干旱区生态环境知识资源中心(Arid): Probabilistic assessment of vegetation vulnerability to drought stress in Central Asia

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DOI	10.1016/j.jenvman.2022.114504
	Probabilistic assessment of vegetation vulnerability to drought stress in Central Asia
	Yuan, Ye; Bao, Anming; Jiang, Ping; Hamdi, Rafiq; Termonia, Piet; De Maeyer, Philippe; Guo, Hao; Zheng, Guoxiong; Yu, Tao; Prishchepov, Alexander V.
通讯作者	Bao, AM
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2022
卷号	310
英文摘要	The increasing frequency and intensity of droughts in a warming climate are likely to exacerbate adverse impacts on ecosystems, especially for water-limited regions such as Central Asia. A quantitative understanding of the impacts of drought on vegetation is required for drought preparedness and mitigation. Using the Global Inventory Modeling and Mapping Studies NDVI3g data and Standardized Precipitation Evapotranspiration Index (SPEI) from 1982 to 2015, we evaluate the vegetation vulnerability to drought in Central Asia based on a copula based probabilistic framework and identify the critical regions and periods. Furthermore, a boosted regression trees (BRT) model was also used to explore the relative importance of environmental factors and plant traits on vegetation response to drought. Additionally, we also investigated to what extent irrigation could alleviate the impacts of drought. Results revealed that months from June to September was the critical period when vegetated areas were most vulnerable to drought stress. The probabilities of vegetation loss below 20th quantile under extremely dry in these months were 68.7%, 69.4%, 71.0%, and 67.0%, respectively. Regarding vegetation vulnerable regions, they shifted with different growth stages. During the middle of the growing season, semiarid areas were the most vulnerable regions, whereas the highest drought-vulnerable regions were observed in arid areas during other periods. The BRT results showed that plant traits accounted for a large fraction (58.9%) of vegetation response to drought, which was more important than ambient soil environment (20.8%). The analysis also showed that mitigations from irrigation during July to September were smaller than in other months. The results of this paper provide insight into the influences of drought on vegetation and may contribute to drought mitigation and land degradation measures in Central Asia under accelerating global warming.
英文关键词	Drought SPEI Vegetation vulnerability Copula method Central asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000820966100001
WOS关键词	CLIMATE-CHANGE ; IMPACTS ; DYNAMICS ; RESPONSES ; MODIS ; PRECIPITATION ; GROWTH ; PRODUCTIVITY ; SEASONALITY ; COVER
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/2XILL650/393410
推荐引用方式 GB/T 7714	Yuan, Ye,Bao, Anming,Jiang, Ping,et al. Probabilistic assessment of vegetation vulnerability to drought stress in Central Asia[J],2022,310.
APA	Yuan, Ye.,Bao, Anming.,Jiang, Ping.,Hamdi, Rafiq.,Termonia, Piet.,...&Prishchepov, Alexander V..(2022).Probabilistic assessment of vegetation vulnerability to drought stress in Central Asia.JOURNAL OF ENVIRONMENTAL MANAGEMENT,310.
MLA	Yuan, Ye,et al."Probabilistic assessment of vegetation vulnerability to drought stress in Central Asia".JOURNAL OF ENVIRONMENTAL MANAGEMENT 310(2022).