Data analysis
To understand how genetic structure of jarrah populations might affect EAA, genetic structure was estimated by measure of genetic differentiation (F ST) (Weir & Cockerham, 1984) using the HierFSTAT package (Goudet, 2005) in R. We also estimated individual ancestry coefficients for input for the EAA in LFMM. For this, we used the sparse nonnegative matrix factorization (SNMF) method in the R package LEA (Frichot & François, 2015). SNMF was run for each k -value between 1 and 10, with eachk -value ran 10 times (200 iterations each). The idealk -value was selected by visualising the cross entropies as defined in the SNMF manual (Frichot & François, 2015) and choosing thek -value(s) with the lowest cross entropy score. For visualisation, a consensus for the optimum k -value across all 10 runs was estimated using the software CLUMPP (Jakobsson & Rosenberg, 2007), and the graphical parameters were drawn in the program DISTRUCT (Rosenberg, 2004).