Canopy and understory nitrogen addition differentially regulate fine root decomposition in a temperate forest

文献类型： 外文期刊

第一作者： Li, Xiaowei

作者： Li, Xiaowei;Zhang, Chenlu;Zhang, Beibei;Jiang, Li;Sun, Chenhui;Bai, Yulong;Shi, Yifei;Fu, Shenglei;Li, Xiaowei;Zhang, Chenlu;Zhang, Beibei;Jiang, Li;Sun, Chenhui;Bai, Yulong;Fu, Shenglei;Li, Xiaowei;Zhang, Chenlu;Fu, Shenglei;Li, Xiaowei;Zhang, Chenlu;Fu, Shenglei;Shi, Yifei;Zhang, Wei;Ye, Qing;Yan, Junhua;Fu, Juemin;Du, Wenzhi;Ha, Denglong

作者机构：

关键词： Nitrogen deposition; Forest ecosystem; Litter decomposition; Canopy N addition; Belowground carbon cycling; Understory N input

期刊名称：FOREST ECOLOGY AND MANAGEMENT （ 影响因子：3.7； 五年影响因子：4.1 ）

ISSN： 0378-1127

年卷期： 2025 年 594 卷

页码：

收录情况： SCI

摘要： Fine roots, constituting approximately one-third of terrestrial net primary production, are critical drivers of ecosystem carbon (C) cycling. However, the influence of atmospheric nitrogen (N) deposition on their decomposition, particularly in forest ecosystems, has been predominantly investigated through understory fertilization experiments, largely neglecting the potentially significant role of canopy interception in mediating the effects of deposited N. To elucidate how atmospheric N deposition via canopy interception, affects fine root decomposition, we conducted an eight-year field experiment in a temperate deciduous forest, directly comparing canopy addition of N (CAN) with understory addition of N (UAN) at rates of 0, 25, and 50 kg N ha-1 yr-1. Our results demonstrate that fine root decomposition was significantly enhanced under CAN compared to UAN. Specifically, at the 50 kg N ha-1 yr-1 level and relative to the control, CAN accelerated decomposition by 23.4 %, a response associated with altered root quality and increased microbial biomass. In contrast, UAN led to an 18.0 % decrease in decomposition, likely attributable to soil acidification. By revealing these contrasting effects of canopy versus understory addition of N on fine root decomposition, this study underscores the crucial need to incorporate canopy N processing into litter decomposition models to improve the predictive accuracy of forest C cycling under atmospheric N deposition scenarios.

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