Evaluation of Suitable REDD+ Sites Based on Multiple-Criteria Decision Analysis (MCDA): A Case Study of Myanmar
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In this study, the deforestation and forest degradation areas have been obtained in Myanmar using a land cover lamp (LCM) and a tree cover map (TCM) to get the CO2 potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. By applying a multiple criteria decision-making method to the regions having high strength of occurrence for the CO2 potential reduction for the deforestation and forest degradation areas, the priority was selected for candidate lands for REDD+ project. The areas of deforestation and forest degradation were 609,690ha and 43,515ha each from 2010 to 2015. By township, Mong Kung had the highest among the area of deforestation with 3,069ha while Thlangtlang had the highest in the area of forest degradation with 9,213 ha. The number of CO2 potential reduction hotspot areas among the deforestation areas was 15, taking up the CO2 potential reduction of 192,000 ton in average, which is 6 times higher than that of all target areas. Especially, the township of Hsipaw inside the Shan region had a CO2 potential reduction of about 772,000 tons, the largest reduction potential among the hotpot areas. There were many CO2 potential reduction hot spot areas among the forest degradation area in the eastern part of the target region and has the CO2 potential reduction of 1,164,000 tons, which was 27 times higher than that of the total area. AHP importance analysis showed that the topographic characteristic was 0.41 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the geographical characteristic was 0.59 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Yawunghwe, Kalaw, and Hsi Hseng were selected as the preferred locations for the REDD+ candidate region for the deforestation area while Einme, Tiddim, and Falam were selected as the preferred locations for the forest degradation area.
Abstract
In this study, the deforestation and forest degradation areas have been obtained in Myanmar using a land cover lamp (LCM) and a tree cover map (TCM) to get the CO2 potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. By applying a multiple criteria decision-making method to the regions having high strength of occurrence for the CO2 potential reduction for the deforestation and forest degradation areas, the priority was selected for candidate lands for REDD+ project. The areas of deforestation and forest degradation were 609,690ha and 43,515ha each from 2010 to 2015. By township, Mong Kung had the highest among the area of deforestation with 3,069ha while Thlangtlang had the highest in the area of forest degradation with 9,213 ha. The number of CO2 potential reduction hotspot areas among the deforestation areas was 15, taking up the CO2 potential reduction of 192,000 ton in average, which is 6 times higher than that of all target areas. Especially, the township of Hsipaw inside the Shan region had a CO2 potential reduction of about 772,000 tons, the largest reduction potential among the hotpot areas. There were many CO2 potential reduction hot spot areas among the forest degradation area in the eastern part of the target region and has the CO2 potential reduction of 1,164,000 tons, which was 27 times higher than that of the total area. AHP importance analysis showed that the topographic characteristic was 0.41 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the geographical characteristic was 0.59 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Yawunghwe, Kalaw, and Hsi Hseng were selected as the preferred locations for the REDD+ candidate region for the deforestation area while Einme, Tiddim, and Falam were selected as the preferred locations for the forest degradation area.
참고문헌 (20)
- Methodology for REDD Avoiding Planned Deforestation, "American Carbon Registry", American Carbon Registry, ~ (2010)
- Trends in the forest carbon market and new opportunities for forest management, "Bae JS", KREI, 523~557, pp.E04-2013 (2013)
- 배재수, "한국의 REDD+ 협력 국가 선정 :산림률과 산림전용률을 기준으로", 한국국제농업개발학회지, 24(4), pp.397~403 (2012), 한국국제농업개발학회
- Bhagwat T, "Losing a jewel-Rapid declines in Myanmar's intact forests from 2002-2014", PLoS One, 12, pp.e0176364~ (2017)
- Global forest resources assessment 2015, "FAO", Food and Agriculture Organization, 7~ (2015)
- Fuller DO, "Spatial assessment of threats to biodiversity within East Kalimantan, Indonesia", Appl Geogr, 30, pp.416~425 (2010)
- 조현우, "핫스팟 분석을 통한 거창지역의 선구조선과 진앙의 상관관계 분석", 대한원격탐사학회지, 33(5), pp.469~480 (2017), 대한원격탐사학회
- 김대관, "AHP를 활용한 관광자원개발사업 평가 : 계획단계 사업을 중심으로", 관광연구저널, 21(4), pp.5~18 (2007), 한국관광연구학회
- Korea Forest Service, "REDD+ Textbook", pp.23~25 (2014), Korea Forest Service
- 이정훈, "공간통계기법을 이용한 토지피복변화의 핫스팟 탐지", 대한원격탐사학회지, 27(5), pp.601~611 (2011), 대한원격탐사학회
- Site selection for forest carbon projects, "Lin L", Center for International Forestry Research(CIFOR), 209~232 (2012)
- Lin L, "Targeting areas for Reducing Emissions from Deforestation and forest Degradation(REDD+)projects in Tanzania", Glob Environ Change, 24, pp.277~286 (2013)
- 박진우, "Prediction of Land Use", Land Cover Change in Forest Area Using a Probability Density Function, 2017, pp.33(4), 305~314[DOI]
- 박정묵, "일본 REDD+의 국가 전략 및 시사점 − 양국간 크레딧 메커니즘(JCM)을 중심으로 −", 한국산림과학회지, 105(2), pp.238~246 (2016), 한국산림과학회[DOI]
- Understanding of the UNFCCC REDD+ Mechanism and Prospect of REDD+ Negotiations, "Seok HD", Korea Rural Economic Institute, 144~, pp.Policy Research Report - P127 (2010)
- Mohommad Shahid, "Relationship between Tree Species Diversity and Carbon Stock Density in Moist Deciduous Forest of Western Himalayas, India", Journal of forest and environmental science, 33(1), pp.39~48 (2017), 산림과학연구소
- Sin YG., "R&D Prioritization for Nuclear Power Plant Operation Using the Analytical Hierarchy Process", pp.2003
- Strassburg BBN, "Biophysical suitability, economic pressure and land-cover change : a global probabilistic approach and insights for REDD+", Sustain Sci, 9, pp.129~141 (2013)
- Tanaka R., "Incorporating carbon and biodiversity based on topographic heterogeneity for REDD suitability analysis: a case study of the Central Highlands, Vietnam", MS, pp.2014
- Methodology for Imple mentation of REDD+ Activities in Landscapes Affected By Mosaic Deforestation and Degradation, "Verified Carbon Standard(VCS)", Verra, 7~ (2017)