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Table 2 Mean relative importance of each variable to the final ensemble model of each species studied for all environmental predictors plus spatial filters model (CLIM + NCLIM + SPAT). The variables highlighted in italics are the five top-ranked importance factors for each species

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

Species

CLIM

NCLIM

SPAT

BIO3

BIO4

BIO15

BIO19

CST

HII

LUCC

PC

S1

S2

S3

S4

S5

S6

S7

S8

Q. aquifolioides

6 . 3

18 . 7

3.9

7 . 6

4.1

4.0

17 . 5

5.0

6.2

3.7

3.1

3.1

2.5

6 . 3

4.5

3.7

Q. longispica

10 . 7

14 . 9

4.7

5.2

3.9

5 . 7

11 . 1

4.0

4.7

5.1

3.5

4.9

4.2

9 . 0

4.7

3.6

Q. monimotricha

8 . 2

17 . 8

2.9

5.5

2.7

19 . 3

9 . 9

5 . 5

3.2

2.8

3.7

5.0

2.7

3.8

3.3

3.6

Q. pannosa

5.5

22 . 9

3.7

4.5

4.5

7 . 3

11 . 5

5.7

2.4

3.8

3.5

6 . 3

3.3

7 . 8

3.6

3.5

Q. spinosa

10 . 0

10 . 2

4.0

6 . 7

3.9

17 . 4

17 . 8

5.3

3.9

2.5

3.2

4.1

2.8

2.5

2.8

3.1

Q. senescens

7 . 4

22 . 6

4.3

4.1

5.4

5 . 6

12 . 5

8 . 7

2.9

3.6

3.5

5.0

2.5

3.8

3.5

4.5

Q. guyavaefolia

4.9

15 . 7

5.3

3.8

3.9

5.7

10 . 8

7 . 9

7 . 0

3.6

3.9

8 . 3

4.5

5.5

5.3

4.1

Mean

7 . 6

17 . 5

4.1

5.3

4.0

9 . 3

13 . 0

6 . 0

4.3

3.6

3.5

5.2

3.2

5.5

4.0

3.7