Implications of changing climate and atmospheric CO2 for grassland fire in south-east Australia: insights using the GRAZPLAN grassland simulation model
Karen J. King A D , Geoffrey J. Cary A , A. Malcolm Gill A C and Andrew D. Moore B
+ Author Affiliations
- Author Affiliations
A The Fenner School of Environment and Society, the Australian National University, Acton, ACT 0200, Australia.
B CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2601, Australia.
C Bushfire Cooperative Research Centre, Albert Street, East Melbourne, Vic. 3002, Australia.
D Corresponding author. Email: karen.king@anu.edu.au
International Journal of Wildland Fire 21(6) 695-708 https://doi.org/10.1071/WF11103
Submitted: 27 July 2011 Accepted: 30 November 2011 Published: 18 June 2012
Abstract
Climate and fuel characteristics influence fire regimes, and both need to be realistically considered in bushfire projections. Previous south-eastern Australian studies have assumed maximum grassland fuel curing (100%) and average fuel load (4.5 t ha–1). This study is the first to include daily fuel curing and load dynamics, derived from the agricultural pasture growth model GRAZPLAN, in projections of Grassland Fire Danger Index (GFDI) and potential fire-line intensity for future climate–CO2 combinations, and for alternate grasslands in the Canberra, Sydney and Melbourne regions. Climate-change projections were characterised by warmer, drier conditions, with atmospheric CO2 concentrations increasing for longer future timeframes. Projected shifts in GFDI and potential fire-line intensity arising from future climate–CO2 combinations were small compared with initial difference arising from using realistic GRAZPLAN-derived curing and fuel load values (compared with constant curing and fuel load) for grass dynamics, and this has important implications for the interpretation of earlier studies. Nevertheless, future grass curing and GFDI generally increased and fuel load generally decreased. The net effect on modelled future fire-line intensity was minimal because higher fire danger, and hence spread rate, was often largely compensated for by lower fuel load across the range of modelled grassland types and locations.
Additional keywords: curing, fire-line intensity, fuel load, GFDI.
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