DOI: 10.5061/dryad.6200g
title: Data from: When can refuges mediate the genetic effects of fire regimes? A simulation study of the effects of topography and weather on neutral and adaptive genetic diversity in fire-prone landscapes

description: Understanding how landscape heterogeneity mediates the effects of fire on
 biodiversity is increasingly important under global changes in fire
 regimes. We used a simulation experiment to investigate how fire regimes
 interact with topography and weather to shape neutral and selection-driven
 genetic diversity under alternative dispersal scenarios, and to explore
 the conditions under which microrefuges can maintain genetic diversity of
 populations exposed to recurrent fire. Spatial heterogeneity in simulated
 fire frequency occurred in topographically complex landscapes, with fire
 refuges and fire-prone “hotspots” apparent. Interannual weather
 variability reduced the effect of topography on fire patterns, with
 refuges less apparent under high weather variability. Neutral genetic
 diversity was correlated with long-term fire frequency under spatially
 heterogeneous fire regimes, being higher in fire refuges than fire-prone
 areas, except under high dispersal or low fire severity (low mortality).
 This generated different spatial genetic structures in fire-prone and
 fire-refuge components of the landscape, despite similar dispersal. In
 contrast, genetic diversity was only associated with time since the most
 recent fire in flat landscapes without predictable refuges and hotspots.
 Genetic effects of selection driven by fire-related conditions depended on
 selection pressure, migration distance and spatial heterogeneity in fire
 regimes. Allele frequencies at a locus conferring higher fitness under
 successional environmental conditions followed a pattern of “temporal
 adaptation” to contemporary conditions under strong selection pressure and
 high migration. However, selected allele frequencies were correlated with
 spatial variation in long-term mean fire frequency (relating to
 environmental predictability) under weak dispersal, low selection pressure
 and strong spatial heterogeneity in fire regimes.
description: Figure 3 R
 scriptR script to recreate
 Figure 3 summarising simulated fire patternsFireStats.RSummary data on simulated firesTwo files that provide information on the timing and location of simulated fires, and on the landscape patterns of fire history resulting from the fire simulations.GDDM2_overall_fire_stats.zipSimulation outputs for T1W1 scenariosIndividual genotypes, locations and environmental info for T1W1 scenariosGDDM2_paper_database_genout_T1W1.zipSimulation outputs for T1W2 scenarioIndividual genotype, location and environment outputs fro T1W2 simulation scenariosGDDM2_paper_database_genout_T1W2.zipSulation outputs for T2W1 scenariosIndividual genotype, location and environment outputs fro T1W2 simulation scenariosGDDM2_paper_database_genout_T2W1.zipSimulation outputs for T2W2 scenariosIndividual genotype, location and environment outputs fro T2W2 simulation scenariosGDDM2_paper_database_genout_T2W2.zipR script for basic genetic diversity summary statisticsThe file contains an R script to calculate the basic genetic diversity summary statistics across the landscape for each replicate simulation. This doesn't recreate all the analyses in the paper, but has been included to provide a script to extract the same genetic information that we used for further analysis in the paper.Genetic summary stats for simulation outputs.txt