Building genetic networks using relatedness information: a novel approach for the estimation of dispersal and characterization of group structure in social animals.

摘要: Natal dispersal is an important life history trait driving variation in individual fitness, and therefore, a proper understanding of the factors underlying behaviour critical to many fields including population dynamics, behavioural ecology conservation biology. However, patterns remain difficult quantify despite years research using direct indirect methods. Here, we single intensively studied cooperatively breeding chestnut-crowned babbler (Pomatostomus ruficeps) genetic networks created from combination pairwise relatedness data social networking methods compare this estimates re-sighting data. This novel approach not only identifies movements between groups within our study sites but also provides estimation immigration rates individuals originating outside site. Both indicated that was strongly female biased, magnitude much greater suggests previous studies relying on mark-recapture may have significantly underestimated dispersal. An analysis spatial structure sampled supports idea females are more dispersive, with having no beyond bounds their own group, while male expands for 750 m group. Although network used excellent tool visualizing microstructure animals identifying dispersers, results indicate importance applying them parallel