A GIS-MCDA approach to map environmental suitability of Posidonia oceanica meadows as blue nature-based solutions in the Mediterranean eco-region

• Published in: The Science of the total environment 2024-12, Vol.955, p.176803, Article 176803
• Main Authors: Ozkiper, Ozan, Allegri, Elena, Bianconi, Angelica, Pham, Hung Vuong, Furlan, Elisa, Simide, Rémy, van der Geest, Matthijs, Critto, Andrea
• Format: Article
• Language: English
• Subjects: Alismatales - physiology; Analytic hierarchy process; Biodiversity; Climate Change; Conservation of Natural Resources - methods; Decision Support Techniques; Ecosystem; Environmental Monitoring - methods; Geographic Information Systems; Marine coastal ecosystem; Mediterranean Sea; Nature-based solution; Posidonia oceanica; Seagrass; Suitability mapping
• ISSN: 0048-9697; 1879-1026; 1879-1026
• DOI: 10.1016/j.scitotenv.2024.176803

The growing environmental risks induced by interacting climate and human-induced pressures threaten the survival and growth of marine coastal ecosystems (MCEs) and the ecosystem services they provide. Nature-based solutions (NBS), consisting of ecosystem-based approaches, have emerged as vital tools for climate adaptation and mitigation facing biodiversity loss and societal challenges. Identifying suitable environmental conditions for implementing Blue-NBS in marine coastal areas is a key priority to drive robust and cost-effective nature-based adaptation pathways. This study developed a suitability model for Blue-NBS, with a specific focus on Posidonia oceanica meadows in the Mediterranean Sea under a baseline scenario. GIS-based Multiple Criteria Decision Analysis (MCDA) was applied for data integration and prioritization of different environmental variables in geomorphological (e.g., depth), water quality (WQ) (e.g., salinity), and climatic (e.g., thermal stress) sub-groups. Suitability classes and scores for each variable were determined using statistical distributions, ensuring a data-driven approach to defining environmental suitability. Variables' weights were derived from the Analytic Hierarchy Process (AHP) based on expert judgment and then combined with scores to generate suitability maps for managing Blue-NBS on seagrasses. Depth was found to be the most dominant environmental variable, with shallow areas (e.g., Northern Adriatic, Gulf of Gabés) showing higher suitability. The southern part of the Mediterranean (e.g., Egypt) reported relatively low scores for both climate and WQ, while the Northern Adriatic had the lowest WQ scores. This study represents the first attempt to evaluate Blue-NBS suitability for seagrass meadows at the eco-regional scale with geomorphologic, WQ, and climatic variables, providing decision support for the selection and allocation of Blue-NBS in different environmental settings. The resulting environmental suitability maps represent a basis for the integration of socio-economic and governance-related indicators into a more complex, multi-tier approach to support NBS mainstreaming. [Display omitted] •Environmental Blue-NBS suitability modeling developed for seagrasses in the Mediterranean ecoregion using AHP and GIS methods.•Multidimensional approach integrates geomorphological, water quality and climatic indicators considering expert opinions.•Using GIS tools and MCDA to map marine coastal areas for prioritizing suitab