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Litter fuel load (t/ha)<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

<strong>Underp<strong>in</strong>n<strong>in</strong>gs</strong> <strong>of</strong> <strong>fire</strong> <strong>management</strong> <strong>for</strong> <strong>biodiversity</strong> <strong>conservation</strong> <strong>in</strong> reserves<br />

0<br />

0 5 10 15 20<br />

Time s<strong>in</strong>ce <strong>fire</strong> (years)<br />

No residue<br />

14t/ha residue<br />

Figure 3.1 F<strong>in</strong>e-litter fuel load as a function <strong>of</strong> time s<strong>in</strong>ce <strong>fire</strong> <strong>in</strong> E. marg<strong>in</strong>ata (Jarrah) <strong>for</strong>est (parameters with zero remnant fuel<br />

from Walker 1981 us<strong>in</strong>g data <strong>of</strong> G. Peet). The complete removal <strong>of</strong> fuel by prescribed <strong>fire</strong> (Equation 3.1 with W max as 18 t ha -1 ,<br />

a as 1 and k as 0.2) is contrasted with the illustrative circumstances <strong>in</strong> which 14 t ha -1 rema<strong>in</strong>s (equation as previously, except a<br />

is 0.222) – see the <strong>in</strong>tercept on the Y-axis.<br />

In Figure 3.1, the classic curve <strong>of</strong> Olson (1963) is contrasted with the situation <strong>in</strong> which some fuel<br />

persists, or is generated, immediately follow<strong>in</strong>g the <strong>fire</strong> (O’Connell 1987). If large quantities <strong>of</strong> fuel<br />

rema<strong>in</strong>, then the effectiveness <strong>of</strong> prescribed burn<strong>in</strong>g <strong>for</strong> fuel reduction would be questioned. For<br />

example, <strong>in</strong> Figure 3.1, a hypothetical illustration only, an average <strong>of</strong> 14 t ha -1 rema<strong>in</strong>s. This may not<br />

be considered to be a satisfactory result <strong>for</strong> fuel reduction per se. In practice, k varies considerably:<br />

Raison et al. (1983) found values between 0.11 and 0.31; Walker (1981) found values from 0.2 to<br />

0.43; and Cary and Gold<strong>in</strong>g (2002) found k to vary from 0.03 to 1.<br />

The <strong>for</strong>m <strong>of</strong> the graphs given by Equations 3.1 and 3.2 <strong>for</strong> fuel measures aga<strong>in</strong>st time s<strong>in</strong>ce <strong>fire</strong><br />

can be applied to all components <strong>of</strong> the fuel array <strong>in</strong> a <strong>for</strong>est, albeit with different parameters (see<br />

Appendix 2 <strong>in</strong> Gould et al. 2007). However, some <strong>of</strong> these components are likely to be unaffected by<br />

prescribed <strong>fire</strong> and variously affected by different <strong>in</strong>tensities <strong>of</strong> unplanned <strong>fire</strong>. For example, Gould et<br />

al. (2007, p. 132) assumed – <strong>in</strong> develop<strong>in</strong>g a <strong>fire</strong>brand model – that ‘elevated and bark fuel are not<br />

consumed at <strong>fire</strong> <strong>in</strong>tensities less than 1000 kW m -1 ’. The effectiveness <strong>of</strong> prescribed burn<strong>in</strong>g <strong>for</strong> the<br />

modification <strong>of</strong> fuels only, is considered further <strong>in</strong> the next section.<br />

Effectiveness <strong>of</strong> prescribed burn<strong>in</strong>g <strong>for</strong> fuel modification<br />

Prescribed burn<strong>in</strong>g may be undertaken <strong>for</strong> ecological or other purposes, but more <strong>of</strong>ten it is <strong>for</strong> the<br />

purpose <strong>of</strong> fuel reduction and modification (Text Box 3.1). In <strong>for</strong>ests, where the practice has a long<br />

history (Gill and Moore 1997), the aims are stated <strong>in</strong> various ways, but Moore and Shields (1996) are<br />

more comprehensive than most. They state that the aims <strong>of</strong> fuel <strong>management</strong> – hazard reduction<br />

burn<strong>in</strong>g – are to:<br />

• Reduce the total weight <strong>of</strong> fuels to reduce the rate <strong>of</strong> spread and <strong>in</strong>tensity <strong>of</strong> a <strong>fire</strong><br />

• Reduce height <strong>of</strong> the fuel bed and there<strong>for</strong>e flame height<br />

• Remove <strong>fire</strong>-brand material, pr<strong>in</strong>cipally fibrous bark, and there<strong>for</strong>e the chance <strong>of</strong> spot <strong>fire</strong>s.<br />

As a result, <strong>fire</strong> suppression capability is <strong>in</strong>creased, the impact <strong>of</strong> <strong>fire</strong> on <strong>for</strong>est assets is reduced and<br />

the safety <strong>of</strong> <strong>fire</strong>fighters <strong>in</strong>creased (Moore and Shields 1996).<br />

An immediate effect <strong>of</strong> fuel reduction by burn<strong>in</strong>g <strong>in</strong> State Forests <strong>of</strong> New South Wales was to reduce<br />

f<strong>in</strong>e-fuel weight up to 70% over 30 to 60% <strong>of</strong> the gross area be<strong>in</strong>g treated (Moore and Shields 1996).<br />

For strategic corridors and fuel <strong>management</strong> over broad areas <strong>of</strong> <strong>for</strong>est, burn<strong>in</strong>g up to 60% <strong>of</strong> the<br />

area treated was desired (Moore and Shields 1966). In asset-protection zones <strong>in</strong> Victoria, the aim <strong>for</strong><br />

the percentage <strong>of</strong> area to be burnt is 90% (McDonald 1999). In strategic fuel-reduced corridor zones<br />

it is 80% and <strong>in</strong> the broad-area fuel reduced mosaic zone it is 50% (McDonald 1999). In Tasmanian<br />

Buttongrass (Gymnoschoenus sphaerocephalus) the figure is >70% (Marsden-Smedley 1993). Thus not<br />

all the fuel is burnt over a chosen area, even <strong>for</strong> asset-protection burn<strong>in</strong>g.<br />

Fire and adaptive <strong>management</strong> 47

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