Monika Mętrak, Ingeborga Jarzyna, Małgorzata Suska-Malawska
Proceedings of the 14th International Peat Congress
geochemistry, multidimensional-analyses, peat
Metrak et al 2012: Application of Multidimentional Statistical Methods in Analyses of Peat Geochemical Features
Theme IV. Chemical, physical and biological characteristics of peat
Multidimensional statistical methods provide the best way to analyse and understand complex matrixes of data. Especially, when studied variables are interrelated and cannot be interpreted separately as in case of peat geochemical features. Mulitdimensional analyses showed that pH values of examined peats were more strongly related to water regime than to biomass compositon. For decomposition degree there was an opposite relation. pH value was a main factor influencing total lipid content. Decomposition degree shaped the amounts of humic substances in peats. Organic matter content was under strong influence of both pH value and decomposition degree.