title: Two-generation analysis of pollen flow across a landscape. IV. Estimating the dispersal parameter.
abstract: The distance of pollen movement is an important determinant of the neighborhood area of plant populations. In earlier studies, we designed a method for estimating the distance of pollen dispersal, on the basis of the analysis of the differentiation among the pollen clouds of a sample of females, spaced across the landscape. The method was based solely on an estimate of the global level of differentiation among the pollen clouds of the total array of sampled females. Here, we develop novel estimators, on the basis of the divergence of pollen clouds for all pairs of females, assuming that an independent estimate of adult population density is available. A simulation study shows that the estimators are all slightly biased, but that most have enough precision to be useful, at least with adequate sample sizes. We show that one of the novel pairwise methods provides estimates that are slightly better than the best global estimate, especially when the markers used have low exclusion probability. The new method can also be generalized to the case where there is no prior information on the density of reproductive adults. In that case, we can jointly estimate the density itself and the pollen dispersal distance, given sufficient sample sizes. The bias of this last estimator is larger and the precision is lower than for those estimates based on independent estimates of density, but the estimate is of some interest, because a meaningful independent estimate of the density of reproducing individuals is difficult to obtain in most cases.
authors.affiliation: Laboratoire de Génétique et d'Amélioration des Arbres Forestiers, INRA, Pierroton, F-33611 Gazinet Cedex, France. austerli@pierroton.inra.fr
authors.forename: Frédéric
authors.initials: F
authors.lastname: Austerlitz
authors.forename: Peter E
authors.initials: PE
authors.lastname: Smouse
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D011058:Pollen / Q000235:genetics; D011156:Population Density; D013223:Statistics as Topic