Heavy rainfall accelerates the temporal turnover but decreases the deterministic processes of buried gravesoil bacterial communities

降水 环境科学 生态演替 微生物种群生物学 生态系统 生物扩散 生态学 群落结构 丰度(生态学) 高原(数学) 气候变化 生物 地理 气象学 细菌 数学 人口学 社会学 数学分析 遗传学 人口
作者
Wanghong Su,Qian Han,Jiawei Yang,Qiaoling Yu,Sijie Wang,Xiaochen Wang,Jiapeng Qu,Huan Li
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:836: 155732-155732 被引量:14
标识
DOI:10.1016/j.scitotenv.2022.155732
摘要

The influences of global climatic change require an understanding of changes in soil microbial communities under precipitation. However, little is known about how soil ("gravesoil") microbial communities associated with corpse decay respond to precipitation. Here, we explored the variations of temporal turnover and assembly in gravesoil bacterial communities in the Qinghai-Tibet Plateau ecosystem via controlled rainfall simulation experiments. In our experiments, rainfall intensity was set to 2.5 and 5 mm/3 days to simulate moderate and heavy rainfall, respectively, and sampling was conducted on the 4th, 11th, 18th, 32nd, 46th and 60th day. Our results showed precipitation significantly altered bacterial abundances and community structures. Analysis of time-decay relationships revealed that precipitation resulted in a divergent succession of gravesoil bacterial community structure and abundance changes of dominant phyla, such as Chloroflexi. Moreover, in the experimental groups, our results suggested that moderate rainfall increased the deterministic processes in the initial and mid periods, whereas heavy rainfall decreased these processes of gravesoil microbial community assembly in every period compared with those in the control group. The dispersal capacity induced by stochastic processes of gravesoil microbial communities decreased over time under moderate rainfall, whereas it initially increased and then decreased under heavy rainfall. This study highlights the influence of heavy rainfall on bacterial communities during corpse decay, which can provide some inferences for predicting changes in soil microbial communities under global climatic change.

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