In this contribution we present two examples of this. In both cases a prominent role is played by the logistic growth process (i.e. population growth limited by finite resources), but other ingredients are also included that strongly change the phenomenology. First, a phytoplankton population experiencing logistic growth is studied, but in interaction with zooplankton predators that maintain it in a state below the carrying capacity of the supporting medium. In the appropriate parameter regime the system behaves in an excitable way, with perturbations inducing large excitation-deexcitation cycles of the phytoplankton population. The excitation cycles become strongly affected by the presence of chaotic motion of the fluid containing the populations.

Second, an individual based model of interacting organisms is presented, for which logistic growth is again the main ingredient. Reproduction of a given individual is limited by the presence of others in a neighborhood of finite size. This nonlocal character of the interaction is enough to produce an instability of the basic state of particles homogenously distributed, and clustering of the individuals occurs, which form groups arranged in an hexagonal lattice (when the population lives in a two-dimensional space).

By introducing the logistic equation in the context of demographic modelling, J.F. Verhulst made seminal contributions to at least two important fields of research: The quantitative approach to Population Dynamics, and the basics of Nonlinear Science. The dynamics of biological populations in aquatic environments is an excellent framework to see recent developments in which these disciplines work together.

Financial support from MEC (Spain) and FEDER from grants CONOCE2 (FIS2004-00953) and IMAGEN (REN2001-0802-C02-01/MAR) is greatly acknowledged. C.L. is a Ramón y Cajal fellow.

The original publication is available at Springer website: http://www.springer.com/physics/book/978-3-540-28366-9.