A Participatory Modeling Process to Capture Indigenous Ways of Adaptability to Uncertainty Outputs From an Experiment in West African Drylands

Over the centuries, local communities have shaped atypical rules to deal with the uncertainty of their environment. They have developed complex prototypes for flexible overlapping institutions and arrangements to adapt their rules and uses to their uncertain environment. Today, this indigenous way o...

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Bibliographic Details
Published in:Ecology and society Vol. 18; no. 4; pp. 203 - 221
Main Authors: d'Aquino, Patrick, Bah, Alassane
Format: Journal Article
Language:English
Published: Ottawa Resilience Alliance 01-01-2013
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Summary:Over the centuries, local communities have shaped atypical rules to deal with the uncertainty of their environment. They have developed complex prototypes for flexible overlapping institutions and arrangements to adapt their rules and uses to their uncertain environment. Today, this indigenous way of flexibly institutionalizing access rules could provide blueprints for dealing with uncertainty issues resulting from global change as well as designing practical guidelines for implementing resilient management. However, transforming indigenous skills for developing institutional flexibility into operational management rules that are appropriate in the current environmental and socioeconomic context is a huge challenge. However, communities could easily succeed in this reframing because the structuring principles of institutional flexibility are embedded in their mind frame. In this perspective, a participatory modeling process was applied in Senegal to explore, first, how to design a methodological platform to enable local people to shape different forms of environmental management and policies they consider appropriate in the new context of environmental uncertainty by drawing on their own attitudes to environmental management. Second, to increase the value of such “self-designed” outputs in improving knowledge about, and improving, the practical management of uncertainty, especially in drylands.
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ISSN:1708-3087
1708-3087
DOI:10.5751/ES-05876-180416