干旱区生态环境知识资源中心(Arid): Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China

Arid

DOI	10.1016/j.ecolind.2023.111260
	Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China
	Wang, Wei; Luo, Yi; Wang, Xiaolei; Sun, Lin
通讯作者	Luo, Y
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2023
卷号	157
英文摘要	Over the last few decades, vegetation-soil water interactions in the semiarid middle Yellow River basin have been a topic of interest for many researchers, especially since the implementation of the Grain-to-Green Project (GTGP) in 1999. The probabilistic states of soil water and water stress on vegetation development provide interactions from a perspective that is different from process-based modelling approaches. The Laio's model, a widely used probabilistic soil water model was applied in the study. To include the infiltration-excess runoff, coexist with the saturation-excess runoff, or even be dominant in the study region, a parameter Delta 2 was incorporated to reflect mean surface runoff of a rainfall event under current theoretical framework of Laio's model. The modified model was evaluated against the observations, and the effectiveness of the modification was proved in the study region. Based on the modified model, the soil water response to vegetation restoration was studied with remote-sensing based land use and leaf area index in the 2000 s and 2010 s. Vegetation was restored in most parts of the region, resulting in soil water reduction in approximately 83 % of the area, and the soil water stress increased by 49 % on average. The reduction in soil water and increase in soil water stress were more serious in areas that had converted vegetation and loess soil than those had non-converted vegetation and non-loess soil. These findings might imply that vegetation greening will reach an upper limit due to the negative soil water balance and increased water stress on plant growth, which is meaningful for a better understanding of vegetation-soil water interactions and ecosystem management in semi-arid regions.
英文关键词	Vegetation -soil water interactions Probabilistic soil water model Infiltration -excess runoff Saturation -excess runoff Yellow River basin
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:001119861900001
WOS关键词	LOESS PLATEAU ; CONTROLLED ECOSYSTEMS ; HYDROLOGIC PROCESSES ; MOISTURE DYNAMICS ; ACTIVE-ROLE ; ROBINIA-PSEUDOACACIA ; LAND-USE ; CLIMATE ; STRESS ; PLANTS
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395982
推荐引用方式 GB/T 7714	Wang, Wei,Luo, Yi,Wang, Xiaolei,et al. Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China[J],2023,157.
APA	Wang, Wei,Luo, Yi,Wang, Xiaolei,&Sun, Lin.(2023).Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China.ECOLOGICAL INDICATORS,157.
MLA	Wang, Wei,et al."Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China".ECOLOGICAL INDICATORS 157(2023).