000K utf8 1100 $c2016 1500 eng 2050 urn:nbn:de:gbv:8-diss-181509 3000 Li, Xiang-Yi 4000 Applying evolutionary game theory in modeling life history evolution and bacterial population dynamics$hChristian-Albrechts-Universität zu Kiel [Li, Xiang-Yi] 4030 Kiel$nChristian-Albrechts-Universität zu Kiel 4209 One major innovation in this thesis project is to build a system that takes into account both aspects and connects the two theoretical frameworks. This is realised by defining age/life-stage dependent strategies. Besides an analytical and numerical study of abstract mathematical models, this thesis also includes collaborative projects with experiments in real biological systems. In one modelling project, we show how complex population dynamics can emerge from a simple system of two bacteria species, under frequency dependent selection. 4950 https://nbn-resolving.org/urn:nbn:de:gbv:8-diss-181509$xR$3Volltext$534 4961 https://macau.uni-kiel.de/receive/diss_mods_00018150 5051 570 5550 bacterial population dynamics 5550 Evolutionary game theory 5550 life history evolution 5550 Lotka-Volterra dynamics 5550 replicator dynamics