Table 2 Summary statistics for the best GLMM (see TableĀ 1) predicting the relative body condition (Kn) of Common Snook in relation to sunfish biomass, hydrologic variation, fish size, and sampling year.

From: Linking a seasonal freshwater prey subsidy to the body condition of an estuarine consumer in a subtropical coastal river

Variable

Beta

SE

z-value

p-value

VIF

VIF 95% CI

(Intercept)

9.55E-01

1.66E-02

57.53

< 0.01

Ā Ā 

Water Level

-1.38E-03

1.66E-04

-8.30

< 0.01

2.39

[2.21, 2.59]

Days Marsh < 30Ā cm

-3.76E-04

7.33E-05

-5.14

< 0.01

2.29

[2.13, 2.49]

Sunfish Biomass

2.76E-05

6.73E-06

4.10

< 0.01

1.57

[1.47, 1.69]

Fish Size (SL)

1.57E-03

2.03E-04

7.73

< 0.01

1.04

[1.01, 1.16]

Year 2

2.09E-02

1.48E-02

1.41

0.16

3.40

[3.13, 3.71]

Year 6

5.25E-02

1.71E-02

3.07

< 0.01

Ā Ā 

Year 7

4.57E-02

1.38E-02

3.31

< 0.01

Ā Ā 

Year 8

7.13E-02

1.35E-02

5.30

< 0.01

Ā Ā 

Year 9

2.20E-02

1.44E-02

1.53

0.13

Ā Ā 

Year 10

-1.86E-02

1.29E-02

-1.44

0.15

Ā Ā 

Year 11

-6.86E-03

1.36E-02

-0.50

0.61

Ā Ā 

Year 12

-1.46E-02

1.69E-02

-0.86

0.39

Ā Ā 

Year 13

2.44E-02

1.29E-02

1.89

0.06

Ā Ā 

Year 14

3.51E-02

1.35E-02

2.60

< 0.01

Ā Ā 

Year 15

2.87E-02

1.33E-02

2.16

0.03

Ā Ā 

Year 16

-2.00E-02

1.40E-02

-1.43

0.15

Ā Ā 

Year 17

-4.41E-02

1.48E-02

4.57

< 0.01

Ā Ā 
  1. Results show a positive significant relationship between higher Kn and magnitude of sunfish biomass, and fish size, and a negative relationship with water level and the number of days the freshwater marsh has dropped below 30Ā cm when prey become concentrated in the river channels. Variance Inflation Factor (VIF) along with 95% confidence interval used to inspect for multicollinearity is included.