PGLS regression models on maximum absolute growth rate per day (AGR) against body mass at maximum growth (BMatMG, in gram) for different taxonomic groups assuming a fixed slope of 0.75.

AGR and BMatMG were log 10 transformed before regressions were conducted (log10 AGR = log10 intercept+log10 BMatMG * 0.75). Regression models are ordered by values of intercepts. N = sample size. CI = confidence interval. lambda = Pagel’s lambda. AIC = Akaike Information Criterion.在进行回归分析前，需先对AGR与BMatMG进行以10为底的对数变换，变换公式为：log₁₀AGR = log₁₀截距 + log₁₀BMatMG × 0.75。回归模型按截距值排序。其中，N代表样本量，CI为置信区间（Confidence Interval），λ（Pagel’s lambda）为对应统计量，AIC为赤池信息准则（Akaike Information Criterion）。