ArticleFrontiers in microbiology2023
Soil microbial diversity under different types of interference in birch secondary forest in the Greater Khingan Mountains in China.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Functional Diversity and Community Composition of Soil Fungi Associated With Canopy Dieback in Araucaria araucana Forests of Contrasting Edaphic Conditions.Environmental microbiology reports · 2026Article
- The Ecological Restoration Strategies in Terrestrial Ecosystems Were Reviewed: A New Trend Based on Soil Microbiomics.Ecology and evolution · 2025Review
- Beyond one-size-fits-all approach: How do various harvesting strategies shape soil microbial diversity inFrontiers in microbiology · 2025Article
- The Heterogeneous Habitat of Taiga Forests Changes the Soil Microbial Functional Diversity.Microorganisms · 2024Article
- Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.Frontiers in microbiology · 2024Article
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9 authors.
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Abstract
Introduction: Soil microorganisms are an important component of soil ecosystems with an indispensable role in forest ecosystems. We analyzed the soil microbial diversity in birch secondary forest formed by natural restoration or artificial reconstruction after interference by burning, clear cutting, and gradient cutting, and the Methods: Illumina high-throughput sequencing technology was used to analyze the characteristics of the soil microbial community during the restoration process of birch secondary forest caused by the different types of interference. The relationships between bacteria and fungi were analyzed. The gene functions of the soil bacterial community and the ecological functions of soil fungi were predicted using PICRUSt and FunGuild, respectively. Results: At the phylum level, the species and quantity of bacteria were more abundant than that of fungi. At the genus level, no obvious differences in the abundance of bacteria were observed; there were obvious differences in the abundance of fungi. Among the eight sample plots, the artificial larch forest belt had the highest bacterial and fungal alpha diversity, which was slightly higher than undisturbed forest, while the other sample plots were significantly lower. Gradual cutting pure birch forest bacteria and fungi had the highest beta diversity, and artificial larch forest belt bacteria and heavy burn sample plot fungi had the lowest beta diversity. Samples from the cutting and burning sample plots were significantly different from the undisturbed forest at the phylum level of Acidobacteriae, Acidimicrobiia, Mortierellomycetes and Sordariomycetes. We found statistical differences in biomarkers between bacterial and fungal communities in undisturbed forest and artificial larch forest belt and burn sample plots. PICRUSt prediction and FunGuild prediction showed that soil bacterial and fungal communities were rich in gene and ecological functions, respectively. In the microbial network, the stability or anti-interference performance of the fungal community was higher than that of bacteria. Conclusion: Our data reveal the characteristics of the soil microbial community during the restoration process of
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