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Ecological clusters based on responses of soil microbial phylotypes to precipitation explain ecosystem functions

机译:基于土壤微生物局部对降水的反应解释生态系统功能的生态簇

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Ecological classification has been proposed as a way to more tightly link microbial communities and ecosystem functions, but few studies have attempted to relate ecological classifications of microbial communities with specific ecosystem functions. Here, we conducted a 3-year experiment with nine levels of artificial precipitation (100-500 mm) in a typical semi-arid steppe. The first five levels (<300 nun) were considered a "dry" gradient, and the last five (>300 mm) were considered a "wet" gradient. Increases in precipitation under dry and wet gradients did not alter the alpha diversities of soil bacterial, soil fungal, or plant communities, except that increases in precipitation under the dry gradient decreased bacterial alpha diversity. Increases in precipitation under the dry and wet gradients altered the composition of the soil bacterial community but did not alter the composition of the fungal or plant communities. Ecological clusters (ECs) based on the relationships between the relative abundance of phylotypes and dry and wet gradients were correlated with soil C or N mineralization rates; these ECs explained 14-28% of the total variance in soil C and N mineralization rates. In contrast, soil C or N mineralization rates were not correlated with the commonly measured properties (e.g., biomass and diversity) of plant, soil bacterial, and soil fungal communities. Our findings indicate that the grouping of soil microorganisms into ECs based on responses to precipitation gradients can provide insights into the relationships between soil organisms and ecosystem functions.
机译:已经提出了生态分类作为更紧密的微生物社区和生态系统职能的一种方式,但很少有研究已经试图将微生物社区的生态分类与特定的生态系统功能相关联。在此,我们在典型的半干旱草原中进行了3年的人工沉淀(100-500mm)的实验。前五个水平(<300 nun)被认为是“干”梯度,最后五(> 300mm)被认为是“湿”梯度。除了在干梯度下降下降水量下降之外,干燥和湿梯度下沉淀下的降水量没有改变土壤细菌,土壤真菌或植物群落的α多样性。干燥和湿梯度下沉淀的增加改变了土壤细菌群落的组成,但没有改变真菌或植物社区的组成。生态簇(ECS)基于网络型和干燥和湿梯度之间的相对丰度与湿梯度之间的关系与土壤C或N矿化速率相关;这些ECS解释了土壤C和N矿化率的总差异的14-28%。相反,土壤C或N矿化率与植物,土壤细菌和土壤真菌社区的常见测量性质(例如,生物量和多样性)无关。我们的研究结果表明,基于对降水梯度的反应将土壤微生物分组到ECS中,可以为土壤生物和生态系统功能之间的关系提供见解。

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