연구논문(硏究論文) : 경관지수 패턴 분석을 이용한 산지개발사업의 산림파편화 영향범위 예측

지승용 ( Seung Yong Ji ),최재용 ( Jaeyong Choi ),이상혁 ( Sang Hyuk Lee ),이상훈 ( Peter Sang Hoon Lee ) 한국환경복원기술학회(구 한국환경복원녹화기술학회) 2016 한국환경복원기술학회지 Vol.19 No.2

In South Korea the need of sustainably managing development on forest lands has required to develop a new approach to estimating environmental impacts on forest surrounding development sites in a scientific manner. As for forest-related development, two types of development were selected: golf courses and industrial complexes. Using Fragstats 4.2, the fragmentation effects and patterns of each type by forest area within project sites and buffer zones ranging from the outside of project sites up to 2,000 meters were analyzed. As a result, golf courses were strongly related to a group of fragmentation indexes: CA, NP, PD, TE, LSI, TCA, NDCA and CONNECT, whereas industrial complexes were associated with CA, NP, PD, TE, LSI and CONNECT. Among them, NP, LSI, TCA and NDCA of golf courses were considered as representative indexes reflecting the average impact ranges of each sub-group by forest area, and focussing on the size of core areas. In the case of industrial complexes, PD, TE and LSI were the representatives, vulnerable to the composition of given landscape. For two case studies, one for golf courses and the other for industrial complexes, they showed there existed a difference between the average of a group and the individual results. Therefore, to minimize the variations in impact range within a group, it is needed to analyze more individual cases. This study proved there was a distinction between project types in terms of the range of environmental impact. To effectively and comprehensively manage forest development, further research on analyzing other development types related to forests with more cases is needed.

연구논문(硏究論文) : 산림지역 분류를 위한 SPOT-5 및 KOMPSAT-2 영상의 감독분류 적용성

최재용 ( Jae Yong Choi ),이상혁 ( Sang Hyuk Lee ),이솔애 ( Sol Ae Lee ),지승용 ( Seung Yong Ji ),이상훈 ( Sang Hoon Lee ) 한국환경복원기술학회 2015 한국환경복원기술학회지 Vol.18 No.2

In order to effectively manage forested areas in South Korea on a national scale, using remotely sensed data is considered most suitable. In this study, utilizing Land coverage maps and Forest type maps of national geographic information instead of collecting field data was tested for conducting supervised classification on SPOT-5 and KOMPSAT-2 imagery focusing on forested areas. Supervised classification were conducted in two ways: analysing a whole area around the study site and/or only forested areas around the study site, using Support Vector Machine. The overall accuracy for the classification on the whole area ranged from 54.9% to 68.9% with kappa coefficients of over 0.4, which meant the supervised classification was in general considered moderate because of sub-classifying forested areas into three categories (i.e. hardwood, conifer, mixed forests). Compared to this, the overall accuracy for forested areas were better for sub-classification of forested areas probably due to less distraction in the classification. To further improve the overall accuracy, it is needed to gain individual imagery rather than mosaic imagery to use more spetral bands and select more suitable conditions such as seasonal timing. It is also necessary to obtain precise and accurate training data for sub-classifying forested areas. This new approach can be considered as a basis of developing an excellent analysis manner for understanding and managing forest landscape.

훼손지 유형에 따른 생태복원 평가방법 개발

최재용 ( Jae Yong Choi ),이상혁 ( Sang Hyuk Lee ),이솔애 ( Sol Ae Lee ),지승용 ( Seung Yong Ji ),이상훈 ( Sang Hoon Lee ) 한국환경복원기술학회 2016 한국환경복원기술학회지 Vol.19 No.1

It was required to evaluate ecological restorations in a comprehensive way in order to systematically manage conservation areas such as DMZ and national parks in South Korea. In this research we developed a new approach to evaluating ecological restorations with more various indexes than vegetation covering-related indexes. By analyzing damaged areas in the vicinity of DMZ, major damaged types were identified as six classes: landform modification, surface loss, soil pollution, soil physio-chemical modification, vegetation decline and vegetation damaged. From literature review, 39 indexes were selected and were grouped into four divisions: soil property, vegetation growth & structure, habitat property and landscape structure & functions. By conducting a survey with the selected indexes targeting relevant experts, data on relative importance among the divisions and indexes by damaged type were collected. As a result, it was found that the orders and values of weighted values of the divisions were different by damaged type: for example, soil property (0.402), vegetation growth & structure (0.209), habitat property (0.225), landscape structure & function (0.163) for “landform modification”; but soil property (0.171), vegetation growth & structure (0.401), habitat property (0.270), landscape structure & function (0.158) for “vegetation decline”. Similarly, evaluation indexes showed different orders and values of relative importance, easiness in field measurement and representativeness for the division by damaged type, and the values were used for calculating importance factor for each index. In the evaluation table, score1 and score2 were made by the importance factors of indexes multiplied by distribution values which present grades and by the weighted values of divisions. In conclusion, while dealing with the damaged type was considered significant for evaluating and managing restorations, further tests on this table with a range of cases were needed to improve its quality.

기후변화 시나리오 앙상블을 통한 오미자의 재배적지 변화 예측

이솔애 ( Sol Ae Lee ),이상혁 ( Sang-hyuk Lee ),지승용 ( Seung-yong Ji ),최재용 ( Jaeyong Choi ) 한국환경영향평가학회 2016 환경영향평가 Vol.25 No.1

Predicting possible distributed area of Schisandra chinensiswhich has long term cultivation period among non-timber forest products is needed to be studied to deal with climate change. Hence, distribution of Schisandra chinensis in the 2050s and 2070s was predicted under two scenario, RCP 4.5 and RCP 8.5, with ensemble of 5 climate models used in IPCC AR5. According to estimation using RCP 4.5, distribution of Schisandra chinensis in 2050s appeared to decrease 43% of current area and appeared to decrease 57% in 2070s respectively. Moreover, According to estimation using RCP 8.5, distribution of Schisandra chinensis in 2050s appeared to decrease 55% of current area and appeared to decrease 85% in 2070s. As a final outcome, Schisandra chinensiswas estimated to extinct in the future except Gangwon-do and Gyeongsangbuk-do when analyzing change between current distributed area and future distributed area. As a result, those areas were classified as vulnerable areas to climate change. Therefore, Gangwon-do and Gyeongsangbuk-do were thought to be ideal for growing Schisandra chinensis. The result from this study can be used to provide basic information for selecting proper area of Schisandra chinensis considering climate change effect.

기후변화 영향에 따른 호두나무 재배지역 변화 예측

이상혁 ( Sang Hyuk Lee ),이상훈 ( Peter Sang-hoon Lee ),이솔애 ( Sol Ae Lee ),지승용 ( Seung Yong Ji ),최재용 ( Jae Yong Choi ) 한국농림기상학회 2015 한국농림기상학회지 Vol.17 No.4

본 연구에서는 호두나무에 대하여 단기임산물 재배적지도를 바탕으로 기후변화를 고려한 전국의 재배가능지역을 MaxEnt 모델을 이용하여 추출하였다. RCP 4.5 및 8.5 시나리오와 HadGEM2-AO모델을 이용하여 2050년대와 2070년대의 기후변화에 따른 재배지역 변화를 예측하였다. 분석결과, 미래의 재배적지면적을 현재수치와 비교하였을 때, RCP 4.5에서는 충청남도, 전라북도, 전라남도에 이르는 우리나라 서쪽 지역이 주로 감소할 것으로 나타났으며, RCP 8.5에서는 경상북도, 경상남도 일부 지역을 중심으로 감소할 것으로 나타났다. 하지만, 평균고도가 600m 이상으로 높은 지역인 강원도는 2070년대 RCP 4.5에서 18.3%, RCP 8.5에서 56.6%가 증가할 것으로 나타나 기후변화의 영향 정도에 따라 전국적으로 재배가능지역의 차이가 있는 것으로 나타났다. 현재 호두 생산량이 가장 많은 지역을 분석한 결과 공주시, 김천시, 영동군은 2070년대에는 RCP 8.5에서 재배지역의 감소가 클 것으로 예상되었으며, 공주시는 RCP 4.5에서 감소폭이 더 큰 것으로 나타났다. 무주군과 천안시는 현재의 재배가능지역이 모든 시나리오에서 유지될 것으로 나타났다. 본 연구의 결과는 미래 기후변화에 따른 영향이 불가피한 상황에서 예상되는 피해를 최소화하고 경쟁력 있는 임산물 생산을 위한 기후변화 영향평가 자료로 활용될 것으로 판단된다. The objective of our study was to predict future cultivation areas for walnut trees (Juglans sinensis), using the cultivation suitability map provided from Korea Forest Service and MaxEnt modelling under future climate conditions. The climate conditions in 2050s and 2070s were computed using the Regional Climate Prediction (RCP) 4.5 and 8.5 scenarios with the HadGEM2-AO model. As a result, compared to the present area, the cultivation area of the western Korea including Chungcheongnamdo, Jeollabuk-do, Jeollanam-do decreased on a national scale under RCP 4.5, and those of Gyeongsangbukdo and part of Gyeongsangnam-do decreased under RCP 8.5. However, Gangwon-do which is located in higher altitude over 600 meters than other regions showed increases in cultivation areas of 18.3% under RCP 4.5 and of 56.6% under RCP 8.5 by 2070s. The predicted map showed large regional variations in the cultivation areas with climate change. From the analysis of current top ranking areas, the cultivation areas in Gimcheon-si and Yeongdong-gun dramatically decreased by 2070s under RCP 4.5 and 8.5; that of Gongju-si decreased more under RCP 4.5; and those of Muju-gun and Cheonan-si sustained the areas by 2070s under both scenarios. The results from this study can be helpful for providing a guide for minimizing the loss of walnut production and proactively improving productivity and quality of walnuts with regard to unavoidable climate change in South Korea.