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Modelling stakeholder perceptions to assess Green Infrastructures potential in agriculture through fuzzy logic: A tool for participatory governance
Environmental Development ( IF 4.7 ) Pub Date : 2021-09-08 , DOI: 10.1016/j.envdev.2021.100671
Emma Schiavon 1 , Andrea Taramelli 1, 2 , Antonella Tornato 2
Affiliation  

Solutions like Green Infrastructures can restore and maintain key regulative ecosystem services capable of mitigating disaster risk and contributing to climate change adaptation. Given the vulnerabilities that affect agriculture and its role in national economies, GI can play an important role in managing trade-offs between conflicting ecosystem services. However, their use is still lagging behind, and socio-economic dynamics in their uptake in the agricultural sector are partially disregarded. The uncertainty involved in the modelling of ecological processes can be reduced through the use of participatory processes and the involvement of relevant stakeholders to sustain decision-making processes. This article intends to assess stakeholders' perceptions on the implementation of Green Infrastructures in agriculture by capturing critical barriers and facilitators. The implementation of such Green Infrastructures policies is associated to different climate change trends in order to understand the effect of different scenarios on rural development. The study uses fuzzy logic to elicit the stakeholders’ needs. The key results show that when there is uncertainty in the state of climate change trends, it is always more efficient to adopt progressive policies investing in the development and diffusion of Green Infrastructures.



中文翻译:

通过模糊逻辑对利益相关者的看法进行建模以评估农业绿色基础设施的潜力:参与式治理的工具

绿色基础设施等解决方案可以恢复和维护能够减轻灾害风险和促进气候变化适应的关键监管生态系统服务。鉴于影响农业的脆弱性及其在国民经济中的作用,地理标志可以在管理相互冲突的生态系统服务之间的权衡方面发挥重要作用。然而,它们的使用仍然滞后,农业部门吸收它们的社会经济动态部分被忽视。通过使用参与性过程和相关利益相关者的参与来维持决策过程,可以减少生态过程建模中涉及的不确定性。本文旨在评估利益相关者的 通过捕捉关键障碍和促进因素,了解对农业绿色基础设施实施的看法。此类绿色基础设施政策的实施与不同的气候变化趋势相关联,以了解不同情景对农村发展的影响。该研究使用模糊逻辑来引出利益相关者的需求。主要结果表明,当气候变化趋势状态存在不确定性时,采用渐进式政策投资于绿色基础设施的开发和扩散总是更有效。

更新日期:2021-09-08
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