Data from: Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms
Data files
Nov 25, 2024 version files 770.72 KB
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Dataset_ALL.txt
580.88 KB
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Dataset_Amphibians.txt
41.38 KB
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Dataset_Aquatic_Invertebrates.txt
80.28 KB
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Dataset_Fish.txt
10.43 KB
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Dataset_Insects.txt
38.10 KB
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Dataset_Reptiles.txt
15.90 KB
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README.md
3.74 KB
Abstract
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.
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)
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
sst.mnmean.nc (56.5 MB) 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/
lsmask.nc (134 KB) https://www.esrl.noaa.gov/psd/data/gridded/data.unified.html
ndviavhrrmeanrange.nc (263 KB) http://research.jisao.washington.edu/data/ndvi/