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Coupling among Microbial Communities Biogeochemistry and Mineralogy across Biogeochemical Facies

机译:跨生物地球化学相的微生物群落生物地球化学和矿物学之间的耦合

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摘要

Physical properties of sediments are commonly used to define subsurface lithofacies and these same physical properties influence subsurface microbial communities. This suggests an (unexploited) opportunity to use the spatial distribution of facies to predict spatial variation in biogeochemically relevant microbial attributes. Here, we characterize three biogeochemical facies—oxidized, reduced, and transition—within one lithofacies and elucidate relationships among facies features and microbial community biomass, richness, and composition. Consistent with previous observations of biogeochemical hotspots at environmental transition zones, we find elevated biomass within a biogeochemical facies that occurred at the transition between oxidized and reduced biogeochemical facies. Microbial richness—the number of microbial taxa—was lower within the reduced facies and was well-explained by a combination of pH and mineralogy. Null modeling revealed that microbial community composition was influenced by ecological selection imposed by redox state and mineralogy, possibly due to effects on nutrient availability or transport. As an illustrative case, we predict microbial biomass concentration across a three-dimensional spatial domain by coupling the spatial distribution of subsurface biogeochemical facies with biomass-facies relationships revealed here. We expect that merging such an approach with hydro-biogeochemical models will provide important constraints on simulated dynamics, thereby reducing uncertainty in model predictions.
机译:沉积物的物理特性通常用于定义地下岩相,而这些相同的物理特性会影响地下微生物群落。这表明有(未开发的)机会利用相的空间分布来预测生物地球化学相关微生物属性的空间变化。在这里,我们在一个岩相中表征了三个生物地球化学相(氧化,还原和过渡),并阐明了相特征与微生物群落生物量,丰富度和组成之间的关系。与以前在环境过渡带生物地球化学热点的观察结果一致,我们发现在生物地球化学相中氧化和还原生物地球化学相之间的过渡发生的生物量升高。在减少的相中,微生物丰富度(微生物分类单元的数量)较低,并且通过pH和矿物学的组合可以很好地解释。无模型显示微生物群落组成受氧化还原状态和矿物学所强加的生态选择的影响,这可能是由于对养分供应或运输的影响。作为一个说明性案例,我们通过将地下生物地球化学相的空间分布与此处揭示的生物质相关系耦合,来预测三维空间域中的微生物生物质浓度。我们期望将这种方法与水生地球化学模型合并将对模拟动力学提供重要的约束,从而减少模型预测的不确定性。

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