Chaire Modélisation Mathématique et Biodiversité

École Polytechnique, Muséum national d'Histoire naturelle
Fondation de l'École Polytechnique
VEOLIA Environnement

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Rencontre de la chaire

19 novembre 2026 matin

MAP5 (plan d'accès)

(Université Paris Cité, Paris).

Programme:


9h45 - 10h00
: Accueil café

10h00 - 10h40 : Patrick Hoscheit (INRAE) - Phylodynamique de virus dans des paysages agricoles dynamiques

Les méthodes phylodynamiques permettent de reconstruire la dynamique spatiale et temporelle de virus à partir d’échantillons de séquences datées et géolocalisées. Dans le cas particulier de pathogènes de plantes, les paysages agricoles dans lesquels ils se propagent sont à la fois inhomogènes et variables dans le temps. Je m’appuierai sur l’exemple de la jaunisse nanisante de l’orge (BYDV), un virus transmis par pucerons aux céréales et aux graminées, pour présenter les différentes approches possibles pour ce problème, notamment la phylogéographie continue reposant sur des marches aléatoires, les processus de Λ-Fleming-Viot spatial et les coalescents structurés. Je parlerai des choix de modélisation inhérents à chaque cadre, et leurs limites actuelles.

10h45 - 11h25 : Pierre Véron (ENS-PSL) - Modelling speciation to identify microevolutionary processes that explain differences in diversification between lineages

Speciation is the process by which one species gives birth to two distinct species. Phylogenetic estimates of speciation rates have revealed a high heterogeneity across lineages. In this talk, I show how the use of two mathematical models and empirical data helps understanding the link between between microevolutionary processes and macroevolutionary speciation rate. First, I use a speciation model based on the prediction of genetic divergence and polymorphism between populations under different scenarios. This model predicts the duration of speciation and and the shape of the grey zone, i.e., when at which speed between-populations compatibility drops. By varying parameters that describe species traits, evolutionary processes, and speciation scenarios, I assess how these factors shape speciation dynamics. I show that the link between population size and speciation duration depends on the speciation scenario, in particular that faster speciation between smaller populations is typical of non-ecological speciation. Comparing this expectation with empirical data on several plants, I show that speciation occurs primarily through a non-ecological scenario. Second I focus on the influence of the different steps of speciation on the macroevolutionary process. I calculate “equivalent” speciation and extinction rates arising from the protracted birth-death model. I show that the speed at which two distinct lineages become new species has in general relatively little influence on the equivalent speciation rate. For parameters estimated on a family of Australian lizards, my analyses suggest that the most limiting steps in speciation are the formation of populations and their survival, rather than the speed of speciation completion.

11h25 - 11h55 : pause

11h55 - 12h35 : Josquin Guerber (MNHN) - Conjointly studying long-term trends and temporal variability for a better understanding of ecological dynamics

Monitoring ecological communities over time reveals long-term directional trends of population abundances as well as variable population and community abundances. However, variability is better understood in stationary regimes, i.e. without trends, while estimating trends from biodiversity monitoring data often overlooks variability around these trends. This presentation deals with two cases where acknowledging both trends and variability builds a better understanding of ecological dynamics. In one part, moment closure approximations to stochastic population dynamics models help quantify how the presence of long-term trends causes variability to deviate from stationary expectations. In a second part, a Poisson-log-Normal model for population abundance is used to estimate population variability in large-scale biodiversity monitoring data, allowing to measure changes in population and community variability of bird species monitored by the French Breeding Bird Survey.