Abstract
There are numerous frameworks for studying the governance of shared resources that have been discussed extensively in the literature. Although these frameworks have been applied to multiple case studies, these applications are often idiosyncratic, subject to the interpretation of the researcher, and raise concerns regarding the operational use of frameworks for case-study comparisons. As a result, insights from these studies have not lived up to the aspirations of the frameworks to generate generalizable knowledge. Here, based on several case studies and our experience using various frameworks for analyzing social-ecological systems, we undertake the task of providing a mechanism to systematically qualify interactions among ecological, social, institutional, and built infrastructure systems that impact the governance of shared resources. Specifically, we generate a series of archetypal social-ecological systems and extract from them a verb list to represent key interactions in the Robustness of Coupled Infrastructure Systems Framework. We then extend and refine the list based on three case studies of coastal social-ecological systems. We categorize these verbs and use them to demonstrate governance patterns across the case studies. We find that governance entities predominantly seek control over paths of change directed at lower governance levels rather than acting at their own level. Governance entities shed responsibility to lower governance levels without providing necessary resources. Finally, we find high potential for the cancelation of efforts due to lack of coordination among governance entities. The set of system archetypes and associated verb list is a first step in laying the foundation for a general typology of and a standardized protocol for representing the dynamics of CIS.
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Notes
There are several derivatives and extensions of the IAD and SES: Ghorbani et al. (2013) extend the IAD to the “Modeling Agent systems based on the Institutional Analysis” (MAIA) framework for agent-based simulation of SES. Hinkel et al. (2014) attempt to enhance the SES framework through formalization using very low-level language. The framework is well suited for formal analysis but difficult to operationalize for more empirical scholars. Schlüter et al. (2014) link variables with processes and processes to outcomes using tools from the scientific computing and modeling community to add the dynamics that the SES lacks. However, the utility of this approach is limited to scholars familiar with scientific computing language conventions. We consider these and other extensions as complementary to the Robustness Framework, but typically more specific to particular research communities.
This and more than 80 examples of example 2 archetypes collected by Ostrom and collaborators are cataloged in the Library on Governance in Social-Ecological systems (seslibrary.asu.edu). E.g., see https://seslibrary.asu.edu/node/569 for the forestry case just described.
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The authors gratefully acknowledge financial support for this work conducted during the MAGIC project (Multi-scale Adaptations to Global changes In Coastlines: ANR-13-JCLI-0005 and U.S. National Science Foundation ICER-1342933) under the Belmont Forum and G8 International Opportunities Fund (IOF).
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Anderies, J.M., Barreteau, O. & Brady, U. Refining the Robustness of Social-Ecological Systems Framework for comparative analysis of coastal system adaptation to global change. Reg Environ Change 19, 1891–1908 (2019). https://doi.org/10.1007/s10113-019-01529-0
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DOI: https://doi.org/10.1007/s10113-019-01529-0