• Journal of Energy Engineering
• /
• v.8
• /
• pp.86-102
• /
• 1999

우리나라의 석탄산업은 해방후 40여년간 거의 불황을 모르고 오직 생산의 극대화에 전념하며 국가경제의 유지에 필수적인 에너지, 주로 민수용 에너지를 공급하는데 지대한 공헌을 하여왔다. 국내 석탄산업은 50년대 1인당 국민소득 100US$에도 미치지 못하였던 우리나라의 경제규모를 한때 10,000US$까지 100배의 신장을 이룩하는데 가장 중요한 역할을 담당하였으며, 또한 해방전 우리나라의 가정용 주 에너지원이었던 신탄을 무연탄으로 대체함에 따라 산림녹화에 의한 치산치수와 환경개선에 지대한 공헌을 하였다. (중략)

• Environmental and Resource Economics Review
• /
• v.5 no.1
• /
• pp.67-86
• /
• 1995

제지 및 판지산업에서 생산원료로 사용되고 있는 펄프가 폐지와 대체가능하다면 폐지의 의무사용량을 늘이는 정책은 매립지문제 뿐만 아니라 산림자원보호와 공해방지 측면에서 효과적인 방안이 될 수 있다. 일반적으로 미국의 제지 및 판지공장에서 사용되는 펄프는 수직적으로 합병된 펄프공장에서 지급되어 중간재로서의 펄프의 시장가격이 존재하지 않기 때문에 펄프와 폐지의 대체탄력성을 측정하기 위하여 펄프량을 이윤이 극대화되는 수준으로 고정시킨 후, 제약이윤함수(制約利潤函數)를 추정한 결과, 펄프와 폐지는 대체가능한 것으로 나타났다.

• Journal of Korean Society for Geospatial Information Science
• /
• v.20 no.1
• /
• pp.83-91
• /
• 2012

Crown density, which is defined as the proportion of the forest floor concealed by tree crown, is important and useful information in various fields. Previous methods of measuring crown density have estimated crown density by interpreting aerial photographs or through a ground survey. These are time-consuming, labor-intensive, expensive and inconsistent approaches, as they involve a great deal of subjectivity and rely on the experience of the interpreter. In this study, the crown density of a forest in Korea was estimated using KOMPSAT-2 high-resolution satellite images. Using the image segmentation technique and stand information of the digital forest map, the forest area was divided into zones. The crown density for each segment was determined using the discriminant analysis method and the forest ratio method. The results showed that the accuracy of the discriminant analysis method was about 60%, while the accuracy of the forest ratio method was about 85%. The probability of extraction of candidate to update was verified by comparing the result with the digital forest map.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2019.04a
• /
• pp.60-60
• /
• 2019

지속가능한 개발이 주목받고 남북 평화의 시대를 맞이하여 임업분야와 농업 축산분야가 결합된 혼농임업(Agroforestry)이 주목받고 있다. 혼농임업(Agroforestry)은 식량, 과실, 풀사료, 땔감, 목재 등을 생산하고 토양보전을 실천하여 지속농업을 가능케 하는 복합영농의 한 형태이며, 북한 산지의 경우 황폐화된 산지가 많아 경제성과 산림녹화를 동시에 해결할 수 있어 많은 관심을 받고 있다. 본 연구는 강원도 하늘목장을 시범목장으로 선정하여 조사를 실시하였고, 연구조사지의 총 면적은 2.4ha로 백두대간과 오대산국립공원이 인접한 지역으로 다양한 식물상을 파악할 수 있는 지역이다. 그러므로 외래종침입에 따른 생태적 교란을 방지하기 위하여 완충지대를 설정하고 식물상 조사를 실시하였다. 그리고 조사지내의 대표 수종으로 선정된 모수만 남기고 벌채를 실시하여 변화양상을 모니터링 하였다. 2014년~2017년 총 3개년 계절별 조사를 통해 임간초지의 식물상 정보를 파악하였고 임간초지의 관속식물상을 조사한 결과 92과 250속 323종 4아종 43변종 6품종으로 총 376분류군이 조사되었다. 자원식물의 유용도 분석한 결과 식용자원(E)이 160분류군으로 가장 많은 비율을 차지하고 있었으며, 약용(M) 141분류군, 관상용(O) 45분류군으로 나타났으며, 용도미상(U) 식물도 73분류군이 분포하고 있는 것으로 나타났다. 또한 연구 대상지역의 특성을 고려하여 조성된 초지 내에서 조사료로 사용할 수 있는 식물 종을 파악하였다. 나아가 미비한 임간초지 식생의 DB를 구축하고, 지속가능한 녹색성장을 모색하여야 할 것이다.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.189-194
• /
• 2019

Forest investigation is the basic data for forest preservation and forest resource development, and periodical data acquisition and management have been performed. However, most of the current forest investigations in Korea are surveys to grasp the current status of forests, and various applications have not been made as geospatial information. In this study, the unmanned aerial scanner was used to acquire and process data in the forest area and to present an efficient forest survey method through analysis of the results. Unmanned aerial scanners can extract ground below vegetation, effectively creating DEM for forest management. It can be used as geospatial information for forest investigation and management by generating accurate topographical data that is impossible in conventional photogrammetry. It can also be used to measure distances between power lines and vegetation or manage transmission lines in forest areas. The accurate vertical distance measurement for vegetation surveys can greatly improve the accuracy of labor measurement and work efficiency compared to conventional methods. In the future, the use of unmanned aerial scanners will improve the data acquisition efficiency in forest areas, and will contribute to improved accuracy and economic feasibility compared to conventional methods.

• Journal of Korean Society of Forest Science
• /
• v.85 no.4
• /
• pp.586-595
• /
• 1996

The purpose of this study was to examine the effects of participation in a forest program on the level of depression changes in the participants. Total of 501 university students residing in the middle province of Korea were administered Beck Depression Inventory(BDI). Among them, 32 students were selected as participants of the program based on the scores of the BDI. A 5-day forest program included climbing, sharing experience with others and so on. Pre and post tests control group research design was employed for this study, with BDI measures taken from each of 32 participants on three time frames : 2 weeks before the program, immediately before participation, and immediately after participation. BDI scores were expected to decrease as a result of forest program participation. The study results supported this hypothesis.

• Environmental and Resource Economics Review
• /
• v.26 no.2
• /
• pp.229-255
• /
• 2017

This study empirically estimates the impacts of climate change on forest composition in Korea using a fractional data regression model, and forecasts the change in forest composition in the 2040s and 2090s based on the IPCC climate change scenarios. Unlike the forest science studies that incorporate mostly only ecological variables as the determinants of forest composition, we take into account regional level socio-economic and forest management variables as well. Our estimation results found that not only environmental factors but also socio-economic and forest management related factors strongly affect the composition of Korean forest. Based on the estimation results and IPCC scenarios on climate change, we predict that the share of currently dominant coniferous forest will decline in the future under all scenarios. About 10% of total forest area is likely to be converted from coniferous forest into broadleaved forest until 2090s under the scenario RCP 8.5. It is also predicted that there will be a substantial regional variation in the effects of climate change on forest composition, and the coniferous forests in the inland regions will decline more dramatically.

• Journal of Korean Society of Forest Science
• /
• v.97 no.1
• /
• pp.10-21
• /
• 2008

The purpose of this study is to evaluate the fitness of policy topics and policy making process, the reasonableness of policy enforcement, the backing of public opinion and the results and effects of policy enforcement for the reforestation and silviculture policy in Korea. Most of the fitness of policy topics was evaluated positively, but the change of species of reforestation trees from a coniferous tree to broad-leaved tree was evaluated negatively. Most of the fitness of policy making process and the reasonableness of policy enforcement was evaluated positively, but the conflicts with other forest policy was evaluated negatively. And the limits of self-judgement of the responsible person needs to be extended. The backing of public opinion was evaluated positively but that of statesman was evaluated negatively. And the most of the results and effects of policy enforcement was evaluated positively but the economic contribution of the policy was evaluated negatively.

• Environmental and Resource Economics Review
• /
• v.19 no.3
• /
• pp.597-632
• /
• 2010

There is general agreement that global warming is occurring and that the main contributor to this probably is the buildup of green house gasses, GHG, in the atmosphere. Two main contributors are the utilization of fossil fuels and the deforestation of many regions of the world. The burning of fossil fuels increases atmospheric carbon while the burning of fuel-wood reducing fossil fuel consumption along with its forest source maintain an atmospheric carbon level. The standing timber in the forests is a carbon sink, as are wood buildings and structures, and fossil fuel in the ground. This paper is designed to examine a number of current issues related to mitigating the global warming problem through forestry. For this purpose, we develop a modeling approach by integrating timber market, fossil fuel market and carbon cycling model. We use discrete time optimal control theory to identify optimal time paths, the laws of motion, and stationary stats solutions of endogenous variables in the model. On the basis of these results, we identify the optimal amounts of subsidies to be provided or taxes to be imposed by the regulatory agency to mitigate atmospheric carbon accumulation. We also present a numerical example to help illustrate the characteristics of variables in the model when the social cost for atmospheric carbon incrementally shifts upward. A surprising result is that the social cost function for atmospheric carbon has a very smaller impact on the optimal rotation period than previous literature suggested.

• Journal of Korean Society of Forest Science
• /
• v.98 no.3
• /
• pp.247-254
• /
• 2009

In this study, linear programming was applied to a case study in Gwangreung Experimental Forest of Korea Forest Research Institute investigating the effect of the desired future conditions on forest management. Considering the social, economic and ecological demands of people from the forest, the forest functions were classified into four including natural conservation, timber production, water yield and scenic conservation. The forest land areas were divided into four-types of forest functional zones and forest management prescriptions including the desired future conditions by the forest function type were established. The Model II linear programming was used in optimizing the forest management planning. The model includes management policies, as the constraints, for non-declining yield, allowable cutting area, allowable % age class distribution and allowable % species allocation as well as the land and other accounting regimes. Maximization of timber production was used the objective function. Based on the Model II formulations, the effects of the desired future conditions by the forest function type on forest management planning were investigated in terms of timber production, net present value and stand structures over time.