Figure 2

Proportion of Variance explained by each eigentrait. Singular value decomposition results in dimensions that we refer to as "eigentraits", which are ranked according to how much variation in the dataset they explain. The distribution of variance explained for the observed and null data are shown as blue and red circles, respectively.