Abstract
Strategies for adapting to climate change are crucial to sustain human development while ensuring the supply of ecosystem services, especially in mid-altitude mountains. This paper presents main methodological developments and results of an inter- and transdisciplinary research that was applied to the Vercors massif in southeastern France. The approach linked regional climate projections with impacts on social-ecological systems and socio-economic activities, as well as adaptation capacities and management responses. We built on an extensive participatory process and an in-depth analysis of expert and local knowledge. This process provided a generic and transdisciplinary knowledge model together with an integrated framework for adaptation management (AMS-MAIA method). Our analyses showed that many adaptation practices were already underway in the study area, implicitly or explicitly, and highlighted key functions and some relevant cross-sectoral insights for adaptation. The research also assisted in collecting information on climate sensitivity through social-ecological indicators across spatial units. It provided resources and a prototype of web-based tools to assist local communities in setting up cross-sectoral adaptation strategies. We thus offer an original method for governing adaptation based on management standards and continuous improvement, while highlighting limitations of such formal and stringent approaches that require social and political license.
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Notes
Interdisciplinary research: an enrichment through the sharing of knowledge of its own disciplinary field by deepening a particular approach, while preserving a cohesive frame of reference (Nicolescu 1996) and without ignoring the others.
Transdisciplinary research: “a comprehensive, multiperspective, problem- and solution-oriented approach that transcends disciplinary boundaries and bridges science and practice” (Hoffman et al. 2017).
Definition from WMO GFCS (World Meteorological Organization, Global Framework for Climate Services): “Climate services provide climate information to help individuals and organisations make climate smart decisions.” (https://gfcs.wmo.int/what-are-climate-services).
Business Analysis Body of Knowledge, BABOK 3.0; https://www.iiba.org/standards-and-resources/babok/
Sealed envelope n°23,425, 2018, IESF (French registration; https://www.iesf.fr/752_p_50544/plis-cachetes.html).
AIM, Ardans Information Maker (https://www.ardanssoftware.com/solutions/information-maker).
DRIAS, futures of climat accompanied by a set of indicators (http://www.drias-climat.fr/).
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Acknowledgements
This project has benefited from the key support of the staff of the French Prealps Regional Natural Parks, and from the extensive mobilisation of the researchers and engineers of the INRAE Grenoble research centre. We thank CNRM colleagues involved in this work, in particular Raphaëlle Samacoïts for producing Fig. 3. Many colleagues from research support teams also offered their assistance for this research, and we would like to thank all of them, while extending a special thanks to Emmanuel Jonas, who made a major contribution in the field of business analysis and quality management and to Arnaud Cosson for his valuable insight as a sociologist of organisations. We would also like to acknowledge the team of contractual engineers in charge of the operational course of the project for their investment and significant participation, with particular recognition of Delphine Piazza-Morel.
Funding
This project was funded by the French Ministry of the Environment. The work of maturation and transfer of the research results was supported by the Technology Transfer Acceleration Company SATT Linksium in Grenoble and INRAE. LESSEM and CNRM/CEN are part of LabEX OSUG@2020. This study contributes to the Trajectories Cross-Disciplinary Project (CDP) Trajectories funded by the French Agence Nationale pour la Recherche within the framework of the IDEX project of Grenoble-Alpes University.
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Tschanz, L., Arlot, MP., Philippe, F. et al. A transdisciplinary method, knowledge model and management framework for climate change adaptation in mountain areas applied in the Vercors, France. Reg Environ Change 22, 15 (2022). https://doi.org/10.1007/s10113-021-01862-3
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DOI: https://doi.org/10.1007/s10113-021-01862-3