Table 1 Statistical output of models exploring the key drivers of metabolic rate.

From: Metabolic plasticity can amplify ecosystem responses to global warming

Model

Parameter

Value

SE

t value

p value

(a) With plasticity

I0

−11.03

0.1558

−70.80

<0.001

 

ln(M)

0.6307

0.0461

13.70

<0.001

 

TA

0.7217

0.0319

22.61

<0.001

 

TC

−0.1709

0.0647

−2.641

0.008

 

ln(M):TC

−0.0741

0.0205

−3.619

<0.001

 

TA:TC

0.1124

0.0230

4.881

<0.001

(b) Without plasticity

I0

−11.00

0.1595

−68.96

<0.001

 

ln(M)

0.6518

0.0481

13.54

<0.001

 

TA

0.7015

0.0282

24.88

<0.001

  1. The estimated coefficients (value) for size- and temperature-dependence parameters are shown with standard errors (SE), t values, and p values, obtained from linear mixed-effects models fitted to metabolic rate data on 44 invertebrate populations from nine streams of different temperature (Fig. 1). In both models, log metabolic rate [ln(I) in J h−1] was the dependent variable and the random effects structure included a random intercept for species identity and random slopes for each of the main effects. (a) The most parsimonious model included an intercept [ln(I0)], main effects of log body mass [ln(M) in mg], acute temperature exposure [TA in K], and chronic temperature exposure [TC in K], and interactive effects of TC on ln(M) and TA. (b) An alternative model without metabolic plasticity contains only an intercept and main effects for ln(M) and TA, in line with the general MTE prediction of a universal size-scaling and activation energy (but with ΔAIC > 31 (see Supplementary Table 7), indicating significantly weaker explanatory power than the model with metabolic plasticity.