The development of effective policies against land take should be based on a deep knowledge of the specific land use dynamics and their determinants in a regional context. To this end, the traditional quantitative land use change analyses need to be integrated with a more accurate spatial and qualitative evaluation of the effects of the land use zoning of municipal land development plans and of the connected supplementary regulations (e.g., local building regulations). Land take limitation policies in Italy are largely based on the definition of quantitative thresholds for new development zones, while ignoring all those undeveloped zones that have been assigned building rights codes by plans of which the knowledge could largely impact policies. This paper attempted to define a conceptual framework of analysis which integrates a land use change assessment with an analysis in a Geographic Information System (GIS) environment of the spatial distribution of normative zones. The method was tested on the Friuli Venezia Giulia region (north-east Italy)—a territory that has experienced rapid growth in recent decades—by analyzing the spatial impact of the recently promulgated regional laws on land take control, the explicit and specific purpose of which was to limit commercial and industrial land use in the whole region. The soil sealing data were analyzed by performing a cross-comparison with the building rights permissions data, thus achieving a comprehensive evaluation of the past and predicted land take for commercial and industrial uses. Results demonstrated that the expected land take will exceed the past urbanization rate, highlighting a substantial inefficacy of the promulgated regional laws in promoting local land take control. The main innovations of this study relate to the definition of a newer qualitative methodology for framing an efficient decision-making supporting system, while helping to achieve the long-term sustainability of policies.

Green infrastructure (GI) networks comprising multiple natural and artificial habitats are important tools for the management of ecosystem services. However, even though ecosystem services are deeply linked with the state of biodiversity, many approaches to GI network planning do not explicitly consider the ecological needs of biotic communities, which are often threatened by anthropic activities even in presence of protected areas. Here, to contribute in fill this gap, we describe an easy-to-apply, biodiversity-centric approach to model an ecological network as a backbone for a GI network, based on the ecological needs of a range of representative species. For each species, ideal habitats (nodes) were identified, and crossing costs were assigned to other habitat types depending on their compatibility with the species ecology. Corridors linking the nodes were then mapped, minimizing overall habitat crossing costs. We applied the method to the Isonzo–Vipacco river area in Northern Italy, highlighting a potential ecological network where nodes and corridors occupied 27% and 11.8% of the study area, respectively. The prospective of its conflicts with anthropic activities and possible solutions for its implementation was also discussed. Our method could be applied to a variety of situations and geographic contexts, being equally useful for supporting the protection of entire biocenoses or of specific sensitive species, as well as enhancing the ecosystem services they provide.