• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.5
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• pp.51-57
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• 2007

In order to study the characteristics of vegetation structure in Gundal mountain, we investigated forest community using belt transect method at 30 sites in Gundal mountain. As the result of important value' calculation on over DBH 2cm, Pinus densiflora (56.8), Quercus mongolica (48.5), Pinus rigida(41.4), Castanea crenata (22.3), Quercus variabilis (22.3), Carpinus laxiflora (16.9), Quercus aliena (11.3), Sorbus alnifolia (8.6), and Quercus acutissima (8.5) were in the order of important value. According to the ordination analysis of Gundal mountain forest, Quercus mongolica was found in north face and high of mountain. Carpinus laxiflora was found in north face steep slope and middle of mountain. As DBH analysis, the study community will be dominated by Quercus species. The correlation between the forest community and environment factor could be thought as distinction by soil nutrition etc., but we need more study about environment factors.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.2
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• pp.83-93
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• 2003

This study was conducted for an understanding of a threatened plant species,“Penthorum chinense”, which is a vegetation structure and environmental characteristic in the southern part of Ibaraki, Japan. We selected distribution and contiguity area where P. chinense is not distributed and we set up 69 sites by the quardrat method. The surveyed general characters in each site include mean-height, mean-coverage, moisture condition water depth coverage and depth of litter layer. We calculated the degree of succession by the survey data and grasped the main distribution area, vegetation structure, growth environment of P. chinense by TWINSPAN classification and DCA ordination. The results of this study are as follows. First, P. chinense habitat was categorized into the riverside and abandoned paddy fields. The riverside was influenced by natural disturbance caused by flooding and drought. These conditions led to a poor P. chinense growth. The abandoned paddy fields as the artificial disturbance area have high potential value, because the area can preserve P. chinense growth space by succession control and water management. second, we executed TWINSPAN analysis based on vegetation coverage data of survey sites. The vegetation types were classified into the three categories: annual plant flora(P. chinense dominates in wet state), perennial plant flora(Solidago altissima dominates in dry state), and perennial plant flora(Phragmites communis dominates in wet state). Third, the data was ordinated by DCA. The sample sequences along the first and second DCA axes effectively reflected moisture condition, number of species, mean height, coverage of litter layer and degree of succession. Especially, P. chinense flora has the high correlation with moisture condition and number of species.