This book is a brief, yet efficient, introduction to the workings of ecological models. The author introduces the main classes of deterministic and stochastic methods currently in use in ecological research, e.g. matrix models, random walks, Markov processes, systems of ordinary differential equations and partial differential equations. The book uses simple, classic approaches found in the literature to introduce the fundamental principles underlying even the most advanced approaches (density dependence and regulation, population structure, equilibrium and stability, convergence, dispersion and diffusion). It always keeps a close connection with experimental data and quickly gives a feel for the practical issues involved in modelling specific systems.

The merit of the book is the clear focus on concepts rather than on the details of implementing modelling techniques. This allows the author to cover a broad spectrum of approaches without the need for advanced mathematics and makes the book an interesting groundwork for more advanced textbooks covering topics such as spatial, numerical and computational modelling.

In conclusion, this book contains the most essential information to decrypt the current mathematical literature in ecology. It is presented simply, with applications in mind. It should be of great use to newcomers wanting to get started in ecological modelling.