Adaptation to climate change of Italian agricultural systems: the role of adaptive governance and social learning

摘要: Agriculture sustainability in the changing climate world is a difficult issue for both research and policy communities. While scientists are still struggled with CC knowledge uncertainties. Policy makers stuck understanding impacts order to develop implement policies ensure an optimal level of adaptation. Several questions emerged this context who what adapts, they adapt which levels need adapt. Through empirical study at Oristano (Italy) 4 representative Italian agricultural systems, aimed examine local farmers’ adaptation capacity uncertainty. The was designed flexibly phases as guided by Grounded Theory Methodology. Participatory bottom-up approach adopting methods such interviews or questionnaires, meetings workshops developed during 3 years trigger interactions with/among stakeholders, engage their participation open new space social learning occurrence. The results provided insight about perceptions, knowledge, attitude practices coping uncertainties, importantly scenarios systems. It also highlighted several theoretical frameworks, that have significant implications policy, on emerging processes forming adaptive governance levels.