Published online by Cambridge University Press: 14 July 2016
Stochastic models for the origin and extinction of species have been rather neglected in applied probability. As an alternative to modelling speciation and extinction as intrinsically random, I shall describe and show simulations of a rulebased model. This involves mathematical representations of notions such as genetic type of species, environmental niche, fitness of a species in a niche, and adaptation. There are underlying random mechanisms for changes of niche sizes and for disconnection and reconnection of geographical regions, and these ultimately drive the evolution of species.
Other approaches to mathematical modelling of evolution are briefly mentioned.
Research supported by N.S.F. Grant DMS92-24857 and by the Miller Institute for Basic Research in Science.
Presented as the second Applied Probability Lecture in Sheffield, July 1993.