Predicting soil water repellency using hydrophobic organic compounds and their vegetation origin

Mao, J.; Nierop, K. G. J.; Rietkerk, M.; Dekker, S. C.

doi:https://doi.org/10.5194/soil-1-411-2015

Articles | Volume 1, issue 1

https://doi.org/10.5194/soil-1-411-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/soil-1-411-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 1, issue 1

Original research article

|

09 Jun 2015

Original research article |

| 09 Jun 2015

Predicting soil water repellency using hydrophobic organic compounds and their vegetation origin

J. Mao, K. G. J. Nierop, M. Rietkerk, and S. C. Dekker

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Final revised paper (published on 09 Jun 2015)
Preprint (discussion started on 24 Feb 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C62: 'RC - Predicting soil water repellency by hydrophobic organic compounds and their vegetation origin J. Mao, K.G.J. Nierop, M. Rietkerk, and S.C. Dekker', Esther de Blas, 26 Mar 2015
- AC C151: 'Reply to Dr Esther de Blas comments', Jiefei Mao, 12 May 2015
RC C64: 'General Comments', Anonymous Referee #2, 28 Mar 2015
- AC C152: 'Reply to Anonymous Referee2 comments', Jiefei Mao, 12 May 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after minor revisions (review by Editor) (26 May 2015) by Stefan Doerr

AR by Jiefei Mao on behalf of the Authors (27 May 2015) Author's response Manuscript

ED: Publish as is (28 May 2015) by Stefan Doerr

ED: Publish as is (31 May 2015) by Lily Pereg (deceased) (Executive editor)

AR by Jiefei Mao on behalf of the Authors (31 May 2015)

Short summary

In this study we show how soil water repellency (SWR) is linked to the quantity and quality of SWR markers in soils mainly derived from vegetation. To predict the SWR of topsoils, we find the strongest relationship with ester-bound alcohols, and for subsoils with root-derived ω-hydroxy fatty acids and α,ω-dicarboxylic acids. From this we conclude that, overall, roots influence SWR more strongly than leaves and subsequently SWR markers derived from roots predict SWR better.