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Factors Affecting the Vertical Distribution of Silicon in Paddy Soils in Mid-subtropical China

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成果类型:
期刊论文
作者:
Zhang, Pengbo;Ouyang, Ningxiang*;Wei, Xiao;Zhang, Yangzhu;Hu, Bifeng;...
通讯作者:
Ouyang, Ningxiang;Wei, X;Ouyang, NX
作者机构:
[Wei, X; Wei, Xiao; Zhang, Pengbo; Ouyang, Ningxiang; Ouyang, NX; Lu, Zhaoyan] Hunan Univ Finance & Econ, Changsha 410205, Peoples R China.
[Wei, X; Wei, Xiao; Zhang, Pengbo; Lu, Zhaoyan] Hunan Econ Geog Technol Dev Co Ltd, Changsha 410205, Peoples R China.
[Ouyang, NX; Zhang, Pengbo; Zhang, Jiachao; Zhang, Yangzhu; Ouyang, Ningxiang] Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China.
[Hu, Bifeng; Xie, Modian] Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Dept Land Resource Management, Nanchang 330013, Peoples R China.
[Hu, Bifeng] Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applica, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China.
通讯机构:
[Ouyang, NX ; Wei, X ; Ouyang, NX] H
Hunan Univ Finance & Econ, Changsha 410205, Peoples R China.
Hunan Econ Geog Technol Dev Co Ltd, Changsha 410205, Peoples R China.
Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China.
语种:
英文
关键词:
Available silicon;Parent material;Machine learning;Plough layer;Subsurface layer
期刊:
Silicon
ISSN:
1876-990X
年:
2023
卷:
15
期:
17
页码:
7477-7487
基金类别:
This work was supported by Hunan Provincial Base for Scientific and Technological Innovation Cooperation, China under Grant 2018WK4013, the Key Research and Development Program of Hunan Province, China under Grant 2019WK2031, Study on soil remediation and improvement of agricultural land with biomass power plant waste ash (GSKJ2-P05-2021), Open funding of the Key Laboratory of Environment Remediation and Ecological Health (Zhejiang University), and Ministry of Education (EREH202206), the Science and Technology Project of the Department of Education of Jiangxi Province (No. GJJ190256).
机构署名:
本校为通讯机构
院系归属:
资源环境学院
摘要:
Silicon can promote rice growth and reduce the toxicity of heavy metals in rice. However, controlling factors for the vertical distribution of silicon in typical paddy soils in mid-subtropical regions of China remain largely unexplored. Here, we aimed to analyze the silicon content in plough and subsurface layers derived from six parent materials in Hunan Province (southern China) based on 62 soil profile samples. Multiple stepwise regression, random forest, and gradient boosting machine learning models were used and compared to predict soil available silicon content and quantify the contribut...

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