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Cui, Guishan,Lee, Woo-Kyun,Kim, Damin,Lee, Eun Jung,Kwak, Hanbin,Choi, Hyun-Ah,Kwak, Doo-Ahn,Jeon, Seongwoo,Zhu, Weihong 한국식물학회 2014 Journal of Plant Biology Vol.57 No.4
This paper quantified carbon budget in the past 30 years (1981-2010) and identified the impact of land cover change on carbon dynamics using vegetation integrated simulator for trace gases (VISIT) model. North Korea was converted from carbon sink to source with $10.72{\pm}5.18TgCyr^{-1}$ of net ecosystem production (NEP) in the 1980s, $3.00{\pm}7.96TgCyr^{-1}$ in the 1990s, and $-0.46{\pm}5.13TgCyr^{-1}$ in the 2000s. NEP in South Korea was $10.55{\pm}1.09TgCyr^{-1}$ in the 1980s, $10.47{\pm}7.28TgCyr^{-1}$ in the 1990s, and $6.32{\pm}5.02TgCyr^{-1}$ in the 2000s, showing a gradual decline. In North Korea, NEP was decreased by $0.52Tgyr^{-1}$ in the 1990s due to reduction of forest, and increased by $0.36Tgyr^{-1}$ in the 2000s due to expansion of cropland. In South Korea, it was decreased by $0.24Tgyr^{-1}$ in the 1990s as urban and built-up area expanded, and increased by $0.04Tgyr^{-1}$ in the 2000s with the expansion of forest. These results suggest the importance of forest and land cover management against deforestation for ensuring national carbon balance.
Desertification monitoring by LANDSAT TM satellite imagery
Guishan Cui,이우균,곽두안,최성호,박태진,이종열 한국산림과학회 2011 Forest Science And Technology Vol.7 No.3
The desertification tendency of the Qubqi Desert in China for 10 years was investigated using vegetation and soil change indices extracted from seven LANDSAT TM images. To identify the desertification tendency, two methods were applied. In the first, the desertification extent and tendency were determined by classifying the land cover into the following four categories using the Normalized Difference Vegetation Index (NDVI): floating desert area, halffixed sand area, fixed sand area, and grassland. In the second, the degree of desertification was classified using the Modified Soil Adjusted Vegetation Index (MSAVI): primitive state, latent state, slight desertification, medium desertification, and high-degree desertification. The study results demonstrated that expansion of desertification was mostly clear in the eastern Qubqi and the neighboring farming land area.
청정개발체제하 재 조림 사업의 토지적격성에 대한 사례 분석 ?고성군 재조림 사업을 중심으로?
( Cui Guishan ),권태협 ( Tae Hyub Kwon ),이우균 ( Woo Kyun Lee ),곽한빈 ( Han Bin Kwak ),남기준 ( Ki Jun Nam ),송용효 ( Yong Ho Song ),( Yu Hangnan ) 한국산림과학회 2013 한국산림과학회지 Vol.102 No.2
For reducing greenhouse gases, many countries carried out a series of activities not only at home but abroad. Particularly, after the release of the Kyoto Protocol, either nation or companies` participation was intensified, due to endow to responsibility of emission limits. This study focused on reforestation CDM work in Goseong Gun based on clean development system. Obstacle factors of land eligibility could be distinguished to three periods: before December 31th 1989, present and future. The obstacle before December 31th 1989 was that land cover of study area hardly illustrated by Landsat image, due to the low resolution, which were confirmed by a document of Grassland Composition Permission instead. The problem of current land eligibility is that the area of trees presence are difficult to be determined as forest or not. The boundary of forest in strata was identified, using 3-Dimensional Cartography Machine and aerial photograph. Land eligibility would still have obstacle whether the study area with trees presence has potentiality to be forest in the future at situation in absence of reforestation project. This was resolved by prediction of tree growth using stem analysis during execution of the project at study area.
Assessing vulnerability of forests to climate change in South Korea
Cui, Guishan,Kwak, Hanbin,Choi, Sungho,Kim, Moonil,Lim, Chul-Hee,Lee, Woo-Kyun,Kim, Joon-Soon,Chae, Yeora SPRINGER SCIENCE + BUSINESS MEDIA 2016 JOURNAL OF FORESTRY RESEARCH Vol. No.
<P>This study demonstrated a framework to assess vulnerability of forests to climate change. We focused on how alterations of temperature and precipitation might affect forest type distributions and carbon-related functions. In particular, our framework considered three sectors of forest type distribution, net primary production, and soil carbon storage. Future projections were derived from mechanistic models for South Korean forests under the A1B scenarios of the intergovernmental panel on climate change. Forest type distributions were simulated by the Hydrological and thermal analogy group model, while the MAPSS and CENTURY1 models estimated forest carbon flux/storage. We quantified normalized vulnerability indices for each sector. Our results indicate that the overall vulnerability of forest type distribution is greater in the west central regions and southeastern inlands. The vulnerabilities of carbon flux/storage show that net primary production of South Korean forests is relatively less susceptible to climate change, but a highly vulnerable area of soil carbon storage mainly spreads from the west central to the south east region. The spatio-temporal vulnerability map with a synoptic overview from this study might be useful for policy makers in preparing adaptive measures and identifying management priorities.</P>
이우균,박태진,이종열,변우혁,곽두안,Guishan Cui,김문일,정래선,Eko Pujiono,오수현,변정연,남기준,조현국,이정수,정동준,김성호 한국산림과학회 2012 Forest Science And Technology Vol.8 No.2
The importance of estimating forest volume has been emphasized by increasing interest on carbon sequestration and storage which can be converted from volume estimates. With importance of forest volume, there are growing needs for developing efficient and unbiased estimation methods for forest volume using reliable data sources such as the National Forest Inventory (NFI) and supplementary information. Therefore, this study aimed to develop a forest plot volume model using selected explanatory variables from each data type (only Forest Type Map (FTM), only airborne LiDAR and both datasets), and verify the developed models with forest plot volumes in 60 test plots with the help of the NFI dataset. In linear regression modeling, three variables (LiDAR height sum, age, and crown density class) except diameter class were selected as explanatory independent variables. These variables generated the four forest plot volume models by combining the variables of each data type. To select an optimal forest plot volume model, a statistical comparing process was performed between four models. In verification, Model no. 3 constructed by both FTM and airborne LiDAR was selected as an optimal forest plot volume model through comparing root mean square error (RMSE) and coefficient of determination (R^2). The selected best performance model can predict the plot volume derived from NFI with RMSE and R2 at 50.41 (m^3) and 0.48, respectively.
국가산림자원조사 정보의 규모 확장 및 변환을 위한 원격탐사자료의 활용방안 제언
박태진(Park, Taejin),이우균(Lee, Woo-Kyun),김문일(Kim, Moon-Il),최계선(Cui, Guishan) 대한공간정보학회 2011 한국지형공간정보학회 학술대회 Vol.2011 No.10
최근 탄소 저장 및 흡수원으로 산림의 중요성이 강조됨에 따라, 국가산림자원조사정보의 활용성이 높아지고 있다. 하지만, 국가산림조사(National Forest Inventory; NFI)의 표본점 구축 체계의 한계로 인해 미조사 지점에 대해서는 산림자원정보의 공간적 분포를 산출할 수 없는 한계를 지니고 있다. 따라서, 본 연구에서는 고해상도 Light Detection and Ranging(LiDAR)와 임상도(Forest Type Map)를 활용하여 미조사 지점의 산림재적을 추정하고자 한다. 또한, 고해상도 LiDAR의 특성을 기반으로 보다 세밀한 산림재적추정 방법을 제안하고자 했다. 산림재적모형 개발, 입력변수 구축 그리고 규모확장 및 변환 단계를 거쳐 최종적으로 4㎞×4㎞ 마다 0.08㏊의 표본점 단위의 산림재적을 1m×1m의 격자형태의 산림재적으로 확장 및 변환할 수 있을 것으로 기대된다.