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虚拟进化生态学:数学建模有助于理解“一般”趋势吗?

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

作者信息

Chowdhury Debashish, Stauffer Dietrich

机构信息

Physics Department, Indian Institute of Technology, Kanpur 208 016, India.

出版信息

J Biosci. 2005 Mar;30(2):277-87. doi: 10.1007/BF02703709.

Abstract

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.

摘要

受近期实验室实验结果以及许多早期实地观察结果的推动,即进化变化可在相对较短的生态时间尺度内在生态系统中发生,在过去几年里已经开发了几个“统一”的进化生态学数学模型,目的是描述与生态系统进化相关的数据的统计特性。此外,由于有了足够快的计算机,对这些模型进行详细的计算机模拟已成为可能。为了全面起见,并使这些最新进展具有前瞻性,我们首先简要总结一些关于生态现象和进化过程的早期模型。然而,本文的主要目的是以通俗易懂的语言批判性地回顾这些“统一”模型,特别是那些发表在物理学文献中的模型,以便更广泛的读者能够理解这些新理论。

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