干旱区生态环境知识资源中心(Arid): Revealing the scale- and location-specific variation and control factors of soil salinity using bi-dimensional empirical modal decomposition

Arid

DOI	10.1002/ldr.4398
	Revealing the scale- and location-specific variation and control factors of soil salinity using bi-dimensional empirical modal decomposition
	Zhu, Chuanmei; Ding, Jianli; Zhang, Zipeng
通讯作者	Ding, JL
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2022
卷号	33 期号:17 页码:3446-3460
英文摘要	The key to saline land management and soil salinity control is to clarify the dynamics of soil salinity and the characteristics of environmental factors. However, due to the high heterogeneity of soil salinity, the influence of environmental factors on soil salinity variation at specific scales and locations is still unclear. The purpose of this study is to reveal the variability characteristics and controlling factors of soil salinity in the Wei-Ku Oasis during different seasons. One hundred and eighty-two topsoil samples (0-20 cm) were acquired during the irrigation and non-irrigation seasons (IRRS and NIRRS) in the study area. This study predicted soil surface salinity at 90 m spatial resolution from randomForest (RF) models and measured data. Based on the mapping, a bi-dimensional empirical modal decomposition (BEMD) algorithm was applied to extract the variation of the soil salinity at different scales and locations in the IRRS and NIRRS. Subsequently, correlation analysis, semi-variance functions, and redundancy analysis were applied to dissect the correlation and main control factors between soil salinity and the environment at three different scales. The results indicated that soil salinity was greater in the NIRRS at the Weiku Oasis. Soil salinity was decomposed into five intrinsic modal functions with spatial variability scales of 6.20-50.61 km and 7.93-50.18 km during the IRRS and NIRRS, respectively. The relationships between environmental factors and soil salinity were scale- and location-specific, suggesting a complex interrelationship between topography, temperature, vegetation cover, and soil salinity. The normalized difference vegetation index was found to be the main factor affecting small-scale seasonal variation in soil salinity, whereas the large-scale spatial distribution of soil salinity was most affected by evapotranspiration and temperature. These findings highlight the effectiveness of BEMD in revealing the scale and location control of soil salinity.
英文关键词	environmental factors irrigation multiscale analysis redundancy analysis soil salinization
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000860179100001
WOS关键词	WET SEASONS ; VARIABILITY ; CONDUCTIVITY ; XINJIANG ; OASIS ; DRY
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393728
推荐引用方式 GB/T 7714	Zhu, Chuanmei,Ding, Jianli,Zhang, Zipeng. Revealing the scale- and location-specific variation and control factors of soil salinity using bi-dimensional empirical modal decomposition[J],2022,33(17):3446-3460.
APA	Zhu, Chuanmei,Ding, Jianli,&Zhang, Zipeng.(2022).Revealing the scale- and location-specific variation and control factors of soil salinity using bi-dimensional empirical modal decomposition.LAND DEGRADATION & DEVELOPMENT,33(17),3446-3460.
MLA	Zhu, Chuanmei,et al."Revealing the scale- and location-specific variation and control factors of soil salinity using bi-dimensional empirical modal decomposition".LAND DEGRADATION & DEVELOPMENT 33.17(2022):3446-3460.