A data model to support the adaptation process - Modeling Asset for an Improved Adaptation (MAIA)

Abstract

To face climate change, highland territorial communities set up sectoral adaptations. This article presents a model of capitalization and linking of these adaptation practices (tested or envisaged). This model makes it possible to move from a sectoral to an integrated and intelligent adaptation, aware of implications and synergies between several sectors of activities over a given territory. The model's concepts are presented in UML (Unified Modeling Language), a graphical modeling language used to design computer systems. The objective is to use these concepts in order to build a web application dedicated to climate change adaptation practices, which could support governance of territorial communities. Conducted within the context of the AdaMont (2015-2017) project, this operational aim may justify the establishment of new scientific and technical partnerships.