Habitat mapping, understood as the collection of information relating to the recognition and localization of natural environments in a specific database, assumes the latter as the fundamental territorial units capable of containing and representing the extraordinary mosaic of biological diversity. The cartographic rendering obtained constitutes a first specific-thematic analysis within the perimeters of SCI and SPAs, a sort of zoning within the Natura 2000 Network aimed at summarizing a complex and multifunctional information content. The final objective is a cognitive picture, as accurate and complete as possible, of the distribution of habitats and the constant and updated monitoring of evolutionary changes. It is understood that the Map, due to its nature of organized collection of all georeferenced information relating to habitats, has the purpose of illustrating and not of certifying and has all the limits of a continuously evolving activity and of a simplified representation of the reality. It does not constitute a norm, but rather a cognitive reference valid at the update date, but not exhaustive. As such, it will be of assistance to all those who wish to delve deeper into territorial analyses, but cannot replace other cognitive activities aimed at planning and evaluating the impact of plans, projects and interventions on the areas of the Nature Network, the implementation of which envisages, in case by chance, different scales of study of the phenomena. The general objective of the work is, in fact, to build and share a real inventory of habitats that represents the memory of knowledge on the natural and semi-natural environments of Natura 2000 value in terms of distribution and localization, a general collection of georeferenced information that can be updated and which can be explored further whenever new observations are produced. The Map aims to collect available information only on habitats of community interest (and on 5 other habitats identified for the purposes of this survey for their naturalistic relevance at a regional level).