A structured participatory method to support policy option analysis in a social-ecological system

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:197

Article

Mehryar, Sara¹  Sliuzas, Richard¹  Sharifi, Ali¹  Reckien, Diana¹  van Maarseveen, Martin¹ 

[1] Univ Twente, ITC Fac Geoinformat Sci & Earth Observat, POB 217, NL-7500 AE Enschede, Netherlands

关键词: Fuzzy cognitive mapping;    Driver-Pressure-State-Impact-Response;    Social-ecological system;    Rafsanjan;    Water scarcity;   

DOI  :  10.1016/j.jenvman.2017.04.017

来源: Elsevier

【 摘 要 】

In this study we demonstrate how to support policy option analysis for a problematic Social-Ecological System (SES) with the help of stakeholder participation. SES sustainability problems 1) are highly complex, 2) may lack reliable data, 3) encompass conflicting interests and 4) may require contradictory management interventions. Our approach uses a structured participatory method combining the Driver-Pressure-State-Impact-Response (DPSIR) model together with Fuzzy Cognitive Mapping (FCM) to capture the complexity of the system and simplify its representation for simulation and policy option analysis. Using this novel mixed-method was useful in dealing with above-mentioned characteristics of the complex SES problems. The method was applied in a case study of water scarcity in Rafsanjan, Iran. FCMs were produced for 60 individual farmers and 40 individual researchers and policy makers. Our mixed-method analysis reveals similarities and differences of stakeholder knowledge and problem perception, and simulates the impacts of alternative policy options according to each group's perception. The final result of our case study indicates that farmers in Rafsanjan strongly believe in the impact of economic diversification on reducing water shortage, but they have a low level of trust in the ability of the government to regulate and control water usage, whereas the policy makers and researchers still believe in the role of government control and monitoring policies to deal with water scarcity in Rafsanjan. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free