Through observations, modeling and machine learning, we aim at a better understanding of the processes controlling the marine biogeochemical cycles, their variability, their impacts on marine ecosystems and on the ocean carbon pumps...
Coastal ecosystem functioning
Through observational and modeling efforts focused on the Senegalese upwelling region (ANR SOLAB), key processes of the ecosystem functioning, such as severe episodic anoxy, are under scrutiny.
Decadal chlorophyll variability
Satellite Chlorophyll data are yet too short to allow meaningful characterization of its decadal variability. New reconstruction method based on machine learning technics are under-investigation to expand the surface chlorophyll time series.
Iron is known to be a key limiting nutrient of ocean phytoplankton biomass. Yet, some aspects of its cycle remain unknown as the role played by the sediment particulate iron source (ANR BIIM).
Ocean / Seabed exchanges
The role of exchanges between ocean sediments and the water column remain crudely quantified on continental margins due to the lack of a clear understanding of the processes at play. We are developing approaches to study those processes and their integrated impacts on nutrients, dissolved oxygen and the carbon cycle.
Who We Are
Long term Chlorophyll variability - Marquesas islands ecosystem functioning // satellite radiometric observations / Machine Learning
Ocean-seabed interaction -North-West African and Peru-Chile Upwelling systems //Biogeochemical modeling / In-Situ Observations // Postdoc (IRD)
Chlorophyll long time series reconstruction // Machine Learning // Supervisors: E. Martinez, T. Gorgues
Senegalese ecosystem functioning // In Situ Observations / satellite radiometric observations / Biogeochemical modeling
Iron Cycle - Particles dynamic //Biogeochemical Modeling //Postdoc (ANR-BIIM with LEMAR)
Senegalese Ecosystem structure from Chlorophyll data // Supervisor: E. Machu
Iron Cycle - Carbon export - Diversity - Chlorophyll variability // Biogeochemical modeling / Machine Learning
Microplastic drift - Physical-biology interaction - lagrangian transport // Biogeochemical Modeling //Postdoc (CNRS)