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DOI | 10.1016/j.scitotenv.2024.170549 |
A novel index for vegetation drought assessment based on plant water metabolism and balance under vegetation restoration on the Loess Plateau | |
Wang, Ai; Gao, Xuerui; Zhou, Zeyu; Siddique, Kadambot H. M.; Yang, Hao; Wang, Jichao; Zhang, Shuyu; Zhao, Xining | |
发表日期 | 2024 |
ISSN | 0048-9697 |
EISSN | 1879-1026 |
起始页码 | 918 |
卷号 | 918 |
英文摘要 | 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. |
英文关键词 | Loess Plateau; Vegetation; Drought index; Water deficit; Climate change |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS记录号 | WOS:001183417800001 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/309065 |
作者单位 | Northwest A&F University - China; Northwest A&F University - China; Northwest A&F University - China; Chinese Academy of Sciences; Institute of Soil & Water Conservation (ISWC), CAS; University of Western Australia; Southern University of Science & Technology |
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],2024,918. |
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. |
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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