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Table 1 The environmental predictor sets used in the different ensemble models

From: Potential distributions of seven sympatric sclerophyllous oak species in Southwest China depend on climatic, non-climatic, and independent spatial drivers

Abreviation

Environment variable

VIF

CLIM

CLIM + NCLIM

CLIM + NCLIM

 + SPAT

BIO3

Isothermality (BIO2/BIO7) (× 100) (°C)

3.12

•

•

•

BIO4

Temperature seasonality (standard deviation × 100) (°C)

4.83

•

•

•

BIO15

Precipitation seasonality (coefficient of variation:mean/SD × 100)

6.36

•

•

•

BIO19

Precipitation of coldest quarter (mm)

5.15

•

•

•

LUCC

Land use and land cover classes

1.19

 

•

•

POC

Profile curvature

1.00

 

•

•

CST

Classification of soil texture

1.09

 

•

•

HII

Human influence index

1.19

 

•

•

S1~S8

Eight spatial filters

1.14~1.86

  

•

  1. CLIM climatic variables only, CLIM + NCLIM climatic and non-climatic variables, CLIM + NCLIM + SPAT climatic, non-climatic and spatial constraint variables, VIF variance inflation factor