A biodiversity simulation framework
We have designed a simulation framework modelling biodiversity reduction to improve and validate conservation policies (in this context, choices about details collecting and area protection throughout a landscape) applying an RL algorithm. We carried out a spatially explicit person-dependent simulation to evaluate long term biodiversity improvements primarily based on organic procedures of mortality, alternative and dispersal. Our framework also incorporates anthropogenic processes such as habitat modifications, selective elimination of a species, rapid local climate alter and present conservation efforts. The simulation can incorporate hundreds of species and tens of millions of people today and observe inhabitants