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
Iron Cycle - Particles dynamic //Biogeochemical Modeling //Postdoc (ANR-BIIM with LEMAR)
Chlorophyll long time series reconstruction // Machine Learning // Supervisors: E. Martinez, T. Gorgues
Senegalese ecosystem functioning // In Situ Observations / satellite radiometric observations / Biogeochemical modeling
Biogeochemical Modeling // Physical-biological interactions // Lagrangian numerical experiments // Collaborator from ACTIMAR
Senegalese Ecosystem structure from Chlorophyll data // Supervisor: E. Machu
Iron Cycle - Carbon export - Diversity - Chlorophyll variability - Diel Vertical Migration // Biogeochemical modeling / Machine Learning
Trace Metal Cycle - Microplastic-biology interaction // Biogeochemical Modeling //Postdoc (ISblue)
Senegalese Ecosystem - phytoplankton diversity - observation // Supervisor: E. Machu
Ocean-seabed interaction -North-West African and Peru-Chile Upwelling systems //Biogeochemical modeling / In-Situ Observations
Trace Metal Cycle - Oxygen // Biogeochemical Modeling //Postdoc (LHYFE)
Carbon cycle in the North Atlantic - Plastic transport at global scale // Supervisor: L. Carracedo
Carbon cycle & pumps - MOC - Nutrients - North Atlantic // In-Situ Observations