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Predictive mapping identifies new benthic habitats in the Baltic Sea, highlighting the need for ecosystem-based management.
Marine benthic habitats are essential for biodiversity and ecosystem functioning, yet their complexity and inaccessibility challenge effective mapping and management. This study presents the first high-resolution predictive benthic habitat maps at the EUNIS Level 5 for the Polish Exclusive Economic Zone (EEZ) in the southern Baltic Sea, covering over 7000 km² of direct high-resolution measurements. Using advanced hydroacoustic technologies-multibeam echosounders and side-scan sonars-combined with 1425 sediment grab samples and underwater video ground-truthing, we applied a Random Forest classifier trained on bathymetric derivatives via Object-Based Image Analysis (OBIA). The model achieved high accuracy: 96.94 % overall and a kappa coefficient of 0.94 for substrate classification, and 97.88 % overall with a kappa of 0.97 for dominant species. We identified 47 distinct benthic habitats, including 24 novel EUNIS Level 5 unique to the southern Baltic, requiring the proposal of three new EUNIS Level 4 categories to maintain taxonomic hierarchy. These findings enhance understanding of Baltic Sea biodiversity and provide a scalable framework for benthic habitat mapping, supporting ecosystem-based management under increasing anthropogenic pressures.
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Szefler et al. (2025) studied this question.
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