Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1937675#aggregation> ?p ?o. }
Showing items 1 to 37 of
37
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B572291.
- aggregation creator B572292.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1937675.bibtex.
- aggregation hasFormat 1937675.csv.
- aggregation hasFormat 1937675.dc.
- aggregation hasFormat 1937675.didl.
- aggregation hasFormat 1937675.doc.
- aggregation hasFormat 1937675.json.
- aggregation hasFormat 1937675.mets.
- aggregation hasFormat 1937675.mods.
- aggregation hasFormat 1937675.rdf.
- aggregation hasFormat 1937675.ris.
- aggregation hasFormat 1937675.txt.
- aggregation hasFormat 1937675.xls.
- aggregation hasFormat 1937675.yaml.
- aggregation isPartOf urn:issn:0962-1083.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Spatial heterogeneity in genetic relatedness among house sparrows along an urban-rural gradient as revealed by individual-based analysis".
- aggregation abstract "Understanding factors that shape patterns of kinship in sedentary species is important for evolutionary ecologists as well as conservation biologists. Yet, how patterns of relatedness are hierarchically structured in space remains poorly known, even in common species. Here, we use information from 16 polymorphic microsatellite DNA markers to study how small-scale kinship structure varies among house sparrows (Passer domesticus) along an urban-rural gradient. Average levels of relatedness were higher among urban individuals than among individuals from rural areas, suggesting lower rates of dispersal in more built-up habitats. Comparison of observed levels of relatedness with simulated distributions of known kinship values showed that central urban individuals had the highest proportion of closely related conspecifics in their immediate neighbourhood. Spatial auto-correlograms supported this small-scale genetic structure and further indicated stronger effects of genetic drift and/or limited dispersal in urban populations. Results of this study underscore the importance of individual-level analyses as a complementary approach to traditional population-level analyses when studying genetic population structure over small spatial scales.".
- aggregation authorList BK923442.
- aggregation endPage "4653".
- aggregation issue "22".
- aggregation startPage "4643".
- aggregation volume "20".
- aggregation aggregates 1937676.
- aggregation aggregates 1938759.
- aggregation isDescribedBy 1937675.
- aggregation similarTo j.1365-294X.2011.05316.x.
- aggregation similarTo LU-1937675.