Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2367-2024
https://doi.org/10.5194/essd-16-2367-2024
Data description paper
 | 
16 May 2024
Data description paper |  | 16 May 2024

European topsoil bulk density and organic carbon stock database (0–20 cm) using machine-learning-based pedotransfer functions

Songchao Chen, Zhongxing Chen, Xianglin Zhang, Zhongkui Luo, Calogero Schillaci, Dominique Arrouays, Anne Christine Richer-de-Forges, and Zhou Shi

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-493', Asim Biswas, 13 Feb 2024
    • AC1: 'Reply on RC1', Songchao Chen, 10 Mar 2024
  • RC2: 'Comment on essd-2023-493', Jingyi Huang, 17 Feb 2024
    • AC2: 'Reply on RC2', Songchao Chen, 10 Mar 2024
  • RC3: 'Comment on essd-2023-493', Ary Bruand, 18 Feb 2024
    • AC3: 'Reply on RC3', Songchao Chen, 10 Mar 2024
  • RC4: 'Comment on essd-2023-493', Anonymous Referee #4, 19 Feb 2024
    • AC4: 'Reply on RC4', Songchao Chen, 10 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Songchao Chen on behalf of the Authors (10 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Reconsider after major revisions (11 Mar 2024) by Giulio G.R. Iovine
AR by Songchao Chen on behalf of the Authors (12 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Mar 2024) by Giulio G.R. Iovine
RR by Jingyi Huang (30 Mar 2024)
RR by Asim Biswas (01 Apr 2024)
RR by Anonymous Referee #4 (02 Apr 2024)
ED: Publish as is (03 Apr 2024) by Giulio G.R. Iovine
AR by Songchao Chen on behalf of the Authors (05 Apr 2024)
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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.
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