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植物研究 ›› 2025, Vol. 45 ›› Issue (1): 22-33.doi: 10.7525/j.issn.1673-5102.2025.01.004

• 研究论文 • 上一篇    下一篇

土地利用方式对土壤细菌群落结构和功能的影响

支君1, 段文标1(), 高明1, 胡伟2, 李猛2, 王姝人1   

  1. 1.东北林业大学林学院,哈尔滨 150040
    2.中国科学院东北地理与农业生态研究所,哈尔滨 150081
  • 收稿日期:2024-11-12 出版日期:2025-01-20 发布日期:2025-01-23
  • 通讯作者: 段文标 E-mail:dwbiao88@163.com
  • 作者简介:支君(1999—),女,硕士研究生,主要从事森林、农田等土壤生态研究。
  • 基金资助:
    国家重点研发计划项目(2021YFD1500702)

Impact of Land Use Patterns on the Structure and Function of Soil Bacterial Communities

Jun ZHI1, Wenbiao DUAN1(), Ming GAO1, Wei HU2, Meng LI2, Shuren WANG1   

  1. 1.College of Forestry,Northeast Forestry University,Harbin 150040
    2.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin 150081
  • Received:2024-11-12 Online:2025-01-20 Published:2025-01-23
  • Contact: Wenbiao DUAN E-mail:dwbiao88@163.com

摘要:

土壤微生物群落功能对土地利用方式变化的响应在土壤生态功能的预测方面具有重要意义。为了明确黑土区土地利用方式对土壤细菌群落的影响,该研究分析了东北黑土区农田、林地和草地的土壤细菌群落结构、共现网络结构及功能基因,并采用结构方程模型探讨了土地利用方式、土壤理化性质、细菌多样性、细菌群落结构、共现网络和功能基因之间的相互作用机制。结果表明:不同土地利用方式的土壤理化性质、细菌群落结构存在显著差异(P<0.05),林地和草地的多样性及共现网络平均度显著高于农田(P<0.05)。林地细菌共现网络正相关边的占比高于其他处理,即林地土壤细菌之间存在更强的协同作用。功能基因研究结果表明,不同土地利用方式显著改变了土壤细菌群落功能基因丰度(P<0.05)。结构方程模型表明,细菌群落结构对功能基因的直接影响最大,土地利用方式对土壤细菌群落功能基因的间接影响最大。综上,该研究进一步证实土地利用方式对土壤细菌群落的影响,为黑土区土地管理提供了科学依据。

关键词: 土地利用方式, 土壤细菌, 共现网络, 功能预测, 结构方程模型

Abstract:

The response of soil microbial community functions to land use changes is of key importance in the prediction of soil ecological functions. In order to clarify the effects of different land use patterns on bacterial communities in the black soil region, the soil bacterial community structure, co-occurrence network structure and functional genes in cropland, forest land and grassland in the northeastern black soil region were analyzed, respectively, and the interaction mechanisms among land use patterns, soil physicochemical properties, bacterial diversity, bacterial community structure, co-occurrence network and functional genes were explored using structural equation modelling. The results showed that there were significant differences(P<0.05) in soil physical and chemical properties and bacterial community structure among different land use patterns, and that the Shannon index and the average degree of co-occurrence network of forest land and grassland were significantly higher than that in cropland(P<0.05). The proportion of positive correlation edges of bacterial co-occurrence network in forest land was higher than that in other treatments, there was a stronger synergistic effect between soil bacteria in forest land. Functional gene results showed that different land use patterns significantly altered functional gene abundance(P<0.05). Structural equation modelling indicated that bacterial community structure had the greatest direct effect on functional genes, and land use practices had the greatest indirect effect on functional genes. In conclusion, this study further confirmed the effects of different land use patterns on bacterial communities, which provided a scientific basis for land management in the black soil area.

Key words: land use patterns, soil bacteria, co-occurrence networks, functional prediction, structural equation model

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