• Korean Journal of Environment and Ecology
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• v.23 no.2
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• pp.135-142
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• 2009

To investigate the vegetation structure of mountain ridges ranging from Sebong to Gwaneumbong 23 plots($400m^2$) set up with random sampling method were surveyed. Two groups of Pinus densiflora community, Pinus densiflora-Quercus variabilis-Quercus serrata community were classified by cluster analysis. Pinus densiflora, Quercus variabilis, Quercus serrata, Carpinus laxiflora, and Quecus mongolica were found as a mostly dominant woody plant species in the ridge area from Sebong to Gwaneumbong. In the future, the importance percentage of Pinus densiflora might be decreased, but those of Quercus variabilis, Quercus serrata, Carpinus laxiflora, and Quecus mongolica might be increased. High positive correlations were proved between Quercus variabilis and Fraxinus sieboldiana, Acer palmatum and Ilex macropoda, Cornus kousa and Platycarya strobilacea, Sorbus alnifolia and Carpinus laxiflora, and relatively weak negative correlations were proved between Pinus densiflora and Carpinus laxiflora, Fraxinus sieboldiana and Carpinus laxiflor, Quecus mongolica and Sorbus alnifolia, Ilex macropoda and Sorbus alnifolia. Species diversity index(H') of investigated groups was ranged $0.665{\sim}1.169$.

• The Korean Journal of Ecology
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• v.18 no.1
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• pp.121-136
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• 1995

The forest vegetation on Mt. Ch’ongnyang was investigated for phytosociological analysis of the vegetation types and interspecific association. The forest was classified into seven vegetation units; A: Quercus Mongolica community, A-1: Group of Quercus variabilis, A-1-a: Subgroup of Pinus densiflora, A-1-b: Typical subgroup, A-2: Group of Aconitum trilobum, A-3: Group of Quercus dentata, B: Zelkova serrata communty. The group of Quercus variabilis was distributed on southeast- and southwest-facing slopes in 400~830 m above the sea level, and organic matter in the soil was 3.36~4.67％. The group of Aconitum trilobum was distributed on northeast- and northwest-facing slopes in 650~830 m above the sea level, and organic matter in the soil was 7.18％. The group of Quercus dentata was distributed on southwest-facing solpes in the vicinity of 810 m above the sea level, and organic matter in the soil was 9.7％. The Zelkova serrata community was distributed in the vicinity of ravines, and organic matter in the soil was 7.6％. The contents of Mg and Ca, and electric conductivity in the Zelkova serrata community were relatively high, 11.82 me/100mg, and 11.27 me/100mg, 102.2 μ mos/cm, respectively. In the results of polar ordination, environmental gradient of axis Ⅰ and axis Ⅱwere correlated with moisture, inclination and azimuth, respectively. Group of Quercus variabilis has occurred in xeric, group of Aconitum trilobum in submesic, and the Zelrova serrata community in mesic sites. In the meantime the interspecific association analysis based on chi-square yielded three species groupings with high positive affinity(p<0.01), i.e.group Ⅰ consisted of 18 species, including Acer pseudo-sieboldianum, Ansliaea acerifolia, Aconitum trilobum and group Ⅲ consisted of 19 species, in cluding Zelrova serrata, Oplismenus undulatifolius, Acer truncatum var. barbinerve, respectively.

• Journal of Life Science
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• v.19 no.3
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• pp.356-361
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• 2009

This study has targeted Quercus acutissima forests in Korea and has classified the association between Quercus acutissima forests by using the phytosociological method. In addition, the correlation between each association, distribution, potential natural vegetation, and aspect of Quercus acutissima forest according to location have been analyzed to examine the characteristics of the Korean Quercus acutissima forests. Through factor analysis of DECORANA, it was revealed that Quercetum serrato-acutissimae forms in the basal zones of mountains, Quercetum mongolico-acutissimae is formed in the highlands, in the relatively high mountain area, and Carpino-Quercetum acutissimae is mainly distributed in valleys. However, this phenomenon is not very obvious, as each association structure is often mixed up. This result is caused by inhomogeneity of the Quercus acutissima forests, and most of it is distributed in basal zones or around farmlands where there are severe disturbance factors. The proposed potential natural vegetation of the Quercus acutissima forests in Korea is as follows; Quercetum serrato-acutissimae$\rightarrow$Quercus aliena-Quercus serrata community$\rightarrow$Quercus serrata community, Quercetum mongolico-acutissimae$\rightarrow$Quercus aliena-Quercus mongolica community$\rightarrow$Quercus mongolica community, Carpino-Quercetum acutissimae$\rightarrow$Quercus aliena-Carpinus laxiflora community$\rightarrow$Carpinus laxiflora community.

• Korean Journal of Environment and Ecology
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• v.23 no.2
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• pp.143-150
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• 2009

To investigate the vegetation structure of the mountain ridges ranging of Shins un-Bong, this research set up 14 plots($400m^2$) as survey target areas. As a result of the analysis of woody plant cluster, it was classified as two groups-Quercus variabilis-Quercus serrata community and Carpinus tschonoskii community. Quercus variabilis and Quercus serrata was found as a mostly dominant woody plant species in the ridge areas of Shinsun-Bong, while Carpinus tschonoskii were mixed up partly in high altitudes. High negative correlations were shown between Quercus variabilis-Sambucus sieboldiana and relatively high positive correlation were found to exist between Styrax japonicus-Quercus serrata, Sambucus sieboldiana-Rhododendron schlippenbachii, Tilia amurensis, Styrax obassia-Cornus kousa, Rhododendron schlippenbachii-Carpinus laxiflora, Cornus kousa-Tilia amurensis. Species diversity index(H') of investigated groups were ranged from $1.237{\sim}1.497$, and it was relatively high value compared to that of the vegetation structure of other national park.

• The Korean Journal of Ecology
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• v.15 no.4
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• pp.365-375
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• 1992

The environmental gradient analyses were applied for the distribution patterns of species populations in mt. moak provincial park in korea. The species populations were sequentially ordered along the environmental gradients such as soil moisture, soil ph, soil organic matter content and elevation and were grouped into seven ecological groups by the two-dimensional analyses of temperature-moisture gradient : zelkova serrata group on mesic-lower parts near the streames and well drained stony slopes, carpinus tschonoskii group on mesic-middle parts, quercus acutissima group on lower parts destroyed by human activities, quercus variabilis group on xeric-middle parts, quercus serrata group on xeric-upper middle parts, quercus mongolica group on xeric-upper parts and pinus densiflora group on xeric-rock ridge lines, hillocks and lower parts interfered by human. Four forest vegetation types, zelkova forest dominated by the c. tschonoskii group on mesic-middle parts, oak forest dominated by the groups of q. acutissima, q. variabilis, q. serrata and q. mongolica on xeric sites and pine forest dominated by the p. densiflora group on dry and poor sites, were separated in mosaic chart by the two-dimensional analysis.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.1
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• pp.55-63
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• 2006

This study was carried out to analyze community character and classify forest community with phytosociological method and quadrat method to forest of Mt. Busosan in Buyeo-Gun.1. Communities by phytosociological method were classified into Pinus densiflora community and Quercus sp. community. With the classification of TWINSPAN, the community was categorized into Pinus densiflora - Quercus variabilis community and Pinus densiflora - Styrax japonica community.2. The importance value of Pinus densiflora, Quercus acutissima, Prunus sargentii, Styrax japonica, Quercus serrata, Quercus variabilis, Pinus rigida, Quercus aliena in tree layer were 83.20, 41.87, 30.93, 24.85, 23.27, 20.97, 20.28, and 9.46, respectively. The relative coverage of Stephanandra incisa, Quercus serrata, Styrax japonica, Parthenocissua tricuspidata, Rhododendron mucronulatum, Lindera obtusiloba, Prunus sargentii, Quercus variabilis, Indigofera kirilowii, Quercus acutissima, Lespedeza maximowiczii, and Acer pseudosibolianum in shrub layer were 9.62%, 9.55%, 9.18%, 7.85%, 6.18%, 5.25%, 4.82%, 4.15%, 3.98%, 3.98%, 3.55%, and 2.98%, respectively.3. According to size distribution map of diameter breast height of dominant species, the dominant species of Mt. Busosan was Pinus densiflora, and Quercus sp. such as Quercus acutissima, Quercus variabilis, and Quercus serrata may compete with the Pinus densiflora in the future.4. According to the ordination analysis of Mt. Busosan forest, Pinus densiflora - Styrax japonica community was found in moist site and Pinus densiflora - Quercus variabilis community was found in dry site.

• Journal of the Korean Society of Safety
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• v.26 no.4
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• pp.111-119
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• 2011

This study was designed to provide basic data applicable to fire investigation through consideration of combustion products and propose vulnerability of combustibles through analysis of $CO_2$ emission. In order to achieve these research objectives, characteristics of combustion products such as smoke release rate of each part(raw leaves, branches and barks), $CO_2$ emission and ash production were considered targeting on 6 oak species(Quercus variabilis Blume, Quercus aliena Blume, Quercus serrata, Quercus mongolica Fisch, Quercus dentata Sapling and Quercus acutissima) using cone calorimeter and smoke density tester. As a result, it was found that raw leaves release smoke more relatively than branches and barks, when they burn, and that Quercus variabilis Blume has the highest smoke density. Also, Quercus acutissima released CO and $CO_2$ which are respectively, 6.67 times and 1.43 times more than Quercus variabilis Blume with low $CO_2$ emission. In addition, branches released CO and $CO_2$ more relatively. There was a big difference in ash production among raw leaves(3.1 g), branches(10.5 g) and barks(16.43 g). It was identified that Quercus serrata produces ashes which are nearly 9.95 times more than Quercus variabilis Blume. It demonstrates that Quercus serrata contains relatively higher minerals and that Quercus variabilis Blume can leave lots of traces like stain and carbonization, as it releases smoke a lot and it's difficult to predict visibility, when a forest fire breaks out in its community area. It is also considered that smoke particles containing oil in the air leave strain on the surface of a tree, and that CO and $CO_2$ emission increases, when crown fire to burn branches breaks out.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.4
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• pp.60-66
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• 2006

With the species composition table, the forest community of Mt. Yeonginsan were classified into Quercus mongolica community, Pinus densiflora community, and Quercus acutissima community. The importance value of the study community was 73.55, 36.28, 29.87, 25.07, 24.88, and 21.25 in Quercus mongolica, Quercus serrata, Pinus densiflora, Pinus rigida, Larix leptolepis, and Quercus acutissima, respectively. According to breast diameter analysis, the importance value of Quercus mongolica, Quercus acutissima and Quercus serrata continuously increase.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.3
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• pp.35-51
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• 2014

A phytosociological vegetation survey was conducted in July to September 2011 in order to examine the vegetation community structure in Mt. Ohseo area. It was aimed to provide basic data for the effective vegetation conservation by analyzing the importance, species diversity and community similarity of the forest community in Mt. Ohseo for each layer, followed by the classification of the actual forest vegetation. According to the cluster analysis, the community type of Mt. Ohseo was classified into a total of 4 vegetation communities: Pinus densiflora community, Cornus controversa-Quercus serrata community, Miscanthus sinensis community, and Quercus mongolica community; the vegetation type 4 showed the lowest species diversity index of 0.5236, and vegetation type-2 showed the highest species diversity index of 0.6606. The community similarity between Quercus mongolica community and Pinus densiflora community showed the highest 0.679, and the community similarity between Quercus serrata community and Pinus densiflora community and between Quercus serrata community and Quercus mongolica community showed the levels of 0.5, respectively.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.357-366
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• 2015

This study was conducted to estimate carbon stocks of Quercus serrata with drawing volume of trees in each tree height and DBH applying the suitable stem taper equation and tree specific carbon emission factors, using collected growth data from all over the country. Information on distribution area, tree number per hectare, tree volume and volume stocks were obtained from the $5^{th}$ National Forest Inventory (2006~2010), and method provided in IPCC GPG was applied to estimate carbon storage and removals. Performance in predicting stem diameter at a specific point along a stem in Quercus serrata by applying Kozak's model,$d=a_1DBH^{a_2}a_3^{DBH}X^{b_1Z^2+b_2ln(Z+0.001)+b_3{\sqrt{Z}}+b_4e^Z+b_5({\frac{DBH}{H}})}$, which is well known equation in stem taper estimation, was evaluated with validations statistics, Fitness Index, Bias and Standard Error of Bias. Consequently, Kozak's model turned out to be suitable in all validations statistics. Stem volume tables of Quercus serrata were derived by applying Kozak's model and carbon stock tables in each tree height and DBH were developed with country-specific carbon emission factors ($WD=0.65t/m^3$, BEF=1.55, R=0.43) of Quercus serrata. As a result of carbon stock analysis by age class in Quercus serrata, carbon stocks of IV age class (11,358 ha, 36.5%) and V age class (10,432; 33.5%) which take up the largest area in distribution of age class were 957,000 tC and 1,312,000 tC. Total carbon stocks of Quercus serrata were 3,191,000 tC which is 3% compared with total percentage of broad-leaved forest and carbon sequestration per hectare(ha) was 3.8 tC/ha/yr, $13.9tCO_2/ha/yr$, respectively.