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Fuzzy Cognitive Mapping of Stakeholder Governance Perceptions: A Causal Architecture for Managing Pinctada radiata in the Eastern Mediterranean

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Fuzzy Cognitive Mapping of Stakeholder Governance Perceptions: A Causal Architecture for Managing Pinctada radiata in the Eastern Mediterranean

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Department of Ichthyology and Aquatic Environment (DIAE), School of Agricultural Sciences, University of Thessaly (UTH), Fytokou Street, 38446 Volos, Greece
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Received: 24 March 2026 Revised: 12 May 2026 Accepted: 26 May 2026 Published: 04 June 2026

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© 2026 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

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Ecol. Divers. 2026, 3(2), 10007; DOI: 10.70322/ecoldivers.2026.10007
ABSTRACT: Understanding how governance systems respond to ecological complexity requires analytical approaches that capture both biophysical interactions and stakeholders’ interpretations of causal relationships within socio-ecological systems. In the Eastern Mediterranean, the Indo-Pacific pearl oyster, Pinctada radiata, poses a governance challenge because it is simultaneously perceived as a non-indigenous species, an ecosystem engineer, and a livelihood resource. This study develops the Causal Cognitive–Institutional Architecture (CICA) for marine governance. Using Fuzzy Cognitive Mapping (FCM), it formalises stakeholder reasoning and socio-economic interactions. Stakeholder-specific causal maps were constructed for fishers, scientists, and government officials. The resulting models reveal distinct but complementary causal logics: fishers emphasise stewardship, collaboration, and livelihood security; scientists prioritise ecological stability, environmental change sensitivity, and habitat impacts; and government officials primarily emphasise regulatory coherence and enforcement. These stakeholder-specific maps were then integrated into a unified governance model using a weighted linear fusion procedure. The unified FCM identifies collaboration, community education, and environmental change sensitivity as highly influential cross-domain concepts, while institutional trust emerges as a fragile but consequential governance variable. Scenario simulations indicate that interventions targeting collaborative and learning-oriented mechanisms generate broader stabilising responses across the system than enforcement-centred interventions alone. The CICA–FCM framework provides a transparent diagnostic approach for identifying governance bottlenecks, integrating heterogeneous stakeholder reasoning, and supporting adaptive management of P. radiata under ecological uncertainty.
Keywords: Adaptive management; Institutional analysis; Marine governance; Socio-ecological systems; Stakeholder cognition
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