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arxiv: q-bio/0504020 · v1 · submitted 2005-04-16 · 🧬 q-bio.PE · cond-mat.stat-mech

Evolutionary ecology in-silico: Does mathematical modelling help in understanding the "generic" trends?

classification 🧬 q-bio.PE cond-mat.stat-mech
keywords evolutionarymodelsecologicalecologyecosystemsmathematicalrecentunified
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Motivated by the results of recent laboratory experiments (Yoshida et al. Nature, 424, 303-306 (2003)) 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 the proper 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 wider audience.

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