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A diagnostic approach for going beyond panaceas.
1Center for the Study of Institutions, Population, and Environmental Change, Indiana University, 408 North Indiana Avenue, Bloomington, IN 47408, USA. ostrom@indiana.edu
Summary
Simple models fail for social-ecological systems (SESs). Developing cumulative diagnostic capacities requires studying complex, multivariable, nonlinear, cross-scale, and changing systems for effective resource governance.
Area of Science:
- Ecological economics
- Environmental social science
- Sustainability science
Background:
- Scholarly efforts to create predictive models for social-ecological systems (SESs) often oversimplify complex realities.
- The pursuit of universal solutions ('panaceas') for resource management issues has proven inadequate.
- Understanding the intricate dynamics of SESs necessitates acknowledging their multivariable, nonlinear, cross-scale, and evolving nature.
Purpose of the Study:
- To challenge the presumption of simple, predictive models for SESs.
- To propose a framework for developing diagnostic capacities beyond universal solutions.
- To advance an interdisciplinary science for analyzing complex, multilevel SESs.
Main Methods:
- Organizing identified variables into a nested, multitier framework.
- Analyzing the interplay between resource systems, resource units, users, and governance systems.
- Incorporating the influence of broader socioeconomic, political, and ecological contexts.
Main Results:
- A framework is presented to organize the analysis of SES attributes and their interactions.
- The framework facilitates understanding how system components jointly affect outcomes.
- It allows for the integration of nested scales, from local to larger settings.
Conclusions:
- Effective resource governance requires moving beyond simplistic models to diagnose complex SES problems.
- A structured, multitier framework aids in analyzing the multifaceted nature of SESs.
- This approach supports matching governance arrangements to specific social-ecological contexts for better problem-solving.
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