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Do DOM optical parameters improve the prediction of copper availability in vineyard soils?

Abstract : Accumulation of copper (Cu) in soils due to the application of fungicides may be toxic for organisms and hence affect winegrowing sustainability. Soil parameters such as pH and dissolved organic matter (DOM) are known to affect the availability of Cu. In this study, we investigated the contribution of chromophoric and fluorescent DOM properties to the prediction of Cu availability in 18 organic vineyard soils in the Bordeaux winegrowing area (France). The DOM parameters, assessed through absorbance and fluorescence analyses, and proxies for Cu availability (total soluble Cu and free ionic Cu2+) were measured in 0.01 M KCl extracts. Total soluble Cu (CuKCl) varied 23-fold while free ionic Cu2+ varied by a factor of 4600 among the soils. DOC concentrations were similar among the soils, but the samples differed in the quality of DOM as assessed by optical spectroscopy. Multilinear regression models with and without DOM quality parameters were investigated to predict Cu availability. The best model for CuKCl successfully explained 83% of variance and included pH, CuT, and two DOM fluorescence quality indices, the FI fluorescence index, which distinguishes between microbial and higher plant origins, and the HIX humification index. For the prediction of Cu2+, pH alone explained 88% of variance and adding DOM parameters did not improve modelling. The two Cu availability proxies were related to pH. This study confirms the prominent role of pH in Cu availability and underlines the importance of DOM quality to better predict Cu solubility.
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https://hal.inrae.fr/hal-03342114
Contributor : Noémie Janot <>
Submitted on : Monday, September 13, 2021 - 10:52:59 AM
Last modification on : Tuesday, September 14, 2021 - 3:41:38 AM

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Frédéric Ouédraogo, Jean-Yves Cornu, Noémie Janot, Christophe Nguyen, Mahaut Sourzac, et al.. Do DOM optical parameters improve the prediction of copper availability in vineyard soils?. Environmental Science and Pollution Research, Springer Verlag, 2021, ⟨10.1007/s11356-021-16361-5⟩. ⟨hal-03342114⟩

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