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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 'unified' 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 'unified' models, particularly those published in the physics literature, in , simple language that makes the new theories accessible to a wider audience.
机译:受近期实验室实验的结果以及许多较早的现场观察的启发,进化变化可以在相对较短的生态时间范围内在生态系统中发生,最近几年开发了几种“统一”的进化生态数学模型,其中包括目的是描述与生态系统演变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,并以近期的发展情况为视角,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,本文的主要目的是用简单的语言批判性地审查这些“统一的”模型,尤其是在物理学文献中发表的那些模型,以使新理论可以为更多的读者所用。

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