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Book Chapter

Citizen science and machine learning forecasting Ostreopsis cf ovata blooms

  • Maddalena de Virgilio
  • Patrizia Borrello
  • Emanuela Spada
  • Pasquale Cataldo
  • Salvatore Cifarelli
  • Giuseppe Garofoli
  • Grazia Lamberti
  • Bernard Degryse
  • Ennio Ottaviani

The toxic benthic dinoflagellate Ostreopsis cf. ovata causes harmful algal blooms in Apulia region of Southern Italy. In this study the volunteers of a citizens’ observatory engaged with public research centres to apply a machine learning approach and develop a predictive modelling tool able to forecast O. ovata blooms. We applied the Quantile Regression Forest to draw up two models named Model4Cities and Citizens’Model. Model4Cities was trained with data of cell abundance detected by the Regional Agency of Environmental Protection of Apulia from 2010 to 2022 in the cities of Bisceglie, Molfetta, Giovinazzo and Bari where the microalgae proliferate at high rates. Citizen’sModel was trained with data of cell abundance detected by citizens in two sites within the coastline of Molfetta from 2016 to 2022. Both models show a good capacity to forecast O. ovata concentrations as function of meteorological open data with 81% and 89% of prediction accuracy.

  • Keywords:
  • Ostreopsis ovata,
  • Forecast,
  • Citizen science,
  • Machine learning,
  • Apulia Region,
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Maddalena de Virgilio

CNR-IBBR, Institute of Bioscience and Bioresources, Italy - ORCID: 0000-0001-5777-3651

Patrizia Borrello

ISPRA - Italian Institute for Environmental Protection and Research, Italy - ORCID: 0009-0004-6217-5786

Emanuela Spada

ISPRA - Italian Institute for Environmental Protection and Research, Italy - ORCID: 0009-0002-1494-5171

Pasquale Cataldo

CNR-IBBR, Institute of Bioscience and Bioresources, Italy

Salvatore Cifarelli

Osservatorio del Mare a Molfetta, Italy

Giuseppe Garofoli

Osservatorio del Mare a Molfetta, Italy

Grazia Lamberti

Osservatorio del Mare a Molfetta, Italy

Bernard Degryse

Osservatorio del Mare a Molfetta, Italy

Ennio Ottaviani

University of Genoa, Italy - ORCID: 0000-0002-2538-5985

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  • Publication Year: 2024
  • Pages: 881-891

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  • Publication Year: 2024

Chapter Information

Chapter Title

Citizen science and machine learning forecasting Ostreopsis cf ovata blooms

Authors

Maddalena de Virgilio, Patrizia Borrello, Emanuela Spada, Pasquale Cataldo, Salvatore Cifarelli, Giuseppe Garofoli, Grazia Lamberti, Bernard Degryse, Ennio Ottaviani

Language

Italian

DOI

10.36253/979-12-215-0556-6.76

Peer Reviewed

Publication Year

2024

Copyright Information

© 2024 Author(s)

Content License

CC BY-NC-SA 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

Tenth International Symposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques

Book Subtitle

Livorno (Italy) 11th-13th June 2024

Editors

Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci

Peer Reviewed

Publication Year

2024

Copyright Information

© 2024 Author(s)

Content License

CC BY-NC-SA 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0556-6

eISBN (pdf)

979-12-215-0556-6

eISBN (xml)

979-12-215-0557-3

Series Title

Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques

Series E-ISSN

2975-0288

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