Asymmetric response of Northern Hemisphere vegetation to climate change from 2000 to 2018: Phenology leads GPP
Yiyang Guo, Nan Cong, Zhou-Tao ZHENG, Guang Zhao, Jun-Xi WU, Ying Deng, Zhi-Yong DU, Yang-Jian ZHANG
Chinese Academy of Sciences Institute of Geographic Sciences and Natural Resources Research University of Chinese Academy of Sciences Institute of Botany
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Understanding how vegetation phenology affects terrestrial ecosystem productivity (GPP) is key to predicting carbon cycle under climate change. However, the heterogeneity in the trends of the length of growing season (LOS) and GPP, as well as their underlying driving mechanisms, remains inadequately explored. Here, we analyzed the spatial heterogeneity in LOS and GPP trends across regions north of 20°N in the Northern Hemisphere (NH) from 2000 to 2018. A climate‒phenology‒GPP model was constructed to investigate the interactions among these components. Furthermore, the temporal lag effects between GPP and vegetation phenology were examined to reveal the physiological and ecological mechanisms through which vegetation phenology regulates GPP under climate change. The results indicate that LOS and GPP trends exhibit notable spatial heterogeneity in northwestern Eurasia. The most common trend pattern is a simultaneous increase in both LOS and GPP, followed by regions where LOS increases while GPP decreases. Pre-season and growing season climate can explain 23% and 38.9% of the divergence between LOS and GPP trends, respectively. Temporal lag analysis further demonstrates a predominant long-term (over eight years) lag effect between LOS and GPP, accounting for approximately 38.7% of the study area. This study reveals the coupling relationship between vegetation phenological dynamics and GPP, highlighting the complex interactions among climatic factors, phenological processes, and ecosystem functioning. It provides important insights into the regulatory mechanisms of the carbon cycle in the context of climate change.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Tree-ring climate responses
Climate variability and models · Science and Climate Studies
参考文献 74
此处列出前 3 条
引用本文 3
按被引量排序,此处列出前 3 条