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Fig. S1 SDM for current climatic conditions using the subsampled dataset (N=23).

Fig. S2 Logistic values averaged across 100 bootstrap replicates indicating high spatial concordance across replicates.

Fig. S3 Median logistic values across 100 bootstrapped runs indicating high spatial concordance across replicates.

Fig. S4 Standard deviation in logistic values across 100 bootstrapped runs indicating high spatial concordance across replicates.

Fig. S5 The values shown here give the absolute difference in predictions when using clamping vs. not using clamping.

Fig. S6 Each response curve indicates how the logistic prediction changes as each bioclim variable is varied, while holding all other variables at their average sample value.

mec12196-sup-0002-FigS7.pngPNG image141KFig. S7 Additional clustering results.
mec12196-sup-0003-FigS8.pngPNG image56KFig. S8 Regressions using Rousset's original FST/(1 − FST) estimator.
mec12196-sup-0004-TableS1.csvCSV document8KTable S1 Genetic sampling localities.
mec12196-sup-0005-TableS2.csvCSV document1KTable S2 Maxent thresholds.
mec12196-sup-0006-TableS3.csvCSV document8KTable S3 Microsatellite summary statistics.

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