POSTER Session 2

PHYTOPLANKTON BLOOM MONITORING IN BRAZILIAN COASTAL REGIONS BY THE RENOMO NETWORK

The National Network for Ocean Observations and Monitoring (ReNOMO) is a new Brazilian program that will provide an online platform to distribute regional oceanographic products, including ocean color remote sensing, which is fundamental for monitoring phytoplankton blooms. To parameterize and improve regional bio-optical models, ReNOMO sponsors observations of optically active ocean components: phytoplankton community composition (microscopy), absorption by phytoplankton, non-algal particles and colored dissolved organic matter (spectrophotometry), concentrations of phytoplankton pigments (HPLC) and total suspended matter (gravimetry), hyperspectral remote-sensing reflectance – Rrs (HyperSAS), dissolved oxygen, pH, turbidity, CTD and PAR. Here we present preliminary results from two heavily-populated Brazilian coastal areas where harmful algal blooms are frequently reported: Santa Catarina-SC (12 stations in October/2023), where waters are optically dominated by suspended sediments, and Rio de Janeiro-RJ (20 stations in May/2024), where CDOM and phytoplankton are optically dominant, both displaying abundant centric diatoms and dinoflagellates associated with upwelled waters and anthropogenic eutrophication. Blooms of Noctiluca scintillans co-occurring with Coscinodiscus weilessi were observed in SC (storm season) while blooms of Tetraselmis sp. and mixed diatoms in RJ were synchronic to marine heat waves. Spectral shapes of Rrs during blooms revealed robust features of fluorescence and accessory pigment absorption. These first optical characterizations allow the development of dedicated algorithms to detect these increasingly frequent blooms in SC and RJ, for current and future sensors. A time series of such blooms will aid our understanding of the effects of extreme weather events and climate variability over the Brazilian marine ecosystems.

Ella Pereira, Federal University of Rio Grande, Brazil

Maria Fernanda Giannini, Federal University of Rio Grande, Brazil

Priscila Lange, Federal University of Rio de Janeiro, Brazil, https://orcid.org/0000-0003-2136-2273

Ana Paula Forgiarini, Federal University of Rio Grande, Brazil

Luciana Souza, Federal University of Rio Grande, Brazil

Lino Sander de Carvalho, Federal University of Rio de Janeiro, Brazil

Luiz Fernando Albuquerque, Federal University of Rio de Janeiro, Brazil

Domenica Lima, Rio de Janeiro State University, Brazil

Fernando Barberine, Federal University of Rio de Janeiro, Brazil

Aurea Ciotti, University of São Paulo, Brazil

Mauro Cirano, Federal University of Rio de Janeiro, Brazil

Carlos Garcia, Federal University of Rio Grande, Brazil

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