Max Planck Gesellschaft

Fabrice Lacroix


Post-Doc
Research Group 'Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring (IPAS)'


email: flacro(at)bgc-jena.mpg.de

Research Focus:

Modeling of the Earth System:

  • Carbon fluxes in high latitude terrestrial ecosystems
  • Riverine nutrient and carbon transfer from land-to-ocean
  • Multi-stressor anthropogenic perturbation of the coastal ocean across temporal and spatial scales

Research Interests:

My research interests focus on improving the modeling and understanding of the impacts of human-induced perturbations of the climate and ecosystems at the global and regional scale. Currently, I am working towards improving the understanding of nutrient availability on carbon fluxes in high latitude by improving the global model JSBACH and the process-focussed site-scale model QUINCY, to better represent nutrient fluxes associated with permafrost thawing. Previously, I have extended global models to better represent the riverine transfer of freshwater and biogeochemical compounds from land to the ocean, the perturbation of these fluxes due to human activities and their impacts on the coastal and open ocean.

Professional background

since 04/2020 Research Associate at the Max-Planck-Institute for Biogeochemistry in Jena, Germany
07/2019-03/2020 Post-Doc at the Max-Planck-Institute for Meteorology in Hamburg, Germany
09/2015-07/2019 PhD candidate at Max-Planck-Institute for Meteorology in Hamburg, Germany and Universite Libre de Bruxelles, Belgium

Publications

2021

Lacroix, F., Ilyina, T., Laruelle, G. G., & Regnier, P. Reconstructing the preindustrial coastal carbon cycle through a global ocean circulation model: was the global continental shelf already both autotrophic and a CO2 sink?. Global Biogeochemical Cycles, 35, e2020GB006603. https://doi.org/10.1029/2020GB006603, 2021

2021

Lacroix, F., Ilyina, T., and Hartmann, J.: Oceanic CO2 outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach, Biogeosciences, 17, 55–88, https://doi.org/10.5194/bg-17-55-2020, 2020.

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