Data from: Estimating demographic contributions to effective population size in an age-structured wild population experiencing environmental and demographic stochasticity

  • Amanda Elizabeth Trask (Creator)
  • Eric M. Bignal (Creator)
  • David I. McCracken (Creator)
  • Stuart Piertney (Creator)
  • Jane Reid (Creator)



1. A population's effective size (Ne) is a key parameter that shapes rates of inbreeding and loss of genetic diversity, thereby influencing evolutionary processes and population viability. However estimating Ne, and identifying key demographic mechanisms that underlie the Ne to census population size (N) ratio, remains challenging, especially for small populations with overlapping generations and substantial environmental and demographic stochasticity and hence dynamic age-structure.

2. A sophisticated demographic method of estimating Ne/N, which uses Fisher's reproductive value to account for dynamic age-structure, has been formulated. However this method requires detailed individual- and population-level data on sex- and age-specific reproduction and survival, and has rarely been implemented.

3. Here we use the reproductive value method and detailed demographic data to estimate Ne/N for a small and apparently isolated red-billed chough (Pyrrhocorax pyrrhocorax) population of high conservation concern. We additionally calculated two single-sample molecular genetic estimates of Ne to corroborate the demographic estimate and examine evidence for unobserved immigration and gene flow.

4. The demographic estimate of Ne/N was 0.21, reflecting a high total demographic variance (σ2dg) of 0.71. Females and males made similar overall contributions to σ2dg. However, contributions varied among sex-age classes, with greater contributions from 3 year-old females than males, but greater contributions from ≥5 year-old males than females.

5. The demographic estimate of Ne was ~30, suggesting that rates of increase of inbreeding and loss of genetic variation per generation will be relatively high. Molecular genetic estimates of Ne computed from linkage disequilibrium and approximate Bayesian computation were approximately 50 and 30 respectively, providing no evidence of substantial unobserved immigration which could bias demographic estimates of Ne.

6. Our analyses identify key sex-age classes contributing to demographic variance and thus decreasing Ne/N in a small age-structured population inhabiting a variable environment. They thereby demonstrate how assessments of Ne can incorporate stochastic sex- and age-specific demography and elucidate key demographic processes affecting a population's evolutionary trajectory and viability. Furthermore, our analyses show that Ne for the focal chough population is critically small, implying that management to re-establish genetic connectivity may be required to ensure population viability.

Data type

Data for demographic estimation of Ne: This file contains data required for the estimation of effective population size (Ne) from population- and individual-level demographic data from a population of red-billed chough on Islay, Scotland, UK. Each row provides data on sex-age-year specific breeding success and survival to the following year.
data for demographic estimation of Ne.txt

Data for LD genetic estimation of Ne: This file contains the raw microsatellite genotype data required for the estimation of effective population (Ne) of the Islay red-billed chough population, using linkage disequilibrium (LD) in the program NeEstimator v2.01 (Waples & Do 2008).
data for LD genetic estimation of Ne.txt

Data for ONeSAMP genetic estimation of Ne: This file contains the raw microsatellite genotype data required for the estimation of effective population (Ne) of the Islay red-billed chough population, using approximate Bayesian computation (ABC) in the program ONeSAMP (Tallmon et al. 2008).
data for ONeSAMP genetic estimation of Ne.txt

Data for survival analysis: This file contains the encounter histories required for estimation of mean age-specific survival probabilities using capture-mark-recapture models in program MARK (White & Burnhman 1999).
data for survival analysis.txt

Copyright and Open Data Licencing

This work is licensed under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license.
Date made available16 May 2018
PublisherDryad Digital Repository
Geographical coverageIslay, Scotland


  • evolutionary potential
  • iteroparity
  • life-history variation
  • Population connectivity
  • Population management
  • Pyrrhocorax pyrrhocorax
  • reproductive skew

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