DOI: 10.5061/dryad.8pf83
title: Data from: The genetic underpinnings of population cyclicity: establishing expectations for the genetic anatomy of cycling populations

description: Despite extensive research into the mechanisms underlying population
 cyclicity, we have little understanding of the impacts of numerical
 fluctuations on the genetic variation of cycling populations. Thus, the
 potential implications of natural and anthropogenically-driven variation
 in population cycle dynamics on the diversity and evolutionary potential
 of cyclic populations is unclear. Here, we use Canada lynx Lynx canadensis
 matrix population models, set up in a linear stepping-stone, to generate
 demographic replicates of biologically realistic cycling populations.
 Overall, increasing cycle amplitude predictably reduced genetic diversity
 and increased genetic differentiation, with cyclic effects increased by
 population synchrony. Modest dispersal rates (1–3% of the population)
 between high and low amplitude cyclic populations did not diminish these
 effects suggesting that spatial variation in cyclic amplitude should be
 reflected in patterns of genetic diversity and differentiation at these
 rates. At high dispersal rates (6%) groups containing only high amplitude
 cyclic populations had higher diversity and lower differentiation than
 those mixed with low amplitude cyclic populations. Negative
 density-dependent dispersal did not impact genetic diversity, but did
 homogenize populations by reducing differentiation and patterns of
 isolation by distance. Surprisingly, temporal changes in diversity and
 differentiation throughout a cycle were not always consistent with
 population size. In particular, negative density-dependent dispersal
 simultaneously decreased differences in genetic diversity while increasing
 differences in genetic differentiation between numerical peaks and nadirs.
 Combined, our findings suggest demographic changes at fine temporal scales
 can impact genetic variation of interacting populations and provide
 testable predictions relating population cyclicty to genetic variation.
 Further, our results suggest that including realistic demographic and
 dispersal parameters in population genetic models and using information
 from temporal changes in genetic variation could help to discern complex
 demographic scenarios and illuminate population dynamics at fine temporal
 scales.
description: Cycle amplitude genetic
 differencesThis is genetic summary
 statistics from demographic simulations with different cycle amplitudes
 (High, Medium, Low). All summary statistic are averaged across the 10
 simulated populations. In total there are 25 replicates for each cycle
 amplitude across 500 years.cycle_amp_sims.csvDispersal difference simulations.Genetic summary statistics for demographic simulations with different dispersal scenarios (constant synchronous, constant non-synchronous, phase dependent dispersal). Summary statistics are averaged across 10 populations for all 500 generations.dispersal_sims.csvMixed population genetic simulationsGenetic summary statistics for demographic simulations with high and low amplitude cyclic populations exchanging migrants in a linear stepping stone model. Low (1% dispersal), Medium (3% dispersal) and high (6 % dispersal) dispersal scenarios were simulated and genetic summary statistics are averaged across amplitude treatments in each year.mixed_pop_sims.csv