Fig. 2 (a) Variable importance of seven environmental factors in
modeling potential distributions of A. annua with 10 different
species distribution models. (b) Response curves of BIO9 (mean
temperature of driest quarter) for each algorithm in modeling potential
distribution of A. annua. The 10 species distribution models were
Artificial Neural Network (ANN), Classification Tree Analysis (CTA),
Flexible Discriminant Analysis (FDA), Generalized Additive Model (GAM),
Generalized Boosting Model (GBM), Generalized Linear Model (GLM),
Multiple Adaptive Regression Splines (MARS), Maximum Entropy (MAXENT),
Random Forests (RF) and Surface Range Envelop (SRE). The seven
environmental factors were altitude (ALT), Mean Diurnal Range (Mean of
monthly (max temp - min temp)) (BIO2), Mean Temperature of Wettest
Quarter (BIO8), Mean Temperature of Driest Quarter (BIO9), Precipitation
Seasonality (Coefficient of Variation) (BIO15), Precipitation of Warmest
Quarter (BIO18), Precipitation of Coldest Quarter (BIO19).