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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.4
- 발행연도
- 2020.12
- 수록면
- 1,097 - 1,107 (11page)
이용수
초록· 키워드
오류제보하기
Assessment of soil carbon stock is essential for climate change mitigation and soil fertility. The digital soil mapping (DSM) is well known as a general technique to estimate the soil carbon stocks and upgrade previous soil maps. The aim of this study is to calculate the soil carbon stock in the top soil layer (0 to 30 ㎝) in Jeolla Province of South Korea using the DSM technique. To predict spatial carbon stock, we used Cubist, which a data-mining algorithm model base on tree regression. Soil samples (130 in total) were collected from three depths (0 to 10 ㎝, 10 to 20 ㎝, 20 to 30 ㎝) considering spatial distribution in Jeolla Province. These data were randomly divided into two sets for model calibration (70%) and validation (30%). The results showed that clay content, topographic wetness index (TWI), and digital elevation model (DEM) were the most important environmental covariate predictors of soil carbon stock. The predicted average soil carbon density was 3.88 ㎏·m<SUP>-2</SUP>. The R² value representing the model"s performance was 0.6, which was relatively high compared to a previous study. The total soil carbon stocks at a depth of 0 to 30 ㎝ in Jeolla Province were estimated to be about 81 megatons.
목차
Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References
참고문헌 (20)
참고문헌 신청
Adhikari K / 2014 / Digital mapping of soil organic carbon contents and stocks in Denmark / PLOS ONE 9(8):e105519
Batjes NH / 1996 / Total carbon and nitrogen in the soils of the world / European Journal of Soil Science 47:151~163
Brady NC / 2008 / The nature and properties of soils / Pearson prentice hall
Bui E / 2009 / Using knowledge discovery with data mining from the Australian soil resource information system database to inform soil carbon mapping in Australia / Global biogeochemical Cycles 23:GB4033
Florinsky IV / 2002 / Prediction of soil properties by digital terrain modelling / Environmental Modelling and Software 17:295~311
Batjes NH / 1996 / Total carbon and nitrogen in the soils of the world / European Journal of Soil Science 47:151~163
Brady NC / 2008 / The nature and properties of soils / Pearson prentice hall
Bui E / 2009 / Using knowledge discovery with data mining from the Australian soil resource information system database to inform soil carbon mapping in Australia / Global biogeochemical Cycles 23:GB4033
Florinsky IV / 2002 / Prediction of soil properties by digital terrain modelling / Environmental Modelling and Software 17:295~311
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