Data from: Are genetic variation and demographic performance linked?
Carley, Lauren et al. (2022), Data from: Are genetic variation and demographic performance linked?, Dryad, Dataset, https://doi.org/10.5061/dryad.k98sf7m70
Quantifying the empirical relationships between genetic variation and population viability is important from both basic biological and applied conservation perspectives, yet few populations have been monitored with both long-term demographic and population genetics approaches. Here, we present eight years of historical demographic data from five populations of Boechera fecunda (Brassicaceae), a rare, self-compatible perennial plant endemic to Montana, USA, and use integral projection models to estimate the stochastic population growth rate (λS) and extinction risk of each population. We combine these demographic estimates with previously published metrics of genetic variation in the same populations to test whether genetic diversity within populations is linked to demographic performance. Our results show that in this predominantly inbred species, genetics and demography are not strongly correlated, suggesting that more inbred populations are not necessarily less viable or at higher extinction risk than more genetically diverse populations. Interestingly, however, a contemporary re-census revealed that, among these populations, genetic rather than demographic parameters were better predictors of current population density, with populations harboring greater genetic diversity maintaining denser populations at present. In the absence of evidence for inbreeding depression decreasing population viability in this species, we recommend conservation of distinct, potentially locally adapted populations of B. fecunda rather than alternatives such as translocations or reintroductions.
Raw demographic data were collected by labeling wild Boechera fecunda plants and tracking them from 1990–1997 to monitor survival, growth, reproduction, and recruitment in five natural populations. Derived demographic summary statistics for each population were estimated using integral projection models with parametric bootstrapping. All code to process data and calculate derived variables is included in this archive.
Complementary genetic summary statistics for the five focal populations were extracted from a previous publication (Song & Mitchell-Olds 2007, "High genetic diversity and population differentiation in Boechera fecunda, a rare relative of Arabidopsis", Molecular Ecology).
Usage notes are provided in the enclosed README.txt file.
National Science Foundation, Award: Graduate Research Fellowship
National Science Foundation, Award: 9100397