Articles | Volume 8, issue 2
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

Aerts, R., Verhoeven, J. T. A., and Whigham, D. F.: Plant-Mediated Controls on Nutrient Cycling in Temperate Fens and Bogs, Ecology, 80, 2170–2181,[2170:PMCONC]2.0.CO;2, 1999. a, b, c
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,, 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,, 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,, 2004. a
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.