0000000000200076

AUTHOR

Samuel Soubeyrand

showing 3 related works from this author

Spatiotemporal Structure of Host‐Pathogen Interactions in a Metapopulation

2009

International audience; The ecological and evolutionary dynamics of species are influenced by spatiotemporal variation in population size. Unfortunately, we are usually limited in our ability to investigate the numerical dynamics of natural populations across large spatial scales and over long periods of time. Here we combine mechanistic and statistical approaches to reconstruct continuous-time infection dynamics of an obligate fungal pathogen on the basis of discrete-time occurrence data. The pathogen, Podosphaera plantaginis, infects its host plant, Plantago lanceolata, in a metapopulation setting where the presence of the pathogen has been recorded annually for 6 years in similar to 4,00…

0106 biological sciencesPODOSPHAERA PLANTAGINISMetapopulationRELATION PLANTE-PATHOGENEBiologyENCOUNTER RATE010603 evolutionary biology01 natural sciences03 medical and health sciencesAscomycotaHOST-PARASITE INTERACTIONAnimals[INFO]Computer Science [cs]MECHANISTIC-STATISTICAL MODEL[MATH]Mathematics [math]Evolutionary dynamicsPlantagoFinlandEcology Evolution Behavior and SystematicsOverwinteringCoevolutionPlant Diseases030304 developmental biologyLocal adaptation0303 health sciencesObligateHost (biology)EcologyCOEVOLUTIONPopulation sizeBiological EvolutionSURVIVAL PROBABILITYTEMPORAL STABILITYPLANTAGO LANCELOLATAHost-Pathogen InteractionsSeasonsAlgorithmsThe American Naturalist
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A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
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Dynamiques de populations en milieu hétérogène : modèles et estimation de paramètres

2017

Prod 2017-344i SPE équipe EA GESTAD INRA; National audience; Cet exposé traite de (i) la modélisation de dynamiques de populations dans des paysages hétérogènes, (ii) la modélisation des paysages eux-mêmes, (iii) l'estimation des paramètres de ces modèles à partir de données d'abondance ou de données génétiques. Nous nous concentrerons sur deux grandes classes de modèles de dynamique des populations : les modèles individu-centrés basés sur des équations différentielles stochastiques, et les modèles de réaction-diffusion. Après une introduction du lien entre ces approches, 5 illustrations issues des projets sont présentées: - modélisation de paysages hétérogènes fragmentés, via l’outil MULTI…

[SDE] Environmental Sciencesmodelisation du paysage[SDV]Life Sciences [q-bio]modeles de reaction-diffusiondonnees genetiquesmodeles discrets/continus;[MATH] Mathematics [math][INFO] Computer Science [cs][SDV] Life Sciences [q-bio]equations aux derivees partiellesmodeles 2d/1d[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyapproches mecanisticostatistiques[INFO]Computer Science [cs]equations differentielles stochastiques[MATH]Mathematics [math]
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