Articles | Volume 8, issue 1
SOIL, 8, 113–131, 2022
https://doi.org/10.5194/soil-8-113-2022
SOIL, 8, 113–131, 2022
https://doi.org/10.5194/soil-8-113-2022

Original research article 24 Feb 2022

Original research article | 24 Feb 2022

Content of soil organic carbon and labile fractions depend on local combinations of mineral-phase characteristics

Malte Ortner et al.

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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 soil-2021-81', Anonymous Referee #1, 06 Oct 2021
    • AC1: 'Reply on RC1', Malte Ortner, 05 Nov 2021
  • RC2: 'Comment on soil-2021-81', Anonymous Referee #2, 08 Oct 2021
    • AC2: 'Reply on RC2', Malte Ortner, 05 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (08 Nov 2021) by Boris Jansen
AR by Malte Ortner on behalf of the Authors (19 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (03 Dec 2021) by Boris Jansen
RR by Anonymous Referee #1 (06 Dec 2021)
ED: Reconsider after major revisions (06 Dec 2021) by Boris Jansen
AR by Malte Ortner on behalf of the Authors (15 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (24 Dec 2021) by Boris Jansen
RR by Anonymous Referee #1 (05 Jan 2022)
ED: Publish as is (10 Jan 2022) by Boris Jansen
ED: Publish as is (12 Jan 2022) by Jeanette Whitaker(Executive Editor)
AR by Malte Ortner on behalf of the Authors (14 Jan 2022)  Author's response    Manuscript
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Short summary
Soil organic carbon (SOC) and its labile fractions are influenced by soil use and mineral properties. These parameters interact with each other and affect SOC differently depending on local conditions. To investigate the latter, the dependence of SOC content on parameters that vary on a local scale depending on parent material, soil texture, and land use as well as parameter combinations was statistically assessed. Relevance and superiority of local models compared to total models were shown.