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Inference of hazel grouse population structure using multilocus data: a landscape genetic approach
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Evolution, Population and conservation biology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Evolution, Animal Ecology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Evolution, Population and conservation biology.
2008 (English)In: Heredity, ISSN 0018-067X, E-ISSN 1365-2540, Vol. 101, no 6, 475-482 p.Article in journal (Other (popular science, discussion, etc.)) Published
Abstract [en]

In conservation and management of species it is important to make inferences about gene flow, dispersal and population structure. In this study, we used 613 georeferenced tissue samples from hazel grouse (Bonasa bonasia) where each individual was genotyped at 12 microsatellite loci to make inference on population genetic structure, gene flow and dispersal in northern Sweden. Observed levels of genetic diversity suggest that Swedish hazel grouse do not suffer loss of genetic diversity compared with other grouse species. We found significant F-IS (deviation from Hardy-Weinberg expectations) over the entire sample using jack-knifed estimators over loci, which is most likely explained by a Wahlund effect. With the use of spatial autocorrelation methods, we detected significant isolation by distance among individuals. Neighbourhood size was estimated in the order of 62-158 individuals corresponding to a dispersal distance of 950-1500 m. Using a spatial statistical model for landscape genetics to infer the number of populations and the spatial location of genetic discontinuities between these populations we found indications that Swedish hazel grouse are divided into a northern and a southern population. We could not find a sharp border between these two populations and none of the observed borders appeared to coincide with any potential geographical barriers. These results imply that gene flow appears somewhat unrestricted in the boreal taiga forests of northern Sweden and that the two populations of hazel grouse in Sweden may be explained by the post-glacial reinvasion history of the Scandinavian Peninsula. Heredity (2008) 101, 475-482; doi: 10.1038/hdy.2008.94; published online 1 October 2008

Place, publisher, year, edition, pages
2008. Vol. 101, no 6, 475-482 p.
Keyword [en]
geneland, Monte Carlo Markov chain, Bayesian clustering, isolation by distance, genetic discontinuities
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:uu:diva-95958DOI: 10.1038/hdy.2008.94ISI: 000260993500003OAI: oai:DiVA.org:uu-95958DiVA: diva2:170350
Available from: 2007-05-16 Created: 2007-05-16 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Impact of Geographical and Environmental Structures on Habitat Choice, Metapopulation Dynamics and Genetic Structure for Hazel Grouse (Bonasa bonasia)
Open this publication in new window or tab >>Impact of Geographical and Environmental Structures on Habitat Choice, Metapopulation Dynamics and Genetic Structure for Hazel Grouse (Bonasa bonasia)
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this work suitable habitats for hazel grouse (Bonasa bonasia) were identified using ecological niche factor analysis (ENFA). The results from ENFA reveal that hazel grouse utilize a different and more restricted niche than what is generally available in the study area. When a landscape is fragmented the amount of edge increases, which is negative for many species and thus will affect the amount of available area. The perimeter-area ratio was used to analyze the relative importance of geometric shape. In order to estimate a correlation between incidence of hazel grouse and landscape features census data and land cover maps were analyzed with logistic regression models. It is concluded that hazel grouse is tied to coniferous forest and avoid open areas. However, the result indicates that there is a scale effect that should be considered. The amount of edge in a landscape seems to be important and shape of patches could be a better measure in metapopulation dynamics. In this study the Incidence function model was used to estimate occupancy levels and capacity of a landscape to sustain a metapopulation according to four different area measurement scenarios. Results from the simulations indicate that perimeter-area related measures of patch size combined with capacity could be a more important measure for estimation of population dynamics compared to a basic area measurement. Using a landscape genetic approach, hazel grouse genetic structure, neighbourhood size and dispersal distance were estimated. Genetic estimates of dispersal were in concordance with previous ecological estimates. The results indicate evidence of a population structure reminiscent of what has been found in many other Scandinavian animals with a basic north-south divide. No evidence was found that geographic and environmental structures affected gene flow and dispersal patterns for the hazel grouse.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2007. 38 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 314
Keyword
Ecology, Landscape, Patch occupancy model, Perimeter-area ratio, Geneland, Dispersal, Neighbourhood size, Ekologi
Identifiers
urn:nbn:se:uu:diva-7911 (URN)978-91-554-6910-8 (ISBN)
Public defence
2007-06-07, Zootissalen, EBC, Villa vägen 9, Uppsala, 13:00
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Supervisors
Available from: 2007-05-16 Created: 2007-05-16Bibliographically approved

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