Chevallier A., Banton E., Moullec F., Morell Alaia, Abello C., Pita-Vaca I., Peck M. A., Ernande B., Shin Yunne-Jai. (2025). Participatory downscaling of global SSP-RCP scenarios to local fisheries social-ecological systems. Sustainability Science, [Early access], p. [20 p.]. ISSN 1862-4065.
Titre du document
Participatory downscaling of global SSP-RCP scenarios to local fisheries social-ecological systems
Année de publication
2025
Auteurs
Chevallier A., Banton E., Moullec F., Morell Alaia, Abello C., Pita-Vaca I., Peck M. A., Ernande B., Shin Yunne-Jai
Source
Sustainability Science, 2025,
[Early access], p. [20 p.] ISSN 1862-4065
Policymakers and managers need projections of the trajectories of change in human societies and natural ecosystems to plan actions to address the potential consequences of global change. There are many projections at the global scale, but these need to be downscaled to local marine social-ecological systems to plan targeted interventions. We aimed to provide policy-relevant projections of the consequences of climate change and socio-economic orientations for the fisheries of the French North Sea and the Mediterranean. Our approach consisted of a downscaling of global scenarios of IPCC Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) for the 2100 horizon. We engaged with fisheries managers, policymakers, scientific experts, and NGOs, and co-constructed four contrasting scenarios through interdisciplinary participatory workshops. Our approach ensured strong anchoring in regional, national, and local contexts and provided references to fisheries scenarios. We then conducted a novel comparative analysis of SSP-RCP scenario narratives from different local marine social-ecological systems in the same country. Across all scenarios, 83% of the themes highlighted by the stakeholders were common between the two social-ecological systems. However, within the themes, at a more detailed level, only 30% of the narrative elements were mentioned in both systems, reflecting the specificity and richness of these downscaled scenarios and their relevance to local management. We also integrated disruptive changes and emotional aspects by conducting a novel standardized emotion analysis using an artificial intelligence language model. Overall, these downscaled scenarios identified pathways to be avoided, as well as potential actions for transformative change, mitigation, and adaptation to global change at the local scale. Our protocol allowed us to address some criticisms of SSP-RCP scenarios by helping to bridge science-policy gaps and to focus more on human-nature relationships.
Plan de classement
Sciences du milieu [021]
;
Ressources halieutiques [040]
;
Etudes, transformation, conservation du milieu naturel [082]
Description Géographique
FRANCE ; MEDITERRANEE ; ATLANTIQUE ; LION GOLFE ; MER DU NORD
Localisation
Fonds IRD [F B010093346]
Identifiant IRD
fdi:010093346