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Table 6 Percent contribution and relative importance of the variables used in DNN and MaxEnt modeling of forest fire-vulnerability risk of Nepal. See Table 1 for corresponding variable units

From: Forest fire pattern and vulnerability mapping using deep learning in Nepal

Variables

MaxEnt

DNN

Percent contribution

Permutation importance

Relative importance

Percent contribution

Precipitation seasonality

16.2

23.2

0.98

12.6

Mean temperature of driest quarter

1.5

17.5

0.14

7.7

Slope

5.9

8.6

0.2

2.9

Isothermality

3.3

8

0.11

10.6

Precipitation of the driest quarter

6.5

7.9

0.21

2.9

Annual precipitation

18.9

6.1

1

14.2

Population density

2.3

5.5

0.1

4.7

Temperature annual range

1.7

5.3

0.07

2.9

Distance to water

6.8

4.5

0.22

2.8

Precipitation of the driest month

2.7

2.8

0.13

6.9

Distance to path

8.6

1.8

0.25

7.1

Forest cover

11.6

1.7

0.31

9.4

Aspect

4.2

1.6

0.16

3.5

Livestock density

5

1.5

0.19

4.8

Distance to settlement

0.4

1.3

0.01

2.4

Normalized Difference Vegetation Index mean

4.3

1

0.14

5.5