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    Evaluation of suitable REDD+ site based on Multple-Criteria Decision Analysis (MCDA)

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    https://www.riss.kr/link?id=A109107637

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

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    In this study, the deforestation and forest degradation areas in Paraguay have been obtained using a land cover map (LCM) and a tree cover map (TCM) to estimate the CO2 potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. The priority of candidate lands for REDD+ project was selected by applying a multiple criteria decision-making method. This method was used to select the regions having high CO2 potential reduction for the deforestation and forest degradation areas. The areas of deforestation and forest degradation from 2000 to 2015 were 2,517,633ha and 107,891ha respectively. By adminleve 2, General Eugenio A. Garay had the highest among the area of deforestation with 361,674ha while Villa Ygatimi had the highest in the area of forest degradation with 12,949ha AHP importance analysis showed that the business was 0.52 (0.37 for Ratio of Deforestation area, 0.35 for Ratio of Forest degradation area, 0.28 for CO₂ potential reduction), and Topography was 0.23 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the Accessibility was 0.25 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Central and the water body were selected as the preferred locations for the REDD+ candidate region for the deforestation and forest degradation.
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    In this study, the deforestation and forest degradation areas in Paraguay have been obtained using a land cover map (LCM) and a tree cover map (TCM) to estimate the CO2 potential reduction and the strength of occurrence was evaluated by using the geos...

    In this study, the deforestation and forest degradation areas in Paraguay have been obtained using a land cover map (LCM) and a tree cover map (TCM) to estimate the CO2 potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. The priority of candidate lands for REDD+ project was selected by applying a multiple criteria decision-making method. This method was used to select the regions having high CO2 potential reduction for the deforestation and forest degradation areas. The areas of deforestation and forest degradation from 2000 to 2015 were 2,517,633ha and 107,891ha respectively. By adminleve 2, General Eugenio A. Garay had the highest among the area of deforestation with 361,674ha while Villa Ygatimi had the highest in the area of forest degradation with 12,949ha AHP importance analysis showed that the business was 0.52 (0.37 for Ratio of Deforestation area, 0.35 for Ratio of Forest degradation area, 0.28 for CO₂ potential reduction), and Topography was 0.23 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the Accessibility was 0.25 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Central and the water body were selected as the preferred locations for the REDD+ candidate region for the deforestation and forest degradation.

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