Anomalous arctic polar vortex-induced spring vegetation variability and lagged productivity responses in China
文献类型： 外文期刊
作者： Gong, He 1 ; Huang, Mei 1 ; Wang, Zhaosheng 1 ; Wang, Shaoqiang 1 ; Gu, Fengxue 2 ;
作者机构： 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Agr Sci, Minist Agr, Inst Environm & Sustainable Dev Agr, Key Lab Dryland Agr, Beijing 100081, Peoples R China
期刊名称：THEORETICAL AND APPLIED CLIMATOLOGY （ 影响因子：2.882； 五年影响因子：3.143 ）
ISSN： 0177-798X
年卷期：
页码：
收录情况： SCI
摘要： The Arctic polar vortex (APV) system plays an important role in controlling winter and spring atmospheric circulation pattern in China. Here, we evaluate the anomalous APV-induced spring vegetation variability and lagged productivity responses in China. We found that both strong and weak APV conditions have almost equally negative impacts on spring vegetation growth in China, e.g., negative NDVI anomalies occurred in 48.6 and 53.2% of China's vegetated areas under strong and weak APV conditions, respectively. However, large seasonal compensation effects were associated with weak APV conditions, and beneficial lagged vegetation productivity responses occurred in 67.2% of China's vegetated areas, whereas adverse responses occurred in only 32.8% of vegetated areas. Under a strong APV, adverse lagged vegetation productivity responses occurred in 54.5% of China's vegetated areas, whereas beneficial responses occurred in only 45.5% of vegetated areas. The temperature, precipitation, and solar radiation changes caused by anomalous APV-induced changes in circulation patterns are the main reasons for spring vegetation variability. The lagged vegetation productivity responses were attributed to anomalous APV-related precipitation and air temperature anomalies in the following summer and autumn. This improved understanding of the strong links between APV anomalies and vegetation dynamics in China should facilitate early warning of vegetation productivity reductions under anomalous APV conditions.
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