A dynamic systems approach to evolutionary
branching and its development in an artificial food web is
presented. Predator-prey
interaction among
trophic species with two traits generates a variety of evolutionary
branching patterns, depending on interaction strengths and mutation
rates. Studying branching patterns in a phenotypic space reveals
three branching patterns: prey-bifurcation, predator-bifurcation,
and net-bifurcation. In particular, a complex food web network
emerges through net-bifurcation. A relationship between biomass
and
the number of species is analysed by changing the interaction
strength. We report that the branching and extinction rates of
trophic species reaches a maximum when the number of species, but
not the entire biomass, reaches a maximum.