| 摘 要： | The principal properties,here called the p-scales,of peat have been calculated on the basis of chemicalanalysis.The scales were derived from quantitative contents of carbohydrates,Klason lignin,aminoacids,amino sugars and conventional chemical peat measurements.The variation in the chemicalparameters was compressed using principal component analysis(PCA).Partial least squares(PLS)regression was used for prediction of botanical,microbial,physical and dewatering data.A rapidestimation of the scales has been made from near-infrared(NIR)spectroscopy and offers,indirectly,rapidly obtainable,chemically interpretable,biological information.A reduced scale based oncarbohydrate data was also tested.The p-scales offer an interface between different areas of peatresearch.Strategies are outlined for the selection of a subset of chemical measurements among thevariables used for characterization.A multivariate strategy based on these ideas is discussed.
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