General linear models of relationships among genetic and environmental predictors and response variable ‘growth’, a fitness proxy of Swietenia macrophylla. Analyses conducted for both isolated and forest landscape context samples grouped to include all samples, samples from only mesic and dry provenances (% DE, percent deviance explained by model i; wAIC, AIC weights shows the relative likelihood of model i; ΔAICc, difference between model AIC and minimum AIC in the set of models; AICc, Akaike’s Information Criterion corrected for small samples sizes; k, number of parameters in the given model; ß, unstandardised regression slopes and standard errors for each predictor variable in models with ΔAICc < 4; tm, outcrossing rate; tm − ts, biparental inbreeding; rp, correlated paternity; PCENV, first component of principal component analysis of environmental variables; 1, null model)