Evolutionary graph theory derived from eco-evolutionary dynamics

A biologically motivated individual-based framework for evolution in network-structured populations is developed that can accommodate eco-evolutionary dynamics. This used to construct a network birth and death model. The evolutionary graph theory model, which considers dynamics only, derived as special case, highlighting additional assumptions diverge from real biological processes. achieved by introducing negative ecological feedback loop suppresses forcing births deaths be coupled. We also investigate how fitness, measure of reproductive success theory, related the life-history individuals terms their rates. In simple networks, these ecologically are provide new insight into spread adaptive mutations, both with without clonal interference. For example, star network, known an amplifier selection inhibit mutations when die naturally.