DOI: 10.5061/dryad.jm63xsjf2
title: Data from: Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms

description: 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 provided a better fit than the average
 temperature for the hottest and coldest month, as well as mean annual
 temperatures. This pattern was consistent across taxonomic groups and
 robust to sensitivity analyses. Nonetheless, aquatic and terrestrial
 lineages responded differently to seasonality,
 with SMR declining –6.8 % ºC–1 of
 temperature variation in aquatic organisms and increasing 2.8 % ºC–
 1 in terrestrial.  These responses may reflect
 alternative strategies to mitigate the impact of warmer temperatures on
 energy expenditure, either by means of metabolic reduction in thermally
 homogeneous water bodies or effective behavioral thermoregulation to
 exploit temperature heterogeneity on land.
description: # 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.txt – Raw dataset * Dataset Reptiles.txt – Raw dataset ### Variables sp: specie id mb_g: body mass in grams mr_Wkg: Metabolisms rate in Watts per grams mr: Metabolic rate in Vo2 (ml/h) ta: Ambient temperature (°C) lat: Latitude of sampling location (degree) lon: Longitude of sampling location (degree) ref: Reference land.sea: Land and sea realm lifestyle: habitat used (i.e., pelagic, benthic, etc) mindeep: Minimum habitat deep range (only marine and freshwater animals) maxdeep: Maximum habitat deep range (only marine and freshwater animals) #### Dataset metadata (Only merged dataset) type: Code to major taxonomic group (Raw data set code) air.water: Code to major ecosystem group vert: Code to major taxonomic group (vertebrate / invertebrate) lat.raw / lon.row / lat.grid/ lon.grid: Spatial data built to plot and analyze temperature at geographical scale   jan /feb / mar ... dec : Monthly temperature values per single geographical coordinate to each data collected (air.mon.mean.nc / set.mnmean.nc) lat.ndvi / lon.ndvi : Spatial data built to plot and analyze NDVI at geographical scale ndvi: NDVI values per single geographical coordinate to each data collected (ndviavhrrmeanrange.nc) dtr: DTR values per single geographical coordinate to each data collected (cru_ts4.03.1981.1990.dtr.dat.nc)  tmax: Maximum annual temperature C  tmin: Minimum annual temperature C  tmean: Mean annual temperature C  trange: Range annual temperatureC symbol: Symbol code plot data at at geographical scale color: Color code plot data at at geographical scale log.mb: log10 (body mass)  ## Code/software Analyses.R – script to replicate analyses with open source R (details to install R here: [https://cran.r-project.org](https://cran.r-project.org)) ## Access information Data was derived from the following sources: These files are not included because of their large size but can be retrieved in the following links (all files were accessed on 04 Dec 2019): air.mon.mean.nc (174.1 MB) [https://www.esrl.noaa.gov/psd/data/gridded/data.ghcncams.html](https://www.esrl.noaa.gov/psd/data/gridded/data.ghcncams.html) sst.mnmean.nc (56.5 MB) [https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html](https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html) cru_ts4.03.1981.1990.dtr.dat.nc (248.8 MB) [https://crudata.uea.ac.uk/cru/data/hrg/](https://crudata.uea.ac.uk/cru/data/hrg/) lsmask.nc (134 KB) [https://www.esrl.noaa.gov/psd/data/gridded/data.unified.html](https://www.esrl.noaa.gov/psd/data/gridded/data.unified.html) ndviavhrrmeanrange.nc (263 KB) [http://research.jisao.washington.edu/data/ndvi/](http://research.jisao.washington.edu/data/ndvi/)