Stochastic and deterministic assembly processes in subsurface microbial communities

A major goal of microbial community ecology is to understand the forces that structure community composition. Deterministic selection by specific environmental factors is sometimes important, but in other cases stochastic or ecologically neutral processes dominate. Lacking is a unified conceptual framework aiming to understand why deterministic processes dominate in some contexts but not others. Here we work toward such a framework. By testing predictions derived from general ecological theory we aim to uncover factors that govern the relative influences of deterministic and stochastic processes. We couple spatiotemporal data on subsurface microbial communities and environmental parameters with metrics and null models of within and between community phylogenetic composition. Testing for phylogenetic signal in organismal niches showed that more closely related taxa have more similar habitat associations. Community phylogenetic analyses further showed that ecologically similar taxa coexist to a greater degree than expected by chance. Environmental filtering thus deterministically governs subsurface microbial community composition. More importantly, the influence of deterministic environmental filtering relative to stochastic factors was maximized at both ends of an environmental variation gradient. A stronger role of stochastic factors was, however, supported through analyses of phylogenetic temporal turnover. Although phylogenetic turnover was on average faster than expected, most pairwise comparisons were not themselves significantly non-random. The relative influence of deterministic environmental filtering over community dynamics was elevated, however, in the most temporally and spatially variable environments. Our results point to general rules governing the relative influences of stochastic and deterministic processes across micro- and macro-organisms.     

华北区域环境梯度上阔叶林构建模式及分布成因

森林群落的构建即多样性维持机制是当今生态学研究的热点问题。然而, 当前群落构建和群落多样性的研究多在间接梯度上进行, 而在水、热等影响物种在区域内定植的关键且直接的环境梯度上研究群落构建和多样性模式则鲜有报道。结合环境因子, 基于物种组成和谱系方法探讨不同群落的分布成因, 有助于解释群落构建过程中的关键问题。该研究基于华北森林群落调查数据和环境数据, 涉及7个省市区的29个以壳斗科、桦木科为优势种的群落, 探讨了直接环境梯度上的群落构建和多样性模式, 同时用典范对应分析研究了不同群落分布的环境解释。结果发现, 相似的群落具有相似的生境偏好, 相似的生境条件会形成物种组成相同或相似的群落。环境热量主导了本区域的谱系关系, 在年平均气温较低的地区, 群落构建主要表现为生境过滤的模式。此外, 随着年降水量的增加, 生境过滤作用逐渐增加。在温度梯度上, 谱系多样性表现为钟形模式, 而降水量的增加能导致谱系多样性的增加。