Full length articleRedistribution and emission of forest carbon by planned burning in Eucalyptus obliqua (L. Hérit.) forest of south-eastern Australia
Introduction
Planned burning to reduce forest fuels and the risk of high intensity uncontrolled fire is practiced by fire management agencies around the world, especially in seasonally dry forests (e.g. Agee and Skinner, 2005, McCaw, 2013). As a crucially important response to reducing the emergence of high impact mega-fires (Attiwill and Adams, 2013, Williams, 2013), agencies are interested in the impact of planned fire on other environmental values such as carbon storage capacity, water quality and biodiversity.
A warming trend and increasing occurrence of weather extremes may already be contributing to an increase in wildfires in Australia, especially in southern Eucalyptus forests. During the decade 2003–2012 over 40% or about 4 M ha of the total forest area in the state of Victoria, Australia, has been burnt through in wildfires and the control line burning associated with them. In response to what seems like an ever increasing wildfire threat, forest managers now seek to maintain an annual controlled burn area equivalent to 5% of the treatable forest area in the state of Victoria – an area of about 300,000 ha and a threefold increase on recent annual burn areas (VBRC, 2010a). Because forest fuel management is a key tool in reducing fire risk (Penman et al., 2007), it is increasingly important to understand the impact of planned fire on the forest carbon cycle and on C emission to the atmosphere.
To account for forest fire emissions, it is crucial to have an accurate estimation of all categories of fuels consumed during fire. Studies of fuel beds have centred on combustion of fine fuels such as litter and near-surface vegetation, as these contribute most to fire behaviour (Keeley, 2009). However, the contribution of other fuels such as coarse woody debris to C emission is unknown in southern Eucalyptus forests. This is a gap in knowledge of fire effects in Eucalyptus forests as international fuel consumption models, such as CONSUME 3.0 or FOFEM 6.0, clearly show the increasing consumption of woody fuels as fire intensity increases. For southern Eucalyptus forests of Australia, our understanding of the quantity of these fuel types and their consumption across a range of fire intensities is poor. Furthermore, our knowledge of forest biomass and carbon stocks is mostly centred on overstorey trees and soil (e.g. Grierson et al., 1992), with few if any comprehensive assessments that include small trees, shrubs and forest floor fine and coarse fuels, where fire impact on C stock is likely greatest.
To address this lack of detailed knowledge of forest carbon loses in southern temperate Eucalyptus forests of Australia we evaluated the effects of planned burning on forest C pools in Eucalyptus obliqua lowland forests of southern Victoria. The first objective of the study was to quantify the amount of carbon and its distribution among C pools. How planned burning alters the mass of C in each of these pools formed our second objective, and determining the degree of uncertainty in estimates of the different forest carbon pools was our third objective. Finally we aimed to use the change in mass of forest carbon pools to estimate emissions of the C-containing greenhouse gases carbon dioxide (CO2), carbon monoxide (CO) and methane (CH4) from planned burning in these forests.
Overall we aimed to establish baseline knowledge of the distribution of forest C in southern Eucalyptus forests and to identify ways to improve sampling methods to increase the statistical power of pre- and post-burn comparisons for important fire-impacted components. Ultimately we envisage this type of forest carbon and fire data informing landscape level models of the emissions impacts of fire over large and varied areas of forest.
Section snippets
Approach
Our method for calculating fire-induced C redistribution and emissions is based on estimating the mass of forest components before and immediately after a planned burn. To derive emission to the atmosphere we determined the redistribution of forest components accounted as a mass loss or a mass gain from pre- to post-fire.
Study sites
Three E. obliqua dominated forest sites in the Otway Ranges of south-eastern Australia were selected for measurements (Table 1 and Fig. 1). At each of these three forest sites,
Pre-fire carbon
Pre-fire aboveground carbon density in these E. obliqua foothill forests averaged 165 ± 14 Mg C ha−1 (mean ± s.e.), with overstorey trees accounting for 70% of the total aboveground carbon (118 ± 11, Fig. 2). About 15% of total aboveground carbon was stored in deadwood with twice more carbon stored in CWD (14.7 ± 2.2 Mg C ha−1) than in dead standing trees (9.2 ± 4.0 Mg C ha−1). Understorey accounted for 9% of aboveground carbon (15.1 ± 2.2 Mg C ha−1), while litter (4%; 6.9 ± 0.8 Mg C ha−1) and ground vegetation
Discussion
These temperate lowland E. obliqua forests sequester around 244 Mg C ha−1 to 30 cm soil depth (excluding woody roots) and fuel reduction burning transfers about 3% of this C (6.7 Mg C ha−1) to the atmosphere, while a further 3% is redistributed within the forest, mostly as charred and fragmented organic matter deposited on the soil surface. About 65% of the carbon emitted to the atmosphere is likely derived from fine fuels on the ground with further contributions from attached bark, understorey
Conclusion
Prescribed fire in productive E. obliqua forest of southern Australia emitted above 6 Mg C ha−1 with about half contributed from fine fuels, whilst having negligible impact on the major forest carbon stores held in overstorey trees.
Our estimates of fire emission show that low intensity planned fire impacts mainly surface fine fuels, with coarse woody debris and understorey contributing relatively less to emitted C. Nonetheless, even a contribution to 30% of C emissions is not trivial and points
Acknowledgements
Liubov Volkova acknowledges funding provided by Bushfire CRC. Authors acknowledge DSE Otway District, in particular Jenny Shaw and Peter Driscoll. We thank Simon Murphy for help during field measurements and his contribution to the design of sampling plot.
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