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Species diversity and assembly history in ecological communities: Microcosm experiments and computer simulations.

机译:生态群落中的物种多样性和组装历史:微观世界实验和计算机模拟。

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Despite its academic and applied importance, it has proven difficult to understand patterns of species diversity. This is in large part because multiple processes operating at various scales interact to influence diversity patterns emerging at different scales. Here I examine how the history of community assembly may interact with other ecological variables to influence species diversity. I consider four variables: the level of productivity, the size of ecosystem, the rate of dispersal, and the size of species pool. These variables have received considerable attention as major determinants of species diversity. However, their joint effects with assembly history remain largely unexplored. In a laboratory experiment with bacteria, algae, protists, and rotifers, I show that assembly history can interact with productivity to create a remarkable variety of productivity-diversity patterns. In another experiment, I show that community assembly can interact with ecosystem size to affect diversity and that, through this interaction, assembly history can dictate when a significant size-diversity relationship is observed. Using computer simulations of community assembly, I also show that internal and external dispersal, though generally studied separately, reciprocally provide the context in which the other influences diversity at multiple spatial scales. I further show that assembly history and the size of the species pool can jointly affect diversity patterns and that their interaction has implications for determining the relative importance of local and regional processes governing diversity. One common theme that emerges from these studies is the presence of significant historical effects in the absence of alternative stable states. Overall, these studies suggest that it is promising, though rarely attempted, to incorporate the dynamics of community assembly into a conceptual framework for species diversity.
机译:尽管具有学术和应用重要性,但事实证明它很难理解物种多样性的模式。这在很大程度上是因为以不同规模运作的多个流程相互影响,从而影响以不同规模出现的多样性模式。在这里,我研究了社区集会的历史如何与其他生态变量相互作用以影响物种多样性。我考虑了四个变量:生产力水平,生态系统规模,扩散速度和物种库规模。这些变量已作为物种多样性的主要决定因素而受到广泛关注。但是,它们与装配历史的共同影响在很大程度上尚待探索。在针对细菌,藻类,原生生物和轮虫的实验室实验中,我证明了装配历史可以与生产率相互作用,从而创造出各种生产率-多样性模式。在另一个实验中,我证明了社区组装可以与生态系统规模相互作用以影响多样性,并且通过这种相互作用,组装历史可以决定何时观察到显着的尺寸-多样性关系。使用计算机模拟的社区集会,我还表明,内部和外部分散,尽管通常进行了单独研究,但相互提供了一个背景,在该背景下其他因素在多个空间尺度上影响多样性。我进一步表明,集会历史和物种库的规模可以共同影响多样性模式,它们的相互作用对确定支配多样性的地方和区域进程的相对重要性具有影响。这些研究中出现的一个共同主题是,在没有其他稳定状态的情况下,存在着重大的历史影响。总体而言,这些研究表明,尽管很少尝试,但有望将社区聚集的动力纳入物种多样性的概念框架。

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