title: Estimating anisotropic pollen dispersal: a case study in Quercus lobata.
abstract: The pollen dispersal distribution is an important element of the neighbourhood size of plant populations. Most methods aimed at estimating the dispersal curve assume that pollen dispersal is isotropic, but evidence indicates that this assumption does not hold for many plant species, particularly wind-pollinated species subject to prevailing winds during the pollination season. We propose here a method of detecting anisotropy of pollen dispersal and of gauging its intensity, based on the estimation of the differentiation of maternal pollen clouds (TWOGENER extraction), assuming that pollen dispersal is bivariate and normally distributed. We applied the new method to a case study in Quercus lobata, detecting only a modest level of anisotropy in pollen dispersal in a direction roughly similar to the prevailing wind direction. Finally, we conducted a simulation to explore the conditions under which anisotropy can be detected with this method, and we show that while anisotropy is detectable, in principle, it requires a large volume of data.
authors.affiliation: Laboratoire Ecologie, Systematique et Evolution, UMR CNRS 8079, Université Paris-Sud, Orsay Cedex, France.
authors.forename: F
authors.initials: F
authors.lastname: Austerlitz
authors.forename: C
authors.initials: C
authors.lastname: Dutech
authors.forename: P E
authors.initials: PE
authors.lastname: Smouse
authors.forename: F
authors.initials: F
authors.lastname: Davis
authors.forename: V L
authors.initials: VL
authors.lastname: Sork
mesh_terms: D016880:Anisotropy; D001483:Base Sequence; D002140:California; D017931:DNA Primers / Q000235:genetics; D018744:DNA, Plant / Q000235:genetics / Q000302:isolation & purification; D051456:Gene Flow; D008433:Mathematics; D008957:Models, Genetic; D011058:Pollen / Q000235:genetics* / Q000502:physiology*; D029963:Quercus / Q000235:genetics* / Q000502:physiology*; D014919:Wind
chemical_list: D017931:DNA Primers; D018744:DNA, Plant