Abstract ID: 3.10855 | Accepted as Talk | Talk/Oral | TBA | TBA

Mountain regions are currently undergoing significant climatic and socioeconomic changes. A comprehensive understanding of these ongoing processes is necessary to diagnose sustainability issues and to support decision-making in mountain areas. Ostrom’s social-ecological system (SES) framework facilitates the consideration of human and natural components, and their interactions and outcomes, as parts of a same system. Despite a wide range of applications of the framework to specific case studies, interactions among SES components are often given less importance than system drivers or outcomes. Moreover, among the multiple challenges encountered in SES science, the integration of different types of data at suitable time and spatial scales remains a challenge in multi-, inter- and transdisciplinary studies.
This study focuses on the Southeastern Pyrenees, where a shift from an agriculture-based economy to a focus on tourism has taken place over the past century. This transition has promoted urbanization and immigration, counteracting population decline. In addition, the already difficult issue of water availability is expected to further intensify due to climate change.
We propose a modelling approach to explicitly model social-ecological system interactions using quantitative multidisciplinary mountain data available from public databases. The application of this approach to diagnose sustainability issues in a Pyrenean SES will be presented, as well as its integration in a broader modelling framework potentially serving as a tool to inform decision making. Challenges and limitations encountered during data collection and modelling, and the replicability and comparability of the analyses in other mountain areas will be discussed.