Model selection results for the predictors of the non-material value attributed to forests among 239 rural residents.

All candidate models are GLMM models with landscapes as a random factor. Only candidate models with weight ≥ 0.02 are shown.所有候选模型均为以景观为随机因子的广义线性混合模型（Generalized Linear Mixed Models，GLMM），仅展示权重≥0.02的候选模型。