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68<br />

graz<strong>in</strong>g locally, lead<strong>in</strong>g to a decreased <strong>fire</strong> <strong>in</strong>tensity. In turn, lower <strong>fire</strong> <strong>in</strong>tensities cause less damage to<br />

trees and thereby enhance woody vegetation. The same authors po<strong>in</strong>t out that brows<strong>in</strong>g animals can<br />

cause a trend <strong>in</strong> the opposite direction – enhanc<strong>in</strong>g the damag<strong>in</strong>g effects <strong>of</strong> <strong>fire</strong>s on trees by reduc<strong>in</strong>g<br />

woody biomass and allow<strong>in</strong>g compensatory grass growth that can support a more <strong>in</strong>tense <strong>fire</strong>, which<br />

can lead to greater damage to trees and more grass. In higher ra<strong>in</strong>fall Acacia shrublands <strong>of</strong> eastern<br />

Australia, Hodgk<strong>in</strong>son (2002) noted that over the last 120 years, where pastoralists have <strong>in</strong>creased<br />

graz<strong>in</strong>g pressure and suppressed <strong>fire</strong>s, woody plants have <strong>in</strong>creased and grassy ones have decreased.<br />

The <strong>in</strong>teractions between <strong>fire</strong>s, woody plants and grass are likely to take place at a number <strong>of</strong> scales.<br />

Us<strong>in</strong>g a system <strong>of</strong> easily moved graz<strong>in</strong>g exclosures and a program <strong>of</strong> documentation <strong>of</strong> effects<br />

may allow managers to discern changes due to herbivores that are otherwise very difficult to see<br />

(e.g. Sandell 1995). Also, the effects and significance <strong>of</strong> <strong>in</strong>teractions between <strong>fire</strong> and graz<strong>in</strong>g or<br />

brows<strong>in</strong>g regimes will depend on their components and how they vary through time. Stock<strong>in</strong>g rates<br />

and <strong>in</strong>tensity vary naturally, but can also be manipulated. The same is true <strong>of</strong> <strong>fire</strong> regimes. Local<br />

susceptibilities <strong>of</strong> trees and shrubs, periodic changes <strong>in</strong> seasonal productivity and cur<strong>in</strong>g <strong>of</strong> grasses,<br />

and variations <strong>in</strong> <strong>fire</strong> weather and behaviour set different natural contexts <strong>for</strong> the expression and<br />

significance <strong>of</strong> the <strong>in</strong>teractions mentioned. Mixes <strong>of</strong> animal species – feral, native and domestic<br />

– through time may cause different effects. A system <strong>of</strong> patch change, vary<strong>in</strong>g both spatially and<br />

temporally, may be envisaged across a landscape, but how stable this is <strong>in</strong> isolated <strong>conservation</strong><br />

reserves is an open question.<br />

Discussion and conclusion<br />

The addition <strong>of</strong> livestock to reserves, removal <strong>of</strong> charismatic feral animals (such as horses and deer<br />

from reserves), or cull<strong>in</strong>g <strong>of</strong> native animals (such as kangaroos or koalas <strong>in</strong> reserves), raises strong<br />

passions <strong>in</strong> communities <strong>of</strong> south-eastern Australia. On the other hand, removal <strong>of</strong> feral rabbits is<br />

uncontroversial. This situation occurs despite the fact that, <strong>in</strong> part, overgraz<strong>in</strong>g can be a common<br />

element <strong>in</strong> all cases.<br />

Interventions, such as add<strong>in</strong>g livestock, burn<strong>in</strong>g and mow<strong>in</strong>g can affect fuel loads, fuel structure<br />

and fuel moisture by alter<strong>in</strong>g the proportion <strong>of</strong> live and dead material. Overgraz<strong>in</strong>g can cause a shift<br />

to another system state, such as from a grassy community to a shrubby one (Janssen et al. 2004),<br />

thereby alter<strong>in</strong>g fuel conditions and <strong>fire</strong> regimes.<br />

The effects <strong>of</strong> graz<strong>in</strong>g regimes on grassland fuels and fuel species can be quite varied. Williams et al.<br />

(2006) <strong>in</strong>vestigated the slogan ‘alp<strong>in</strong>e graz<strong>in</strong>g prevents blaz<strong>in</strong>g’ after the widespread 2003 <strong>fire</strong>s <strong>in</strong><br />

Victoria. They found that ‘There was no statistically significant difference between grazed [by cattle]<br />

and ungrazed areas <strong>in</strong> the proportion <strong>of</strong> po<strong>in</strong>ts burnt’. There is no comparable data known to the<br />

author <strong>for</strong> lowland grasslands, but personal observation shows that <strong>fire</strong>s can burn across eatenout<br />

paddocks, albeit at reduced <strong>in</strong>tensity given that biomass is low and rates <strong>of</strong> spread are reduced<br />

compared with ungrazed pastures (Cheney and Sullivan 1997, p. 39). In shrubby communities <strong>of</strong> the<br />

alp<strong>in</strong>e area, Williams et al. (2006) found no reduction <strong>in</strong> the severity <strong>of</strong> the <strong>fire</strong> due to graz<strong>in</strong>g.<br />

Lunt (2005 p. 37) summarises the research to date on the effects <strong>of</strong> historic livestock graz<strong>in</strong>g on<br />

native pastures <strong>of</strong> Themeda sp., Stipa aristiglumis and Poa caespitosa (Stage 1): from these species,<br />

the trend <strong>of</strong> change is through communities <strong>of</strong> Austrodanthonia spp. and Austrostipa spp. (Stages<br />

2 and 3) to exotic species (Stages 4 and 5). Us<strong>in</strong>g this as a basis, he draws up another model that<br />

<strong>in</strong>dicates how contemporary graz<strong>in</strong>g <strong>in</strong>tensity might affect small-scale diversity (p. 27). This model<br />

suggests that if the grassland is <strong>in</strong> Stage 1, <strong>in</strong>creas<strong>in</strong>g graz<strong>in</strong>g <strong>in</strong>tensity will reduce diversity; if <strong>in</strong><br />

Stage 5, decreas<strong>in</strong>g graz<strong>in</strong>g <strong>in</strong>tensity will either leave diversity the same or <strong>in</strong>crease it; while, if <strong>in</strong><br />

Stage 3, changes <strong>in</strong> graz<strong>in</strong>g <strong>in</strong>tensity may affect diversity up or down, with decreases and <strong>in</strong>creases <strong>in</strong><br />

graz<strong>in</strong>g <strong>in</strong>tensity respectively.<br />

Lunt’s (2005) model is useful as a basis <strong>for</strong> discussion. It is necessarily quite simple, relies only on graz<strong>in</strong>g<br />

<strong>in</strong>tensity and does not <strong>in</strong>clude the effects <strong>of</strong> different types <strong>of</strong> animals, different <strong>in</strong>tervals between<br />

graz<strong>in</strong>g and vary<strong>in</strong>g seasonality <strong>of</strong> graz<strong>in</strong>g, together with the length <strong>of</strong> time that the regime has been<br />

imposed. The challenge <strong>for</strong> managers contemplat<strong>in</strong>g this model is to work out where their landscapes,<br />

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

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