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Download and process Soil Bioclimatic and Temperature layers

Source: R/soilclimate.R
soilclimate.Rd

This function downloads, processes, and extracts soil bioclimatic variables and monthly soil temperatures from the Global Soil Temperature dataset (Lembrechts et al., 2022).

Usage

soilclimate(x, vars, depth = "0-5", ...)

Arguments

x

The output from `par_set()` defining the area or locations for extraction, the reference system, and the buffer. Leave this empty and use `par_set()` to define parameters for download.

vars

Character vector of one or more variables to download and process.

depth

Character string defining the soil depth range. Options are "0-5" (default) or "5-15".

...

Additional arguments (currently unused).

Value

If `par_set()` contained a raster/polygon/points with buffer: a `SpatRaster` stack of processed variables. If `par_set()` contained spatial points or data.frame of points without buffer: a `data.frame` of x, y, and extracted values.

Details

Available variables (working synonyms in parentheses):

Bioclimatic Variables

  • SBIO1 - "SBIO1" [°C] ("annual mean temperature", "annual mean", "amt")

  • SBIO2 - "SBIO2" [°C] ("mean diurnal range", "mean diurnal", "mdr")

  • SBIO3 - "SBIO3" [Ratio] ("isothermality")

  • SBIO4 - "SBIO4" [SD] ("temperature seasonality", "seasonality")

  • SBIO5 - "SBIO5" [°C] ("max temperature warmest month", "max temp", "warmest month")

  • SBIO6 - "SBIO6" [°C] ("min temperature coldest month", "min temp", "coldest month")

  • SBIO7 - "SBIO7" [°C] ("temperature annual range", "annual range", "tar")

  • SBIO8 - "SBIO8" [°C] ("mean temperature wettest quarter", "wettest quarter")

  • SBIO9 - "SBIO9" [°C] ("mean temperature driest quarter", "driest quarter")

  • SBIO10 - "SBIO10" [°C] ("mean temperature warmest quarter", "warmest quarter")

  • SBIO11 - "SBIO11" [°C] ("mean temperature coldest quarter", "coldest quarter")

Monthly Mean Soil Temperatures

  • soilT01 - "soilT01" [°C] ("january mean", "january", "jan")

  • soilT02 - "soilT02" [°C] ("february mean", "february", "feb")

  • soilT03 - "soilT03" [°C] ("march mean", "march", "mar")

  • soilT04 - "soilT04" [°C] ("april mean", "april", "apr")

  • soilT05 - "soilT05" [°C] ("may mean", "may")

  • soilT06 - "soilT06" [°C] ("june mean", "june", "jun")

  • soilT07 - "soilT07" [°C] ("july mean", "july", "jul")

  • soilT08 - "soilT08" [°C] ("august mean", "august", "aug")

  • soilT09 - "soilT09" [°C] ("september mean", "september", "sep")

  • soilT10 - "soilT10" [°C] ("october mean", "october", "oct")

  • soilT11 - "soilT11" [°C] ("november mean", "november", "nov")

  • soilT12 - "soilT12" [°C] ("december mean", "december", "dec")

Citation:
Lembrechts JJ et al. (2022)."Global maps of soil temperature." Global Change Biology 28, 3110-3144. doi:10.1111/gcb.16060

Note: Please cite original sources of primary datasets where appropriate.

Examples

# \donttest{
processed <- par_set(country= "Italy", crs=3035) %>% 
soilclimate(vars=c("SBIO1", "SBIO10"), depth="5-15")
   # }