Organic matter in aqueous soil extracts: Prediction of compositional attributes from bulk soil mid-IR spectra using partial least square regressions

Organic matter in aqueous soil extracts: Prediction of compositional attributes from bulk soil mid-IR spectra using partial least square regressions

Water-extractable organic matter (WEOM) is labile and a key component of soil organic matter. Thus, the prediction of soil WEOM concentration and composition-related characteristics is of great interest. The main objective of this study was to model and predict dissolved organic C (DOC) concentratio...

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Bibliographic Details
Main Authors:	Alla Nasonova, Guy J. Levy, Oshri Rinot, Gil Eshel, Mikhail Borisover
Format:	Article
Language:	English
Published:	Elsevier 2022-04-01
Series:	Geoderma
Subjects:	Dissolved organic matter Infrared Partial least square Chemometrics Fluorescent matter chromophoric DOM
Online Access:	http://www.sciencedirect.com/science/article/pii/S0016706121007588

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