Supporting data: A niche-based approach to explore the impacts of environmental disturbances on biodiversity

All data required to replicate this study can be is outlined below:

R Code: 

• Hypervolume-construction-pipeline.R details the framework required for constructing niche hypervolumes and associated niche metrics.
• Identify-uniquely-burnt-niche-space-on-the-landscape.R allows cumulative unique niche space burnt to be mapped onto the landscape.
• Creating-supplementary-plots.R shows how all species-supplementary plots were created.

Spreadsheets:

• Supplementary_results.xlsx give species-specific results for all niche metrics.

Data:

• All data required to replicate analyses are located in 'Data_files.zip', apart from species distributions (which can be found at the sources listed in the Methods).
• Within 'Data_files.zip':
  • Study_site is a polygon for the study site used.
  • fire_study_area is a shapefile for the Black Summer Megafires, cropped to the study area.
  • australia_environments.RData is an RData file with the relevant environmental raster layers used in this analyis.
  • Metadata_from_Ward_et_al_2020.csv shows species metadata, as used in Ward et al. 2020 (referenced in paper).

Plots:

• Species-specific results plots are located in 'Supplementary_species_figures.zip'. Within each figure:
  • A: the species distribution cropped to the study area (grey), and the path of the Black Summer megafires (red).
  • B: the species distribution cropped to the study area (grey), and the unique niche space burnt on the landscape (yellow).
  • C: the species entire distribution (grey) and the study area (green).
  • D: A randomly selected representation of that species pre-fire niche (blue) and burnt niche (yellow), according to the first three principal components.