Table 1. Data used for generalized linear models to assess physiological responses to capture in longline fishing gear.
Turtle ID
AL08315
AL08320
AL08323
AL08324
AL08326
AL08331
AL10002
BA12001
BA12002
BA12003
BA12004
BA12006
BA12007
MU09001
MU09002
MU09012
MU09013
MU09014
MU09015
MU09016
MU09017
MU09018
MU09019
treatment
control
control
control
control
control
control
control
control
control
control
control
control
control
longline
longline
longline
longline
longline
longline
longline
longline
longline
longline
capture
date
30-Jul-08
30-Jul-08
4-Aug-08
4-Aug-08
5-Aug-08
6-Aug-08
11-Aug-10
19-Jul-12
19-Jul-12
19-Jul-12
31-Jul-12
1-Aug-12
1-Aug-12
28-Jul-09
28-Jul-09
3-Aug-09
3-Aug-09
3-Aug-09
7-Aug-09
7-Aug-09
7-Aug-09
7-Aug-09
7-Aug-09
SST
(°C)
24.0
24.0
24.0
24.0
24.0
24.0
26.2
25.7
25.7
25.7
24.7
24.5
24.5
26.5
26.0
27.0
27.0
27.0
27.5
27.5
27.5
27.5
27.5
CCL
(cm)
49.5
63.5
73
75
56
65
58
74
69
68.5
59
55
50
66
59
76
50
57
65.5
68
55
53
75
PCV
CORT
glucose
lactate
(%)
(ng·ml-1)
(mg·dl-1)
(mmol·l-1)
33
39
41
39
35
38
41
35
43
38
n/a
n/a
35
34
29
37
35
25
35
31
35
30
36
0
0
0.1
0.72
0
0
0.28
0
0
0
0
0.25
0
2.36
4.01
11.61
0.58
0.39
2.53
8.07
5.51
n/a
4.05
106
98
98
88
120
111
94
103
108
68
86
97
101
108
89
97
85
80
103
119
166
119
98
9.43
5.05
10.78
10.05
11.58
4.36
7.50
5.57
11.16
6.47
6.43
5.66
5.17
3.92
4.39
8.15
6.57
7.78
8.47
6.91
6.21
7.71
11.40
Table 2. Best-fit generalized linear model results for PCV, corticosterone, glucose, and lactate. Data for corticosterone and glucose were
fitted using a Gamma error distribution with log link function. Data for PCV and lactate were fitted using a Gaussian distribution and identity
link function. For each response variable, the best-fit model was compared with a null model that included only the intercept term and a full
model that included all explanatory variables (treatment, curved carapace length (CCL), sea surface temperature (SST), and year of capture).
Std.
Error
t value
Pr(>‫׀‬t‫)׀‬
AICc
‘Best’
residual
deviance
‘Null’
deviance
‘Full’
residual
deviance
‘Best’ vs.
‘Null’ Pr
(>F)
‘Best’ vs.
‘Full’ Pr
(>F)
5.067
5.192
<0.001***
112.05
174.420
(18)
369.140
(20)
154.940
(16)
0.020*
0.366
-4.968
1.364
-3.643
0.002**
0.182
0.078
2.330
0.032*
0.656
-2.033
0.056
58.83
3.475
(19)
17.493
(21)
3.471
(17)
0.025*
0.990
1.491
0.177
8.401
<0.001***
0.023
0.010
2.231
0.038*
†Glucose ‘Best’ GLM
Intercept
65.889
50.358
1.308
0.205
200.92
0.638
(21)
0.686
(22)
0.563
(18)
0.229
0.501
year
0.025
-1.217
0.237
†Lactate ‘Best’ GLM
Intercept
2.934
3.613
0.812
0.426
108.30
115.040
(21)
123.650
(22)
93.738
(18)
0.210
0.252
CCL
0.057
1.254
0.224
Coefficients
Estimate
PCV ‘Best’ GLM
Intercept
26.308
treatment
(longline)
CCL
CORT ‘Best’ GLM
Intercept
-1.334
treatment
(longline)
CCL
-0.030
0.072
† The null model was the best fit (i.e. lowest AICc) for these response variables. The next best fit based on AICc and evidence ratio (<2) was compared with the null and
full model.
Statistical significance denoted at the 0.05 (*), 0.01 (**), and 0.001 (***) levels.
Deviance presented with (df)