Data from: Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)

The distribution of spatial genetic variation across a region can shape
evolutionary dynamics and impact population persistence. Local population
dynamics and among-population dispersal rates are strong drivers of this
spatial genetic variation, yet for many species we lack a clear
understanding of how these population processes interact in space to shape
within-species genetic variation. Here, we used extensive genetic and
demographic data from 10 subpopulations of greater sage-grouse to
parameterize a simulated approximate Bayesian computation (ABC) model and
(i) test for regional differences in population density and dispersal
rates for greater sage-grouse subpopulations in Wyoming, and (ii) quantify
how these differences impact subpopulation regional influence on genetic
variation. We found a close match between observed and simulated data
under our parameterized model and strong variation in density and
dispersal rates across Wyoming. Sensitivity analyses suggested that
changes in dispersal (via landscape resistance) had a greater influence on
regional differentiation, whereas changes in density had a greater
influence on mean diversity across all subpopulations. Local
subpopulations, however, varied in their regional influence on genetic
variation. Decreases in the size and dispersal rates of central
populations with low overall and net immigration (i.e. population sources)
had the greatest negative impact on genetic variation. Overall, our
results provide insight into the interactions among demography, dispersal
and genetic variation and highlight the potential of ABC to disentangle
the complexity of regional population dynamics and project the genetic
impact of changing conditions.