J Plant Ecol ›› Advance articles     DOI:10.1093/jpe/rtag003

• Research Article •     Next Articles

The leaf economics spectrum drives soil nitrification in subtropical forests

Xiuzhen Shi1,2, Yaqi Shao1,2, Zhijie Yang1,2, Francis Q. Brearley3, Manuel Esteban Lucas-Borja4, Ding Feng1,2, Yajun Shao1,2, Jianqing Wang1,2,*   

  1. 1State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Institute of Geography, Fujian Normal University, Fuzhou 350007, China
    2Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
    3Department of Natural Sciences, Manchester Metropolitan University, Manchester M1 5GD, UK
    4Higher Technical School of Agricultural and Forestry Engineering, Castilla-La Mancha University, Albacete 02071, Spain
    *Corresponding author: Jianqing Wang E-mail address: jianqingwang@aliyun.com
  • Received:2025-09-18 Accepted:2025-12-26 Published:2026-01-26

叶片经济谱驱动亚热带森林土壤硝化作用

Abstract: Nitrification is a crucial biogeochemical process that regulates soil inorganic nitrogen forms and triggers soil nitrogen losses. While the prevailing paradigm focuses on the role of functional microbial guilds that drive soil nitrification, a clear mechanistic link between tree species and soil nitrification remains to be established in forest ecosystems. With a common garden experiment, we examined the impacts of leaf economics spectrum, tree phenology, and symbiotic fungal associations on soil nitrification across 12 subtropical tree species in January and September. Our results revealed that soil potential nitrification rates ranging from -2.13 to 1.96 mg N kg-1 d-1 varied among different tree species. Liquidambar formosana exhibited the highest soil nitrification rate, while Lindera communis and Elaeocarpus decipiens had the lowest soil nitrification rates at both sampling times. Leaf traits were stronger predictors of soil nitrification than soil variables. In particular, acquisitive tree species characterized by greater specific leaf area and lower leaf dry matter content significantly promoted soil nitrification. Deciduous tree species exhibited significantly higher soil potential nitrification rates than those of evergreen tree species. Structural equation models showed that the leaf economics spectrum positively affected litter N content, which in turn increased soil ammonium availability and subsequently promoted ammonia-oxidizing archaea abundance, ultimately facilitating soil nitrification. Taken together, our study demonstrates a leaf trait-based framework for linking tree species to ecological processes and emphasizes that the choice of tree species based on the leaf economics spectrum plays a vital role in predicting ecosystem functioning.

Our study reveals that the leaf economics spectrum facilitates soil nitrification via cascading effects on litter N content, soil ammonium availability, and ammonia-oxidizing archaea abundance, and establishes a leaf trait-based framework for linking tree species to ecological processes.

Key words: ammonia-oxidizing archaea, leaf traits, nitrification, resource use strategies, tree species

摘要:
硝化作用是调控土壤无机氮形态并引发土壤氮素流失的关键生物地球化学过程。当前主流研究聚焦于驱动土壤硝化作用的功能微生物类群,而森林生态系统中树种与土壤硝化作用之间的作用机制仍有待阐明。本研究通过同质园试验,于1月和9月探究了12种亚热带树种的叶片经济谱、树木物候及共生真菌对土壤硝化作用的影响。结果表明,土壤硝化潜势在不同树种之间的变化范围为-2.13~1.96 mg N kg-1 d-1。在两个采样时期,枫香的土壤硝化潜势均为最高,而香叶与山杜英的硝化潜势最低。相较于土壤因子,叶片性状对土壤硝化作用的解释力更强。具体而言,具有高比叶面积、低叶片干物质含量特征的资源获取型树种,能显著促进土壤硝化作用;落叶树种的土壤硝化潜势显著高于常绿树种。结构方程模型分析显示,叶片经济谱正向影响凋落物氮含量,进而提高土壤铵态氮可利用性,促进土壤氨氧化古菌丰度的提升,最终驱动土壤硝化作用的增强。综上,本研究构建了基于叶片性状的树种—生态过程关联框架,强调基于叶片经济谱的树种选择在预测生态系统功能方面具有重要作用。

关键词: 氨氧化古菌, 叶片性状, 硝化作用, 资源利用策略, 树种