生态环境学报 ›› 2022, Vol. 31 ›› Issue (3): 460-469.DOI: 10.16258/j.cnki.1674-5906.2022.03.004

• 研究论文 • 上一篇    下一篇

马尾松次生林转换为湿地松和杉木林对土壤细菌群落结构和多样性的影响

夏开(), 邓鹏飞, 马锐豪, 王斐, 温正宇, 徐小牛*()   

  1. 安徽农业大学林学与园林学院,安徽 合肥 230036
  • 收稿日期:2021-10-16 出版日期:2022-03-18 发布日期:2022-05-25
  • 通讯作者: *徐小牛(1961年生),男,教授,主要从事森林培育、森林生物地球化学循环及其相关领域。E-mail: xnxu2007@ahau.edu.cn
  • 作者简介:夏开(1991年生),男,硕士研究生,研究方向为森林培育。E-mail: 836058374@qq.com
  • 基金资助:
    国家“十三五”重点研发计划项目(2016YFD0600304-03);国家自然科学基金项目(31770672)

Changes of Soil Bacterial Community Structure and Diversity from Conversion of Masson Pine Secondary Forest to Slash Pine and Chinese Fir Plantations

XIA Kai(), DENG Pengfei, MA Ruihao, WANG Fei, WEN Zhengyu, XU Xiaoniu*()   

  1. College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, P. R. China
  • Received:2021-10-16 Online:2022-03-18 Published:2022-05-25

摘要:

探究不同林型转换对土壤微生物群落结构和多样性的影响,为森林土壤生态系统的恢复和维持提供科学依据。基于16S rRNA的高通量测序技术比较分析了皖南山区马尾松(Pinus massoniana)次生林(PM)以及由马尾松次生林转换的湿地松(Pinus elliottii)(PE)和杉木(Cunninghamia lanceolata)人工林(CL)土壤细菌群落结构和多样性差异,探讨了细菌群落结构和多样性与土壤环境因子的相关性。结果表明,(1)PM转换成PE后,土壤pH、铵态氮NH4+-N含量显著增加,土壤电导率EC和硝态氮NO3--N含量显著降低;PM转换CL后,土壤含水率SWC显著增加,土壤有机碳SOC含量和EC显著降低。(2)林型转换显著改变了土壤细菌多样性,其中PE的土壤细菌α多样性显著高于PM。主坐标分析表明3种林型组间差异显著大于组内差异。(3)林型转换显著改变了土壤的细菌群落结构。在门水平上,3种林型优势菌群(平均相对丰度>10%)为酸杆菌门(Acidobacteria)、变形菌门(Proteobacteria)和放线菌门(Actinobacteria),其中PE的酸杆菌门相对丰度最低,CL的变形菌门和放线菌门相对丰度均是最低;在属水平上,3种林型优势菌群(平均相对丰度>5%)为酸杆菌门Subgroup_2_unclassified、Acidobacteriales_unclassified,变形菌门Elsterales_unclassified,其中这3个优势属相对丰度均是PE最低。(4)土壤pH和EC是影响该地区土壤细菌群落结构和多样性的关键环境因子。综合分析表明林型转换显著影响土壤细菌群落结构和多样性,马尾松次生林转换为湿地松人工林有利于土壤细菌群落发育和土壤营养状况的维持。

关键词: 林型转换, 土壤理化性质, 细菌群落结构, 细菌多样性, 高通量测序, 关键环境因子

Abstract:

Understanding the impact of forest conversion on the structure and diversity of soil bacterial communities will provide a scientific basis for the restoration and maintenance of forest soil ecosystems, and is of great importance for the sustainable management of forest systems. Based on the 16S rRNA high-throughput sequencing technique, this study was conducted in three forests, including Pinus massoniana secondary forest (PM) and P. elliottii (PE) and Cunninghamia lanceolata (CL) plantations converted from PM, in southern Anhui, China. The relationships between the bacterial community structure and diversity and soil environmental factors were discussed. The results showed that (1) after the conversion of PM to PE, soil pH and NH4+-N content increased significantly, but soil EC and NO3--N content decreased significantly (P<0.05). The soil moisture increased significantly, and soil EC and organic carbon content decreased significantly after the conversion of PM to CL. (2) Forest type conversion significantly changed soil bacterial diversity. The bacterial α-diversity was significantly higher in PE than in PM. The principal coordinate analysis indicated that the differences in bacterial community compositions were significantly greater among the forest types than those within the forest type. (3) Forest type conversion significantly changed soil bacterial community structure. At the phylum level, the common dominant phyla (average relative abundance>10%) were Acidobacteria, Proteobacteria and Actinobacteria, among which Acidobacteria showed the lowest relative abundance in PE and Proteobacteria and Actinobacteria had the lowest in CL. At the genus level, the common dominants (average relative abundance>5%) among the forest types were Subgroup_2_Unclassified, Acidobacteriales_Unclassified, and Elsterales_Unclassified. The relative abundances of those three genera were the lowest in PE. Results from the Mantel test showed that soil pH and EC were the key factors controlling soil bacterial community structure and diversity. Our findings indicated that the forest conversion can significantly change the soil microbial community structure and diversity. The conversion of Pinus massoniana secondary forest to Pinus elliottii plantation is beneficial for the development of soil bacterial community and maintenance of soil nutrient status.

Key words: forest conversion, soil physicochemical property, bacterial community structure, bacterial diversity, high-throughput sequencing, key environmental factors

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