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Toward the understanding of complex population dynamics: planktonic community as a model system

机译：理解复杂的人口动态：以浮游生物为模型系统

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Ecologists have long been interested in understanding population dynamics in nature. Although theoretical ecologists have shown that mathematical models can represent various dynamic behaviors, and empirical ecologists have confirmed that some types of dynamics actually exist in nature, we do not yet completely understand how population dynamics are driven. The list of possible mechanisms driving population dynamics is still growing. Here I review studies of population dynamics carried out both in the field and in the laboratory by my colleagues and myself. I first describe some population dynamics of planktonic organisms living in freshwater lakes, then introduce some mechanisms driving population dynamics, for which theoretical and empirical evidence has only recently begun to accumulate. I also discuss how and why laboratory microcosms are a useful tool in the study of population dynamics. Future challenges to the advance of our understandings of complex population dynamics in nature lie where three different approaches intersect: time-series data description, mathematical modeling, and laboratory and field experiments.
机译：长期以来，生态学家一直对了解自然界中的种群动态感兴趣。尽管理论生态学家已经证明数学模型可以代表各种动态行为，而经验生态学家已经证实自然界中确实存在某些类型的动力学，但是我们还没有完全理解人口动力学是如何被驱动的。推动人口动态的可能机制清单仍在增加。在这里，我回顾了我的同事和我在实地和实验室中进行的种群动态研究。我首先描述了生活在淡水湖泊中的浮游生物的一些种群动态，然后介绍了驱动种群动态的一些机制，为此，理论和经验证据只是最近才开始积累。我还将讨论实验室微观世界如何以及为什么在人口动态研究中是有用的工具。进一步了解自然界中复杂的人口动态的未来挑战在于三种不同的方法相交：时间序列数据描述，数学建模以及实验室和现场实验。

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