Figure 3
From: Population genetics of the European rabbit along a rural-to-urban gradient
(a) Bayesian Inference Criterion (BIC) values versus numbers of clusters (K), suggesting that K = 8 was the most likely number of genetically distinct clusters. (b) Discriminant analysis of principal components (DAPC) scatterplot: 20 PC axes were retained, cumulatively explaining more than 95% of the total variance. Eigenvalues of the analysis are displayed in the inset. Each individual is represented as dots, circles, triangles, or squares, while the suggested clusters are shown as ellipses.
