天蓬
固碳
生产力
环境科学
氮气
下层林
每年落叶的
生态系统
温带落叶林
生物地球化学循环
植物凋落物
氮气循环
农学
树冠
光合能力
贯通
初级生产
森林生态学
温带气候
光合作用
植物
生态学
生物
化学
经济
宏观经济学
有机化学
作者
Xiaowei Li,Chenlu Zhang,Binyu Zhang,Li Jiang,Shuo 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
标识
DOI:10.1073/pnas.2508925122
摘要
Atmospheric nitrogen (N) deposition is generally expected to stimulate plant carbon (C) sequestration and promote tree growth, thereby mitigating atmospheric CO 2 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%). 15 N 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI