PT Unknown
AU Li, X
TI Applying evolutionary game theory in modeling life history evolution and bacterial population dynamics
PY 2016
PU Christian-Albrechts-Universität zu Kiel
WP https://macau.uni-kiel.de/receive/diss_mods_00018150
LA en
DE Evolutionary game theory; life history evolution; bacterial population dynamics; Lotka-Volterra dynamics; replicator dynamics
AB One major innovation in this thesis project is to build a system that takes into account both aspects and connects the two theoretical frameworks. This is realised by defining age/life-stage dependent strategies. Besides an analytical and numerical study of abstract mathematical models, this thesis also includes collaborative projects with experiments in real biological systems. In one modelling project, we show how complex population dynamics can emerge from a simple system of two bacteria species, under frequency dependent selection.
PI Kiel
ER