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TEAM 3: "MODELING, STATISTICS AND BIOLOGICAL SYSTEMS DATA ANALYSIS"

Jean-Christophe Poggiale (Prof.; team 3 cooordinator)
David Nérini (Assistant Prof.)
Anne-Françoise Yao (Assistant Prof.)
Claude Manté (IR CNRS)
Caroline Tolla (PhD student)
Jean-Pierre Durbec (Prof.)
Jean-Claude Gaertner (Assistant Prof.)
         
Marie Eichinger (PhD student)
Bastien Mérigot (PhD student)
         
 
1- Scientific Objectives/

Ecology is a quantitative science which needs the development of quantitative methods to extract the information contained in the fields and experimental data. Moreover, according to the complexity of the marine ecosystems, which involve many interacting processes, the mathematical modelling provides a complementary approach. It permits to integrate the knowledge obtained from field and experimental data.
Two main objectives are aimed in our group. The first one consists in the development of methods which permit to simplify and clarify the information collected in the fields experiments. This approach deals with functional data analysis methods.
The second aim concerns the development of ecological models. Since this models generally involve a large number of variables in a set of interacting differential equations, we research methods allowing a simplification of the models in a such way that the simplified models contain the essential dynamics of the complete initial models. We also try to analyse these models in order to get their complete dynamics.

2- Specific Objectives/

Bioturbation and its ecological consequences: Different functional groups of macrobenthic organisms have been highlighted according to their reworking activities. This has an impact on the distribution of microbial communities and chemical compounds in the sediments. We thus develop models which permit to describe the reworking behaviour of a macrobenthic community. We aim to couple this kind of models with microbial ones in order to be able to quantify the interactions between living organisms and chemical compounds (oxygen, nitrogen, carbon, …) in the marine sediments.


Bacterial growth in the marine sediments: In parallel, we develop mathematical models which describe the coupling between bacterial communities and the nitrogen cycle in the sediments. These models will be forced by the bioturbation model in order to quantify the effects of RedOx oscillations on the nitrogen cycle in the marine sediments.


Bacterial growth in the column water: Models coupling the microbial metabolisms with the organic matter in the column water are developed. They allow a best quantification of the organic matter degradation speed for instance.

Phytoplankton growth: We study models describing the effects of environment fluctuations, like impact of turbulence on phytoplankton growth. This study aims to provide some hypothesis to explain the paradox of plankton.


Trophic webs and microbial loop: We develop mathematical methods which permit to simplify complex food webs models. We aim to quantify the matter fluxes in these systems and to analyse the complex dynamics exhibited by this kind of models.

3- Tools/
Dynamical Systems Theory: bifurcation theory, chaotic dynamics.
Functional Data Analysis
Stochastic Differential Equations and Random Dynamical Systems
   
 
Click to reach the Team 3 Selected Papers section
 
Click to reach the Team 3 Collaboration section
   4- Useful links/

http://www.bio.vu.nl/thb/
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