Limited resources and evolutionary learning may help to understand the mistimed reproduction in birds caused by climate change.

We present an agent-based model inspired by the Evolutionary Minority Game (EMG), albeit strongly adapted, to the case of competition for limited resources in ecology. The agents in this game become able, after some time, to predict the a priori best option as a result of an evolution-driven learning process. We show that a self-segregated social structure can emerge from this process, i.

Reaction-diffusion wave fronts: multigeneration biological species under climate change.

A generalization of reaction-diffusion models to multigeneration biological species is presented. It is based on more complex random walks than those in previous approaches. The new model is developed analytically up to infinite order.