Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems

May 28, 2015 - Author: , Stefan Gray, Jean Luc De Kok, Ariella E. R. Helfgott, Barry O'Dwyer, , Angela Nyaki

Abstract

There is a growing interest in the use of fuzzy cognitive mapping (FCM) as a participatory method for understanding social-ecological systems (SESs). In recent years, FCM has been used in a diverse set of contexts ranging from fisheries management to agricultural development, in an effort to generate transparent graphical models of complex systems that are useful for decision making, illuminate the core presumptions of environmental stakeholders, and structure environmental problems for scenario development. This increase in popularity is because of FCM’s bottom-up approach and its ability to incorporate a range of individual, community-level, and expert knowledge into an accessible and standardized format. Although there has been an increase in the use of FCM as an environmental planning and learning tool, limited progress has been made with regard to the method’s relationship to existing resilience frameworks and how the use of FCM compares with other participatory modeling/approaches available. Using case study data developed from community-driven models of the bushmeat trade in Tanzania, we examine the usefulness of FCM for promoting resilience analysis among stakeholders in terms of identifying key state variables that comprise an SES, evaluating alternative SES equilibrium states, and defining desirable or undesirable state outcomes through scenario analysis.

Keywords

bushmeat, fuzzy cognitive mapping, participatory modeling, resilience

Suggested Citation

Gray, S. A., Gray, S., De Kok, J. L., Helfgott, A. E. R., O'Dwyer,B., Jordan, R., and Nyaki,A. 2015. Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems. Ecology and Society 20(2): 11.

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Tags: flint, fuzzy cognitive mapping, research methods, urban food system, urban food systems in flint


Related Topic Areas

Urban Food Systems in Flint, Michigan: Identifying Leverage Points


Authors

Steven Gray

Steven Gray
646-915-2915
grayste1@msu.edu

Rebecca Jordan

Rebecca Jordan
jordanre@msu.edu

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