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Evolutionary ecology in silico: Does mathematical modelling help in understanding `generic' trends?

机译:计算机进化生态学:数学建模是否有助于理解“一般”趋势?

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Motivated by the results of recent laboratory experiments, as well as many earlier field observations, that evolutionary changes can take place in ecosystems over relatively short ecological time scales, several a€?unifieda€? mathematical models of evolutionary ecology have been developed over the last few years with the aim of describing the statistical properties of data related to the evolution of ecosystems. Moreover, because of the availability of sufficiently fast computers, it has become possible to carry out detailed computer simulations of these models. For the sake of completeness and to put these recent developments in perspective, we begin with a brief summary of some older models of ecological phenomena and evolutionary processes. However, the main aim of this article is to review critically these a€?unifieda€? models, particularly those published in the physics literature, in simple language that makes the new theories accessible to a wider audience.
机译:根据近期实验室实验的结果以及许多较早的现场观察的结果,可以在相对较短的生态时间范围内,生态系统中发生进化变化,这些变化是统一的。过去几年中,已经开发了进化生态学数学模型,目的是描述与生态系统进化有关的数据的统计特性。此外,由于足够快的计算机的可用性,对这些模型进行详细的计算机仿真成为可能。为了完整起见,并从近期的发展情况出发,我们首先简要概述一些较旧的生态现象和进化过程模型。但是,本文的主要目的是严格审查这些统一的标准。这些模型,特别是以物理文献形式发表的模型,以简单的语言表达,使新理论可以为更多的读者所用。

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