干旱区生态环境知识资源中心(Arid): Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands

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DOI	10.1016/j.jhydrol.2024.130775
	Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands
	Zhang, Gengxi; Zhang, Shuyu; Wang, Huimin; Gan, Thian Yew; Su, Xiaoling; Wu, Haijiang; Shi, Lijie; Xu, Pengcheng; Fu, Xiaolei
通讯作者	Zhang, GX ; Fu, XL
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2024
卷号	631
英文摘要	With global warming, climate extremes are intensifying, particularly compound dry and hot events (CDHEs), which would severely impact vegetation growth. However, quantitatively evaluating vegetation vulnerability to CDHEs remains challenging in global lands. A conditional probability model was constructed using the vine copula function to evaluate responses of vegetation to CDHEs based on the Standardized Moisture Anomaly Index (SZI), the Standardized Temperature Index (STI), and the kernel Normalized Difference Vegetation Index (kNDVI). The results show that vegetation growth is more susceptible to dry and hot conditions in arid and semiarid regions than in sub-humid and humid regions. In terms of vegetation types, shrubs, savanna, grass, and crops are more susceptible to CDHEs than to individual dry or hot events, especially in water-limited regions. In arid regions, the vegetation vulnerability for open shrubs, closed shrubs, savanna, and grass under extreme CDHEs would correspondingly increase by 45%, 23%, 15%, and 12% compared with dry conditions, indicating the necessity to consider both dry and hot conditions simultaneously when evaluating vegetation dynamics to climatic extremes. In semi-arid and sub-humid regions, broadleaf forests show higher vulnerability to CDHEs than needleleaf forests. However, evergreen broadleaf forests show the lowest vulnerability and higher resistance to CDHEs in humid regions. The Analysis of Variance (ANOVA)-based uncertainty decomposition results show that copula combination sets in vine copula trees and vine copula structures are the two main uncertainty sources, accounting for about 60%. Despite with uncertainty, the modeling results show consistent vegetation loss probability patterns simulated with different structures of the vine copula model, indicating the robustness and reliability of the results. The findings provide a profound comprehension of ecosystems' response mechanisms to compound extremes, which are essential to developing effective mitigation and adaptation strategies against the impact of future climate change.
英文关键词	Compound extremes Drought High temperature Vegetation Vulnerability Vine copula kNDVI
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001178901100001
WOS关键词	CLIMATE EXTREMES ; DROUGHT ; CONSTRUCTIONS ; RESPONSES
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404556
推荐引用方式 GB/T 7714	Zhang, Gengxi,Zhang, Shuyu,Wang, Huimin,et al. Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands[J],2024,631.
APA	Zhang, Gengxi.,Zhang, Shuyu.,Wang, Huimin.,Gan, Thian Yew.,Su, Xiaoling.,...&Fu, Xiaolei.(2024).Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands.JOURNAL OF HYDROLOGY,631.
MLA	Zhang, Gengxi,et al."Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands".JOURNAL OF HYDROLOGY 631(2024).