• The Korean Journal of Ecology
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• v.12 no.2
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• pp.109-122
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• 1989

The vegetation and landscape of Hokkaido were phytosociologically referred. The region of F a g e t e a c r e n a t a e on Hokkaido is divided into two types of deciduous broad-leaved forest: the oak (Quercus mongolica var. grosseserrata) forests mixed with conifers (mainly Abies sachalinensis) and the beech (Fagus crenata) forests of northernmost distribution in far-east Asia. The oak forests, which is dominated by Quercus mongolica var. grosseserrata in Japanse islands, seem to be developed from different climatic and edaphic conditions, especially in the amount and sharing pattern of precipitation in a year, and weak acid brown forest soil, volcanic ash soil and sandy soil. On the all-inclusive phytogeographical view-point, Hokkaido is situated at northernmost region of F a g e t e a c r e n a t a e (cool-temperate zone)neighboring with subarctic and subalpine vegetation, vegetation, but the evergreen broad-leaved forest (C a m e l l i e t e a j a p o n i c a e, warm-temperate zone) is abscent.

• Journal of Korean Society of Forest Science
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• v.96 no.2
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• pp.160-169
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• 2007

The data used to develop distance-independent individual models for natural mixed forests were collected from 712 remeasured permanent sample plots (25,526 trees) of 10-year periodic from 1990 to 2000 in Baihe Forest Bureau of Changbai Mountains, northeast China. Based on analyzing relationship between diameter increment of individual trees with tree size, competitive status, and site condition, the diameter growth models for individual trees of 15 species growing in mixed-species uneven-aged forest stands, that have simple form, good predicting precision, and easily applicable, were developed using stepwise regression method. The main variables influencing on diameter increment of individual trees were tree size and competition, however, the site conditions were not significantly related with diameter increment. The tree size variables (lnDBH and $DBH^2$) were the most significant and important predictors of diameter growth existing in all 15 growth models. The diameter increment was directly proportional to tree diameter for each species. For the competitive factors in growth model, the relative diameter (RD), canopy closure (P), and the ratio of diameter of subject tree with maximum diameter (DDM) were contributed to the diameter increment at a certain extent. Other measures of stand density, such as basal area of stand (G) and stand density index (SDI), were not significantly influenced on diameter increment. Site factors, such as site index, slope and aspect were not important to diameter increment and excluded in the final models. The total variance explained by the final models of squared diameter increment ($R^2$) for all 15 species ranged from 35% to 72% and these results compared quit closely with those of Wykoff (1990) for mixed conifer stands. Using independent data set, validation measures were evaluated for predicting models of diameter increment developed in this study. The result indicated that the estimated precision was all greater than 94% and the models were suitable to describe diameter increment.

• Korean Journal of Environment and Ecology
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• v.30 no.2
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• pp.199-213
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• 2016

This study aimed to analyze the vegetation characteristics of the coastal forests and to figure out if there is possibilities to develop the forests into mixed stand multistory forests and to suggest some sound management practices. The vegetat- ion structure and flora of four sites; Kijipo, Chunjangdae, Janghang and Kusipo in the west coastal forests in Korea were investigated and analyzed in the present study. In the every site, Pinus thunbergii was dominating the tree layer in the forests. And P. densiflora, Robinia pseudoacacia, Quercus serrata, Prunus sargentii var. sargentii, Q. acutissima and Castanea crenata were dominating the subtree layers in some sites. P. thunbergii stands in four sites would maintain for a while since the populat- ion density of middle aged group is higher than those of young and old groups. According to the geographical location conditions, there is a possibility that the coastal forests in Kusipo site would progress into oak tree stands in the long run. The biodiversity was quite high to have 205 taxa in the study sites. To induce the coastal forests into multistory forests, P. thunbergii stands need to be thinned. And then creating the environment including making some pathways and site usage rest-riction is needed to let new diverse plants could come in and grow for a success-ful multistory forests.

• Journal of Korean Society of Forest Science
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• v.90 no.5
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• pp.632-642
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• 2001

Fauna, especially Carabidae (Coleoptera), on the floor of Pinus densiflora forests was investigated at five plantations and was compared with that in a mixed natural forest of pine and deciduous trees. There was little difference in the ground beetle fauna among the five P. densiflora plantations, and the bio-diversity of soil layer fauna was poor in all the pine plantations. Individual numbers of the beetles belonging to the genus Synuchus with increasing the infestation rate of the pine needle gall-midge (Thecodiplosis japonensis). These beetles seem to be important predators of the gall-midge. Comparing to the mixed forest, the number of higher taxa and the numbers of genera and species of Carabidae were all small in the pine forests. And especially, most flightless species were found only in the mixed forest. Thus, it is concluded that many species of Carabidae which had been lost from the lower mountainous areas of Korea have not recovered yet in the pine forests.

• Genomics & Informatics
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• v.20 no.2
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• pp.23.1-23.9
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• 2022

A survival prediction model has recently been developed to evaluate the prognosis of resected nonmetastatic pancreatic ductal adenocarcinoma based on a Cox model using two nationwide databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP). In this study, we applied two machine learning methods-random survival forests (RSF) and support vector machines (SVM)-for survival analysis and compared their prediction performance using the SEER and KOTUS-BP datasets. Three schemes were used for model development and evaluation. First, we utilized data from SEER for model development and used data from KOTUS-BP for external evaluation. Second, these two datasets were swapped by taking data from KOTUS-BP for model development and data from SEER for external evaluation. Finally, we mixed these two datasets half and half and utilized the mixed datasets for model development and validation. We used 9,624 patients from SEER and 3,281 patients from KOTUS-BP to construct a prediction model with seven covariates: age, sex, histologic differentiation, adjuvant treatment, resection margin status, and the American Joint Committee on Cancer 8th edition T-stage and N-stage. Comparing the three schemes, the performance of the Cox model, RSF, and SVM was better when using the mixed datasets than when using the unmixed datasets. When using the mixed datasets, the C-index, 1-year, 2-year, and 3-year time-dependent areas under the curve for the Cox model were 0.644, 0.698, 0.680, and 0.687, respectively. The Cox model performed slightly better than RSF and SVM.

• The Korean Journal of Ecology
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• v.17 no.3
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• pp.391-413
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• 1994

The northernmost type of the monogolian oak forests in the Russian Far East was studied in terma of syntaxonomy and synchorology. Hand-sorting method, computer program TWIN-SPAN, CANOCO and SYN-TAX III were engaged for the classification and data analysis. Correlation between plant communitie and environmental factors was analyzed by DCA (Detrended Correspondence Analysis) using NeCD (Net Contribution Degree) of species. Three plant communities were recognized: the Abieti holophyllae-Quercetum mongolicae, the Lespedezo-quercetum mongolicas and the Rosa ussuriensis-Quercus mongolica communit. They were included into the alliance Jeffersonio-Quercion monogolicae which is representative to the cool-Temperate forests mixed by conierous and broadleaved trees in southern Sikhote Alin. Human impact was signified as the most important factor to interpret the disjunction of plant communities of which DCA ordination yielded sharp contrasting objects (i.e. stands and species). In the amhi-Tonghae region, alaogous vegetation types such as the Jeffersonio-Quercion monogolicae of Russian Far East, the Quercion grosseserratae of Japanese Hokkaido and the Pino koraiensis-Quercion monogolicae of Koream peninusula were reviewed in terms of similarity of species composition and stratum structure. It is signified that the Jeffersonio-Quercion monogolicae was one of the continental types more similar to Korean alliance that to Japanese one.

• Journal of Forest and Environmental Science
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• v.34 no.2
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• pp.126-135
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• 2018

Wood decay fungi were collected in 47 different locations in eight provinces of South Korea from 2011 to 2013. One thousand and five hundreds three fruiting bodies of wood-decay fungi were collected, identified, and classified into 2 phyla, 7 classes, 19 orders, 56 families, 159 genera and 365 species. The most dominant genus and species found were Trametes and T. versicolor. The highest species diversity was found in broad-leaved forest (273 species), and was also found at elevations of 500-1,000 m (227 species). A total of 333 species were collected from broad-leaved trees, 87 species from coniferous trees, and 55 species were collected from both forest types. Gymnopilus liquiritiae was the most dominant species in coniferous trees, while T. versicolor, which was mostly collected from tree trunks below 500 m in elevation, was dominant in broad-leaved trees. Results from the quantitative cluster analysis of wood decay fungi showed that the highest species diversity index was 1.80 in the mixed forests, while the highest similarity among forest types was shown between the broad-leaved and mixed forests.

• Journal of Ecology and Environment
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• v.34 no.3
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• pp.259-267
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• 2011

A pollen analytical study of sediment sequences collected from Yongneup moor (sampling point: $38^{\circ}$12'57.4" N, $120^{\circ}$7'30.2" E) was conducted to understand the vegetation history in the mountainous region of the central Korean peninsula. Carbon dating was carried out to measure five successive samples obtained from the bottom at a depth of 180 cm to the surface. The Yongneup moor sediment revealed four main local pollen zones; that is, four past vegetation phases as follows: Local pollen zone I: Quercus-Pinus zone; estimated age, 5,900-4,800 calibrated years (cal) before present (BP); vegetation type, cool-temperate central/montane deciduous broad-leaved forest. Local pollen zone II: Pinus-Abies-Quercus zone; estimated age, 4,800-3,400 cal BP; vegetation type, cool-temperate northern/alti-montane mixed coniferous and deciduous broad-leaved forest. Local pollen zone III: Quercus-Pinus-Abies zone; estimated age, 3,400-400 cal BP; vegetation type: cool-temperate central/montane deciduous broad-leaved forest. Local pollen zone IV: Pinus-Quercus zone; estimated age, 400-present cal BP; vegetation type, cool-temperate central/montane mixed deciduous broad-leaved and coniferous forest. It was confirmed that subalpine coniferous forests had expanded to the mountainous region of the central Korean peninsula during the period from 4,800-3,400 cal BP and thereafter deciduous forests dominated by Q. mongolica were established. Notably, secondary forests dominated by P. densiflora developed in the lower part of the mountainous region of the central Korean peninsula about 400 cal BP due to human interference.

• Forest Science and Technology
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• v.14 no.4
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• pp.181-191
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• 2018

This study was carried out in the teaching and research forest of the University of Dschang in Belabo, with the aim of analysing land-cover and land-use changes as well as carbon stocks dynamic. The databases used are composed of three Landsat satellite images (5TM of 1984, 7ETM + of 2000 and 8OLI of 2016), enhanced by field missions. Satellite images were processed using ENVI and ArcGIS software. Interview, focus group discussion methods and participatory mapping were used to identify the activities carried out by the local population. An inventory design consisting of four transects was used to measure dendrometric parameters and to identify land-use types. An estimation of carbon stocks in aboveground and underground woody biomass was made using allometric models based on non-destructive method. Dynamic of land-cover showed that the average annual rate of deforestation is 0.48%. The main activities at the base of this change are agriculture, house built-up and logging. Seven types of land-use were identified; adult secondary forests (64.10%), young secondary forests (7.54%), wetlands (7.39%), fallows (3.63%), savannahs (9.59%), cocoa farms (4.28%) and mixed crop farms (3.47%). Adult secondary forests had the highest amount of carbon ($250.75\;t\;C\;ha^{-1}$). This value has decreased by more than 60% for mixed crop farms ($94.67\;t\;C\;ha^{-1}$), showing the impact of agricultural activities on both forest cover and carbon stocks. Agroforestry systems that allow conservation and introduction of woody species should be encouraged as part of a participatory management strategy of this forest.

• Journal of Korean Society of Forest Science
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• v.113 no.1
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• pp.40-50
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• 2024

Pine forests are continuously declining due to competition with broadleaf trees, such as oaks, as a consequence of changes in the natural dynamics of forest ecosystem. This natural decline creates a risk of losing the various benefits pine trees have provided to people in the past. Therefore, it is necessary to prepare future forest management directions by considering the state of pine tree decline in each region. The goal of this study is to understand the characteristics of pine forest changes according to forest dynamics and to predict future regional changes. For this purpose, we evaluated the trend of change in pine forests and extracted various variables(topography, forest stand type, disturbance, and climate) that affect the change, using time-series National Forest Inventory (NFI) data. Also, using selected key variables, a model was developed to predict future changes in pine forests. As a results, it showed that the importance of pine trees in forests across the country has decreased overall over the past 10 years. Also, 75% of the sample points representing pine trees remained unchanged, while the remaining 25% had changed to mixed forests. It was found that these changes mainly occurred in areas with good moisture conditions or disturbance factors inside and outside the forest. In the next 10 years, approximately 14.2% of current pine forests was predicted to convert to mixed forests due to changes in natural forest dynamics. Regionally, the rate of pine forest change was highest in Jeju(42.8%) and Gyeonggi(26.9%) and lowest in Gyeongbuk(8.8%) and Gangwon(13.8%). It was predicted that pine forests would be at a high risk of decline in western areas of the Korean Peninsula, including Gyeonggi, Chungcheong, and Jeonnam. This results can be used to make a management plan for pine forests throughout the country.