Articles producció científicaEnginyeria Química

Machine learning unveils large-scale impact of Posidonia oceanica on Mediterranean Sea water

  • Dades identificatives

    Identificador:  imarina:9446685
    Autors:  Trois; C; del Fabro; LD; Baulin; VA
    Resum:
    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.
  • Altres:

    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0048969725004371?via%3Dihub
    Referència de l'ítem segons les normes APA: Trois; C; del Fabro; LD; Baulin; VA (2025). Machine learning unveils large-scale impact of Posidonia oceanica on Mediterranean Sea water. SCIENCE OF THE TOTAL ENVIRONMENT, 968(), 178802-. DOI: 10.1016/j.scitotenv.2025.178802
    Referència a l'article segons font original: SCIENCE OF THE TOTAL ENVIRONMENT. 968 178802-
    DOI de l'article: 10.1016/j.scitotenv.2025.178802
    Any de publicació de la revista: 2025-03-10
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-05-09
    Autor/s de la URV: Baulin, Vladimir
    Departament: Enginyeria Química
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Trois; C; del Fabro; LD; Baulin; VA
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: Waste management and disposal, Pollution, Environmental sciences, Environmental engineering, Environmental chemistry, Biotecnología, Biodiversidade, Administração pública e de empresas, ciências contábeis e turismo
    Adreça de correu electrònic de l'autor: vladimir.baulin@urv.cat
  • Paraules clau:

    Posidonia oceanica
    Marine ecosystem
    Machine learning
    Biogeochemical variables
    Environmental Chemistry
    Environmental Engineering
    Environmental Sciences
    Pollution
    Waste Management and Disposal
    Biotecnología
    Biodiversidade
    Administração pública e de empresas
    ciências contábeis e turismo
  • Documents:

  • Cerca a google

    Search to google scholar