Authors: Fabien Campillo ¹; Rivo Rakotozafy ²; Vivien Rossi ³

• 1 Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme
• 2 Université de Fianarantsoa
• 3 Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Computational probabilistic modeling and Bayesian inference has met a great success over the past fifteen years through the development of Monte Carlo methods and the ever increasing performance of computers. Through methods such as Monte Carlo Markov chain and sequential Monte Carlo Bayesian inference effectively combines with Markovian modelling. This approach has been very successful in ecology and agronomy. We analyze the development of this approach applied to a few examples of natural resources management.