오서산 산림식생의 상관우점종, 종조성 및 종간연관에 의한 군집유형 분류 = Classification of Community Type by Physiognomy Dominant Species, Floristic Composition and Interspecific Association of Forest Vegetation in Mt. Oseosan

다국어 초록 (Multilingual Abstract)

The result of forest vegetation classification could be quite different and dependant on analysis methods. The purpose of this study was to compare the analyzed results for three kinds of methods (physiognomy dominant species, floristic composition and interspecific association) related to vegetation classification. Vegetation data were collected by the 80 quadrates in Mt. Oseo, Chungcheongnam-do from September to October in 2016. We carried out community type classification using above three methods. As a result, the vegetation according to physiognomy dominant species was classified into ten communities such as Pinus densiflora community, Quercus mongolica community, Zelkova serrata community, Quercus acutissima community, Cornus controversa community, Quercus serrata community, Larix kaempferi community, Pinus rigida community, Castanea crenata community and Liriodendron tulipifera community. The vegetation according to floristic composition was classified into 4 vegetation units. It was totally represented by Lindera erythrocarpa community group. And L. erythrocarpa community group was classified into the Rhododendron mucronulatum community (subdivided R. mucronulatum typical group and Styrax obassia group) and Zelkova serrata community (subdivided Larix kaempferi group and Pseudostellaria palibiniana group). As a result of interspecific association, forest vegetation was divided into two groups. And it was considered that the vegetation type by floristic composition and interspecific association significant could be affected by topography. There were lots of vegetation groups or units in the order like 10 types of communities by the physiognomy dominant species, 8 species group and 4 vegetation types by the floristic composition, and 2 types by the interspecific association. In conclusion, vegetation classification methods elicited diverse vegetation groups or units with lots of correlations of environmental factors.

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