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http://dx.doi.org/10.5322/JESI.2013.22.8.979

Change Prediction for Vegetation Structure, Species Diversity and Life-form of Evergreen Broad-leaved Forest by Climate Change in Gageo-Do Island, Korea  

Lee, Sung-Je (Graduate school of Environment and Information Sciences, Yokohama National University)
Ahn, Young-Hee (Department of Plant System Science, Chung-Ang University)
Publication Information
Journal of Environmental Science International / v.22, no.8, 2013 , pp. 979-997 More about this Journal
Abstract
This study aims at classifying and interpreting on the vegetation structure, the correlation between a vegetation and an environment, a species diversity and a life-form of Evergreen Broad-Leaved Forest(EBLF) located in Gageo-do Island. It is also the objective that the estimation of vegetation change founded on the species composition and characteristics. The vegetation of EBLF was classified into three forests or four community units as Machilus thunbergii forest (Polystichum polyblepharon-M. thunbergii community and Phaenosperma globosum-M. thunbergii community), Ilex integra-Castanopsis sieboldii community, Quercus acuta community and Neolitsea sericea stand. The ordination analysis by DCA is analogous with the vegetation structure analysis. As a result of the correlation (Pearson's correlation coefficient) with environmental conditions, the Altitude has the significance with the distribution of communities. The total vegetation change by progress of succession will not be wandered away from the present vegetation structure practically, and the vegetation on the underlayers will be a little changed.
Keywords
Phytosociology; Global warming; Vegetation change; Evergreen broad-leaved forest;
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Times Cited By KSCI : 7  (Citation Analysis)
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