By Jim Hone
Chapter 1 advent (pages 1–8):
Chapter 2 utilized inhabitants and group Ecology (pages 09–19):
Chapter three setting (pages 20–28):
Chapter four inhabitants Ecology of Feral Pigs (pages 29–53):
Chapter five flooring Disturbance and Feral Pigs (pages 54–70):
Chapter 6 Feral Pig inhabitants administration (pages 71–96):
Chapter 7 neighborhood Ecology (pages 97–120):
Chapter eight the longer term: administration techniques (pages 121–140):
Chapter nine Conclusions (pages 141–146):
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Extra resources for Applied Population and Community Ecology: The Case of Feral Pigs in Australia
Other stochastic modelling in Applied Population and Community Ecology 36 Queensland predicted that some foot and mouth disease outbreaks in feral pigs would establish and some would not (Doran & Laffan 2005). Similarly, modelling of feral pigs in Texas reported that if foot and mouth disease were introduced into feral pigs at four or fewer sites then epidemics in cattle herds might not always occur (Ward et al. 2007). Up to 698 cattle over an area of 166 km2 could get infected (Ward et al. 2011).
Using life-table analysis, Saunders (1993) estimated that in Kosciuszko National Park 85% of pigs die before 1 year of age; the low observed litter size in Namadgi National Park is consistent with this and suggests that most mortality occurs during the ﬁrst 3 months of the ﬁrst year of life. Note that the low survival of piglets in Namadgi is based largely on data collected before intensive pig control commenced, and hence the low observed survival was not caused by the pig control. A genetics study in south-west Western Australia suggests feral pigs have polygynous mating behaviour.
Mountain environments with associated topographic variation may shelter some species from extremes of climate change. Climate change and its effects on biodiversity may interact with environmental stressors (Steffen et al. 2009), and feral pigs are such a stressor. A broad-scale measure of climate is the Southern Oscillation Index (SOI) (Stenseth et al. 2003). Very-low (negative) SOI values are broadly associated with periods of low rainfall (drought) and high values with periods of aboveaverage rainfall in eastern Australia (Garnaut 2008).