论文标题

浮游社区的融合动力学

Coalescent dynamics of planktonic communities

论文作者

Martin, Paula Villa, Koldaeva, Anzhelika, Pigolotti, Simone

论文摘要

浮游生物社区非常多样化,包括大量稀有物种。这些稀有物种的动力学最好用基于个体的模型来描述。但是,由于做出现实预测所需的大量个人,基于个体的浮游物质多样性方法面临着重大困难。在本文中,我们通过空间合并模型研究浮游群落的多样性,该模型结合了海洋电流的运输。作为一个主要优势,我们的方法需要模拟许多人等于一个人感兴趣的样本大小,而不是整个社区的大小。通过理论分析和模拟,我们探索了合并模型等于基于个体的动力学的条件。作为应用程序,我们使用我们的模型来预测海洋电流对生物多样性的混乱对流的影响。我们得出结论,与基于个体的模型相比,合并方法允许模拟海洋微生物群落的效率要高得多。

Planktonic communities are extremely diverse and include a vast number of rare species. The dynamics of these rare species is best described by individual-based models. However, individual-based approaches to planktonic diversity face substantial difficulties, due to the large number of individuals required to make realistic predictions. In this paper, we study diversity of planktonic communities by means of a spatial coalescence model, that incorporates transport by oceanic currents. As a main advantage, our approach requires simulating a number of individuals equal to the size of the sample one is interested in, rather than the size of the entire community. By theoretical analysis and simulations, we explore the conditions upon which our coalescence model is equivalent to individual-based dynamics. As an application, we use our model to predict the impact of chaotic advection by oceanic currents on biodiversity. We conclude that the coalescent approach permits to simulate marine microbial communities much more efficiently than with individual-based models.

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