Declining coupling between vegetation and drought over the past three decades
文献类型：期刊论文
| 作者 | Li, Delong5; An, Li1; Zhong, Shuai; Shen, Lei1,2,3,5; Wu, Shuyao4 |
| 刊名 | GLOBAL CHANGE BIOLOGY
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| 出版日期 | 2024 |
| 卷号 | 30期号:1页码:e17141 |
| 关键词 | drought timescales long-term trend trend attributions vegetation-drought coupling water-deficit zones water-surplus zones |
| DOI | 10.1111/gcb.17141 |
| 产权排序 | 1 |
| 英文摘要 | Droughts have been implicated as the main driver behind recent vegetation die-off and are projected to drive greater mortality under future climate change. Understanding the coupling relationship between vegetation and drought has been of great global interest. Currently, the coupling relationship between vegetation and drought is mainly evaluated by correlation coefficients or regression slopes. However, the optimal drought timescale of vegetation response to drought, as a key indicator reflecting vegetation sensitivity to drought, has largely been ignored. Here, we apply the optimal drought timescale identification method to examine the change in coupling between vegetation and drought over the past three decades (1982-2015) with long-term satellite-derived Normalized Difference Vegetation Index and Standardized Precipitation-Evapotranspiration Index data. We find substantial increasing response of vegetation to drought timescales globally, and the correlation coefficient between vegetation and drought under optimal drought timescale overall declines between 1982 and 2015. This decrease in vegetation-drought coupling is mainly observed in regions with water deficit, although its initial correlation is relatively high. However, vegetation in water-surplus regions, with low coupling in earlier stages, is prone to show an increasing trend. The observed changes may be driven by the increasing trend of atmospheric CO2. Our findings highlight more pressing drought risk in water-surplus regions than in water-deficit regions, which advances our understanding of the long-term vegetation-drought relationship and provides essential insights for mapping future vegetation sensitivity to drought under changing climate conditions. We applied the optimal drought timescale identification method to investigate changes in vegetation-drought coupling over the past three decades (1982-2015). We find a substantial increase in the timescales and a decline in maximum correlation, indicating the weakening coupling between vegetation and drought over time. Counterintuitively, decrease in vegetation-drought coupling is mainly observed in water deficit regions, while water surplus regions show an increasing trend, which highlights the upcoming risk for wet regions rather than arid regions. This incorporation of drought timescales will provide essential insights for mapping future forest/ecosystem vulnerability under changing climate conditions.image |
| WOS关键词 | GLOBAL PATTERNS ; SENSITIVITY ; FORESTS ; INDEX ; VARIABILITY ; ECOSYSTEMS ; DRIVEN |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001139817900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201685]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad, Pakistan 4.Minist Nat Resources Peoples Republ China, Key Lab Carrying Capac Assessment Resource & Envir, Beijing, Peoples R China 5.Shandong Univ, Ctr Yellow River Ecosyst Prod, Qingdao, Shandong, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci and Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Delong,An, Li,Zhong, Shuai,et al. Declining coupling between vegetation and drought over the past three decades[J]. GLOBAL CHANGE BIOLOGY,2024,30(1):e17141. |
| APA | Li, Delong,An, Li,Zhong, Shuai,Shen, Lei,&Wu, Shuyao.(2024).Declining coupling between vegetation and drought over the past three decades.GLOBAL CHANGE BIOLOGY,30(1),e17141. |
| MLA | Li, Delong,et al."Declining coupling between vegetation and drought over the past three decades".GLOBAL CHANGE BIOLOGY 30.1(2024):e17141. |
入库方式： OAI收割
来源：地理科学与资源研究所
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