结构化
陆地生态系统
生态型
生态系统
差速器(机械装置)
生态系统生态学
环境科学
生态学
生物
物理
财务
经济
热力学
作者
Mia Riddley,Shannon Hepp,FNU Hardeep,Avinash Nayak,Meimei Liu,Xin Xing,Hailong Zhang,Jingqiu Liao
标识
DOI:10.1038/s41467-025-57526-x
摘要
Soil bacteria are vital to ecosystem resilience and resistance, yet ecological attributes and the drivers governing their composition and distribution, especially for taxa varying in ecological traits and inhabiting different ecosystems, are not fully understood. Here, we analyzed a large-scale bacterial community and environmental dataset of 622 soil samples systematically collected by us from six major terrestrial ecosystems across the United States. We show that soil bacterial diversity and composition significantly differ among ecotypes and ecosystems, partially determined by a few universal abiotic factors (e.g., soil pH, calcium, and aluminum) and several ecotype- or ecosystem-specific ecological drivers. Co-occurrence network analysis suggests that rare taxa have stronger ecological relevance to the community than abundant taxa. Ecological models revealed that deterministic processes shape assembly of abundant taxa and generalists, while stochastic processes played a greater role in rare taxa and specialists. Also, bacterial communities in the shrubland ecosystem appear to be more sensitive to environmental changes than other ecosystems, evidenced by the lowest diversity, least connected community network, and strongest local environmental selection driven by surrounding land use. Overall, this study reveals ecological mechanisms underlying the bacterial biogeography in terrestrial ecosystems nationwide and highlights the need to preserve rare biosphere and shrubland ecosystems amid environmental disturbance. Determinants of soil microbial community structure are less well studied. Here, Riddley et al. profile nationwide bacterial biogeographic patterns, and identify key environmental factors and distinct roles of deterministic and stochastic processes in shaping ecotype community assembly across terrestrial ecosystems.
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