2018
DOI: 10.1016/j.mambio.2017.11.009
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Rare migrants suffice to maintain high genetic diversity in an introduced island population of roe deer (Capreolus capreolus): Evidence from molecular data and simulations

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Cited by 6 publications
(6 citation statements)
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“…It is possible that this pattern reflects a combination of both natural (historical) and anthropogenic processes with differentiation according to distance. Taken together, the data suggest that central populations have been expanding south, north, and north-east, forming founder populations and thereafter meeting and reproducing with previously existing small residual groups (colonies) of roe deer there, which maintains relatively high genetic diversity in these areas despite obvious population differentiation (see also [86]). It is also possible that habitat fragmentation in more urbanized and for roe deer less suitable coastal habitats contributed to the higher F ST values found within this area.…”
Section: Genetic Differentiation Among Slovene Roe Deer Populationsmentioning
confidence: 64%
See 1 more Smart Citation
“…It is possible that this pattern reflects a combination of both natural (historical) and anthropogenic processes with differentiation according to distance. Taken together, the data suggest that central populations have been expanding south, north, and north-east, forming founder populations and thereafter meeting and reproducing with previously existing small residual groups (colonies) of roe deer there, which maintains relatively high genetic diversity in these areas despite obvious population differentiation (see also [86]). It is also possible that habitat fragmentation in more urbanized and for roe deer less suitable coastal habitats contributed to the higher F ST values found within this area.…”
Section: Genetic Differentiation Among Slovene Roe Deer Populationsmentioning
confidence: 64%
“…As far as historical data are concerned, roe deer populations which experienced genetic bottlenecks in the southern and northern (north-eastern) regions nevertheless retained a considerable amount of nuclear genetic diversity. This can be attributed to the ability of roe deer to expand very rapidly, thereby minimizing loss through genetic drift [85], but it is also due to the fact that in this species even a small number of founders and limited natural immigration would maintain high genetic diversity despite population differentiation [86]. Additionally, roe deer can recover rapidly in demographic terms, as the species is known to be ecologically adaptable and able to use a newly available habitat quickly [87].…”
Section: Genetic Diversity Of Roe Deer In Sloveniamentioning
confidence: 99%
“…Various natural and anthropogenic factors may contribute to the lack of a clear population structure. The natural dispersal of individuals would be sufficient for sustaining the gene flow between populations, thus blurring the genetic substructure (Kuehn et al 2004;Haanes et al 2010;Fickel et al 2012;Carranza et al 2016;Steinbach et al 2018). A notable part of the individuals analysed, 11.6% (35/303), were assigned to populations adjacent to their geographical origin.…”
Section: Discussionmentioning
confidence: 99%
“…The blurred structuring could also be explained by humaninduced translocations, as such activities are thought to have concerned important game species for centuries or even millennia (Scandura et al 2011;Zachos and Hartl 2011;Steinbach et al 2018;Queirós et al 2020). It is believed that the present gene pool of many European red deer populations is affected by human-induced translocations (Frantz et al 2006;Carden et al 2012;Krojerová-Prokešová et al 2015;Stanton et al 2016;Galarza et al 2017;Iacolina et al 2019;Queirós et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The use of simulation modelling in landscape genetics is growing, as individual‐based, spatially‐explicit genetic modelling tools have proliferated (e.g., Nemo: Guillaume & Rougemont, ; quantiNemo: Neuenschwander, Michaud, & Goudet, ; SimAdapt: Rebaudo et al, ; MetaPopGen: Andrello & Manel, ; HexSim: Schumaker & Brookes, ). Landscape genetics studies are also increasingly coupling empirical data with simulation designs (e.g., Steinbach et al, ). Because essential model features and simplifying assumptions vary from study to study, the variety of available simulation models is a strength, since these programs focus on different processes and represent environmental heterogeneity in different ways.…”
Section: Discussionmentioning
confidence: 99%