Performance of individual vs. group sampling for inferring dispersal under isolation-by-distance - Université Pierre et Marie Curie Accéder directement au contenu
Article Dans Une Revue Molecular Ecology Resources Année : 2014

Performance of individual vs. group sampling for inferring dispersal under isolation-by-distance

Résumé

Models of isolation-by-distance formalize the effects of genetic drift and gene flow in a spatial context where gene dispersal is spatially limited. These models have been used to show that, at an appropriate spatial scale, dispersal parameters can be inferred from the regression of genetic differentiation against geographic distance between sampling locations. This approach is compelling because it is relatively simple and robust and has rather low sampling requirements. In continuous populations, dispersal can be inferred from isolation-by-distance patterns using either individuals or groups as sampling units. Intrigued by empirical findings where individual samples seemed to provide more power, we used simulations to compare the performances of the two methods in a range of situations with different dispersal distributions. We found that sampling individuals provide more power in a range of dispersal conditions that is narrow but fits many realistic situations. These situations were characterized not only by the general steepness of isolation-by-distance but also by the intrinsic shape of the dispersal kernel. The performances of the two approaches are otherwise similar, suggesting that the choice of a sampling unit is globally less important than other settings such as a study's spatial scale.
Fichier principal
Vignette du fichier
Luximon_2014_Performance_of (1).pdf (1.06 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01062314 , version 1 (07-01-2015)

Identifiants

Citer

Natacha Luximon, Eric Petit, Thomas Broquet. Performance of individual vs. group sampling for inferring dispersal under isolation-by-distance. Molecular Ecology Resources, 2014, 14 (4), pp.745-752. ⟨10.1111/1755-0998.12224⟩. ⟨hal-01062314⟩
153 Consultations
673 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More