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. 2023 Dec 14;14:8309. doi: 10.1038/s41467-023-43478-7

Table 1.

Statistical output of multiple linear regression models for each assay context in the study

Species Assay context n Coefficient Estimate SE t value p value r2
Brown trout SW Iceland_AC 79 ln(I0) −0.551 0.228 −2.413 0.018 0.51
b 0.628 0.079 7.942 <0.001
EA 0.361 0.080 4.509 <0.001
Brown trout SW Iceland_CH 75 ln(I0) 0.124 0.253 0.492 0.624 0.51
b 0.591 0.067 8.842 <0.001
EA 0.054 0.200 0.272 0.786
Brown trout UK_CH 157 ln(I0) −0.037 0.341 −0.109 0.913 0.09
b 0.668 0.165 4.046 <0.001
EA −0.443 0.477 −0.929 0.354
Brown trout Spain_CH 79 ln(I0) 0.094 0.227 0.414 0.680 0.40
b 0.567 0.078 7.261 <0.001
EA 0.150 0.357 0.421 0.675
Atlantic salmon Spain_CH 19 ln(I0) 0.337 0.561 0.600 0.557 0.26
b 0.511 0.184 2.772 0.014
EA −0.015 0.895 −0.017 0.987
Atlantic salmon NE Iceland_CH 34 ln(I0) −2.612 0.816 −3.200 0.003 0.41
b 1.644 0.340 4.839 <0.001
EA 0.062 0.432 0.143 0.887

The estimated coefficients for the intercept (I0), allometric exponent (b), and activation energy (EA) are shown with associated standard errors (SE), t values, and p values. Results were obtained from a linear model describing the relationship between routine metabolic rate [ln(I) in mg O2 h−1] as the response variable and fish body mass [ln(M) in mg] and standardised Arrhenius temperature (TA in K) as explanatory variables. The r2 value and number of individual fish included for each model (n) are also provided.