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 LOV, UMR 7093, Station Zoologique |
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CNRS Research Associate at the ocean observatory in Villefranche sur Mer (LOV), in the Plankton group.
2005-2007 Post doctoral fellow at the University of California at Santa Cruz (Ocean Sciences, UCSC). Supervision: C. Edwards, J.P. Zehr
Modelling, aquatic ecology, phytoplankton metabolism, stoichiometry Complexity is one of the most intriguing and fascinating aspects of Nature. However, in order to understand many natural phenomena, we need to reduce this complexity by finding realistic, but simpler ways of studying the main processes. From my first experiences with modeling natural phenomena, I learned that complex behavior can emerge from the superposition of very simple independent processes. Since then, my research has focused on mathematical modeling of complex systems. This helps in conceptualizing ideas and hypotheses about processes that are difficult to observe directly in Nature. Such models are, for me, a second laboratory that complements experimental or field work. The exchange between theory and experience is also an exciting way to test and validate hypotheses.
Simulation of the successive use of different nitrogen sources in a continuous culture of Trichodesmium sp. IMS101 grown under a 12/12 light/dark regime. Concentration of combined nitrogen (DIN) in the medium, DIN uptake rate and N2 fixation rate. Horizontal black bars on the x axis show the dark period. | ||
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Dron, A., Rabouille, S., Claquin, P., Le Roy, B., Talec, A., and Sciandra, A. (2011) Light-Dark (12:12) cycle of carbon and nitrogen metabolism in Crocosphaera watsonii WH8501: relation to the cell cycle. Environ Microbiol: doi:10.1111/j.1462-2920.2011.02675.x. Talec A., Rabouille S., Nival P. & Sciandra A., 2010. SEMPO: a computer driven device for phytoplankton cultivation. JORD 3(4): 76. Shi T., Ilikchyan I., Rabouille S. & Zehr J.P. 2010. Genome-wide analysis of diel gene expression in the unicellular N2-fixing cyanobacterium Crocosphaera watsonii WH 8501. Isme J 4: 621-632. Bernard O., Sciandra A., and Rabouille S. 2009. Sensitivity of carbon fixation predictions during a bloom of Emiliania huxleyi. Biogeosciences Discuss., 6, 5339-5372. Bernard O., Sciandra A., and Rabouille S. 2009. Predictions of carbon fixation during a bloom of Emiliania huxleyi as a function of the regulating inorganic carbon species. in Proceedings of the MATHMOD 09 conference - Full Papers CD Volume ( Vienna , Austria ), p1799-1807. Agawin N.S.R., Rabouille S., Veldhuis M.J.W., Servatius L., Hol S., van Overzee H.M.J. and Huisman J. 2007. Competition and facilitation between unicellular nitrogen-fixing cyanobacteria and non-nitrogen-fixing phytoplankton species. Limnol. Oceanogr. 52: 2233-2248. Rabouille S., Edwards C.A. and Zehr J.P. 2007. Modeling the vertical distribution of Prochlorococcus and Synechococcus in the North Pacific Subtropical Ocean. Environ. Microbiol. 9(10): 2588-2602. Staal M., Rabouille S. and Stal L. 2007. On the role of oxygen for nitrogen fixation in the marine cyanobacterium Trichodesmium sp. Environ. Microbiol. 9(3): 727-736. Rabouille S., Staal M., Stal L. and Soetaert K. 2006. Modeling the dynamic regulation of nitrogen fixation in the cyanobacterium Trichodesmium sp. Appl. Environ. Microbiol., 72(5): 3217-3227. Rabouille S. and Salencon M.-J. 2005. Functional analysis of Microcystis vertical migration: A dynamic model as a prospecting tool -II- Influence of mixing, thermal stratification and colony diameter on the biomass production. Aquat. Microb. Ecol. 39: 281-292. Rabouille S., Salencon M.-J. and Thebault J.-M. 2005. Functional analysis of Microcystis vertical migration: A dynamic model as a prospecting tool - I- Processes analysis. Ecol. Model. 188 (2-4): 386-403. Rabouille, S., Thebault, J.-M., Salencon, M.-J. 2003. Simulation of carbon reserve dynamics in Microcystis and its influence on vertical migration with Yoyo model. C. R. Acad. Sci. Biologies 326(4): 349-361. Full article Thebault, J.M., Rabouille, S. 2003. Comparison between two mathematical formulations of the phytoplankton specific growth rate as a function of light and temperature, in two simulation models (Aster and Yoyo). Ecol. Model. 163 (1-2): 145-151. Full article
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