Supporting files for: the impact of livestock farming on global fire regimes

Files here support publication of "The impact of livestock farming on global fire regimes" (ERL, 2025). This version reflects changes made during academic peer review. The top directory contains code to analyse the results, a shapefile of the world bank regions, and outputs of the generalised linear models of Haas et al., (2022), ERL, doi: 10.1088/1748-9326/ac6a69. These are combined with outputs from this study to produce the paper's findings. The results themselves are found in the "/Results" sub-directory, which contains the following files: Carrying_cap: the calculated carrying capacity of global grazing lands; Cattle_numbers: the counts of cattle and buffalo; Cattle_pressure: the grasslands grazing pressure of each pixel in livestock units (1 LSU = 455kg live weight); Cattle size: the size of cattle and buffalo in LSU Feedlot_pressure: The LSU fed in grain-based feedlots; Horse_pressure: The grassland grazing pressure from horses in LSU; Mixed_pressure: The LSU fed in mixed grain & grass systems; Pasture_fire_WHAM: The pixel fraction burned by managed pastoral fire use; Sheep_numbers: counts of sheep & goats per pixel; Sheep_pressure: the grassland grazing pressure from sheep & goats in LSU; Sheep_size: The mean sheep & goat size in LSU. Additional sub-directories are as follows: 1. Generics: these are widely used secondary data used to drive the model, and provided here for convenience. See the folder readme for citations 2. HANPP: these are data from the Human Appropriation of Primary Production (HANPP) used to evaluate the model and provided here for convenience. See: Kastner, T., et al., (2022), Global Change Biology, doi: 10.1111/gcb.15932. See folder readme for full citation. 3. Livestock routine: This contains the code to run the livestock grazing intensity algorithm. 5. WHAM _025: This contains code & data to install & run the wildfire human agency model (WHAM!) at 0.25 degree resolution. See Perkins et al., (2024), GMD, doi: 10.5194/gmd-17-3993-2024.