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