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
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
181Informations de copyright
© 2023. The Author(s).
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