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Table 7 Results of tests of the association of symmetric component, asymmetric component and leaf size on the total sample with several individual predictor variables, using the dbRDA multivariate F-statistic. %VAR, percentage of variance explained by each variable; F, F values; ***P < 0.001; **P < 0.01; *P < 0.05

From: Genetic, geographic, and climatic factors jointly shape leaf morphology of an alpine oak, Quercus aquifolioides Rehder & E.H. Wilson

Test

Variable predictors

Symmetric component

Asymmetric component

Leaf size

F

P

%VAR

F

P

%VAR

F

P

%VAR

Marginal (all variables)

Latitude

1.97

0.107

3.7

3.06

0.016*

20.2

0.15

0.699

0.08

Longitude

4.48

0.003**

8.3

5.68

0.003**

37.3

0.02

0.885

0.01

Altitude

2.9

0.043*

5.4

1.96

0.103

12.9

1.2

0.307

0.6

PC1

1.97

0.095

3.7

0.85

0.496

5.6

1.24

0.254

0.6

PC2

8.59

0.001***

15.9

0.31

0.905

2

15.94

0.001***

8.3

PC3

0.87

0.411

1.6

0.71

0.556

4.7

0.04

0.849

0.02

BIO03

2.22

0.072

4.1

1.42

0.207

9.3

0.04

0.82

0.02

PREC12

2.35

0.067

4.3

0.31

0.915

2.1

0.07

0.782

0.04

WIND03

25.74

0.001***

47.7

0.25

0.954

1.6

72.45

0.001***

37.8

BIO17

2.82

0.038

5.2

0.65

0.647

4.3

12.61

0.001***

6.6

Conditional (climate + genetics)

Latitude

1.97

0.107

7.9

4.57

0.005**

35.1

0.15

0.685

0.08

Longitude

4.48

0.005**

17.8

3.21

0.027*

24.6

0.02

0.893

0.01

Altitude

2.9

0.027*

11.5

0.48

0.768

3.7

1.2

0.26

0.6

Conditional (geography + climate)

PC1

0.93

0.406

3.7

0.85

0.47

6.5

1.21

0.263

0.6

PC2

6.07

0.002**

24.1

0.31

0.908

2.3

11.62

0.001***

6.1

PC3

0.5

0.746

2

0.71

0.568

5.5

0

0.96

0

Conditional (geography + genetics)

BIO03

2.59

0.046*

10.3

1.5

0.185

11.5

0.37

0.545

0.2

PREC12

1.8

0.129

7.2

0.35

0.87

2.7

0.47

0.517

0.2

WIND03

2.57

0.062

10.2

0.3

0.905

2.3

2.2

0.146

1.1

BIO17

1.33

0.235

5.3

0.75

0.551

5.8

5.54

0.025*

2.9