2015
DOI: 10.1111/mec.13105
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Post‐fragmentation population structure in a cooperative breeding Afrotropical cloud forest bird: emergence of a source‐sink population network

Abstract: The impact of demographic parameters on the genetic population structure and viability of organisms is a long-standing issue in the study of fragmented populations. Demographic and genetic tools are now readily available to estimate census and effective population sizes and migration and gene flow rates with increasing precision. Here we analysed the demography and genetic population structure over a recent 15-year time span in five remnant populations of Cabanis's greenbul (Phyllastrephus cabanisi), a coopera… Show more

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Cited by 18 publications
(14 citation statements)
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References 126 publications
(263 reference statements)
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“…; Husemann et al . ). Our results confirm the importance of taking historical factors into account when quantifying genetic connectivity in highly impacted landscapes.…”
Section: Discussionmentioning
confidence: 97%
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“…; Husemann et al . ). Our results confirm the importance of taking historical factors into account when quantifying genetic connectivity in highly impacted landscapes.…”
Section: Discussionmentioning
confidence: 97%
“…; Husemann et al . ). In contrast to habitat fragmentation, the anthropogenic translocation of individuals between populations reduces genetic differentiation, increases diversity within populations and may obscure estimates of genetic connectivity (Templeton et al .…”
Section: Introductionmentioning
confidence: 97%
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“…2008; Husemann et al. 2014a, 2015a). Similarly, on continents geographic isolation and specific environmental conditions within certain habitat types can lead to island‐like conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Similar to IM models, Approximate Bayesian Computation (ABC) modelling (Beaumont, 2010)$/ has been used to estimate past effective population sizes and bottlenecks (Husemann et al, 2015, Spurgin et al, 2014b, Athrey et al, 2012, Allentoft et al, 2014, divergence times Joseph, 2012, Barber andKlicka, 2010) and the amount of gene flow (Illera et al, 2014). In contrast to IM models, however, ABC modelling allows for the comparison of multiple scenarios that differ in the amount and timing of gene flow.…”
Section: Formation and Distribution Of Hybrid Zonesmentioning
confidence: 99%