Data/hora: 06/06/2024 07:56:39

Provedor de dados: 	7	
País: 	Canada	
Título: 	Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical investigations	
Autores: 	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.	
Data: 	2016-03-29	
Ano: 	2016	
Palavras-chave: 	Collaborative governance; Connectivity; Exponential random graph models (ERGM); Interdisciplinary; Networks; Social-ecological fit; Social-ecological networks; Social-ecological systems.	
Resumo: 	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 explicit in taking these complex social-ecological interdependences into account. We show how this emerging research frontier can be significantly improved by incorporating recent advances in stochastic modeling of multilevel social networks. An empirical case study from an agricultural landscape in Madagascar is reanalyzed to demonstrate these improvements.	
Tipo: 	Peer-Reviewed Reports	
Idioma: 	Inglês	
Identificador: 	vol21/iss1/art40/	
Editor: 	Resilience Alliance	
Formato: 	text/html application/pdf	
Fonte: 	Ecology and Society; Vol. 21, No. 1 (2016)