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Table 4 Output contribution and importance values of five environmental variables used to create the reduced present day and future MaxEnt distribution models for 14 Solen species

From: Modelling present and future global distributions of razor clams (Bivalvia: Solenidae)

Solen species

Training records

Present

Training records

Future

Environmental variables

Contribution rate/permutation importance (%)

Environmental variables

Contribution rate/permutation importance (%)

Depth (m)

Land distance (km ×100)

Primary productivity (mg C m−2 day−1 cell−1)

Salinity (PSS)

Mean sea surface temperature (°C)

Depth (m)

Land distance (km ×100)

Primary productivity (mg C m−2 day−1 cell−1)

Salinity (PSS)

Mean sea surface temperature (°C)

aureomaculatus

13

53/16

21/78

8/2

0.2/0.0

18/5

17

35/68

35/3

7/3

2/0.3

22/25

canaliculatus

10

23/86

52/1

4/0.1

4/0.9

17/12

13

13/1

56/28

4/2

5/7

21/62

fonesii

41

54/11

33/86

0.0/0.0

0.0/0.0

12/3

55

30/56

46/7

4/1

3/3

16/32

grandis

20

22/8

37/83

0.6/0.1

16/2

25/6

36

27/47

39/13

12/7

7/5

15/29

kajiyamai

10

64/58

18/39

3/0.2

0.4/0.0

14/2

13

25/47

53/12

4/2

0.8/0.4

17/39

marginatus

105

21/4

44/8

14/1

7/3

14/84

142

2/2

62/29

12/2

5/3

19/65

roseomaculatus

11

52/8

33/90

0.0/0.0

0.7/0.0

14/2

15

18/10

62/41

0.2/0.4

0.2/0.2

19/49

sicarius

24

4/0.1

56/89

23/2

2/1

14/8

32

3/1

58/57

23/11

3/6

14/25

sloanii

12

42/3

46/95

0.7/0.0

0.6/0.0

11/2

17

7/0.6

67/59

2/0.5

1/0.2

24/40

strictus

12

58/21

36/78

0.1/0.0

0.4/0.1

5/1

17

11/12

59/37

2/0.4

9/8

18/42

thuelchus

10

56/17

38/83

0.1/0.0

1/0.2

4/0.2

13

6/5

65/38

7/3

0.0/0.1

21/54

vagina

6

49/15

25/80

0.0/0.0

2/0.2

24/5

9

11/3

63/37

0.4/0.0

4/2

22/58

vaginoides

69

16/90

54/2

7/1

6/2

16/5

93

21/69

49/8

8/3

5/5

17/15

viridis

28

10/84

53/8

11/0.2

6/0.6

20/8

37

18/5

47/30

9/0.8

5/4

20/60

  1. Values are normalized to give percentages. Environmental variables with highest contribution and permutation importance rates represent the most important variables in training and creating the final distribution models. The average AUC of training data in both present and future distribution models was from 0.97 to 1 from the ten model runs, with little variation between runs indicating a good model fit