Articles | Volume 1, issue 1
https://doi.org/10.5194/soil-1-411-2015
https://doi.org/10.5194/soil-1-411-2015
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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Cited articles

Atanassova, I. and Doerr, S.: Organic compounds of different extractability in total solvent extracts from soils of contrasting water repellency, Eur. J. Soil Sci., 61, 298–313, https://doi.org/10.1111/j.1365-2389.2009.01224.x, 2010.
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Buczko, U., Bens, O., and Hüttl, R. F.: Variability of soil water repellency in sandy forest soils with different stand structure under Scots pine (Pinus sylvestris) and beech (Fagus sylvatica), Geoderma, 126, 317–336, https://doi.org/10.1016/j.geoderma.2004.10.003, 2005.
Bull, I. D., Van Bergen, P. F., Nott, C. J., Poulton, P. R., and Evershed, R. P.: Organic geochemical studies of soils from the Rothamsted Classical Experiments – V. The fate of lipids in different long-term soil experiments, Org. Geochem., 31, 389–408, https://doi.org/10.1016/S0146-6380(00)00008-5, 2000a.
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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.