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Articles | Volume 8, issue 2
Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-699-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-8-699-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Supplement

https://doi.org/10.5194/soil-8-699-2022-supplement

Model code and software

irpeat 0.2.0: Functions to Analyze Mid Infrared Spectra of Peat Samples Henning Teickner and Suzanne Hodgkins https://doi.org/10.5281/zenodo.7262744

Interactive computing environment

hklmirs 0.2.0: Reproducible Research Compendium for "Improving Models to Predict Holocellulose and Klason Lignin Contents for Peat Soil Organic Matter with Mid Infrared Spectra" and "Comment on Hodgkins et al. (2018): Predicting Absolute Holocellulose and Klason Lignin Contents for Peat Remains Challenging" Henning Teickner and Klaus-Holger Knorr https://doi.org/10.5281/zenodo.6325760

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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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