文献类型: 外文期刊
作者: Xiaowei Li;Chenlu Zhang;Beibei Zhang;Li Jiang;Shengqi Tang;Chenhui Sun;Yulong Bai;Yubang Wang;Yifei Shi;Lei Ma;Wei Zhang;Qing Ye;Junhua Yan;Keya Wang;Juemin Fu;Wenzhi Du;Denglong Ha;Yuxi Ju;Shiqiang Wan;Liang Hong;Yunting Fang;Evan Siemann;Yiqi Luo;Peter B. Reich;Shenglei Fu
作者机构:
关键词: 15 N recovery;carbon sequestration;forest canopy;nitrogen deposition
期刊名称: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
年卷期: 2025 年 122 卷 34 期
页码:
收录情况: SCIE(2025版)
摘要: Atmospheric nitrogen (N) deposition is generally expected to stimulate plant carbon (C) sequestration and promote tree growth, thereby mitigating atmospheric CO2 accumulation. Yet, the magnitude of N deposition contribution to forest productivity remains contentious. While correlative studies suggest substantial plant growth enhancement, controlled fertilization experiments typically demonstrate a limited impact. This discrepancy may arise from whether or not to consider canopy N uptake processes. Here, we conducted a 10-y field experiment comparing canopy addition of N (CAN) with understory addition of N (UAN) at the rate of 0, 25, and 50 kg N ha–1 y–1 in a temperate deciduous forest in central China. We show that CAN significantly enhanced net primary productivity by 37.0% over control, driven by enhanced leaf litterfall, wood and fine root production, whereas UAN effects were marginal (8%). 15N isotopic tracing revealed that CAN, through enhanced plant N uptake and increased ecosystem N retention, yielded a 3.5-fold higher C sequestration efficiency (∆C/∆N) of 54.5 ± 7.7 kg C kg–1 N, than UAN (12.2 ± 3.4 kg C kg–1 N) resulted from greater N loss through leaching. Physiological measurements indicated CAN enhanced leaf photosynthetic rates, modified leaf morphology, and extended leaf lifespan via delayed senescence. These findings provide robust empirical evidence that canopy N uptake is crucial for maximizing N-induced forest productivity, thereby holding significant implications for refining global C models and urging modelers to incorporate canopy processes for more accurate projections of future C sinks and climate change mitigation strategies.
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