Non-linear genetic isolation by distance: implications for dispersal estimation in anadromous and marine fish populations

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Endemism and dispersal: comparative phylogeography of three surgeonfishes across the Hawaiian Archipelago (2009, background): “However, IBD based dispersal predictions have been shown to diVer from known values by more than 300% because of the assumption of linearity of the IBD slope ( Bradbury and Bentzen 2007 ).”
Genetic discontinuity among regional populations of Lophelia pertusa in the North Atlantic Ocean (2011, unknown): “…genetic pattern is expected if realized dispersal is much less than the scale of the study, assuming spatially homogeneous gene flow and a balance between loss of alleles due to genetic drift (mutation) and replacement of alleles by dispersal (gene flow) (Slatkin 1993; Bradbury and Bentzen 2007).”
Population genetics, larval dispersal, and connectivity in marine systems (2009, unknown): “A comparison of dispersal estimates generated by the Palumbi model, with direct measures of dispersal, revealed that IBD-slopetuning model estimates of dispersal varied by as much as from 38 to 380% (Bradbury & Bentzen 2007).”