title: Self-consistent approach for neutral community models with speciation.
abstract: Hubbell's neutral model provides a rich theoretical framework to study ecological communities. By incorporating both ecological and evolutionary time scales, it allows us to investigate how communities are shaped by speciation processes. The speciation model in the basic neutral model is particularly simple, describing speciation as a point-mutation event in a birth of a single individual. The stationary species abundance distribution of the basic model, which can be solved exactly, fits empirical data of distributions of species' abundances surprisingly well. More realistic speciation models have been proposed such as the random-fission model in which new species appear by splitting up existing species. However, no analytical solution is available for these models, impeding quantitative comparison with data. Here, we present a self-consistent approximation method for neutral community models with various speciation modes, including random fission. We derive explicit formulas for the stationary species abundance distribution, which agree very well with simulations. We expect that our approximation method will be useful to study other speciation processes in neutral community models as well.
authors.affiliation: INRIA Research Team MERE, UMR Systems Analysis and Biometrics, 2 Place Pierre Viala, F-34060 Montpellier, France. bart.haegeman@inria.fr
authors.forename: Bart
authors.initials: B
authors.lastname: Haegeman
authors.forename: Rampal S
authors.initials: RS
authors.lastname: Etienne
mesh_terms: D003198:Computer Simulation; D017753:Ecosystem; D053476:Extinction, Biological; D008954:Models, Biological; D011157:Population Dynamics; D013045:Species Specificity