• Korean Journal of Environment and Ecology
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• v.7 no.2
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• pp.172-180
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• 1994

The forest of Choksangsansong area was studied to investigate vegetational structure with twenty-five plots(20m$\times$25m). Relative importance values, DBH class distribution, species, diversity indices, DCA ordination and TWINSPAN classification were used for vegetational structure analysis. Quercus mongolica, Carpinus cordata, Quercus serrata and Cornus controversa were appeared to be dominant species in each plot and dominant species in the Choksangsansong area was Quercus mongolica. The forest of Choksangsansong area was classified into four groups and showed seral stage from Quercus mongolica to Carpinus cordata. Vegetational succession in the Choksangsansong area shall be accelerated to moist and shade tolerant species due to cool and humid climatic condition by upper dam construction of the Mujuyangspalchonso (pumping up power station).

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.100-107
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• 2022

Quercus mongolica is an important deciduous tree species in the Republic of Korea; it covers most of the total natural deciduous forest area in the country. In this study, the site characteristics and stand structure of Q. mongolica forests were investigated at sites where Q. mongolica occupied >50% of the total basal area during the 7th National Forest Inventory period (2016-2020). The total number of circular sample plots (400 m²) of Q. mongolica forests was 1,421. These forests were mainly dominant at >800 m above sea level (a.s.l). However, they were also distributed on north-facing slopes at <600 m a.s.l. and gradually on southern slopes with ascending altitudes. Quercus mongolica forests were distributed in silt loam, loam, or sandy loam soils with relatively high fertility. Dominant species distributed with Q. mongolica included Pinus densiflora, Quercus variabilis, Acer pseudosieboldianum, Fraxinus rhynchophylla, and Quercus serrata. Pinus densiflora and Q. variabilis grew in large DBH classes, Q. serrata grew in middle DBH classes, and A. pseudosieboldianum and F. rhynchophylla grew in small DBH classes. The dominant species distributed at the lower layer of Q. mongolica forests were Sasa borealis, Lindera obtusiloba, Rhododendron mucronulatum, Rhododendron schlippenbachii, Q. mongolica, and Fraxinus sieboldiana.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.2
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• pp.52-61
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• 2004

This study has been carried out to classify forest vegetation in south and north slopes of Donghaksa valley for supplying basic data for conservation and restoration of the valley. With the phytosociological method, the forest of the south and north slopes of Donghaksa valley was classified as four groups; Quercus variabilis community, Quercus mongolica community, Pinus densiflora community and Carpinus laxiflora community. The dominant species were found in the order of Pinus densiflora, Quercus variabilis, Carpinus laxiflora, and Quercus mongolica. Comparing the north and south slopes, Quercus variabilis were the highest dominant species in the south and Carpinus laxiflora in the north. Pinus densiflora were the next dominant species in both south and north slopes. According to the DBH analysis result, Pinus densiflora and Quercus variabilis had density of normal distribution style among the entire community. Therefore, their dominance are expected to continue for now. But, Quercus mongolica and Carpinus laxiflora are expected to extend their influence in the future in terms of competition with Pinus densiflora. The correlation between each community and the environment according to DCCA ordination was examined in this study. The result told us that Quercus variabilis is distributed mainly on the south slope in a mid-steep and mid-altitude area. Quercus mongolica community appeared on the north slope in the steep high-altitude area that has high percentage in total nitrogen and CEC. Pinus densiflora community is distributed on both south and north slopes in a gentle slope and low-altitude area. Carpinus laxiflora is distributed on the north slope in a mid-steep and mid-altitude area.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.3
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• pp.116-128
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• 2008

Vegetation structure of Jangtaesan Natural Recreation Forest in Daejeon City was investigated to suggest a preferable management plan. Vegetation survey was carried out with thirty plots. Adopting phytosociological method, plant communities were classified into twinfolds of natural and afforested area. A natural forest were composed of Quercus mongolica, Quercus variabilis, and Pinus densiflora community. Afforested area were with Metasequoia glyptostroboides, Larix leptolepis, Pinus koraiensis, and Castanea crenata community. The importance value of Quercus mongolica, Quercus variabilis, Pinus densiflora, and Quercus serrata in natural forest were 59.69%, 48.32%, 39.10%, 21.53%, respectively. According to diameter of breast hieght analysis results, it is expected that the occupancy of Quercus mongolica, Pinus densiflora, and Quercus variabilis would be continuously increased. Based on the findings of the study, management plan for natural forest and afforested area was recommended in line with the progress of natural ecology.

• The Korean Journal of Ecology
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• v.18 no.2
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• pp.265-273
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• 1995

Net photosynthetic rate (Pn) of Quercus mongolica leaves was determined under the controlled O₃concentrations of 0, 20, 30, 40, 50 or 60 ppb at every 10 min for 7 hr. Under the fumigation of the different O₃concentrations the relative net photosynthetic rate (RNPR) of the leaves decreased rapidly until 1 hr and thereafter decreased slowly. At below 20 ppb O₃the decrease of the RNPR was scarce but at above 20 ppb O₃the RNPR was inversely proportional to O₃concentration on a logarithmic curve. The RNPR at 60 ppb O₃, for example, was reduced 30％ less than that without O₃. Under the different O₃concentrations fumigated for the short period of time the Pn dependent upon PPFD was depicted as saturation equation and Pn dependent upon temperature as quadratic equation. Results of this study suggest that short-term low O₃of less than 60 ppb concentration may lead to reductions of Pn in Q. mongolica leaves.

• Korean Journal of Plant Resources
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• v.22 no.5
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• pp.412-424
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• 2009

The flora and vegetation of Chuncheon area were investigated from March, 2006 to September, 2008. Vascular plants of investigated regions were composed of 118 families, 496 genera, 894 species, 2 subspecies, 132 varieties, and 38 forms, totally 1,066 taxa, and the Pteridophyta index (Pte-Q) was 1.17. Forty two taxa including endemic genus Hanabusaya and Echinosophora among the 1,066 taxa were Korean endemic. Thirty three rare and endangered plants and 119 specially designated plants by Ministry of Environment were also investigated. The naturalized plants were 71 taxa, and percent of naturalized plant species were 6.66%. The vegetation of Chuncheon area were classified into five communities such as Quercus mongolica community, Pinus densiflora-Quercus mongolica community, Quercus mongolica-Acer mono community, Quercus mongolica-Quercus variabilis community and Quercus mongolica-Betula davurica community.

• 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.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.85-96
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• 2023

This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.

• The Korean Journal of Ecology
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• v.26 no.5
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• pp.267-271
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• 2003

To elucidate effects of air pollutants on ecophysiological properties of two Quercus mongolica stands at different levels of air pollution, photosynthetic capacity and chloroplast pigment were measured in leaves of Q. mongolica. Photosynthetic capacity, photosynthetic pigment content and SLA (specific leaf area) of Q. mongolica leaves in polluted area were lower than those in nonpolluted area. Also, the chlorosis and mottling in some of leaves were observed in polluted area after August. Except for total carotenoid (P<0.05) the correlations between photosynthetic capacity and pigment content were not significant. Photosynthetic capacity of Q. mongolica leaves in polluted area was decreased after July.

• Journal of Forest and Environmental Science
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• v.34 no.6
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• pp.472-480
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• 2018

This study was conducted to estimate carbon storage in Quercus mongolica stands based on stand age class, and to provide basic data on the carbon balance of broad-leaved forests of Korea. The research was conducted at the experimental forest of Kangwon National University, Hongcheon-gun County, Gangwon-do Province, Korea. Three plots were set up in each of three Q. mongolica forest stands (III, V, and VII) to estimate the amount of carbon stored in Q. mongolica aboveground vegetation, coarse woody debris (CWD), organic layer, mineral soil, and litterfall. The carbon storage of the aboveground vegetation increased with an increase in stand age, while the carbon storage ratio of stems decreased. The carbon storage of the organic layer, CWD, and litterfall did not show any significant differences among age classes. In addition, the carbon concentration and storage in the forest soils decreased with depth, and there were no differences among age classes for any soil horizon. Finally, the total carbon storage in the III, V, and VII stands of Q. mongolica were 132.2, 241.1, and $374.4Mg\;C\;ha^{-1}$, respectively. In order to predict and effectively manage forest carbon dynamics in Korea, further study on deciduous forests with other tree species in different regions will be needed.