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Integrating adaptive governance and participatory multicriteria methods: a framework for climate adaptation governance

Stefania Munaretto, Institute for Environmental Studies (IVM), VU University Amsterdam
Giuseppina Siciliano, Centre for Development, Environment and Policy (CeDEP), School of Oriental and African Studies (SOAS), University of London
Margherita E. Turvani, Department of Design and Planning in Complex Environments, University IUAV of Venice

DOI: http://dx.doi.org/10.5751/ES-06381-190274

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Abstract

Climate adaptation is a dynamic social and institutional process where the governance dimension is receiving growing attention. Adaptive governance is an approach that promises to reduce uncertainty by improving the knowledge base for decision making. As uncertainty is an inherent feature of climate adaptation, adaptive governance seems to be a promising approach for improving climate adaptation governance. However, the adaptive governance literature has so far paid little attention to decision-making tools and methods, and the literature on the governance of adaptation is in its infancy in this regard. We argue that climate adaptation governance would benefit from systematic and yet flexible decision-making tools and methods such as participatory multicriteria methods for the evaluation of adaptation options, and that these methods can be linked to key adaptive governance principles. Moving from these premises, we propose a framework that integrates key adaptive governance features into participatory multicriteria methods for the governance of climate adaptation.

Key words

adaptive capacity, climate change, decision-making tools, experimentation, learning, participation

Copyright © 2014 by the author(s). Published here under license by The Resilience Alliance. This article  is under a Creative Commons Attribution-NonCommercial 4.0 International License.  You may share and adapt the work for noncommercial purposes provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license.

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Ecology and Society. ISSN: 1708-3087