Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-699-2022
https://doi.org/10.5194/soil-8-699-2022
Original research article
 | 
17 Nov 2022
Original research article |  | 17 Nov 2022

Improving models to predict holocellulose and Klason lignin contents for peat soil organic matter with mid-infrared spectra

Henning Teickner and Klaus-Holger Knorr

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Cited articles

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Ågren, G. I., Bosatta, E., and Agren, G. I.: Quality: A Bridge between Theory and Experiment in Soil Organic Matter Studies, Oikos, 76, 522–528, https://doi.org/10.2307/3546345, 1996. a
Artz, R. R., Chapman, S. J., Jean Robertson, A., Potts, J. M., Laggoun-Défarge, F., Gogo, S., Comont, L., Disnar, J.-R., and Francez, A.-J.: FTIR Spectroscopy Can Be Used as a Screening Tool for Organic Matter Quality in Regenerating Cutover Peatlands, Soil Biol. Biochem., 40, 515–527, https://doi.org/10.1016/j.soilbio.2007.09.019, 2008. a
Bauer, I. E.: Modelling Effects of Litter Quality and Environment on Peat Accumulation over Different Time-Scales: Peat Accumulation over Different Time-Scales, J. Ecol., 92, 661–674, https://doi.org/10.1111/j.0022-0477.2004.00905.x, 2004. a
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Short summary
The chemical quality of biomass can be described with holocellulose (relatively easily decomposable by microorganisms) and Klason lignin (relatively recalcitrant) contents. Measuring both is laborious. In a recent study, models have been proposed which can predict both quicker from mid-infrared spectra. However, it has not been analyzed if these models make correct predictions for biomass in soils and how to improve them. We provide such a validation and a strategy for their improvement.
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