Results of the landscape-scale Bayesian model (values are provided in Table 3).

Points show the inferred parameters with their 95% posterior probability: μ is the global mean, θ 1 represents the effect of site, θ2 is the slope of the relation between the geographical and genetic distance within sites in a two-dimensional x,y-plane, θ3 is the slope of the relation between the geographical and genetic distance within sites according to an elevation gradient, θ4 describes the effect of drought severity, θ5 describes the effect of waterlogging frequency and θ6 describes the effect of soil type.