Preprints
https://doi.org/10.5194/bg-2023-170
https://doi.org/10.5194/bg-2023-170
11 Oct 2023
 | 11 Oct 2023
Status: this preprint was under review for the journal BG but the revision was not accepted.

Disentangling the effects of vegetation and water on the satellite observations of soil organic carbon stocks in western European topsoils

Lixin Lin, Xixi Liu, and Yuan Sun

Abstract. The performance of models based on satellite observations of soil organic carbon (SOC) stock in European soils is seriously limited by the complexity of natural land surfaces. Therefore, disentangling the SOC stock from other natural land surfaces including vegetation and water bodies has become a rather difficult but necessary task. This study proposed a novel and promising approach intended to resolve this frustrating problem. Based on a series of spectral narrowing, unchanging, and enlarging processes, 23,914,845 sets of SOC models were developed both for vegetation fuzzy disentangling and water fuzzy disentangling. The optimal model was obtained through comparison and was determined as the model that ultimately performed obviously better than the unfuzzified model. This model simulated the per-unit and total SOC stocks in western European topsoils as 99.742 t C ha−1 and 9.373 Pg, respectively. In comparison with the results of previous studies, the gaps in the simulated per-unit SOC stocks across the western European countries were considerably narrower (83.673–104.334 t C ha−1). The outstanding model performance and stable simulated per-unit values are the result of disentangling of the vegetation and water cover. This study proposed a valuable reference solution for disentangling the SOC stock from complex natural land cover.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Lixin Lin, Xixi Liu, and Yuan Sun

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2023-170', Anonymous Referee #1, 21 Nov 2023
    • CC1: 'Response to Editor Reviewers Comments-bg-2023-170', Lixin Lin, 26 Nov 2023
    • AC2: 'Reply on RC1', Lixin Lin, 22 Dec 2023
  • RC2: 'Comment on bg-2023-170', Anonymous Referee #2, 06 Dec 2023
    • AC1: 'Reply on RC2', Lixin Lin, 21 Dec 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2023-170', Anonymous Referee #1, 21 Nov 2023
    • CC1: 'Response to Editor Reviewers Comments-bg-2023-170', Lixin Lin, 26 Nov 2023
    • AC2: 'Reply on RC1', Lixin Lin, 22 Dec 2023
  • RC2: 'Comment on bg-2023-170', Anonymous Referee #2, 06 Dec 2023
    • AC1: 'Reply on RC2', Lixin Lin, 21 Dec 2023
Lixin Lin, Xixi Liu, and Yuan Sun
Lixin Lin, Xixi Liu, and Yuan Sun

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Short summary
We attempted to disentangle the covers of vegetation and water on soil organic carbon model using fuzzy disentangling. We used the model to simulate the soil organic carbon stocks in western European topsoil. The results show that the per-unit and total SOC stocks in western European topsoil as 99.742 t C ha−1 and 9.373 Pg, respectively. The gap of the results is narrower compared with previous study. The stable simulated values are the result of disentangling of the vegetation and water cover.
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