干旱区生态环境知识资源中心(Arid): Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran

Arid

DOI	10.1016/j.measurement.2022.111706
	Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran
	Mousavi, Seyed Roohollah; Sarmadian, Fereydoon; Omid, Mahmoud; Bogaert, Patrick
通讯作者	Sarmadian, F
来源期刊	MEASUREMENT
ISSN	0263-2241
EISSN	1873-412X
出版年	2022
卷号	201
英文摘要	This study focus on modeling and mapping soil organic carbon (SOC) at high spatial resolution and at four standard depths in an arid and semi-arid region of Iran. The SOC data includes 850 soil samples collected from 278 observation profiles. In parallel, a wide range of environmental covariates (n = 62) were obtained from multiple sources. Six individual machine learning (ML) algorithms were compared to modeling and predicting SOC. Two scenarios were investigated. The first one accounts for soil and environmental covariates (S1) while the second one only accounts for environmental covariates (S2). Our results show that accounting for soil variables in the prediction (S1) leads to a twofold increase of R2 for all ML algorithms, while random forest (RF) outperformed the other ML approaches at all depths. Whenever possible, using additionally the soil variables that are at hand in a study area is thus beneficial for improving SOC predictions.
英文关键词	Soil organic carbon Digital soil mapping Partial dependency Machine learning Hybridization
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000850027100004
WOS关键词	DEPTH FUNCTIONS ; RANDOM FORESTS ; STOCKS ; REGRESSION ; MATTER ; ALGORITHM ; PREDICT ; SOC
WOS类目	Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS研究方向	Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393768
推荐引用方式 GB/T 7714	Mousavi, Seyed Roohollah,Sarmadian, Fereydoon,Omid, Mahmoud,et al. Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran[J],2022,201.
APA	Mousavi, Seyed Roohollah,Sarmadian, Fereydoon,Omid, Mahmoud,&Bogaert, Patrick.(2022).Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran.MEASUREMENT,201.
MLA	Mousavi, Seyed Roohollah,et al."Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran".MEASUREMENT 201(2022).