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).