Salberg Vilde Margrete, Booth Andy M, Jahren Susie, Novo Paula
University of Edinburgh, School of GeoSciences, Edinburgh, UK; Sustainability Research Institute, University of Leeds, Leeds, UK.
SINTEF Ocean, Trondheim, Norway.
Mar Pollut Bull. 2022 Jun;179:113713. doi: 10.1016/j.marpolbul.2022.113713. Epub 2022 May 5.
Fuzzy Cognitive Mapping (FCM) is a participatory modelling tool used to explore complex systems by facilitating interdisciplinary cooperation and integrating a variety of knowledge systems. Here FCM was used to explore marine microfiber pollution. Through individual interviews with representatives from the research, industry, water and environmental sectors, five stakeholder FCMs were developed and used to produce an aggregated community FCM in a stakeholder workshop. Stakeholder FCMs and the revised community FCM were used to compute how the modelled system reacted to changes under two scenarios developed during the stakeholder workshop; (i) Green Shift and (ii) increased textile consumption and production. Significant differences were observed in scenario results from the stakeholder-based models and the community-based model. For societal challenges characterized by unknowns around the problem and potential solutions, inclusion of a variety of knowledge systems through FCM and deliberation processes contribute to a more holistic picture of the system and its uncertainties.
模糊认知映射(FCM)是一种参与式建模工具,通过促进跨学科合作和整合各种知识系统来探索复杂系统。本文利用FCM来研究海洋微纤维污染问题。通过与来自研究、工业、水和环境部门的代表进行个人访谈,开发了五个利益相关者FCM,并在利益相关者研讨会上用于生成一个综合的社区FCM。利益相关者FCM和修订后的社区FCM被用来计算在利益相关者研讨会期间制定的两种情景下,建模系统如何对变化做出反应;(i)绿色转变和(ii)纺织品消费和生产增加。基于利益相关者的模型和基于社区的模型在情景结果中观察到显著差异。对于以问题和潜在解决方案周围的未知因素为特征的社会挑战,通过FCM和审议过程纳入各种知识系统有助于更全面地了解系统及其不确定性。