Resumen
Using this dataset, we aimed to investigate the relative importance of intrinsic (genome size -C value: CV) and extrinsic (climatic variables) factors as predictors of BMR in 67 rodent species in a phylogenetic context. The dataset contains a list of species, with their corresponding C-value (DNA pg), body mass (g), absolute basal metabolic rate (BMR: ml O2 / h), habitat, climatic variables and georeferencing information. Source references are listed as well.
Métodos
We compiled data on absolute basal metabolic rate (BMR, ml O2/h), body mass (M, g), genome size (C-value, pg), and geographical coordinates for 67 rodent species. Within fossorial species (i.e. species that live underground but forage on the surface) we also included those species that are considered subterranean (i.e. species that live and forage entirely underground; Begall et al., 2007, Merchant et al. 2024). We only considered studies that (1) included BMR measured in animals captured in the field in which geographical coordinates or localities of the collecting sites were reported and (2) studies that reported genome size in the same species. Data were extracted from 2 different sources: from the original study or from different databases (e.g. Atanasov and Petrova-Tacheva, 2009; Lovegrove, 2003; Gregory, 2017). We carefully examined the data reported in the published databases used. Where possible, reported CV and BMR data points were checked against the original publication for reported numerical value and taxonomic affiliation; where inconsistencies were found, we used the data reported in the original publication. We discarded studies that measured BMR of animals that were maintained in the laboratory for more than one generation or did not report the capture site. For each geographical coordinates we downloaded the climatic data from WorldClim database (http://www.worldclim.org/; Fick and Hijmans, 2017), with the R package “geodata”, using a spatial resolution of 2.5 minutes (~21 km2; Hijmans, 2023a). We used the following climatic variables: annual mean temperature (Tmean, in °C), minimum temperature of the coldest month (Tmin, in °C), maximum temperature of the warmest month (Tmax, in °C), temperature annual range (TAR: difference between maximum temperature of warmest month and minimum temperature of the coldest month, in °C), temperature seasonality (TS: standard deviation of the mean monthly temperature, in °C), accumulated annual rainfall (PP, in mm), and rainfall seasonality (PS: standard deviation of the mean monthly rainfall, in mm). In addition, we downloaded a map of net primary productivity (NPP, in tons of carbon per 0.25 degree cell) from the Socioeconomic Data and Application Center homepage (http://sedac.ciesin.columbia.edu/es/hanpp.html, based on Imhoff and Bounoua, 2006; Imhoff et al., 2004), and extracted NPP data for each geographical coordinates from the image with the R package “terra” (Hijmans, 2023b).