Caught by the fuzz: Using FCM to prevent coastal adaptation stakeholders from fleeing the scene

Abstract Adaptation to climate change is an increasingly urgent priority for coastal managers. At the highest levels of governance, European Union and Member State adaptation policies and strategies are now well established, but meaningful adaptation interventions illustrating tangible gains in resilience remain scarce. A clear framework for generic adaptation processes, along with barriers to their smooth progress, have now been identified in the literature, and equally generic scenario analysis tools have been put forward to strengthen adaptation delivery by assisting coastal managers to overcome them. Fuzzy Cognitive Mapping (FCM) is a relatively novel option in this respect, having yet to achieve the kind of widespread uptake and trial that more orthodox futures approaches such as intuitive logic scenarios have. FCM is however growing rapidly in its range of uses and breadth of uptake, and its utility in overcoming the barriers to adaptation among coastal managers is therefore worthy of analysis. This case study, in which FCM was employed in place of intuitive logic scenario analysis within an adaptation strategy development process, found FCM to carry a number of key strengths that intuitive logic scenario analysis has been found to lack. Through enabling a more detailed and granular level of participatory development of the ‘engine’ of the futures process than possible under an intuitive logic approach, the level of buy-in and commitment to the adaptation strategy development process achieved among coastal managers and stakeholders was significantly greater.

[1]  R. Axelrod Structure of decision : the cognitive maps of political elites , 2015 .

[2]  Marta Olazabal,et al.  Use of fuzzy cognitive maps to study urban resilience and transformation , 2016 .

[3]  Jose L. Salmeron,et al.  Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes , 2017, Neurocomputing.

[4]  Kasper Kok,et al.  Fuzzy Cognitive Maps for futures studies—A methodological assessment of concepts and methods , 2014 .

[5]  Timothy F. Smith,et al.  Participatory futures methods: towards adaptability and resilience in climate-vulnerable communities , 2009 .

[6]  Susanne C Moser,et al.  A framework to diagnose barriers to climate change adaptation , 2010, Proceedings of the National Academy of Sciences.

[7]  Bart Kosko,et al.  Hidden patterns in combined and adaptive knowledge networks , 1988, Int. J. Approx. Reason..

[8]  John McKenna,et al.  Managing by principle: A critical analysis of the European principles of Integrated Coastal Zone Management (ICZM) , 2008 .

[9]  F. Skov,et al.  Linking thoughts to flows - Fuzzy cognitive mapping as tool for integrated landscape modeling , 2010 .

[10]  C. S. Holling,et al.  Insight, part of a Special Feature on Exploring Resilience in Social-Ecological Systems Shooting the Rapids: Navigating Transitions to Adaptive Governance of Social-Ecological Systems , 2006 .

[11]  Kasper Kok,et al.  Linking stakeholders and modellers in scenario studies: The use of Fuzzy Cognitive Maps as a communication and learning tool , 2010 .

[12]  Kasper Kok,et al.  The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil , 2009 .

[13]  D. Damigos,et al.  Exploring the perceived intrusion of mining into the landscape using the fuzzy cognitive mapping approach , 2017 .

[14]  Marc B. Neumann,et al.  Emergence of new knowledge for climate change adaptation , 2018 .

[15]  J. Wolf,et al.  UK Climate Projections science report: Marine and coastal projections , 2009 .

[16]  Olaf P Jensen,et al.  Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders. , 2016, Journal of environmental management.

[17]  Carlos Alonso,et al.  Using fuzzy cognitive maps for predicting river management responses: A case study of the Esla River basin, Spain , 2017 .

[18]  J. Hills,et al.  Comparative analysis of adaptation strategies for coastal climate change in North West Europe , 2016 .

[19]  Areti Kontogianni,et al.  Risks for the Black Sea marine environment as perceived by Ukrainian stakeholders: A fuzzy cognitive mapping application , 2012 .

[20]  Michael Paolisso,et al.  Cognitive, Material and Technological Considerations in Participatory Environmental Modeling , 2017 .

[21]  Lukas H. Meyer,et al.  Summary for Policymakers , 2022, The Ocean and Cryosphere in a Changing Climate.

[22]  R. Devoy,et al.  Coastal Vulnerability and the Implications of Sea-Level Rise for Ireland , 2008 .

[23]  Uygar Özesmi,et al.  Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .

[24]  Steven A. Gray,et al.  Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs , 2014, Fuzzy Cognitive Maps for Applied Sciences and Engineering.

[25]  Steven Gray,et al.  Are coastal managers detecting the problem? Assessing stakeholder perception of climate vulnerability using Fuzzy Cognitive Mapping , 2014 .

[26]  Ziga Malek,et al.  Fuzzy-Logic Cognitive Mapping: Introduction and Overview of the Method , 2017 .

[27]  S. McNeil,et al.  State-of-the-practice assessment of climate change adaptation practices across metropolitan planning organizations pre- and post-Hurricane Sandy , 2016 .

[28]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[29]  R. Ison,et al.  Opening and Closing the Future: Climate Change, Adaptation, and Scenario Planning , 2014 .

[30]  K. Glenk,et al.  How do individuals and groups perceive wetland functioning? Fuzzy cognitive mapping of wetland perceptions in Uganda , 2017 .

[31]  Roger Few,et al.  Scenario-based stakeholder engagement: incorporating stakeholders preferences into coastal planning for climate change. , 2008, Journal of environmental management.

[32]  Zhang Jian-hua,et al.  Research on Matching Method for Case Retrieval Process in CBR Based on FCM , 2017 .

[33]  Tommy Dalgaard,et al.  Can fuzzy cognitive mapping help in agricultural policy design and communication , 2015 .

[34]  J. Hay,et al.  Coastal systems and low-lying areas , 2007 .

[35]  Rebecca Jordan,et al.  Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems , 2015 .

[36]  Stefan Gray,et al.  Strengthening coastal adaptation planning through scenario analysis: A beneficial but incomplete solution , 2016 .

[37]  Zhang Wei,et al.  Using fuzzy cognitive time maps for modeling and evaluating trust dynamics in the virtual enterprises , 2008 .