmental covariates. Validation with 10-fold cross-validation showed that all six maps had relatively small errors and that prediction uncertainty was adequately estimated. The soil carbon maps provide a new baseline from which change in future carbon stocks can be monitored and the influence of climate change, land management, and greenhouse gas offset can be assessed.