Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2367-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2367-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 May 2024
Data description paper |
| 16 May 2024
| 16 May 2024
European topsoil bulk density and organic carbon stock database (0–20 cm) using machine-learning-based pedotransfer functions
Songchao Chen
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Zhongxing Chen
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Xianglin Zhang
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
UMR ECOSYS, AgroParisTech, INRAE, Universiteé Paris-Saclay, Palaiseau 91120, France
Zhongkui Luo
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
Calogero Schillaci
European Commission, Joint Research Centre, Ispra, 21026, Italy
Dominique Arrouays
INRAE, Info&Sols, Orléans 45075, France
Anne Christine Richer-de-Forges
INRAE, Info&Sols, Orléans 45075, France
Zhou Shi
CORRESPONDING AUTHOR
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
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Short summary
A new dataset for topsoil bulk density (BD) and soil organic carbon (SOC) stock (0–20 cm) across Europe using machine learning was generated. The proposed approach performed better in BD prediction and slightly better in SOC stock prediction than earlier-published PTFs. The outcomes present a meaningful advancement in enhancing the accuracy of BD, and the resultant topsoil BD and SOC stock datasets across Europe enable more precise soil hydrological and biological modeling.
A new dataset for topsoil bulk density (BD) and soil organic carbon (SOC) stock (0–20 cm) across...
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