• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.760-762
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• 2003

This study confirmed the usefulness of short-wavelength infrared (SWIR) in the discrimination and classification of evergreen forest types. A forested area near Hisayama and Sasaguri in Fukuoka Prefecture, Japan, served as the study area. Warm-temperate forest vegetation dominates the study site vegetation. Coniferous plantation forest, natural broad-leaved forest, and bamboo forest were analyzed using LANDSAT5/TM and SPOT4/HRVIR remote sensing data. Samples were extracted for the three forest types, and reflectance factors were compared for each band. Kappa coefficients of various band combinations were also compared by classification accuracy. For the LANDSAT5/TM data observed in April, October, and November, Bands 5 and 7 showed significant differences between bamboo, broad-leaved, and coniferous forests. The same significant difference was not recognized in the visible or near-infrared regions. Classification accuracy, determined by supervised classification, indicated distinct improvements in band combinations with SWIR, as compared to those without SWIR. Similar results were found for both LANDSAT5/TM and SPOT4/HRVIR data. This study identified obvious advantages in using SWIR data in forest-type discrimination and classification.

• Korean Journal of Environment and Ecology
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• v.25 no.4
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• pp.590-600
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• 2011

The research was carried out for prediction of the potential habitats of warm-temperate evergreen broad-leaved trees under the current climate(1961~1990) and three climate change scenario(2081~2100) (CCCMA-A2, CSIRO-A2 and HADCM3-A2) using classification tree(CT) model. Presence/absence records of warm-temperate evergreen broad-leaved trees were extracted from actual distribution data as response variables, and four climatic variables (warmth index, WI; minimum temperature of the coldest month, TMC; summer precipitation, PRS; and winter precipitation, PRW) were used as predictor variables. Potential habitats(PH) was predicted 28,230$km^2$ under the current climate and 77,140~89,285$km^2$ under the three climate change scenarios. The PH masked by land use(PHLU) was predicted 8,274$km^2$ and the proportion of PHLU within PH was 29.3% under the current climate. The PH masked by land use(PHLU) was predicted 35,177~45,170$km^2$ and increased 26.9~36.9% under the three climate change scenarios. The expansion of warm-temperate evergreen broad-leaved trees by climate change progressed habitat fragmentation by restriction of land use. The habitats increase of warm-temperate evergreen broad-leaved trees had been expected competitive with warm-temperate deciduous broadleaf forest and suggested the expand and northward shift of warm-temperate evergreen broad-leaved forest zone.

• Korean Journal of Environment and Ecology
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• v.10 no.1
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• pp.87-102
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• 1996

To study vegetational structure of the Korean warm temperate region fifty two plots were surveyed in evergreen broad-leaved forests of southern islands. The vegetational structures among sites were dissimilar in virtue of geographical isolation and artificial disturbance. The surveyed plots were generally classified into three groups; the first, the group in which plant succession has proceeded naturally, the second, the group which was disturbed and managed for a long time, the third, the group which was afforested and has been succeeded into evergreen broad-leaved forest. The species with constancy over 80% in fifty two plots were Machilus thunbergii, Eurya japonica, Trachelospermum asiaticum var. intermidium, Cinnamomum japonicum, and Ligustrum japonicum. The community of Lozoste lancifolia, which is assumed to be a climax community of the Korean warm temperate region, remains in Chudo and Aedo. The secondary succession of seashore forest which were disturbed in the past will be done into Castanopsis cuspidata var. sieboldii

• Journal of Environmental Science International
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• v.31 no.2
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• pp.181-193
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• 2022

The study was conducted to provide basic data for stable forest management according to climate change by identifying the ecological characteristics of Mt. Dalma warm temperate forest. 30 survey plots were established for vegetation structure analysis, and communities which classified by applying TWINSPAN analysis and DCA analysis techniques. Four plant communities were subdivided into Quercus acuta-Eurya japonica community, Quercus acuta community, Quercus salicina-Camellia japonica community, and Quercus acuta-Camellia japonica community. The tree layers were dominated by Quercus acuta and Quercus salicina, and the subtree layers were dominated by Camellia japonica and Eurya japonica, and the Sasa borealis. The species diversity index were in the range of 0.849 to 0.969, and the degree of Evenness index were 0.514 to 0.569, and the similarity index were 59.57 to 75.47%. The species composition in the community indicated that the deciduous broad-leaved and coniferous trees have already been eliminated in competition with evergreen broad-leaved trees. Tree species with good cold resistance such as Quercus acuta and Quercus salicina were dominant species under current climatic conditions, but the dominant species might be changed to more shade-tolerance evergreen broad-leaved through the succession.

• Journal of Environmental Science International
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• v.21 no.2
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• pp.135-144
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• 2012

This study aims at classifying and analyzing the vegetation structure of Castanopsis sieboldii forest, one of the evergreen broad-leaved forests found under the warm-temperate climate of Korea. It is also compared with the ones of the Castanopsis sieboldii forest in Japan where most similar such forest of Korea, to find unique vegetation structures of the only Korean forest. Vegetation structure of Korean Castanopsis sieboldii forest was divided into two units at the level of community units both of Ardisia japonica-Castanopsis sieboldii community and Ardisio-Castanopsietum sieboldii association. The association carries similar type with the vegetation system of Japan, but any subunits differentiated with the Japan were found vary much. Hierarchical cluster analysis brings in similar result with the analysis on the vegetation structure as well.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.528-536
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• 2014

The aim of this study was to investigate the damage characteristics induced by winter freezing of evergreen broad-leaved trees distributed in urban area of warm temperate forest zone, which are gaining increased interest recently as climate change. The results of the study indicated that, as for 'stem injury', Camellia japonica Linne (59.6%) had the weakest damage, while Ternstroemia gymnanthera Sprague (83.3%) had the most severe damage. By the visual evaluation of freezing injury according to the characteristics of plantations environment, the observations of single planting (p<0.01) in planting method had weaker damage than those of group planting, the observations of under tree (p<0.001), plain (p<0.001), and organic matter plenty (p<0.05) in plantations characteristics had significant differences with relatively weaker damage than the observations of open space, slop, and scarcity, respectively. Tree height (-0.432) and crown width (-0.470) among growth factors were negatively correlated with the severity of damage, respectively. Therefore, the selection of tree species is vital for the successful creation of these urban forested area by making considerations of planting environment, and further research on evergreen broad-leaved trees is needed in this aspect.

• Journal of Environmental Impact Assessment
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• v.19 no.2
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• pp.117-125
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• 2010

Korea's researchers have recently studied the prediction of forest change, but they have not considered landuse/cover change compared to distribution of forest vegetation. The purpose of our study is to predict forest vegetation based on landuse/cover change on the Korean Peninsula in the 2090's. The methods of this study were Multi-layer perceptrom neural network for Landuse/cover (water, urban, barren, wetland, grass, forest, agriculture) change and Multinomial Logit Model for distribution prediction for forest vegetation (Pinus densiflora, Quercus Spp., Alpine Plants, Evergreen Broad-Leaved Plants). The classification accuracy of landuse/cover change on the Korean Peninsula was 71.3%. Urban areas expanded with large cities as the central, but forest and agriculture area contracted by 6%. The distribution model of forest vegetation has 63.6% prediction accuracy. Pinus densiflora and evergreen broad-leaved plants increased but Quercus Spp. and alpine plants decreased from the model. Finally, the results of forest vegetation based on landuse/cover change increased Pinus densiflora to 38.9% and evergreen broad-leaved plants to 70% when it is compared to the current climate. But Quercus Spp. decreased 10.2% and alpine plants disappeared almost completely for most of the Korean Peninsula. These results were difficult to make a distinction between the increase of Pinus densiflora and the decrease of Quercus Spp. because of they both inhabit a similar environment on the Korean Peninsula.

• Korean Journal of Environment and Ecology
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• v.17 no.4
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• pp.316-323
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• 2004

In order to monitor the vegetation restoration in the evergreen broad-leaved forest, eighteen experimental plots including control plots were established at Wando Arboretum in 1996. Several treatments such as density control, selective cutting and warm temperate species planting were done in the experimental plots. Seven years after the restoration experiments, the important percentage of Quercus acuta showed a tendency to a higher increase in the experiment plots than control plots in Q. Acutu. Also the important percentage of Q. Acuta in Q. acute Carpinus tschonoskii community increased in the tree layer. Pinus densiflora community was increased highly in important percentage of Q. Acuta, As a whole, vegetation structure in the experiment plot showed successional stage to Q. Acutu community. In addition, important percentage of evergreen broad-leaved trees and shrubs and number of warm temperate species and basal area were increased in the experiment plots while the introduced evergreen broad-leaved trees were declined.

• Korean Journal of Environment and Ecology
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• v.21 no.2
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• pp.141-148
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• 2007

To investigate the forest community structure ranging from 200 meters to 1,350 meters above sea level at Donnaeko valley of Mt. Hallasan in 2006, 15 plots were surveyed. According to the classification analysis by TWINSPAN, the plant communities were divided into five groups of Castanopsis sieboidii community, Castanopsis sieboldii - Quercus acuta community, mixed forest, Carpinus laxiflora - Quercus serrata community and deciduous broad-leaved forest. 22 species of evergreen broad-leaved trees such as Castanopsis sieboldii, Quercus acuta, Distylium racemosum, Camellia japonica, Eurya japonica, Ligustrum lucidum, Ilex crenata, Daphnipyllum macropodum, etc. were growing at Donnaeko valley. According to the attitudinal distribution of evergreen broad-leaved trees, Castanopsis sieboidii was a dominant species distributed from 200 meters to 350 meters above sea level, Castanopsis sieboldii and Quercus acuta were dominant species distributed from 400 meters to 600 meters above sea level and Quercus acuta was a dominant species distributed from 660 meters to 700 meters above sea level. Ilex crenata, Daphniphyllum macropodum, Elaeagnus glabra were distributed up to 1,350 meters above sea level in Donnaeko.

• Korean Journal of Environment and Ecology
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• v.34 no.1
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• pp.27-41
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• 2020

The purpose of this study was to survey vegetation characteristics of Jeopdo (island) for the construction of a database. We installed and analyzed 52 plots with 100㎡ quadrat to investigate the vegetation characteristics. The community classification based on TWINSPAN found seven categories of vegetation communities in the surveyed region: Pinus thunbergii-Pinus densiflora community, Pinus densiflora-Quercus serrata community, Carpinus turczaninowii-Quercus variabilis community, Carpinus turczaninowii-Quercus acutissima community, Quercus variabilis-Carpinus turczaninowii community, Castanopsis sieboldii community, and Actinodaphne lancifolia-Camellia japonica community. The vegetation in Jeopdo is largely composed of evergreen conifer trees community (communities I and II), Carpinus turczaninowii-deciduous broad-leaved trees such as Quercus spp. community (communities III, IV, and V), and evergreen broad-leaved trees community (communities VI and VII). The evergreen conifer tree (Quercus serrata) community is currently competing with Pinus densiflora and Pinus thunbergii. The current state is expected to continue due to the lack of forces, such as Castanopsis sieboldii and Actinodaphne lancifolia, in the succession middle stage and climax stage. The current state of Carpinus turczaninowii-deciduous broad-leaved trees such as Quercus spp. community is expected to last for a long time due to slow vegetation development because of soil conditions. The evergreen broad-leaved trees community is transforming from the initial stage of Pinus densiflora and Pinus thunbergii through the stage in Quercus serrata to Castanopsis sieboldii and Actinodaphne lancifolia. The overall ages of the specimens were similar, and the oldest tree was the 59-year old Castanopsis sieboldii. The correlation analysis of major species showed a high positive correlation between Pinus thunbergii and Eurya japonica, Pinus densiflora and Fraxinus sieboldiana, and Actinodaphne lancifolia and Camellia japonica and a high negative correlation between Pinus densiflora and Carpinus turczaninowii and Carpinus turczaninowii and Eurya japonica.