Multivariate statistical approach to comparison of the nutrient status of Norway spruce (Picea abies [L.] Karst.) and top-soil properties in differently managed forest stands
2007
Samec, P.,Ustav pro Hospodarskou Upravu Lesu, Frydek-Mistek (Czech Republic) | Vavricek, D.,Mendelova Zemedelska a Lesnicka Univ., Brno (Czech Republic). Lesnicka a Drevarska Fakulta | Simkova, P.,Mendelova Zemedelska a Lesnicka Univ., Brno (Czech Republic). Lesnicka a Drevarska Fakulta | Pnacek, J.,Lesy Ceske Republiky, Jesenik (Czech Republic). Lesni Sprava Jesenik
Plant-soil interactions were observed on an example of natural spruce stand (NSS), semi-natural spruce stand (SNSS) and allochthonous spruce stand (ASS) in conditions of the spruce forest altitudinal zone (1,140-1,260 m a.s.l.; +3.0 deg C; 1,200 mm) of the Hruby Jesenik Mts. (Czech Republic), where Norway spruce is the main stand-forming tree species. We evaluated the soil properties of H- and Ep-horizons at selected sites with Haplic and Skeletic Podzols and they were compared with the nutrient status of spruce. A method of the principal component analysis was used to define the basic hypotheses: (1) each forest stand is in specific and topically individual interactions with soil and these interactions influence its state, (2) the influence of forest management reflects in humification and in the nutrient status in plant assimilatory tissues. The results of the cluster analysis were comparable with those of the multivariate analysis of variance. The use of multivariate statistical methods, completing linear correlation methods, may bring more accurate results of soil chemicophysical properties and spruce needles composition.
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