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Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water

2024/02/22 by Célio Trois, Trois, Celio, Luciana Didonet Del Fabro +3
Agricultural and Biological Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Cephalopods and Marine Biology #Coral and Marine Ecosystems Studies #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Marine and fisheries research

paper · pdf · doi:10.48550/arxiv.2402.14459

openalex publication_date 2024/02/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Posidonia oceanica is a protected endemic seagrass of Mediterranean sea that fosters biodiversity, stores carbon, releases oxygen, and provides habitat to numerous sea organisms. Leveraging augmented research, we collected a comprehensive dataset of 174 features compiled from diverse data sources. Through machine learning analysis, we discovered the existence of a robust correlation between the exact location of P. oceanica and water biogeochemical properties. The model's feature importance, showed that carbon-related variables as net biomass production and downward surface mass flux of carbon dioxide have their values altered in the areas with P. oceanica, which in turn can be used for indirect location of P. oceanica meadows. The study provides the evidence of the plant's ability to exert a global impact on the environment and underscores the crucial role of this plant in sea ecosystems, emphasizing the need for its conservation and management.

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