题名 | A novel index for vegetation drought assessment based on plant water metabolism and balance under vegetation restoration on the Loess Plateau |
作者 | |
通讯作者 | Gao,Xuerui |
发表日期 | 2024-03-25
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DOI | |
发表期刊 | |
ISSN | 0048-9697
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EISSN | 1879-1026
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卷号 | 918 |
摘要 | Vegetation is vital to the ecosystem, contributing to the global carbon balance, but susceptible to the impacts of climate change. Monitoring vegetation drought remains challenging due to the lack of widely accepted drought indices. This study focused on vegetation, and simulated the vegetation suitable water demand and soil available water supply (calculated by Remote-sensing-based Water Balance Assessment Tool model). The standardized Vegetation Water deficit Index (SVWDI) was established by calculating the vegetation water deficit, which reflects the response of vegetation to drought. We examined the spatiotemporal evolution of vegetation drought on the Loess Plateau and evaluated the applicability of standardized vegetation water deficit index. Our findings revealed that the standardized vegetation water deficit index demonstrated an overall upward trend across different time scales from 1991 to 2020. Drought conditions were concentrated in the first 20 years of the study period, but vegetation drought on the Loess Plateau has been alleviated in the past decade. Moreover, as the time scale extended, the trend of SVWDI generally decreased, with approximately 49.50 % (1-month scale), 46.66 % (3-month scale), 47.08 % (12-month scale), and 32.16 % (24-month scale) of the grid areas experiencing increased SVWDI. The correlation between SVWDI and tree-ring width index (TRWI) performed well under all precipitation gradients, but the Palmer drought severity index (PDSI) was only highly correlated with TRWI in regions with low precipitation. In terms of the relationship with vegetation health, SVWDI demonstrated the highest correlation with the normalized difference vegetation index (NDVI) across different time scales, followed by PDSI and standardized precipitation evapotranspiration index (SPEI). This study provides insights into the evolution of vegetation drought in response to climate change. The findings can guide initiatives such as returning farmland to forest and grassland on the Loess Plateau to aid climate change adaptation strategies. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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ESI学科分类 | ENVIRONMENT/ECOLOGY
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Scopus记录号 | 2-s2.0-85184520163
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:1
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/701339 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling,Shaanxi,712100,China 2.Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas,Ministry of Education,Northwest A&F University,Yangling,Shaanxi Province,712100,China 3.Institute of Soil and Water Conservation,Northwest A&F University,Yangling,Shaanxi,712100,China 4.China Water Resources Beifang Investigation,Design and Research Co. Ltd,Tianjin,300222,China 5.The UWA Institute of Agriculture,The University of Western Australia,Perth,Australia 6.School of Environmental Science and Engineering,Southern University of Science and Technology,China |
推荐引用方式 GB/T 7714 |
Wang,Ai,Gao,Xuerui,Zhou,Zeyu,et al. A novel index for vegetation drought assessment based on plant water metabolism and balance under vegetation restoration on the Loess Plateau[J]. Science of the Total Environment,2024,918.
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APA |
Wang,Ai.,Gao,Xuerui.,Zhou,Zeyu.,Siddique,Kadambot H.M..,Yang,Hao.,...&Zhao,Xining.(2024).A novel index for vegetation drought assessment based on plant water metabolism and balance under vegetation restoration on the Loess Plateau.Science of the Total Environment,918.
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MLA |
Wang,Ai,et al."A novel index for vegetation drought assessment based on plant water metabolism and balance under vegetation restoration on the Loess Plateau".Science of the Total Environment 918(2024).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
A novel index for ve(15094KB) | -- | -- | 限制开放 | -- |
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