A large body of literature in the field of complex environmental systems management deals with stating the correct methodologies for the development of decision and information tools. One important issue in this direction is to take into account the consequences of decision and information support tools on the behaviour of individuals and organizations (McIntosh, 2011). This implies that user assessment information, system dynamics and process feedbacks have to be included into the design of such tools. In Laniak et al. (2013) the current state-of-the-art and future directions for the discipline of integrated environmental modelling are extensively discussed. McIntosh et al. (2011) and Van Delden et al. (2011) propose theoretical methods and best practices for developing DSSs. In particular, these three studies emphasize both an iterative design and a development process that enable social learning of the different groups involved, such as users, scientists and IT-specialists. Moreover, they underline the application of correct methodologies in the process of DSS development, including definition of the scope, choice of suitable pre-existing or ad-hoc models, bridging science and policy gaps, and implementation making use of language appropriate to the end-users. As will be clear in the following sections, the above mentioned guidelines are in very good agreement with the approach proposed in this paper.