Habitat in flames: How climate change will affect fire risk across koala forests
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.
Other Information
Published in: Environmental Technology & Innovation
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.eti.2023.103331
Funding
Open Access funding provided by the Qatar National Library.
History
Language
- English
Publisher
ElsevierPublication Year
- 2023
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Qatar University
- College of Arts and Sciences - QU