Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2005-04-16
Review Article in "Journal of Biosciences", vol.30, 277-287 (2005)
Biology
Quantitative Biology
Populations and Evolution
28 pages, LATEX, 4 eps figures
Scientific paper
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.
Chowdhury Debashish
Stauffer Dietrich
No associations
LandOfFree
Evolutionary ecology in-silico: Does mathematical modelling help in understanding the "generic" trends? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Evolutionary ecology in-silico: Does mathematical modelling help in understanding the "generic" trends?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Evolutionary ecology in-silico: Does mathematical modelling help in understanding the "generic" trends? will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-88875