Soil microbial diversity and network complexity drive the ecosystem multifunctionality of temperate grasslands under changing precipitation

生态系统 生态学 草原 环境科学 气候变化 生态系统服务 温带气候 降水 生物 地理 气象学
作者
Changchun Zhai,Lili Han,Chao Xiong,An‐Hui Ge,Xiaojing Yue,Ying Li,Zhenxing Zhou,Jiayin Feng,Jingyi Ru,Jian Song,Lin Jiang,Yunfeng Yang,Limei Zhang,Shiqiang Wan
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:906: 167217-167217 被引量:161
标识
DOI:10.1016/j.scitotenv.2023.167217
摘要

Soil microbiomes play a critical role in regulating ecosystem multifunctionality. However, whether and how soil protists and microbiome interactions affect ecosystem multifunctionality under climate change is unclear. Here, we transplanted 54 soil monoliths from three typical temperate grasslands (i.e., desert, typical, and meadow steppes) along a precipitation gradient in the Mongolian Plateau and examined their response to nighttime warming, decreased, and increased precipitation. Across the three steppes, nighttime warming only stimulated protistan diversity by 15.61 (absolute change, phylogenetic diversity) but had no effect on ecosystem multifunctionality. Decreased precipitation reduced bacterial (8.78) and fungal (22.28) diversity, but significantly enhanced soil microbiome network complexity by 1.40. Ecosystem multifunctionality was reduced by 0.23 under decreased precipitation, which could be largely attributed to the reduced soil moisture that negatively impacted bacterial and fungal communities. In contrast, increased precipitation had little impact on soil microbial communities. Overall, both bacterial and fungal diversity and network complexity play a fundamental role in maintaining ecosystem multifunctionality in response to drought stress. Protists alter ecosystem multifunctionality by indirectly affecting microbial network complexity. Therefore, not only microbial diversity but also their interactions (regulated by soil protists) should be considered in evaluating the responses of ecosystem multifunctionality, which has important implications for predicting changes in ecosystem functioning under future climate change scenarios.
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