Articles | Volume 7, issue 1
SOIL, 7, 193–215, 2021
https://doi.org/10.5194/soil-7-193-2021
SOIL, 7, 193–215, 2021
https://doi.org/10.5194/soil-7-193-2021

Original research article 14 Jun 2021

Original research article | 14 Jun 2021

Quantifying soil carbon in temperate peatlands using a mid-IR soil spectral library

Anatol Helfenstein 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-2020-93', Jonathan Sanderman, 11 Feb 2021
    • AC1: 'Reply on RC1', Anatol Helfenstein, 20 Mar 2021
  • RC2: 'Comment on soil-2020-93', Anonymous Referee #2, 22 Feb 2021
    • AC2: 'Reply on RC2', Anatol Helfenstein, 20 Mar 2021
  • EC1: 'Comment on soil-2020-93', Bas van Wesemael, 22 Mar 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Revision (22 Mar 2021) by Bas van Wesemael
AR by Anatol Helfenstein on behalf of the Authors (27 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (06 May 2021) by Bas van Wesemael
ED: Publish as is (17 May 2021) by Kristof Van Oost(Executive Editor)
AR by Anatol Helfenstein on behalf of the Authors (18 May 2021)  Author's response    Manuscript
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Short summary
In this study, we show that a soil spectral library (SSL) can be used to predict soil carbon at new and very different locations. The importance of this finding is that it requires less time-consuming lab work than calibrating a new model for every local application, while still remaining similar to or more accurate than local models. Furthermore, we show that this method even works for predicting (drained) peat soils, using a SSL with mostly mineral soils containing much less soil carbon.