Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical investigations

Bodin, Örjan, Robins, Garry, McAllister, Ryan R. J., Guerrero, Angela M., Crona, Beatrice, Tengö, Maria and Lubell, Mark (2016) Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical investigations. Ecology and Society, 21 1: . doi:10.5751/ES-08368-210140


Author Bodin, Örjan
Robins, Garry
McAllister, Ryan R. J.
Guerrero, Angela M.
Crona, Beatrice
Tengö, Maria
Lubell, Mark
Title Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical investigations
Journal name Ecology and Society   Check publisher's open access policy
ISSN 1708-3087
Publication date 2016
Year available 2016
Sub-type Article (original research)
DOI 10.5751/ES-08368-210140
Open Access Status DOI
Volume 21
Issue 1
Total pages 14
Place of publication Waterloo, ON, Canada
Publisher Resilience Alliance Publications
Collection year 2017
Language eng
Abstract 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.
Keyword Collaborative governance
Connectivity
Exponential random graph models (ERGM)
Interdisciplinary
Networks
Social-ecological fit
Social-ecological networks
Social-ecological systems
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 03 May 2016, 02:25:55 EST by System User on behalf of Learning and Research Services (UQ Library)