Published: May 15, 2023
Evolution by natural selection is commonly described as ‘survival of the fittest,’ and this at first sounds simple enough. However, in populations, it can be entirely unclear who ‘the fittest’ really are because that depends on a multitude factors influences, many which constantly changing some depend size properties population. Mathematical models evolution tend to neglect complexity, making difficult judge whether they give an accurate account evolution. In my thesis, I used more versatile simulation approach considers members population individually, along with landscape inhabit. Specifically, constructed for movement competition strategies various ecological scenarios. These incorporate than usually considered almost develop life their own, rules interaction can, certain extent, evolve themselves. My simulations reveal does often not converge steady state but rather lead oscillations or rapid switches between alternative states. Ecological evolutionary processes act similar timescales, impossible understand them isolation. addition these studies, thesis also contains work mathematical models. particular, demonstrate small changes senescence produce surprising new insights explain high early-life mortality organisms.
Language: Английский