Describing space-time patterns in aquatic ecology using IBMs and scaling and multi-scaling approaches

The large spatio-temporal data sets of abundances of total population are analysed statistically. Spatial and temporal patterns are investigated using models and data analysis techniques initially developed in the fields of turbulence and nonlinear physics (e.g. scaling and multi-scaling approaches for data analysis and stochastic simulation). Finally, the role of simulation tools for theoretical studies is discussed in this paper.