Loci and alleles with the strongest impact on the SpatialPCA eigenvalues 1 and 2.

<p>Loci and alleles with the strongest impact on the SpatialPCA eigenvalues 1 and 2.</p

Maps of: A) scores for the 41 locations in sPC1 obtained on the full dataset with adegenet; B) scores in sPC2 obtained as in A; C) posterior assignment probabilities of the 41 locations to either of two clusters obtained on the reduced dataset derived from sPC1 with Geneland; D) posterior assignment probabilities of the 41 locations to either of two clusters obtained on the reduced dataset derived from sPC2 with Geneland.

<p>In A and B white and black squares represent negative and positive scores, respectively, with square size proportional to the absolute value (inset in panel A). In each of panels C and D shades of grey indicate probabilities of assignment to one of two mutually exclusive clusters from 0 (dark grey) to 1 (white). Color versions of panels C and D are reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0167065#pone.0167065.s007" target="_blank">S7 Fig</a>.</p

Fst analysis in the main geographic regions.

<p>Fst analysis in the main geographic regions.</p

Representation of effective migration surfaces as obtained with EEMS on the reduced datasets derived from sPC 1 (A) and sPC2 (B).

<p>The coloured area covers only the user-defined polygon. The grid used by the program is shown in grey. Note that only 34 sampled demes appear (black dots, with size proportional to the n. of individuals), assigned to a grid vertex and not necessarily coinciding exactly with the original sampling location. Pooled locations were (numbered as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0167065#pone.0167065.s011" target="_blank">S1 Table</a>): 6+7, 9+10, 13+14+15+16, 25+26, 30+32. Note the different colour scales between the two maps. In both maps brown belts correspond to low migration values, i.e. barriers to gene flow.</p