1. Model for Total Hg-Concentration

1. Model for total Hg-concentration

Total Hg = f(Site + Organ + Season + Organ x Site)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 0.1317902 / 0.01205651 / 10.931041 / 0
SiteL2 / 0.1132477 / 0.03866221 / 2.929157 / 0.0048
SiteR / -0.0668904 / 0.02938101 / -2.276653 / 0.0263
SeasonWarm / -0.0348053 / 0.01298138 / -2.681168 / 0.0094
OrganKidney / 0.2286556 / 0.0646973 / 3.534237 / 0.0008
OrganLiver / 0.2952914 / 0.03669698 / 8.046748 / 0
SiteL2:OrganKidney / 0.2538009 / 0.14408134 / 1.761511 / 0.0831
SiteR:OrganKidney / -0.1928555 / 0.07151931 / -2.696551 / 0.009
SiteL2:OrganLiver / 0.6136686 / 0.15994036 / 3.836859 / 0.0003
SiteR:OrganLiver / -0.1323394 / 0.07877989 / -1.679862 / 0.098

2. Model for CAT antioxidant response

CAT = f(Site + Organ + Season + Organ x Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 32.839 / 3.815 / 8.607 / 0
OrganKidney / -1.227 / 4.259 / -0.288 / 0.774
OrganLiver / 33.52 / 5.561 / 6.027 / 0
SiteL2 / 17.68 / 6.192 / 2.855 / 0.005
SiteR / -1.735 / 3.248 / -0.534 / 0.594
SeasonWarm / 52.809 / 10.295 / 5.13 / 0
OrganKidney:SeasonWarm / -40.651 / 11.536 / -3.524 / 0.001
OrganLiver:SeasonWarm / -64.533 / 11.607 / -5.56 / 0

3. Model for GPxantioxidant response

GPx = f(Organ + Site + Season + Organ:Site + Organ:Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 6.393 / 0.443 / 14.433 / 0
OrganKidney / -0.74 / 0.618 / -1.196 / 0.234
OrganLiver / -3.574 / 0.564 / -6.334 / 0
SiteL2 / -0.021 / 1.597 / -0.013 / 0.99
SiteR / -2.518 / 0.593 / -4.248 / 0
SeasonWarm / 9.144 / 0.971 / 9.416 / 0
OrganKidney:SiteL2 / -0.811 / 1.895 / -0.428 / 0.669
OrganLiver:SiteL2 / 0.084 / 1.757 / 0.048 / 0.962
OrganKidney:SiteR / 1.397 / 0.811 / 1.723 / 0.087
OrganLiver:SiteR / 2.309 / 0.744 / 3.104 / 0.002
OrganKidney:SeasonWarm / -2.941 / 1.168 / -2.518 / 0.013
OrganLiver:SeasonWarm / -8.039 / 1.089 / -7.384 / 0

4. Model for GRantioxidant response

GR = f(Site + Organ + Season + Organ x Site + Organ x Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 11.812 / 1.42 / 8.318 / 0
OrganKidney / -6.218 / 2.144 / -2.9 / 0.004
OrganLiver / 5.892 / 2.27 / 2.595 / 0.011
SiteL2 / 1.131 / 3.197 / 0.354 / 0.724
SiteR / -8.957 / 1.843 / -4.859 / 0
SeasonWarm / 35.346 / 2.071 / 17.064 / 0
OrganKidney:SiteL2 / -0.86 / 3.744 / -0.23 / 0.819
OrganLiver:SiteL2 / -2.627 / 3.435 / -0.765 / 0.446
OrganKidney:SiteR / 11.736 / 2.492 / 4.71 / 0
OrganLiver:SiteR / 4.747 / 2.227 / 2.132 / 0.035
OrganKidney:SeasonWarm / -20.667 / 2.708 / -7.631 / 0
OrganLiver:SeasonWarm / -46.429 / 2.737 / -16.962 / 0

5. Model for GST antioxidant response

GST = f(Site + Organ + Season + Organ x Site + Organ x Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 8.945 / 0.687 / 13.015 / 0
OrganKidney / 1.414 / 1.198 / 1.18 / 0.24
OrganLiver / 15.16 / 2.516 / 6.026 / 0
SiteL2 / 4.578 / 5.2 / 0.88 / 0.38
SiteR / -0.891 / 0.966 / -0.923 / 0.358
SeasonWarm / 20.721 / 3.029 / 6.84 / 0
OrganKidney:SiteL2 / 5.529 / 6.119 / 0.903 / 0.368
OrganLiver:SiteL2 / -7.333 / 7.411 / -0.989 / 0.324
OrganKidney:SiteR / 5.56 / 1.649 / 3.372 / 0.001
OrganLiver:SiteR / 2.528 / 3.281 / 0.771 / 0.442
OrganKidney:SeasonWarm / -18.529 / 3.607 / -5.137 / 0
OrganLiver:SeasonWarm / -11.038 / 4.63 / -2.384 / 0.018

6. Model for GSHtantioxidant response

GSHt = f(Site + Organ + Season + Organ x Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 0 / 0 / 7.768 / 0
OrganKidney / 0.945 / 0.098 / 9.695 / 0
OrganLiver / 0.258 / 0.032 / 7.961 / 0
SiteL2 / 0.247 / 0.103 / 2.383 / 0.019
SiteR / 0 / 0 / 0.174 / 0.862
SeasonWarm / 1.353 / 0.141 / 9.606 / 0
OrganKidney:SeasonWarm / -1.739 / 0.188 / -9.255 / 0
OrganLiver:SeasonWarm / -1.113 / 0.155 / -7.166 / 0

7. Model for membrane damage (LPO)

LPO = f(Organ + Season)

The model was a linear regression model with a gls extension (Organ and season as variance- covariate).

Coefficients from final model fitted with REML

Value / Std.Error / t-value / p-value
(Intercept) / 0.046 / 0.002 / 20.176 / 0
OrganKidney / 0.081 / 0.033 / 2.441 / 0.016
OrganLiver / 0.048 / 0.01 / 4.836 / 0
SeasonWarm / 0.653 / 0.075 / 8.673 / 0