A Modified PESTEL- and FCM-Driven Decision Support System to Mitigate the Extinction of Marine Species in the Mediterranean Sea
The Mediterranean Sea, a biodiversity hotspot with over 8500 marine species, faces escalating threats from climate change, pollution, overfishing, and habitat degradation. This study introduces a novel Decision Support System (DSS) integrating a modified PESTEL framework (BESTEL: Biological, Economic, Social, Technological, Environmental, Legal) with Fuzzy Cognitive Mapping (FCM) to assess and mitigate risks to marine species. Leveraging expert knowledge from 34 specialists, we identified 30 key factors influencing extinction risk, analyzed through Principal Component Analysis (PCA) to reduce dimensionality. The resulting FCM model simulated four policy scenarios, evaluating the impacts of climate change and dam proliferation on biodiversity. Findings reveal that mitigating both drivers significantly reduces extinction risk (−0.14), while unchecked climate change offsets gain from dam removal. The DSS highlights the dominance of climate stressors, with pollution and temperature shifts (−0.45, −0.42) as critical variables. Biological traits like reproductive frequency and longevity respond strongly to environmental improvements. This integrative approach bridges qualitative expertise and quantitative modeling, offering actionable insights for conservation planning. The study underscores the need for holistic strategies combining climate mitigation and habitat restoration to safeguard Mediterranean marine ecosystems. The FCM-based DSS provides a scalable tool for policymakers to prioritize interventions and assess trade-offs in complex socio-ecological systems.
Authors
- Ia Mosashvili
- Konstantinos Kokkinos (ORCID: https://orcid.org/0000-0002-3873-0493)
- Dimitris Klaoudatos (ORCID: https://orcid.org/0000-0003-0818-0600)
- Teodora Karagyaurova
- Theodoros G. I. Pitropakis (ORCID: https://orcid.org/0009-0005-9336-8449)
Institutions
- University of Thessaly (GR)
- Kutaisi International University (GE)
- Technological Educational Institute of Thessaly (GR)
Publication Details
- Journal
- Information
- Published
- 2025-09-18
- DOI
- https://doi.org/10.3390/info16090813
- Primary Topic
- Marine and fisheries research
- Type
- article
- Field-Weighted Citation Impact
- 0.00