Function to compute "bioclimatic" variables from monthly average temperature
and precipitation data. For modern data, this variables are generally
computed using min and maximum temperature, but for many palaeoclimatic
reconstructions only average temperature is available. Most variables, with
the exception of BIO02 and BIO03, can be rephrased meaningfully in terms of
mean temperature. This function is a modified version of
predicts::bcvars
.
Usage
bioclim_vars(prec, tavg, ...)
# S4 method for class 'numeric,numeric'
bioclim_vars(prec, tavg)
# S4 method for class 'SpatRaster,SpatRaster'
bioclim_vars(prec, tavg, filename = "", ...)
# S4 method for class 'SpatRasterDataset,SpatRasterDataset'
bioclim_vars(prec, tavg, filename = "", ...)
# S4 method for class 'matrix,matrix'
bioclim_vars(prec, tavg)
Details
The variables are:
BIO01 = Annual Mean Temperature
BIO04 = Temperature Seasonality (standard deviation x 100)
BIO05 = Max Temperature of Warmest Month
BIO06 = Min Temperature of Coldest Month
BIO07 = Temperature Annual Range (P5-P6)
BIO08 = Mean Temperature of Wettest Quarter
BIO09 = Mean Temperature of Driest Quarter
BIO10 = Mean Temperature of Warmest Quarter
BIO11 = Mean Temperature of Coldest Quarter
BIO12 = Annual Precipitation
BIO13 = Precipitation of Wettest Month
BIO14 = Precipitation of Driest Month
BIO15 = Precipitation Seasonality (Coefficient of Variation)
BIO16 = Precipitation of Wettest Quarter
BIO17 = Precipitation of Driest Quarter
BIO18 = Precipitation of Warmest Quarter
BIO19 = Precipitation of Coldest Quarter
These summary Bioclimatic variables are after:
Nix, 1986. A biogeographic analysis of Australian elapid snakes. In: R. Longmore (ed.). Atlas of elapid snakes of Australia. Australian Flora and Fauna Series 7. Australian Government Publishing Service, Canberra.
and expanded following the ANUCLIM manual