Journal Article

Evaluating a multispectral miniaturised fluorometer with three excitation channels for predicting phytoplankton community structure indices from BGC-Argo float observations

Garczarek, Laurence, Partensky, Frédéric, Gourvil, Priscillia, Roesler, Collin, Penkerc'h, Christophe, Golbol, Melek, Taillandier, Vincent, Petit, Flavien, Antoine, David, Claustre, Hervé, Dufour, Louison, Uitz, Julia, Dimier, Céline, Vellucci, Vincenzo

2026

Overview

Phytoplankton community composition is a key determinant of ocean biogeochemical cycles, yet its observation from autonomous platforms remains challenging. In this study, we assessed the potential of in situ multispectral excitation fluorescence (MXF) to predict phytoplankton community structure indices in the Northwestern Mediterranean Sea. With a view toward applications on Biogeochemical-Argo (BGC-Argo) profiling floats, we evaluated a miniaturised, three-excitation-channel fluorometer. Laboratory measurements on ten phytoplankton strains confirmed that MXF ratios at 440, 470, and 532 nm provide taxon-specific signatures, especially for picocyanobacteria and green algae. Field observations of phytoplankton pigments were clustered into four ecologically distinct phytoplankton communities across the seasonal cycle, which defined the targeted phytoplankton community structure indices. A machine learning model was then trained to classify these clusters using MXF and additional bio-optical indices. Results show that existing BGC-Argo configurations (single-wavelength fluorescence, particulate backscattering, and beam attenuation coefficients) reliably distinguish broad community structures, such as pico- versus microphytoplankton dominance, but resolving finer pigment-based differences requires the additional spectral information provided by MXF. The different excitation channels contributed unequally: 440 and 470 nm provided robust pigment sensitivity across communities, while 532 nm was particularly informative for detecting phycoerythrin-rich taxa. Overall, combining MXF with bio-optical proxies improved classification performance by integrating pigment-specific and size-structure information, demonstrating the potential of MXF to enhance autonomous monitoring of phytoplankton community dynamics and their role in ocean biogeochemical cycles.

• Publisher: Copernicus GmbH,Copernicus Publications
• Subject: Algae / Aquatic plants / Attenuation coefficients / Biogeochemical cycle / Biogeochemical cycles / Biogeochemistry / Biomass / Carbon / Carbon cycle / Channels / Chlorophyll / Community composition / Community structure / Discrimination / Drifters / Excitation / Field study / Fluorescence / Fluorometers / Machine learning / Oceanographic observations / Phytoplankton / Pigments / Plankton / Seasonal variation / Sensors / Taxa / Taxonomy / Wavelength