4.7 Article

Using isolation-by-distance-based approaches to assess the barrier effect of linear landscape elements on badger (Meles meles) dispersal

期刊

MOLECULAR ECOLOGY
卷 19, 期 8, 页码 1663-1674

出版社

WILEY-BLACKWELL
DOI: 10.1111/j.1365-294X.2010.04605.x

关键词

bayesian clustering; bovine tuberculosis; dispersal; landscape genetics; wildlife management

资金

  1. Food and Environment Research Agency
  2. NERC [NBAF010001] Funding Source: UKRI
  3. Natural Environment Research Council [NBAF010001] Funding Source: researchfish

向作者/读者索取更多资源

As the European badger (Meles meles) can be of conservation or management concern, it is important to have a good understanding of the species' dispersal ability. In particular, knowledge of landscape elements that affect dispersal can contribute to devising effective management strategies. However, the standard approach of using Bayesian clustering methods to correlate genetic discontinuities with landscape elements cannot easily be applied to this problem, as badger populations are often characterized by a strong confounding isolation-by-distance (IBD) pattern. We therefore developed a two-step method that compares the location of pairs of related badgers relative to a putative barrier and utilizes the expected spatial genetic structure characterized by IBD as a null model to test for the presence of a barrier. If a linear feature disrupts dispersal, the IBD pattern characterising pairs of individuals located on different sides of a putative barrier should differ significantly from the pattern obtained with pairs of individuals located on the same side. We used our new approach to assess the impact of rivers and roads of different sizes on badger dispersal in western England. We show that a large, wide river represented a barrier to badger dispersal and found evidence that a motorway may also restrict badger movement. Conversely, we did not find any evidence for small rivers and roads interfering with badger movement. One of the advantages of our approach is that potentially it can detect features that disrupt gene flow locally, without necessarily creating distinct identifiable genetic units.

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