Livestock grazing increases soil bacterial alpha-diversity and reduces microbial network complexity in a typical steppe
文献类型： 外文期刊
作者： Zhao, Yiyang 1 ; Sun, Zhaokai 1 ; Zhou, Chengyang 3 ; Ding, Yong 1 ; Zhang, Yiran 1 ; Liu, Yuning 1 ; Liu, Li 1 ;
作者机构： 1.Chinese Acad Agr Sci, Grassland Res Inst, Inner Mongolia Key Lab Grassland Conservat Ecol, Hohhot, Peoples R China
2.Qingdao Agr Univ, Coll Grassland Sci, Qingdao 266109, Peoples R China
3.China Agr Univ, Coll Grassland Sci & Technol, Beijing 100193, Peoples R China
关键词： Grazing intensity; Microbial community; Microbial diversity; Networks complexity; Typical steppe
期刊名称：AGRICULTURE ECOSYSTEMS & ENVIRONMENT （ 影响因子：6.4； 五年影响因子：6.8 ）
ISSN： 0167-8809
年卷期： 2025 年 392 卷
页码：
收录情况： SCI
摘要： The preservation of biodiversity and the proper functioning of grassland ecosystems depend on our ability to understanding the effects of livestock grazing on soil characteristics and microbial communities. However, how soil microbial communities- including their diversity, composition, and network complexity-respond undergo change in response to increasing grazing intensity in typical grasslands remains unclear. To address this, a meticulously designed, ten-year controlled experiment was conducted in a typical grassland in Inner Mongolia to investigate changes in the soil microbial community under increasing grazing intensity. The results showed that grazing significantly affected the structure and composition of soil microorganisms, leading to a significant decrease in bacterial beta-diversity with increasing grazing intensity. In contrast, bacterial alpha-diversity significantly increased, while fungal alpha-diversity remained largely unchanged. However, higher grazing intensities reduced soil multifunctionality and network complexity, with stronger effects on bacteria. These findings enhance our understanding of how grazing intensity influences microbial communities and provide a theoretical basis for assessing grazing's impact on grassland soil ecosystems, thereby addressing a critical knowledge gap regarding its effects on subsurface ecosystems.
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