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


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
31 03 2023
Historique:
received: 05 10 2022
accepted: 08 03 2023
medline: 4 4 2023
entrez: 31 3 2023
pubmed: 1 4 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37002235
doi: 10.1038/s41597-023-02056-8
pii: 10.1038/s41597-023-02056-8
pmc: PMC10066358
doi:

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181

Informations de copyright

© 2023. The Author(s).

Références

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pubmed: 33996128
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pubmed: 27195106
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pubmed: 26595271

Auteurs

Alexandre M J-C Wadoux (AMJ)

Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Camperdown, Australia. alexandre.wadoux@sydney.edu.au.

Mercedes Román Dobarco (M)

Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Camperdown, Australia.

Brendan Malone (B)

CSIRO Agriculture and Food, Black Mountain, ACT, Australia.

Budiman Minasny (B)

Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Camperdown, Australia.

Alex B McBratney (AB)

Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Camperdown, Australia.

Ross Searle (R)

CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, Australia.

Classifications MeSH