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| Robins, Garry; Melbourne School of Psychological Sciences, University of Melbourne; garrylr@unimelb.edu.au; McAllister, Ryan R. J.; CSIRO; ryan.mcallister@csiro.au; 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; Crona, Beatrice; Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences; Stockholm Resilience Centre, Stockholm University; beatrice.crona@su.se; Lubell, Mark; Department of Environmental Science and Policy, University of California at Davis; mnlubell@ucdavis.edu. |
| When environmental processes cut across socioeconomic boundaries, traditional top-down government approaches struggle to effectively manage and conserve ecosystems. In such cases, governance arrangements that foster multiactor collaboration are needed. The effectiveness of such arrangements, however, depends on how well any ecological interdependencies across governed ecosystems are aligned with patterns of collaboration. This inherent interdisciplinary and complex problem has impeded progress in developing a better understanding of how to govern ecosystems for conservation in an increasingly interconnected world. We argue for the development of empirically informed theories, which are not only able to transcend disciplinary boundaries, but are also... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Collaborative governance; Connectivity; Exponential random graph models (ERGM); Interdisciplinary; Networks; Social-ecological fit; Social-ecological networks; Social-ecological systems. |
| Ano: 2016 |
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| 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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