0000000000471216

AUTHOR

Jean-christophe Poggiale

0000-0002-3888-0096

showing 4 related works from this author

Modeling in Microbial Ecology

2014

SPE IPM; International audience; The bases and the principles of modeling in microbial community ecology and biogeochemistry are presented and discussed. Several examples are given. Among them, the fermentation process is largely developed, thus demonstrating how the model allows determining the microbial population growth rate, the death rate, and the maintenance rate. More generally, these models have been used to increase the development of bioenergetic formulations which are presently used in biogeochemical models (Monod, Droop, DEB models). Different types of interactions (competition, predation, and virus–bacteria) are also developed. For each topic, a complete view of the models used…

Population dynamicsComputer science[SDV]Life Sciences [q-bio][SDE.MCG]Environmental Sciences/Global ChangesEcology (disciplines)media_common.quotation_subjectBiotic interactionsFermenter modelsChemostatCompetition (biology)Microbial Ecology03 medical and health sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMicrobial ecology[SDV.BV]Life Sciences [q-bio]/Vegetal Biology030304 developmental biologymedia_common0303 health sciences030306 microbiologyBiogeochemistryBiofilm modelsChemostatMicrobial population biologyMetabolic models[SDE]Environmental SciencesBiochemical engineering[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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FAST OSCILLATING MIGRATIONS IN A PREDATOR-PREY MODEL

1996

The aim of this paper is to give a method which permits us to describe how individual properties can emerge at the population level, in population dynamics. We consider interacting populations. In order to take into account the spatial or behavioral heterogeneity, we subdivide each population into subpopulations. A given subpopulation corresponds to those individuals having the same behavior and who are in a homogeneous environment. Furthermore, we assume that the migration process is faster than the growth and interaction processes. Therefore, we must study models with many variables coupled together into large scaled differential systems. Firstly, our method permits us to reduce these co…

education.field_of_studyPopulation levelProcess (engineering)Computer scienceApplied MathematicsPopulationComplex systemPredationSocial dynamicsOrder (biology)Modeling and SimulationBehavioral heterogeneityStatistical physicseducationMathematical Models and Methods in Applied Sciences
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Perturbations of the classical Lotka-Volterra system by behavioral sequences

1995

The complexity and the variability of parameters occurring in ecological dynamical systems imply a large number of equations.

PhysicsPhilosophyPhilosophy of biologyDynamical systems theoryApplied MathematicsQuantitative Biology::Populations and EvolutionGeneral MedicineStatistical physicsPerturbation theoryGeneral Agricultural and Biological SciencesDynamical systemGeneral Biochemistry Genetics and Molecular BiologyGeneral Environmental ScienceActa Biotheoretica
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EMERGING PROPERTIES IN POPULATION DYNAMICS WITH DIFFERENT TIME SCALES

1995

The aim of this work is to show that at the population level, emerging properties may occur as a result of the coupling between the fast micro-dynamics and the slow macrodynamics. We studied a prey-predator system with different time scales in a heterogeneous environment. A fast time scale is associated to the migration process on spatial patches and a slow time scale is associated to the growth and the interactions between the species. Preys go on the spatial patches on which some resources are located and can be caught by the predators on them. The efficiency of the predators to catch preys is patch-dependent. Preys can be more easily caught on some spatial patches than others. Perturbat…

education.field_of_studyEcologyEcologyDifferential equationApplied MathematicsAggregate (data warehouse)PopulationScale (descriptive set theory)General MedicineBiologyAgricultural and Biological Sciences (miscellaneous)Nonlinear systemCoupling (computer programming)Ordinary differential equationPerturbation theoryeducationBiological systemJournal of Biological Systems
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