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Digital mapping of cultivated land soil organic matter in hill-mountain and plain regions

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成果类型:
期刊论文
作者:
Xie, Hongxia;Li, Weiyou;Duan, Liangxia;Yuan, Hong;Zhou, Qing*;...
通讯作者:
Zhou, Qing;Du, HH
作者机构:
[Xie, Hongxia; Zhou, Qing; Du, HH; Zhou, Q; Yuan, Hong; Li, Weiyou; Luo, Zhe; Du, Huihui; Duan, Liangxia] Hunan Agr Univ, Coll Resources & Environm, Changsha 410127, Peoples R China.
[Luo, Zhe] Dept Agr & Rural Affairs Hunan Prov, Soil & Fertilizer Workstn, Changsha 410127, Peoples R China.
通讯机构:
[Du, HH ; Zhou, Q] H
Hunan Agr Univ, Coll Resources & Environm, Changsha 410127, Peoples R China.
语种:
英文
关键词:
Soil organic matter;Spatial prediction;Digital soil mapping;Sampling density optimization;Random forest
期刊:
Journal of Soils and Sediments
ISSN:
1439-0108
年:
2024
卷:
24
期:
1
页码:
349-360
基金类别:
Basic Work of the Ministry of Science and Technology of China, 2014FY110200, Qing Zhou
机构署名:
本校为第一且通讯机构
院系归属:
资源环境学院
摘要:
Purpose Spatial prediction of soil organic matter (SOM) in cultivated land is crucial for evaluating soil productivity and its role in terrestrial carbon cycling. Cultivated soils in mountainous regions are commonly scattered on the footslope whereas those in the plain regions are continuously planar distributed; hence, they are quite different in the degree of variation in soil-forming factors and thereby the soil properties including SOM. Materials and methods In this study, we used the digital soil mapping approach (DSM) to predict SOM (0-20 cm) in cultivated soils in a hill-mountain region...

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