Qu Wendi, Hua Hao, Yang Ting, Zohner Constantin M, Peñuelas Josep, Wei Jing, Yu Le, Wu Chaoyang
The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
University of the Chinese Academy of Sciences, Beijing, China.
Nat Commun. 2025 Apr 10;16(1):3406. doi: 10.1038/s41467-025-58710-9.
Climate warming has led to earlier leaf green-up dates (GUD) with a greening trend of land surfaces in spring, yet the influence of multi-source particle pollution is not well understood. Using ground records and satellite observations of green-up date and fine particulate matter below 2.5 μm (PM) over the last two decades in China, here we show that PM pollution is associated with reduced plant carbon uptake and delayed green-up dates. These effects offset climate-driven spring greening and reduce subsequent photosynthesis in China. We find that pollution-associated delays in green-up date are primarily linked to increased chilling demands and higher heat requirements. PM-associated decreases in photosynthetically active radiation and maximum rate of carboxylation could also weaken plant photosynthetic capacity. Finally, when we incorporate a PM effect, phenological models predict up to a one-week delay in green-up date by the year 2060 compared to previous predictions. Negative feedbacks between anthropogenic pollution and terrestrial carbon uptake suggest unexpected uncertainty of China's carbon neutral targets resulting from air pollution, with far-reaching implications for both ecosystem health and policy-making.
气候变暖导致春季陆地表面呈现出更早的绿叶生长日期(GUD)以及绿化趋势,但多源颗粒物污染的影响尚未得到充分理解。利用中国过去二十年地面记录以及关于绿叶生长日期和2.5微米以下细颗粒物(PM)的卫星观测数据,我们在此表明,PM污染与植物碳吸收减少和绿叶生长日期推迟有关。这些影响抵消了气候驱动的春季绿化,并降低了中国随后的光合作用。我们发现,与污染相关的绿叶生长日期延迟主要与冷需求增加和热量需求升高有关。与PM相关的光合有效辐射和羧化最大速率的降低也可能削弱植物的光合能力。最后,当我们纳入PM效应时,物候模型预测到2060年绿叶生长日期相比之前的预测将延迟多达一周。人为污染与陆地碳吸收之间的负反馈表明,空气污染导致中国碳中和目标存在意想不到的不确定性,这对生态系统健康和政策制定都具有深远影响。