Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms

Thermodynamics is a major factor determining rates of biochemical processes, rates of energy expenditure, and ultimately resilience to global warming in ectothermic organisms. Nonetheless, whether ectothermic organisms exhibit general adaptive metabolic responses to cope with different thermal conditions has remained a highly contentious subject over the past several decades. Here we combine a model comparison approach with a global dataset of standard metabolic rates (SMR), which include 1,160 measurements across 788 species of aquatic invertebrates, insects, fishes, amphibians, and reptiles, to investigate the association between metabolic rates and environmental temperatures in their respective habitats. Using Akaike’s information criterion (AICc) to compare different candidate models, our analyses suggest that variation in SMR after removing allometric and thermodynamic effects is best explained by the total temperature range encountered across seasons, which always provid..., , , # Data from: Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms

[https://doi.org/10.5061/dryad.jm63xsjf2](https://doi.org/10.5061/dryad.jm63xsjf2)

## Description of the data and file structure

Data and R scripts (R 4.2.1 GUI for MAC) to replicate analyses in Carter MJ, PA Cortes, & EL Rezende (2023) Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms. Journal of Thermal Biology 115 (2023) 103565

Details:

The raw datasets with metabolic measurements and experimental conditions in Amphibians, Aquatic Invertebrates, Fish, Insects and Reptiles was merged with multiple grid files with climate data to obtain Dataset_ALL.txt (step-by-step procedure to obtain this file and run analyses is available in Analyses.R).

### Files:

* Dataset ALL.txt – Merged dataset to replicate analyses
* Dataset Amphibians.txt – Raw dataset
* Dataset Aquatic Invertebrates.txt – Raw dataset
* Dataset Fish.txt – Raw dataset
* Dataset Insects...,