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Table 2 Parameter and smoothing function estimates from generalized additive models assessing the Temporal effect of relocation interval on environmental associations with Alligator Gar (Atractosteus spatula) displacement

From: Meta-analysis of a megafish: assessing patterns and predictors of Alligator Gar movement across multiple populations

Parameter Estimates

Smoothing Functions

Model

Parameter

Estimate

SE

Z

p

Parameter

χ2

p

ΔQ

Intercept

8.44

0.09

90.27

< 0.01

ScaleM

37.49

< 0.01

 

StudyTR

0.36

0.16

2.30

0.02

ScaleS

0.01

0.92

Q

Intercept

8.42

0.09

93.14

< 0.01

ScaleM

29.69

< 0.01

 

StudyTR

0.41

0.16

2.54

0.01

ScaleS

0.26

0.78

ΔT

Intercept

8.54

0.10

87.38

< 0.01

ScaleM

13.06

< 0.01

 

StudyTR

0.40

0.17

2.39

< 0.02

ScaleS

6.14

0.04

T

Intercept

8.36

0.09

94.40

< 0.01

ScaleM

48.25

< 0.01

 

StudyTR

0.48

0.17

2.88

< 0.01

ScaleS

3.21

0.07

  1. Each model independently investigated the effect of the change in average daily discharge (ΔQ), average daily discharge (Q), change in average daily water temperature (ΔT), and average daily water temperature (T) on displacement and included an additive effect of study. For parameter estimates, the coefficient estimate, standard error (SE), test statistic (Z), and p-values (p) are provided. For the smoothing functions, smoothing parameters include data at the monthly (ScaleM) or seasonal (ScaleS) intervals, the Chi-Square test statistic (χ2), and associated p-values (p). Bold text denotes significant relationships for both parameter estimates and smoothing functions