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4 results for “Centrocercus urophasianus”
Data from: Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in sage grouse Centrocercus urophasianus
<p><span>Sex ratio, and the extent to which it varies over time, is an important factor in the demography, management, and conservation of wildlife populations. We estimated pre-breeding sex ratio of greater sage-grouse (Centrocercus urophasianus) in a peripheral, geographically isolated population in northwestern Colorado during two consecutive winters using closed-population, robust-design, multi-state, genetic mark-recapture models in program MARK (White and Burnham 1999). This data release includes the data files (.inp format) used in those models, as described in Shyvers et al. 2023. The data include capture histories and auxiliary data for individual greater sage-grouse collected during two study seasons: Season 1 (winter 2012-2013) and Season 2 (winter 2013-2014) and are readable using program MARK or notepad. Each data row includes the unique bird identification number (GMR-ID); the bird's encounter history for n= sampling occasions coded as a static state (M = male, F = female); the group ID; and a region covariate (0 = North, 1 = South). The data were adapted from those originally developed for Shyvers et al. 2020 and applied using Closed Robust Design Multi-state (CRDMS) Huggins' p and c w/state probabilities in program MARK to obtain estimates of Omega, enabling estimation of sex ratio with associated confidence intervals (see Shyvers et al. 2023).</span></p> <p>References:</p> <p>Shyvers, J.E., Walker, B.L., Oyler-McCance, S.J., Fike, J.A. and Noon, B.R. 2023. Genetic mark-recapture analysis reveals large annual variation in pre-breeding sex ratio of greater sage-grouse. Wildlife Biology (https://doi.org/10.1002/wlb3.01085)</p> <p>Shyvers, J.E., Walker, B.L., Oyler‐McCance, S.J., Fike, J.A. and Noon, B.R., 2020. Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse Centrocercus urophasianus. Ibis, 162(3), pp.749-765.</p> <p>White, G. C., and K. P. Burnham. 1999. Program Mark: survival estimation from populations of marked animals. – Bird Study 46:120–139.</p>
Data from: Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in sage grouse Centrocercus urophasianus
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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.
Data from: Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)
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