Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-619-2024
https://doi.org/10.5194/soil-10-619-2024
Original research article
 | 
10 Sep 2024
Original research article |  | 10 Sep 2024

An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling

Lingfei Wang, Gab Abramowitz, Ying-Ping Wang, Andy Pitman, and Raphael A. Viscarra Rossel

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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 egusphere-2023-3016', Anonymous Referee #1, 14 Mar 2024
    • AC1: 'Reply on RC1', Lingfei Wang, 10 Apr 2024
    • AC3: 'Reply on RC1', Lingfei Wang, 11 Apr 2024
  • RC2: 'Comment on egusphere-2023-3016', Anonymous Referee #2, 19 Mar 2024
    • AC2: 'Reply on RC2', Lingfei Wang, 10 Apr 2024
    • AC4: 'Reply on RC2', Lingfei Wang, 11 Apr 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Revision (06 May 2024) by Nicolas P.A. Saby
AR by Lingfei Wang on behalf of the Authors (14 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (01 Jul 2024) by Nicolas P.A. Saby
AR by Lingfei Wang on behalf of the Authors (07 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jul 2024) by Nicolas P.A. Saby
ED: Publish as is (18 Jul 2024) by Rémi Cardinael (Executive editor)
AR by Lingfei Wang on behalf of the Authors (25 Jul 2024)
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Short summary
Effective management of soil organic carbon (SOC) requires accurate knowledge of its distribution and factors influencing its dynamics. We identify the importance of variables in spatial SOC variation and estimate SOC stocks in Australia using various models. We find there are significant disparities in SOC estimates when different models are used, highlighting the need for a critical re-evaluation of land management strategies that rely on the SOC distribution derived from a single approach.