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. 2018 Jul 5;8:10193. doi: 10.1038/s41598-018-28468-w

Table 2.

Variable importance using change in Area Under the Curve (AUC) for each environmental layer using 5 species distribution modelling algorithms a(columns) by two different background approaches (shown as random/targeted) to model the distributions of Salvator merianae (Argentine black and white tegu), Salvator rufescens (red tegu), Tupinambis teguixin (gold tegus), and the 3 combined in South America. The most important predictor in each is in bold.

GLM MARS BRT RF Maxent Mean ΔAUC
S. merianae
Warmest month (BIO5) 0.009/na 0.002/0.006 na/na 0.016/0.023 0.007/0.006 0.009/0.012
Coldest quarter (BIO11) 0.289/0.335 0.247/0.258 0.256/0.276 0.269/0.311 0.278/0.278 0.268/0.291
Precipitation (BIO12) 0.097/na 0.092/0.153 0.072/0.197 0.047/0.098 0.08/0.162 0.078/0.153
PET na/0.044 0.014/0.006 na/na 0.02/0.042 0.005/0.008 0.013/0.025
S. rufescens
Warmest month (BIO5) 0.005/na 0.024/0.005 na/na 0.002/0.009 0.02/0.004 0.013/0.006
Coldest quarter (BIO11) 0.121/na 0.119/0.119 0.084/na 0.08/0.084 0.134/0.075 0.101/0.093
Precipitation (BIO12) 0.197/0.3 0.276/0.303 0.122/0.191 0.085/0.163 0.127/0.142 0.161/0.22
PET 0.071/0.097 0.034/0.045 na/0.068 0.035/0.054 0.023/0.07 0.041/0.067
T. teguixin
Warmest month (BIO5) 0.042/na 0.017/0 na/na 0.107/0.014 0.026/0 0.048/0.003
Coldest quarter (BIO11) 0.232/0.188 0.212/0.283 0.168/0.203 0.266/0.208 0.172/0.241 0.210/0.225
Precipitation (BIO12) 0.010/0.049 0.02/0.028 0.053/0.043 0.139/0.049 0.057/0.044 0.056/0.043
PET na/na 0.006/0.001 na/na 0.124/0.004 0.05/0.004 0.06/0.003
Combined tegus
Warmest month (BIO5) 0.064/0.058 0.016/0.013 na/na 0.048/0.06 0.022/0.025 0.038/0.039
Coldest quarter (BIO11) 0.146/0.252 0.143/0.228 0.154/0.213 0.133/0.244 0.125/0.231 0.14/0.234
Precipitation (BIO12) 0.048/0.015 0.012/0.048 0.035/0.033 0.047/0.05 0.016/0.041 0.032/0.038
PET 0.014/na 0.014/0.048 0.035/na 0.052/0.03 0.021/0.02 0.027/0.032

aAbbreviations: SDM, species distribution model; AUC, area under the curve; ΔAUC, change in AUC; GLM, generalized linear model (logistic regression); MARS, multivariate adaptive regression splines; BRT, boosted regression trees; RF, random forest; PET, potential evapotranspiration; na, not applicable.