Adapting Science to Adaptive Managers: Spidergrams, Belief Models, and Multi-agent Systems Modeling

作者: Timothy Lynam , Francois Bousquet , Christophe Le Page , P. d'Aquino , Olivier Barreteau

DOI: 10.5751/ES-00320-050224

关键词:

摘要: Two case studies are presented in which models were used as focal tools problems associated with common-pool resource management developing countries. In the first study, based Zimbabwe, Bayesian or Belief Networks a project designed to enhance adaptive capacity of community semiarid rangeland system. second Senegal, multi-agent systems context role plays communicate research findings community, well explore policies for improved rangelands and arable lands over herders farmers conflict. The paper provides examples use computer-based modeling stakeholders who had limited experience computer numerical analyses. closes brief discussion major lessons learned from two independent studies. Perhaps most important lesson was development common understanding problem through key stakeholders. A need be if it benefit managers. Both study situations required significant changes orientation stakeholder needs defined. recognized that research, particularly models, played bring different actors together formulate strategies policies. Participatory engagement is time-consuming relatively costly process which, studies, costs born by projects themselves. We raise concern these activities may not widely replicable such reduced (Resume d'auteur)

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