농업 경관에서 전자토양도 기법을 이용한 토양탄소 저장량 예측 및 경제적 가치평가 = Spatial Prediction and Economic Evaluation of Soil Carbon Stocks Using Digital Soil Mapping in an Agricultural Landscape

다국어 초록 (Multilingual Abstract)

Among soil ecosystem services, there is growing interest in soil carbon storage that provides climate regulation functions. This study estimated the amount of soil carbon stocks using digital soil mapping and the 1:25,000 soil map in an agricultural landscape and conducted economic evaluation of them. The random forest model (0.91kg/m2) showed better results than the method using the soil map (1.77kg/m2) based on the mean squared error. In estimating soil carbon stocks using random forest, important variables such as distance to the coast, elevation, silt content, distance to river, clay content, sand content and curvature were selected in order. The amount of soil carbon stocks in the cropland of Jindo was estimated to be about 370,000 tons (random forest) and about 490,000 tons (soil map). The value of soil carbon stocks in the cropland of Jindo considering the carbon market price was estimated to be about 8.1 billion won. This study is expected to be used as a basic study for decision making related to various soil environmental policies such as climate change and sustainable soil management.

국문 초록 (Abstract)

토양 생태계서비스 중에서 기후변화를 완화할 수 있는 기후조절 기능을 제공하는 토양탄소 저장에 대한 관심이 높아지고 있다. 본 연구는 전자토양도 기법(랜덤포레스트)과 1:25,000 토양도를 이용하여 농경지의 토양탄소 저장량을 추정하고, 이에 대한 경제성 평가를 실시하였다. 모형의 검증결과에서 평균 제곱 오차를 기준으로 했을 때 랜덤포레스트 모형(0.91kg/m2)이 토양도를 이용한 예측방식(1.77kg/m2)보다 나은 결과를 보였다. 랜덤포레스트를 이용한 토양탄소 저장량 예측에서 해안과의 거리, 고도, 실트함량, 하천과의 거리, 점토함량, 모래함량, 곡면률 순으로 중요한 변수가 선택되었다. 진도군 농경지의 토양탄소 저장량은 두 방식을 적용했을 때 각각 약 37만 톤(랜덤포레스트)과 약 49만 톤(토양도)으로 추정된다. 탄소시장 가격을 고려한 진도군 농경지의 토양탄소 저장량의 가치는 약 81억 원으로 추정된다. 본 연구는 기후변화와 지속가능한 토양관리 등 다양한 토양환경 정책과 관련된 의사결정에 필요한 기초연구로 활용될 수 있을 것으로 기대된다.

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