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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:
accuracy assessment;digital mapping;mountain region;optimization;prediction;sampling;soil organic matter;spatial analysis;China
期刊:
Journal of Soils and Sediments
ISSN:
1439-0108
年:
2024
卷:
24
期:
1
页码:
349-360
基金类别:
This work was financially supported by the Basic Work of the Ministry of Science and Technology of China (Grant No. 2014FY110200), the Key Project of Education Department of Hunan Province China (Grant No. 19A242), and the Research Found of Hunan Province Environmental Protection (No. 15, 2022).
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–...

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