1. Machine learning unveils large-scale impact of Posidonia oceanica on Mediterranean Sea water.
- Author
-
Trois C, Del Fabro LD, and Baulin VA
- Subjects
- Mediterranean Sea, Ecosystem, Seawater chemistry, Biodiversity, Alismatales, Machine Learning, Environmental Monitoring methods
- Abstract
Posidonia oceanica is a protected endemic seagrass of the 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 location of P. oceanica and water biogeochemical properties. The model's feature importance showed that carbon-related variables such as net biomass production and carbon dioxide flux have their values altered in the areas with P. oceanica. The study provides 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., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Vladimir Baulin reports financial support was provided by Ministerio de Ciencia, Innovación y Universidades. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2025 Elsevier B.V. All rights reserved.)
- Published
- 2025
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