干旱区生态环境知识资源中心(Arid): Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions

Arid

DOI	10.1016/j.catena.2023.107392
	Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions
	Mousavi, Seyed Roohollah; Sarmadian, Fereydoon; Angelini, Marcos Esteban; Bogaert, Patrick; Omid, Mahmoud
通讯作者	Sarmadian, F
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2023
卷号	232
英文摘要	Predicting soil properties and evaluating their functions along with their related driving factors is useful for providing useful geographical information for soil management, which is especially important in arid and semiarid regions. This study investigates the use of a structural equation modeling (SEM) approach for assessing the effects of soil forming factors through environ-mental proxies on three key soil properties, namely soil organic carbon (SOC), calcium carbonate equivalent (CCE) and clay content (clay) in an arid and semi-arid region of Iran. Using a set of 259 soil profiles collected over years 2016-2020 in the Qazvin plain, the cause-effect relationships were estimated between these soil properties and nine environmental factors derived from a digital elevation model and from satellite images. Focusing on two main horizons A and B, it was shown that normalized difference vegetation index, midslope position, elevation, multi-resolution valley bottom flatness, and saga wetness index are impacting these soil properties. Inside each horizon, the effect of CCE and clay on SOC was also evidenced, but to an extent that depends on the horizon. For each soil property, we were able to clearly identify the relationships between the two horizons. Although our SEM approach proved to be useful for identifying and estimating the cause-effect relationships, it failed to provide a good predictive model as required for a relevant digital soil mapping of these soil properties. However, as the SEM approach allows combining soil science knowledge inside a model that accounts for soil forming factors, external factors, and soil system at the same time, it permits an investigation of their potential cause-effect relationships in a rich theoretical framework. The SEM methodology is thus potentially useful for soil scientists that are studying various soil properties in other parts of the world, even if it cannot be advocated as an efficient digital soil mapping method in general.
英文关键词	Multivariate analysis Modification method Soil system Environmental covariates Conceptual model
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001046981300001
WOS关键词	ORGANIC-MATTER POOLS ; SPATIAL-DISTRIBUTION ; NITROGEN MINERALIZATION ; CARBON ; PREDICTION ; SCALE ; STABILIZATION ; TEXTURE ; CROP
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395705
推荐引用方式 GB/T 7714	Mousavi, Seyed Roohollah,Sarmadian, Fereydoon,Angelini, Marcos Esteban,et al. Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions[J],2023,232.
APA	Mousavi, Seyed Roohollah,Sarmadian, Fereydoon,Angelini, Marcos Esteban,Bogaert, Patrick,&Omid, Mahmoud.(2023).Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions.CATENA,232.
MLA	Mousavi, Seyed Roohollah,et al."Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions".CATENA 232(2023).