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应用生态学报 ›› 2026, Vol. 37 ›› Issue (4): 993-1002.doi: 10.13287/j.1001-9332.202604.001

• 研究论文 • 上一篇    下一篇

华北落叶松林土壤微生物群落结构及多样性对长期氮添加的响应

李素新*, 张艺轩, 庞晓静, 何松骏, 张芙蓉, 王家琪, 王星如   

  1. 山西农业大学林学院, 山西晋中 030801
  • 收稿日期:2025-11-30 修回日期:2026-02-03 出版日期:2026-04-18 发布日期:2026-05-29
  • 通讯作者: *E-mail: SXL362@163.com
  • 作者简介:李素新, 女, 1981年生, 博士研究生。主要从事森林土壤生态研究。E-mail: SXL362@163.com
  • 基金资助:
    山西省面上青年基金项目(201901D211358)和山西农业大学博士引进科研启动项目(2022BQ38)

Response of soil microbial community structure and diversity to long-term nitrogen addition in soils of Larix principis-rupprechtii plantation

LI Suxin*, ZHANG Yixuan, PANG Xiaojing, HE Songjun, ZHANG Furong, WANG Jiaqi, WANG Xingru   

  1. College of Forestry, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China
  • Received:2025-11-30 Revised:2026-02-03 Online:2026-04-18 Published:2026-05-29

摘要: 本研究以山西省吕梁市关帝山华北落叶松人工林为对象,通过11年氮添加(对照: 0 kg·hm-2·a-1;轻度施氮: 80 kg·hm-2·a-1;重度施氮:150 kg·hm-2·a-1)控制试验,结合高通量测序技术、冗余分析及Mantel检验等方法,分析了长期氮输入对土壤微生物群落结构与多样性的影响机制。结果表明:轻度和重度施氮均显著增加土壤硝态氮、全氮含量和微生物熵碳,显著降低pH和全磷含量;重度施氮显著抑制细菌和真菌的α多样性指数(ACE、Chao1、Shannon和Simpson)。土壤细菌群落相对丰度最高的是变形菌门,占比31.6%~46.5%,其次是酸杆菌门(20.8%~26.2%)和拟杆菌门(6.8%~8.9%);真菌以担子菌门(31.6%~46.5%)、子囊菌门(24.5%~39.7%)、被孢霉门(3.1%~5.1%)和罗兹霉门(2.3%~3.2%)为主。施氮显著改变了细菌和真菌的群落结构。在细菌中,轻度施氮显著提高酸杆菌门、酸杆菌属Gp4和硝化螺旋菌属相对丰度,显著降低变形菌门、酸杆菌属Gp17相对丰度;在真菌中,轻度和重度施氮均显著降低乳牛肝菌属相对丰度,重度施氮显著降低子囊菌门和聚合霉门相对丰度。冗余分析和Mantel检验结果表明,影响细菌群落的主要环境因子为土壤全磷、速效磷和C/N,影响真菌的主要环境因子为土壤速效磷、有机碳和pH。Pearson相关性分析表明,细菌多样性指数与土壤有机碳、微生物生物量碳和pH呈显著相关关系,真菌多样性指数与土壤全氮、有机碳、微生物生物量碳和C/N呈显著相关关系。综上,轻度施氮通过缓解氮胁迫、优化土壤C/N,改善土壤真菌群落结构并提高其α多样性,重度施氮则导致土壤酸化、有机碳含量降低,对细菌与真菌群落均产生显著抑制作用。

关键词: 氮添加, 华北落叶松, 土壤微生物群落, 高通量测序

Abstract: We conducted an 11-year nitrogen (N) addition experiment (control: 0 kg·hm-2·a-1, low N addition: 80 kg·hm-2·a-1, high N addition: 150 kg·hm-2·a-1) in Larix principis-rupprechtii plantations in Guandi Mountain, Lvliang City, Shanxi Province, to analyze the impact of long-term N input on soil microbial community structure and diversity by using high-throughput sequencing technology, redundancy analysis (RDA) and Mantel test. The results showed that both low and high N additions significantly increased soil nitrate (NO3--N) content, total nitrogen (TN) content, and microbial quotient for carbon, while significantly reduced soil pH and total phosphorus (TP) content. High N addition markedly decreased α-diversity indices (ACE, Chao1, Shannon, and Simpson) of both bacteria and fungi. Proteobacteria was the dominant bacterial phylum, accounting for 31.6%-46.5% of the total bacterial sequences, followed by Acidobacteria (20.8%-26.2%) and Bacteroidetes (6.8%-8.9%). The fungal community was dominated by Basidiomycota (31.6%-46.5%), Ascomycota (24.5%-39.7%), Mortierellomycota (3.1%-5.1%), and Rozellomycota (2.3%-3.2%). Nitrogen addition significantly reshaped community composition of bacteria and fungi. For bacteria, low N addition significantly increased the relative abundances of Acidobacteria, Acidobacteriaceae Gp4, and Nitrospira, decreased those of Proteobacteria and Acidobacteriaceae Gp17. For fungi, both low and high N additions significantly reduced the relative abundance of Suillus, while high N addition further decreased the relative abundance of Ascomycota and Glomeromycota. RDA and Mantel test demonstrated that the key environmental factors affecting bacterial communities were soil TP, avai-lable phosphorus (AP), and C/N, whereas those affecting fungal communities were soil AP, soil organic carbon (SOC), and pH. Bacterial diversity indices exhibited significant correlations with SOC, microbial biomass carbon (MBC), and pH, while fungal diversity indices were significantly correlated with TN, SOC, MBC, and C/N. In summary, low N addition improved soil fungal community structure and enhanced α-diversity by mitigating N limitation and optimizing soil C/N. In contrast, high N addition caused soil acidification and a reduction in SOC content, exhibited significant inhibitory effects on both bacterial and fungal communities.

Key words: nitrogen addition, Larix principis-rupprechtii, soil microbial community, high-throughput sequencing