Before revision:  In realistic settings, for population living in a fluid environment, it is largely unknown, both theoretically and experimentally, how the phenomenology of Population Dynamics is changed by the presence of turbulence. Effective compressibility can arise, for example, from the convergence and divergence of water masses at which passively URLanisms are restricted to live. The flow can significantly diminish the effect of selective advantage on fixation probabilities. Selective advantage means the ability of one species to growth faster than others. However, because of number fluctuations a relatively small selective advantage may not be successful since the characteristic time scale is much smaller than the one associated to turbulent effects. This project, focus on the enhancement or inhibition of selective advantage in PD subject to advection of compressible turbulence.
After revision:  In realistic settings, for population living in a fluid environment, it is largely unknown, both theoretically and experimentally, how the phenomenology of Population Dynamics is changed by the presence of fluid flows. Discrete agent-based simulations in continuous space allow for accurate treatment of advection and number fluctuations, but can be computationally expensive for even URLanism densities. In this report, we propose a new algorithm to overcome some of these challenges. We first provide a thorough validation of the algorithm in one and two dimensions without flow. Next, we focus on the enhancement or inhibition of selective advantage in PD subject to advection of compressible turbulence.