Mehryar Sara, Sliuzas Richard, Sharifi Ali, Reckien Diana, van Maarseveen Martin
ITC-Faculty of Geo-Information Science & Earth Observation, University of Twente, P.O. Box 217, 7500AE, Enschede, The Netherlands.
J Environ Manage. 2017 Jul 15;197:360-372. doi: 10.1016/j.jenvman.2017.04.017. Epub 2017 Apr 10.
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.
在本研究中,我们展示了如何借助利益相关者的参与来支持对有问题的社会生态系统(SES)进行政策选项分析。SES的可持续性问题包括:1)高度复杂;2)可能缺乏可靠数据;3)包含相互冲突的利益;4)可能需要相互矛盾的管理干预措施。我们的方法采用了一种结构化参与式方法,将驱动-压力-状态-影响-响应(DPSIR)模型与模糊认知图(FCM)相结合,以捕捉系统的复杂性,并简化其表示形式用于模拟和政策选项分析。使用这种新颖的混合方法有助于应对复杂SES问题的上述特征。该方法应用于伊朗拉夫桑詹水资源短缺的案例研究。为60位个体农民以及40位个体研究人员和政策制定者制作了模糊认知图。我们的混合方法分析揭示了利益相关者知识和问题认知的异同,并根据每个群体的认知模拟了替代政策选项的影响。我们案例研究的最终结果表明,拉夫桑詹的农民坚信经济多元化对减少水资源短缺的影响,但他们对政府监管和控制用水能力的信任度较低,而政策制定者和研究人员仍然相信政府控制和监测政策在应对拉夫桑詹水资源短缺方面的作用。