干旱区生态环境知识资源中心(Arid): Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China

Arid

DOI	10.1016/j.scitotenv.2022.155479
	Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China
	Qin, Gexia; Meng, Zhiyuan; Fu, Yang
通讯作者	Fu, Y
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2022
卷号	834
英文摘要	Revegetation is accelerating globally because of its benefits in terms of ecosystem restoration, desertification prevention, and warming mitigation. The Yellow River Basin (YRB), as an ecological barrier in northern China, has implemented revegetation projects (such as the 'Grain for Green' program) for over two decades. However, a consensus on whether a significant change in greenness has been achieved and to what extent have environmental factors contributed to this change, as well as their importance ranking, is lacking. Leaf area index (LAI) is a critical indicator for estimating global greenness and projecting the dynamics of climate change. Herein, we apply four methods (Geodetector, random forest, multiple linear regression, and structural equation models) to explore the contribution of different environmental factors to greenness using the LAI in the YRB. We found that greenness has been increasing (greening over 67.22% (p < 0.05; 47.7%) of the YRB) with great spatial heterogeneity in the entire basin since 2000. Specifically, the greening process differed with elevation and slope. Temperature vegetation dryness index (TVDI) and water-use efficiency (WUE) dominated the greening; however, the three subregions evaluated revealed differing performance. In the upstream region, LAI increased by 0.031 y(-1). The primary positive factors of greening change were WUE and the annual highest value of daily minimum temperature; the negative factors were TVDI and the highest number of consecutive days when precipitation <1 mm. In the midstream region, LAI increased by 0.025 y(-1); greenness was mainly affected by the negative interaction of TVDI and the positive interaction of WUE. Annual maximum consecutive 5-day precipitation and annual count when daily minimumtemperature < 0 degrees C had a great indirect impact on greenness, mainly through TVDI and WUE. In the downstream region, LAI increased by 0.045 y(-1), and the main driving factors were the annual lowest value of daily minimum temperature with a negative influence and the annual lowest value of daily maximum temperature with a positive influence. In addition, we found that the effect of the interaction of any two driving factors on greenness was greater than or equal to the single effect of a driving factor. This study concludes that drought and WUE are important predictors to evaluate the greenness in arid and semi-arid regions. We emphasise that the selection and assessment of greenness factors should follow a scientific and rigorous process rather than experience, and increased attention should be paid to the interaction of multiple factors. Furthermore, the perspective of system analysis will deepen our understanding of vegetation change in a vulnerable ecosystem.
英文关键词	Greenness Attribution detection Random forest regression Structural equation model Yellow River basin
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000822634500014
WOS关键词	LOESS PLATEAU ; CLIMATE-CHANGE ; VEGETATION ; REGION ; INDEX ; PRECIPITATION ; POPULATION ; RESPONSES ; EROSION ; WORLD
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394378
推荐引用方式 GB/T 7714	Qin, Gexia,Meng, Zhiyuan,Fu, Yang. Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China[J],2022,834.
APA	Qin, Gexia,Meng, Zhiyuan,&Fu, Yang.(2022).Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China.SCIENCE OF THE TOTAL ENVIRONMENT,834.
MLA	Qin, Gexia,et al."Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China".SCIENCE OF THE TOTAL ENVIRONMENT 834(2022).