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non-parametric Spearman correlation rank test. We also square root transformed the Dst values to improve
normality and divided the bivariate relationship between occupancy and Dst into four quadrants, and consid-
ered the species either as ‘widespread’ or ‘rare’ and the absolute genetic variation as low (< half) or high (> half)
of the maximum square root transformed Dst. The number of species falling into each quadrant was scored.
Subsequently, 999 null matrices were constructed by attributing to each species random values of occupancy
and Dst. For each square, we assessed the frequency for which the observed number of species was lower than in
random configurations. Values < 0.050 were considered as significantly empty quadrants, and values > 0.950 as
significantly full quadrants.
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Scientific RepoRts | 6:28828 | DOI: 10.1038/srep28828 10