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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.
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Déposant : Marion Desailly <>
Soumis le : jeudi 10 septembre 2020 - 16:09:38
Dernière modification le : vendredi 11 septembre 2020 - 03:14:25

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F. Austerlitz, Cyril Dutech, Peter Smouse, F. Davies, Victoria L. Sork. Estimating anisotropic pollen dispersal: a case study in Quercus lobata. Heredity, Nature Publishing Group, 2007, 99 (2), pp.193-204. ⟨10.1038/sj.hdy.6800983⟩. ⟨hal-02935747⟩



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