Fig. 1
From: Genomic insights into local adaptation and vulnerability of Quercus longinux to climate change
Spatial genetic structure and diversity of Q. longinux in Taiwan. (a) Sampling populations annotated with ancestral components inferred by StrAuto according to K = 3. (b) Results of StrAuto from K = 2 to 3. The height of each colored segment represents the possible ancestry of each individual derived from inferred ancestors. (c) Results of PCA with different colors reflecting different groups. (d) Results of the EEMS analysis of regions significantly deviating from isolation by distance (IBD). The blue, white, and orange colors illustrate regions with high dispersal rates (dispersal corridor), IBD, and low dispersal rates (dispersal barrier), respectively. (e) Results of the effective diversity (i.e., the modeled dissimilarity between pairs of individuals from the same location) estimated by the EEMS analysis. Blue and orange represent regions of high and low genetic diversity, respectively. The black dots indicate the sampling locations