Luo Rongze, Wang Mingyu, Zhang Youjia, Wang Hong, Meng Xiangyu, Gao Xin, Zhang Yuhe, Sui Xin, Li Maihe
Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region & Key Laboratory of Microbiology, College of Heilongjiang Province & School of Life Sciences, Heilongjiang University, Harbin 150080, China.
Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research, CH-8903 Birmensdorf, Switzerland.
Microorganisms. 2025 Jun 9;13(6):1339. doi: 10.3390/microorganisms13061339.
The cold temperate forest ecosystem is a crucial ecological zone in China, significantly impacted by human activities. To understand the impact of restoration on soil microbial communities following disturbance, this study employed high-throughput sequencing technology to systematically examine the assembly patterns and processes of soil microbial communities under two restoration modes (nature restoration (NR) and artificial restoration (AR)) in this forest ecosystem. The results indicated that the concentrations of total nitrogen (TN), alkaline hydrolysable nitrogen (AN), dissolved organic carbon (DOC) and soil organic carbon (SOC) were significantly higher in soils under natural restoration compared to artificial restoration. The α-diversity of soil bacteria remained unchanged, while soil fungal α-diversity changed significantly across different restoration modes. Furthermore, different restoration modes significantly alter the β-diversity of soil microbial (bacterial and fungal) communities. The relative abundance of soil microbial (bacterial and fungal) changed significantly across different forest restoration strategies, i.e., the relative abundance of increased in natural restoration compared to that in natural forest; similarly, both and showed higher relative abundances in natural restoration than those in natural forest. Furthermore, analysis of variance for differences between groups shows that plays a crucial role in artificial restoration. Community assembly analyses indicated that that soil microbial (bacterial and fungal) communities were primarily driven by deterministic processes in both restoration models. In short, our study improves our comprehension of how soil microbial communities respond to different restoration methods in temperate forest ecosystems, providing valuable insights for their sustainable management.
寒温带森林生态系统是中国重要的生态区域,受人类活动影响显著。为了解干扰后恢复对土壤微生物群落的影响,本研究采用高通量测序技术,系统地研究了该森林生态系统中两种恢复模式(自然恢复(NR)和人工恢复(AR))下土壤微生物群落的组装模式和过程。结果表明,与人工恢复相比,自然恢复土壤中的总氮(TN)、碱解氮(AN)、溶解有机碳(DOC)和土壤有机碳(SOC)含量显著更高。土壤细菌的α多样性保持不变,而不同恢复模式下土壤真菌的α多样性变化显著。此外,不同的恢复模式显著改变了土壤微生物(细菌和真菌)群落的β多样性。不同森林恢复策略下土壤微生物(细菌和真菌)的相对丰度变化显著,即与天然林相比,自然恢复中 的相对丰度增加;同样, 和 在自然恢复中的相对丰度也高于天然林。此外,组间差异的方差分析表明, 在人工恢复中起关键作用。群落组装分析表明,在两种恢复模式下,土壤微生物(细菌和真菌)群落主要受确定性过程驱动。简而言之,我们的研究增进了我们对温带森林生态系统中土壤微生物群落如何响应不同恢复方法的理解,为其可持续管理提供了有价值的见解。
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