干旱区生态环境知识资源中心(Arid): Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil-Land Inference Model

Arid

DOI	10.3390/agronomy13123074
	Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil-Land Inference Model
	Gao, Shenghan; Wang, Xinjun; Xu, Shixian; Su, Tong; Yang, Qiulan; Sheng, Jiandong
通讯作者	Wang, XJ
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2023
卷号	13 期号:12
英文摘要	Soil salinization can decrease soil productivity and is a significant factor in causing land degradation. Precision mapping of salinization in agricultural fields would improve farmland management. This study focuses on the cropland in the Manas River Basin, located in the arid region of northwest China. It explores the potential of a soil mapping method, the Soil-Land Inference Model (SoLIM), which only requires a small number of soil samples to infer soil salinization of farmlands in arid areas. The model was utilized to create spatial distribution maps of soil salinity for the years 2009 and 2017, and changes in the distribution were analyzed. The research results indicate: (1) Through the analysis of sample point data, it was observed that soil salinity in the study area tends to accumulate in the surface layer (0-30 cm) in spring and in the subsoil layer (60-90 cm) during the crop growing season, with significant spatial variability. Therefore, it is necessary to conduct detailed salinity mapping. (2) Using field measurements as validation data, the simulation results of the SoLIM were compared with spatial interpolation methods and regression models. The SoLIM showed higher inference accuracy, with R2 values for the simulation results of the three soil layers all exceeding 0.5. (3) The SoLIM spatial inference showed salt accumulation in the northern part and desalination in the southern part. The findings of this study suggest that the SoLIM has the potential to effectively map soil salinization of croplands in arid areas, offering an efficient solution for monitoring soil salinity in arid oasis croplands.
英文关键词	soil salinization digital soil mapping SoLIM model applicability evaluation arid region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001131105000001
WOS关键词	MANAS RIVER-BASIN ; SPATIAL PREDICTION ; REGRESSION ; XINJIANG ; CHINA ; OASIS ; WATER ; SALT ; SALINIZATION ; MOISTURE
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395255
推荐引用方式 GB/T 7714	Gao, Shenghan,Wang, Xinjun,Xu, Shixian,et al. Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil-Land Inference Model[J],2023,13(12).
APA	Gao, Shenghan,Wang, Xinjun,Xu, Shixian,Su, Tong,Yang, Qiulan,&Sheng, Jiandong.(2023).Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil-Land Inference Model.AGRONOMY-BASEL,13(12).
MLA	Gao, Shenghan,et al."Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil-Land Inference Model".AGRONOMY-BASEL 13.12(2023).