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Climate warming leads to divergent succession of grassland microbial communities

机译:气候变暖导致发散的草原微生物群落

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Accurate climate projections require an understanding of the effects of warming on ecological communities and the underlying mechanisms that drive them13. However, little is known about the effects of climate warming on the succession of microbial communities45. Here we examined the temporal succession of soil microbes in a long-term climate change experiment at a tall-grass prairie ecosystem. Experimental warming was found to significantly alter the community structure of bacteria and fungi. By determining the time-decay relationships and the paired differences of microbial communities under warming and ambient conditions, experimental warming was shown to lead to increasingly divergent succession of the soil microbial communities, with possibly higher impacts on fungi than bacteria. Variation partition- and null model-based analyses indicate that stochastic processes played larger roles than deterministic ones in explaining microbial community taxonomic and phylogenetic compositions. However, inwarmed soils, the relative importance of stochastic processes decreased over time, indicating a potential deterministic environmental filtering elicited by warming. Although successional trajectories of microbial communities are difficult to predict under future climate change scenarios, their composition and structure are projected to be less variable due to warming-driven selection.
机译:准确的气候预测需要对气候变暖的影响的理解生态社区和底层驱动them13机制。知道气候变暖的影响一系列微生物communities45。检查时间的土壤微生物在一个长期的气候变化实验高草草原生态系统。气候变暖被发现显著改变细菌和真菌的群落结构。确定time-decay和关系搭配不同的微生物群落变暖和环境条件,实验气候变暖导致越来越多不同的土壤微生物社区,可能更高的影响比细菌真菌。零基于模型的分析表明,随机过程发挥了较大的作用确定性的解释微生物社区的分类和系统发育的组成部分。随机过程的相对重要性下降随着时间的推移,表明潜力确定性环境过滤了变暖。微生物群落是很难预测的未来气候变化情景下,他们组成和结构预测由于warming-driven选择较少的变量。

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