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.