Habitat in flames: How climate change will affect fire risk across koala forests

Farzin Shabani*, Mahyat Shafapourtehrany, Mohsen Ahmadi, Bahareh Kalantar, Haluk Özener, Kieran Clancy, Atefeh Esmaeili, Ricardo Siqueira da Silva, Linda J. Beaumont, John Llewelyn, Simon Jones, Alessandro Ossola

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
64 Downloads (Pure)

Abstract

Aim: Generate fire susceptibility maps for the present and 2070, to identify the threat wildfires pose to koalas now and under future climate change. 

Location: Australia. 

Time period: Present and 2070. 

Major taxa studied: 60 main tree species browsed by koalas. 

Method: The Decision Tree machine learning algorithm was applied to generate a fire susceptibility index (a measure of the potential for a given area or region to experience wildfires) using a dataset of conditioning factors, namely: altitude, aspect, rainfall, distance from rivers, distance from roads, forest type, geology, koala presence and future dietary sources, land use-land cover (LULC), normalized difference vegetation index (NDVI), slope, soil, temperature, and wind speed. 

Results: We found a general increase in susceptibility of Australian vegetation to bushfires overall. The simulation for current conditions indicated that 39.56% of total koala habitat has a fire susceptibility rating of “very high” or “high”, increasing to 44.61% by 2070. 

Main conclusions: Wildfires will increasingly impact koala populations in the future. If this iconic and vulnerable marsupial is to be protected, conservation strategies need to be adapted to deal with this threat. It is crucial to strike a balance between ensuring that koala habitats and populations are not completely destroyed by fire while also allowing for forest rejuvenation and regeneration through periodic burns.

Original languageEnglish
Article number103331
Pages (from-to)1-12
Number of pages12
JournalEnvironmental Technology and Innovation
Volume32
Early online date14 Aug 2023
DOIs
Publication statusPublished - Nov 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Climate change
  • 60 main tree species browsed by koalas
  • Decision Tree machine learning algorithm
  • Fire

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