TAILIEUCHUNG - Báo cáo lâm nghiệp: "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"

Tuyển tập những bài báo cáo nghiên cứu khoa học hay nhất được đăng trên tạp chí JOURNAL OF FOREST SCIENCE đề tài: 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. | JOURNAL OF FOREST SCIENCE 53 2007 3 101-112 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 P. Samec1 D. Vavricek2 P. Simková2 J. Pnacek3 1Forest Management Institute Brandýs nad Labem Frýdek-Místek Branch Frýdek-Místek Czech Republic Faculty of Forestry and Wood Technology Mendel University of Agriculture and Forestry Brno Brno Czech Republic 3Forests of the Czech Republic State Enterprise Jeseník Forest District Jeseník Czech Republic ABSTRACT The soil is an irreplaceable component of forest ecosystems. Soil-forming processes directly influence element cycling EC . Plant-soil interaction is a specific part of EC. 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 . C 1 200 mm of the Hrubý Jesenik Mts. Czech Republic Central Europe where Norway spruce Picea abies L. Karst. is the main edificator and 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 for definition of 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. Cluster analysis calculated results comparable with the multivariate analysis of variance. The results show that the continuity of linear and multivariate statistical methods gives the approach to detection of the forest stage based on soil and plant tissue data. Keywords Norway spruce Picea abies L. Karst. humification nutrition cation exchange capacity CEC .

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