Table 3 Multimodel inference results showing sums of the Akaike weights (SWs), model-averaged coefficients and adjusted standard errors of the predictor groups for the number of songs related to family.

From: Folk songs and the regional geographic environment: the influence and inspiration of biodiversity and ecosystems on Chinese folk songs in the Yangtze River Delta

Area

Variables

SW

Estimate coefficients

SE

Z value

Jiangsu

(Intercept)

-

−0.12

1.64

0.07

Farmland

1.00

19.25

3.54

5.44***

Urban area

0.72

5.23

4.56

1.15

Woodland

1.00

12.29

3.57

3.44***

Wetland

0.57

3.21

3.97

0.81

Anhui

(Intercept)

-

0.45

1.18

0.38

Farmland

1.00

6.33

1.84

3.43***

Urban area

1.00

4.14

2.07

2.00*

Woodland

1.00

13.86

2.28

6.07***

Wetland

0.35

0.61

1.34

0.45

Zhejiang

(Intercept)

-

−0.88

1.09

0.80

Farmland

1.00

13.03

2.13

6.11***

Urban area

1.00

6.89

2.19

3.14**

Woodland

1.00

7.57

2.38

0.80**

Wetland

1.00

5.23

2.16

2.42*

Shanghai

(Intercept)

-

0.45

1.18

0.38

Farmland

1.00

6.33

1.84

3.43***

Urban area

1.00

4.14

2.07

2.00*

Woodland

1.00

13.86

2.28

6.07***

Wetland

0.35

0.61

1.34

0.45

  1. *: p < 0.05; **: p < 0.01; ***: p < 0.001