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Achieving social-ecological fit through bottom-up collaborative governance: an empirical investigation Ecology and Society
Guerrero, Angela M; Australian Research Council Centre of Excellence for Environmental Decisions, University of Queensland; School of Biological Sciences, University of Queensland; a.guerrero@uq.edu.au; McAllister, Ryan R. J.; Commonwealth Scientific and Industrial Research Organisation; ryan.mcallister@csiro.au; Wilson, Kerrie A; Australian Research Council Centre of Excellence for Environmental Decisions, University of Queensland; School of Biological Sciences, University of Queensland; k.wilson2@uq.edu.au.
Significant benefits can arise from collaborative forms of governance that foster self-organization and flexibility. Likewise, governance systems that fit with the extent and complexity of the system under management are considered essential to our ability to solve environmental problems. However, from an empirical perspective the fundamental question of whether self-organized (bottom-up) collaborative forms of governance are able to accomplish adequate fit is unresolved. We used new theory and methodological approaches underpinned by interdisciplinary network analysis to address this gap by investigating three governance challenges that relate to the problem of fit: shared management of ecological resources, management of interconnected ecological...
Tipo: Peer-Reviewed Reports Palavras-chave: Collaborative governance; Exponential Random Graph Modeling; Networks; Problem of fit; Scales; Social-ecological fit; Social-ecological systems.
Ano: 2015
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