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TEAM 3: "MODELING, STATISTICS AND BIOLOGICAL SYSTEMS DATA ANALYSIS" |
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Anne-Françoise
Yao (Assistant Prof.) |
Claude
Manté (IR CNRS) |
Caroline
Tolla (PhD student) |
Jean-Pierre
Durbec (Prof.) |
Jean-Claude
Gaertner (Assistant Prof.) |
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Marie
Eichinger (PhD student) |
Bastien
Mérigot (PhD student) |
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| 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. |
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| 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.
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.
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| 3-
Tools/ |
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| Dynamical
Systems Theory: bifurcation theory, chaotic dynamics. Functional Data Analysis Stochastic Differential Equations and Random Dynamical Systems |
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| 4-
Useful links/ http://www.bio.vu.nl/thb/ |
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