• Journal of Korean Society of Forest Science
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• v.100 no.4
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• pp.698-707
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• 2011

Over the past 10 years, South Korea has implemented various plantation projects including the Pine Restoration Project in Tujiin Nars and the desertification prevention forestation in Lun soum. This study has evaluated the implementation feasibility on the small-scale A/R CDM projects in Mongolia through which carbon emission credits can be secured. Characteristics, pros and cons, economic feasibility, and project execution feasibility were compared among three possible sites, Khyalganat, Tujiin Nars, and Lun soum. Among the three evaluated sites, Tujiin Nars has the better condition in tree growth, economic feasibility, and the applicability of experience than the other two sites. A/R CDM project in Mongolia, which has a great environmental benefit of combating desertification, is expected to have some effectiveness such as lowering costs from credit benefit, sustainable management by villagers, contribution to communities, investor's contribution to society and achievement of green image, and strengthening forestry cooperation between Korea and Mongolia.

• Korean Journal of Environment and Ecology
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• v.26 no.4
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• pp.484-497
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• 2012

In recent, the primary concern of the forest policy paradigm, which has been mostly focusing on reducing emissions by the effort of afforestation and reforestation, is moving to the REDD activities that are operated by deforestation and forest degradation. In response, the phased studies is going well to visualize performance outcomes of REDD activities. This study brings up the optimum baseline approach for operating the national REDD program by simulating six different baseline approaches broadly used throughout the worldwide, and classified forestry condition for each province in Korea. From this study, we could aware that the carbon credit of HFLD has a low acquisition, but LFMD and LFHD has a high acquisition. Therefore, there are not many reasons for performing REDD activities due to the lack of economical benefits in compared to the devleopment of producing district in HFLD. All kinds of forestry condition, satisfactory baseline approach are needed to enhance the participation and the actuality about REDD program. When evaluating the participation and actuality, the rational decision should be considered as the most appropriate Corridor Approach. This study suggests that the modified Corridor Approach is required for overcoming the weak points, so that we developed the New Corridor Approach which could be easily adopted to Korea environment.

• Environmental and Resource Economics Review
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• v.28 no.1
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• pp.61-93
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• 2019

This study is to apply Hedonic Price Method in analyzing residents' preferences for three types of urban green space (UGS, rivers, urban parks, and forests) near the apartment complexes in Seoul. Based on hedonic price function estimation results, residents in Seoul preferred for the urban amenity that was provided by the view and accessibility (in terms of both within 10 minutes and distance) of rivers and urban parks near the apartment complexes, but not forests. The annual benefits calculated using the shadow prices are about 550~600 thousand won for the urban park views and about 800 thousand won for the accessibility, which is 2-3 times higher than river views and accessibility. On the other hand, forest views and accessibility did not have significant effects on apartment prices, except the view of Bukhan mountain for the residents of Gangbuk area. Based on the empirical results, Seoul residents' preferences for urban parks would have important implications for the urban park sunset program that will be initiated from July 2020.

• Journal of Korean Society of Forest Science
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• v.79 no.4
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• pp.413-418
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• 1990

Since 1945, the periodical reforestation projects considered as the fundamental apparatus of the forest policy of the Government have been continuously carried out during last 40 years in Korea. As a result, some of the forests are ready to be harvested, especially in well-managed plantations as well as in the natural forests. This requires to pay more attention to harvesting the timber rather than planting trees. At the present, such timber harvesting operations such as cutting, felling, bucking, and skidding and yarding, particularly yarding operations in mountain areas with harsh terrains are in the most cases depend upon man power. However, the yarding operations should be more mechanized in the near future in Korea mainly because of the high cost of labour couppled with the lack of labour in forested areas. The Forest Work Training Center attached to the Forest Administration imported and tested the smallsized cable crane(K-300) with movable tower. The result of economic analysis of the yarding operation expenditures shows that the cable crane yarding costs more than the man yarding at the present time. As the labour cost will gradually increase and the efficiency of machine operation will improve, the results of the study indicates that the yarding operation by cable crane will be more cost-effective in the future.

• Journal of Korean Society of Forest Science
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• v.103 no.3
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• pp.453-461
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• 2014

As interest in 'Forest therapy' continues to increase, local governments as well as Korea Forest Service (KFS) are actively promoting a project to create 'healing forests' nationwide. In this situation, it is necessary to examine whether such a policy is suitable. Therefore, the main purpose of this study is to estimate the use value of Jangseong healing forest which is the most-visited place among the national healing forests. To achieve this aim, a survey of randomly selected 400 visitors was conducted in Jangseong healing forest. 391 surveys were used for analysis, excluding 9 untruthful answers. And 1.5 bounded dichotomous choice contingent valuation method (CVM) was used to estimate the economic value of Jangseong healing forest. As a result, the average willingness to pay ($wTP_{mean}$) for the use fee of Jangseong healing forest was 35,010 won per visitor per day. And the annual use value of Jangseong healing forest was estimated to be worth almost 7.5 billion won.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.670-678
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• 2014

This paper analyzes the characteristics of population change and makes the population projection in the mountainous area of Korea. Mountainous areas are defined as local towns (eup or myeon) with forest area more than 70 percent of land area, population density less than 111 people per square kilometer, and plowland area less than 21 percent of land area. The population in mountainous areas has decreased dramatically, while the ageing index has increased over the past two decades. To make the population projection, the cohort-change ratios method is applied. The results revealed that a multitude of young people aged 10 to 39 moved to cities to find education and job chance and some people aged 40 and over moved to mountainous areas as the trends of urban-to-rural migration. This continuing trend will culminate in 680 thousand people in population and 1,035 of ageing index in 2030, which will lead to the unequal land development and inefficient forest management. Thus, policy makers need to develop stimulus plans to revitalize and stabilize the economy of mountainous areas.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.59-66
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• 2019

This study was conducted to evaluate the effect of the synthetic forest road network by calculating the optimal road density and layout of the forest road network in order to construct the systematic road network in the forested area. For this, five comparative routes were additionally planed and compared through evaluation indicators. As a result, the optimum road density of the study site was estimated to be 18.4 m/ha, and the synthetic forest road network was the best in the four indicators such as average skidding distance, standard deviation of skidding distance, development index, and circuity factor. In addition, the synthetic forest road network was comparable to the main road network by about 4 %p in the timber volume available and potential area size for logging, but the construction cost of the road was about 20 %p lower. It showed a synthetic forest road network was better in terms of economy.

• Journal of Plant Biotechnology
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• v.49 no.4
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• pp.325-330
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• 2022

In this study, a plant tissue culture system was established for Atractylodes spp., an economically valuable medicinal crop in Korea that has low domestic production and is increasingly imported. In particular, Atractylodes ovata was treated with four types of cytokinins, 6-benzylaminopurine (BA), zeatin, kinetin, and thidiazuron (TDZ), in two different concentrations (0.5 and 1.0 mg/L). Among the four types of cytokinins, the BA treatment was effective for the shoot and root growth of A. ovata. Both the 0.5 mg/L and 1.0 mg/L concentrations of BA showed similar results; however, the 1.0 mg/L concentration of BA was more effective in promoting shoot and root growth. The treatments showed that the TDZ treatment was not effective for the shoot and root growth, except for the number of shoots and the fresh weight (FW) of the root; therefore, it was unsuitable for this species. In this study, we established a mass production system of A. ovata. Our results showed that direct in vitro regeneration may make a significant contribution to improving the cultivation of the medicinal plant A. ovata.

• Journal of Korean Society of Forest Science
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• v.96 no.4
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• pp.477-482
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• 2007

Forest biomass became a topic because we have growing interest in global environmental issues and environment-friendly energy resources. This study was carried out to estimate the forest biomass and develop a program for biomass information management in Korea. The total forest biomass (million ton) were 521 for gross forest, 403 for productive forest and 201 for commercial forest in 2005. Also, the annual biomass production in forest was 20 million ton which was equivalent to 94,290 Gkcal of heating value and about 9 billion won of paraffin oil. The biomass growing rate (every 10year) increased from 4.95% in 1985 to 5.30% in 1995 but turn down 4.46% in 2005. The factors that the forest stock could be converted to the forest biomass have developed according to forest type. Therefore, it is impossible to estimate the exact biomass by tree species. In this reason, the demands of the development of the factors by tree species was raised. In addition, it is on time to develop an equation for estimation of biomass by species using dbh and height as independent factors.

• Korean Journal of Remote Sensing
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• v.34 no.6_3
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• pp.1399-1414
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• 2018

Natural forests are un-manned forests where the artificial forces of people are not applied to the formation of forests. On the other hand, artificial forests are managed by people for their own purposes such as producing wood, preventing natural disasters, and protecting wind. The artificial forests enable us to enhance economical benefits of producing more wood per unit area because it is well-maintained with the purpose of the production of wood. The distinction surveys have been performed due to different management methods according to forests. The distinction survey between natural forests and artificial forests is traditionally performed via airborne remote sensing or in-situ surveys. In this study, we suggest a classification method of forest types using satellite imagery to reduce the time and cost of in-situ surveying. A classification map of natural forest and artificial forest were generated using KOMPSAT-3, 3A, 5 data by employing artificial neural network (ANN). And in order to validate the accuracy of classification, we utilized reference data from 1/5,000 stock map. As a result of the study on the classification of natural forest and plantation forest using artificial neural network, the overall accuracy of classification of learning result is 77.03% when compared with 1/5,000 stock map. It was confirmed that the acquisition time of the image and other factors such as needleleaf trees and broadleaf trees affect the distinction between artificial and natural forests using artificial neural networks.