School of Life Sciences, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK.
Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK.
Proc Biol Sci. 2019 Nov 6;286(1914):20191890. doi: 10.1098/rspb.2019.1890. Epub 2019 Oct 30.
The idea that 'everything is everywhere, but the environment selects' has been seminal in microbial biogeography, and marine phytoplankton is one of the prototypical groups used to illustrate this. The typical argument has been that phytoplankton is ubiquitous, but that distinct assemblages form under environmental selection. It is well established that phytoplankton assemblages vary considerably between coastal ecosystems. However, the relative roles of compartmentalization of regional seas and site-specific environmental conditions in shaping assemblage structures have not been specifically examined. We collected data from coastal embayments that fall within two different water compartments within the same regional sea and are characterized by highly localized environmental pressures. We used principal coordinates of neighbour matrices (PCNM) and asymmetric eigenvector maps (AEM) models to partition the effects that spatial structures, environmental conditions and their overlap had on the variation in assemblage composition. Our models explained a high percentage of variation in assemblage composition (59-65%) and showed that spatial structure consistent with marine compartmentalization played a more important role than local environmental conditions. At least during the study period, surface currents connecting sites within the two compartments failed to generate sufficient dispersal to offset the impact of differences due to compartmentalization. In other words, our findings suggest that, even for a prototypical cosmopolitan group, everything is not everywhere.
“万物处处皆有,但环境选择”这一观点在微生物生物地理学中具有重要意义,海洋浮游植物就是用来阐明这一观点的典型群体之一。通常的观点是浮游植物无处不在,但在环境选择下会形成不同的组合。已经证实浮游植物组合在沿海水域生态系统中存在很大差异。然而,区域海洋分隔和特定地点环境条件在塑造组合结构中的相对作用尚未得到具体研究。我们从属于同一区域海域的两个不同水团的沿海港湾收集数据,这些港湾具有高度本地化的环境压力。我们使用主坐标邻居矩阵(PCNM)和非对称特征向量图(AEM)模型来划分空间结构、环境条件及其重叠对组合组成变化的影响。我们的模型解释了组合组成变化的很大一部分(59-65%),并表明与海洋分隔一致的空间结构比局部环境条件发挥了更重要的作用。至少在研究期间,连接两个隔室中站点的表面流未能产生足够的扩散来抵消由于分隔造成的差异的影响。换句话说,我们的研究结果表明,即使对于典型的世界性群体,也并非万物无处不在。