S. 21 Interaction PDF
S. 21 Interaction PDF
Prepared by: Robley, A1., Reddiex, B1., Arthur T2., Pech R2., and Forsyth, D1.,
Information contained in this publication may be copied or reproduced for study, research, information or
educational purposes, subject to inclusion of an acknowledgment of the source.
This report should be cited as: Robley, A., Reddiex, B., Arthur T., Pech R., and Forsyth, D., (2004).
Interactions between feral cats, foxes, native carnivores, and rabbits in Australia. Arthur Rylah Institute for
Environmental Research, Department of Sustainability and Environment, Melbourne.
The views and opinions expressed in this publication are those of the authors and do not necessarily reflect
those of the Commonwealth Government or the Minister for the Environment and Heritage.
This project (ID number: 40593) was funded by the Australian Government Department of the Environment
and Heritage through the national threat abatement component of the Natural Heritage Trust.
Table of contents
1 BACKGROUND ...................................................................................................................................................... 4
2 OBJECTIVES .......................................................................................................................................................... 5
3 INTRODUCTION.................................................................................................................................................... 6
3.1 INFORMATION USED ............................................................................................................................................... 7
3.2 BACKGROUND TO PREDATOR AND PREDATOR–PREY INTERACTIONS..................................................................... 7
4 LITERATURE REVIEW...................................................................................................................................... 10
4.1 CHANGE IN ABUNDANCE OF PREDATORS ............................................................................................................. 10
4.1.1 Control of both feral cats and foxes (implications for primary and alternative prey)................................ 10
4.1.2 Control of foxes only (implications for primary and alternative prey) ....................................................... 13
4.1.3 Control of feral cats only (implications for primary and alternative prey) ................................................ 15
Summary .................................................................................................................................................................. 17
4.2 INTERACTIONS BETWEEN FERAL CATS AND FOXES ............................................................................................. 18
Summary .................................................................................................................................................................. 22
4.3 CHANGE IN ABUNDANCE OF PRIMARY PREY (RABBITS) ...................................................................................... 23
4.3.1 Effects of changes in abundance of primary prey on feral cat abundance and impacts on native prey ..... 23
4.3.2 Effects of changes in abundance of primary prey on feral cat diet and impacts on native prey................. 25
4.3.3 Effects of changes in abundance of primary prey on fox abundance and impacts on native species ......... 26
4.3.4 Effects of changes in abundance of primary prey on fox diet and impacts on native prey ......................... 27
Summary .................................................................................................................................................................. 28
4.4 INTERACTIONS BETWEEN NATIVE AND INTRODUCED PREDATORS, AND RABBITS ............................................... 32
4.4.1 Canids ......................................................................................................................................................... 32
4.4.2 Dasyurids.................................................................................................................................................... 32
4.4.3 Raptors........................................................................................................................................................ 33
4.4.4 Varanids...................................................................................................................................................... 34
Summary .................................................................................................................................................................. 34
5 INTERACTIVE MODELS OF PEST POPULATION DYNAMICS ............................................................... 35
Summary .................................................................................................................................................................. 49
6 IMPLICATIONS FOR INTEGRATED CONTROL ......................................................................................... 52
9 REFERENCES....................................................................................................................................................... 57
10 ACKNOWLEDGMENTS ..................................................................................................................................... 68
APPENDIX............................................................................................................................................................. 69
Table 1. Examples of studies in Australia that have experimentally assessed the impact of predation on
rabbit population densities through manipulations of predator densities. T = Treatment, NT =
Non-treatment sites. .........................................................................................................................16
Table 2. Examples of comparative feral cat and fox diet studies in areas where rabbits are present. ...........22
Table 3. Examples of studies that have assessed the impact of changes in rabbit population densities
on predators and alternative prey. ...................................................................................................30
Through the Natural Heritage Trust, the fox control is inconsistent between studies and
Department of the Environment and Heritage may be confounded by inadequate monitoring
(DEH) is working to develop and implement techniques and behavioural changes.
coordinated actions to reduce damage to the
A potential cost of predator control is an increase
natural environment and primary production
in rabbit abundance, which may cause increased
caused by feral animals.
competition for food and other resources with
Predation by foxes (Vulpes vulpes) and feral cats native herbivores. Several studies suggest that
(Felis catus) have been identified as known or predators can exert prolonged regulating pressure
perceived threats to 34 and 38 native species, on rabbits at low densities and can impede
respectively, in threat abatement plans provided recovery of rabbit populations. Particularly when
for under the Environment Protection and populations have already been significantly
Biodiversity Conservation Act 1999 (EPBC Act). reduced through external factors such as disease,
Land degradation and competition with native drought, high or low rainfall, floods or warren
species by European rabbits (Oryctolagus ripping. However, predator manipulation studies
cuniculus) is also listed as a key threatening over a wide range of habitats have provided
process under the EPBC Act. inconsistent evidence of predator regulation of
rabbits. Predation appears to play an important
The aim of this report is to review the evidence of
role in regulating rabbit populations in arid and
the interactions between these three pest species,
semi-arid systems under certain conditions (e.g.
their control and the impact they have on
after drought has reduced rabbit populations), but
Australian native species. The objectives of this
has weaker effects in more temperate
report are:
environments or when environmental conditions
1. To determine the nature of interactions improve and rabbits escape regulation. It is
between feral cats and foxes (competition important to note that many of the studies that
and/or predation), especially in relation to have shaped our understanding of population
control of either or both species, and the regulation of rabbits in Australia were undertaken
associated impacts on native species and prior to the escape of Rabbit Haemorrhagic
ecological communities (especially those disease (RHD) in Australia. The potential
listed as threatened under the EPBC Act), regulatory effect of RHD on rabbit populations and
and feral rabbit populations within Australian the effect this could have on rabbit–predator
habitats/regions. interactions is largely unknown. The impact of
rabbits on flora and soils is well documented, but
2. To determine the implications of feral rabbit the impact on native mammal species is poorly
control to feral cat, fox and native prey understood.
populations, and the importance of rabbits for
maintaining high feral cat and fox numbers The impact of changes in predators and their
within Australian habitats/regions. primary prey on native mammal species has been
the focus of few experimental studies. Studies
3. To determine the interactions between feral
that have discussed the role of foxes and feral
cats, foxes and native carnivores and relative cats in regulating rabbit populations have largely
significance of competition and predation by not investigated the benefits or costs of predator
feral cats and foxes to these native species.
control to native species. Other studies that have
Based on the degree of overlap in distribution and investigated the impact of fox and cat control on
diet of feral cats and foxes, there is a potential for native mammal species have reported benefits
competitive interactions. There is circumstantial from pest control; however, there are many
evidence of foxes excluding feral cats from food acknowledged limitations of these studies. While
resources, and of foxes killing feral cats. No several studies have reported that fox removal
studies have experimentally demonstrated an has benefited a range of native species, many
increase in the rate of predation by feral cats on have not assessed pre-control population
native species following a reduction in fox parameters, do not have control sites, are not
abundance in Australia. Several studies have replicated, and have not attempted to test
described increases in cat abundance following alternative hypotheses to predation, such as
reductions in fox numbers resulting from control competition by herbivores. Also there are several
operations. However, the evidence for an notable exceptions to a general response to fox
increase in abundance in cat abundance following control (e.g. mixed responses of small mammal
C A B C
B
1 1
2
2 3
3
4
Figure 2. Total response curves for (a) type II and (b) type III responses (from Sinclair and Krebs 2003).
The instantaneous rates of change of the prey population experiencing different levels of (a) Type II and (b) Type III
predation. Point A represents a stable point from regulation by predators, point C a stable point due to regulation from
food with predation not regulating, and point B is an unstable threshold. Curves 1-4 represent different intensities of
predation: 1, Iowest predation level; 4, highest predation level.
Recent theoretical developments have highlighted Non-manipulative studies have demonstrated that
some of the limitations of functional and numerical predation plays a role in limiting primary prey
responses in understanding predator–prey populations, but they cannot be used to
dynamics (Alonzo 2002). These developments unequivocally assess whether predation is a
suggest that prey vulnerability can play an regulating factor because of the potential
important role in how predators maximise their confounding effect of other factors. Sinclair (1989)
foraging efficiency by selecting prey based on suggested that predator regulation of prey can be
poor anti-predator behaviour (Quinn and tested by removing predators, and then, after the
Cresswell 2004). prey has increased permitting predators to
reinvade. If predators are regulating prey
Prey species weigh up the cost of an activity
numbers, the return of predators should result in
against the risks of predation. The impacts of
prey populations returning to pre-predator removal
these decisions manifest in a reduced amount of
densities (assuming that all other factors are
time spent foraging, reducing the food intake of a
equal). Pech et al. (1995) and Krebs et al. (2001)
prey species, which in turn can act to reduce
described the possible manipulations of prey,
health and fecundity. For example, rodents and
which include changes in prey density through
gerbils reduced foraging and shift foraging activity
reintroduction’s, altering food supply or the
when the risk of predation was high (Brown 1988;
abundance of alternative prey species and
Kolter et al. 1991; Hughes et al. 1994) and
predators.
Antechinus species in Australia displayed different
foraging effort under risk of predation (Stokes et In addition to interactions between predators and
al. 2004; Arthur 2001; Arthur and Pech 2003). prey, predators that share food resources can
Arthur et al. (2003) showed that populations of compete, either via intraspecific competition or
house mice reproduced earlier and reached intraguild predation. Changes to the composition
higher densities in locations where the risk of of the predator assemblage can result in altered
predation was low compared to areas where it rates of predation on prey species (see section 4
was high. for further details).
We need to understand the types of interactions In complex systems with multiple predators and a
that currently exist. This includes the types of range of prey species, community food web
response predators’ experience from changes in models may prove to be more insightful (Chase
prey abundance that might change the abundance 2003; Navarrete and Castilla 2003). These are
of predators or alter the rates of predation on areas of active research and development that
native species. Several authors have suggested may provide increased understanding of the
that the best approach to determine which interaction between predators, prey and their
response describes the interaction between management in the future; however, they are not
predators and their prey is through perturbation discussed further in this report.
experiments (Sinclair 1989; Pech et al. 1995;
Cappuccino and Harrison 1996; Korpimaki and
Krebs 1996; Sinclair 1996; Krebs et al. 2001).
Study Location Study area Habitat Duration of Experimental Techniques T & NT Replication Key rabbit population density Factors other
study treatment used sites changes than predation
(years) considered
b
Newsome New South 3 sites, Semi-arid 2 Fox and cat Rabbit and Yes n=1–2 Increased 11.7 times on T sites Drought
2
et al. (1989) Wales 50–180 km removal predator compared with 2.8 times on NT
per site abundance sites Food supply
b
Pech et al. New South 3 sites, Semi-arid 5 Fox and cat Rabbit and Yes n=1–2 T site populations remained Drought
2 a
(1992) Wales 50–180 km removal , followed predator higher than the NT sites, despite Myxomatosis
per site by no predator abundance, reintroduction of predators
removal Predator diet
Banks et al. Canberra 4 sites, 10 Sub-alpine 2 Fox removal Rabbit and Yes n=2 T sites increased 6.5 and 12 None
2
(1998) km Forest predator times compared to 2 times and a
per site abundance decline on NT sites
Banks (2000) Canberra 4 sites, 10 Sub-alpine 1½ Allowed foxes to Rabbit and Yes n=2 One T site declined and None
2
km Forest re-invade sites predator remained low following predator
per site abundance reinvasion. Other T site
declined, then increased by 23%
Risbey (2000) Heirisson 3 sites, 120 - Semi-arid 5 Fox and cat Predator Yes No Two T sites increased while no Rainfall
2
Prong >200 km removal abundance change on NT site.
a b
Predator removal was carried out by Newsome et al. (1989) Level of replication changed during the study.
(b)
(c)
## #
# # # #
###
# #
#
#
##
## ##
# ## # # #
#
# # # #
#
# #
# # #
# # ##
#
###
(b)
# 300000 - 800000
# 75000 - 300000
# 30000 - 75000
# 10000 - 30000
#
1000 - 1000
#
0 0
- 1 000
#
#
#
#
#
# ## #
###
#
#
# # # ##
#
# #
#
# # ## ##
#
# ##
#
# # # # # # #
# #
# ## ## # #
###
#
#
# ## #
####### ## ## ###
#
#
#
# #
# #
## #
#
#
# #
#
### # ## #
## # #
#
#
# ## #
##
# #
### # ##
#
#
## # # # ## # #
##
## ### # # #
## # #
#
####
########## #
#
###
#
#
#
###
# #
# ###
#
##
# ##
# #
## # # # # # #
# # #######
############
# # # # # # #######
## # # #
#
#
#
## # ##
#
## #
# #
## ## # # #
# ###### # ##
# #
#
#
# #
#
#
# # ## # #
# # #### ## # ##
### # # # # ### # #
# #
#
#
###
## # # # ## # # ##
#
# ##
##
## #
#
###
Figure 4. Location and extent of a) feral cat (n =96) and b) fox control (n = 777) operations in
Australia.
(Reddiex et al. 2004). Area of control operations (ha) not shown to scale.
Study Location Stomach Technique Number of Rabbit in fox Number of Rabbit in cat
or scat used to fox samples diet (% cat samples diet (%
assess diet occurrence) occurrence)
A large overlap in resource use, home range and measure the actual number of individuals in a
diet between feral cats and foxes suggested a high population or the number within a given area, as
potential for competition. In both areas where these measurements can be labour intensive and
foxes were controlled there were significant expensive, and in the majority of ecological
behavioural changes, including increased use of investigations unnecessary (Krebs 1999). Instead,
carrion and increased use of grassland habitat. indices of density that are correlated with absolute
Molsher et al. (1999) suggested that these density are useful (Caughley 1977). Unfortunately,
behavioural changes indicated interspecific the current techniques available (bait take,
competition; however, as acknowledged by the spotlight counts, sand plot activity and scat counts)
author, there was no increase in cat abundance are generally imprecise, and/or have restrictions on
over the 2.5 years following the control of foxes, their application. The relationship between
therefore mesopredator release cannot be changes in the index and actual abundance
demonstrated statistically. Interference remains untested. There is a need for further
competition was also recorded, with three radio- development of more reliable techniques to
collared feral cats believed to be killed by foxes, accurately assess changes in the abundance of
and foxes were observed acting aggressively predator species in Australia.
towards feral cats. However, no cat remains were
found in any of 255 fox stomachs or 343 fox scats, Summary
suggesting that if intraguild predation did occur it
was relatively rare. Feral cats and foxes overlap in distribution and
diet, and there is circumstantial evidence of
A major limitation of many of the above mentioned interspecific competition, where foxes may
studies is that reported increases in cat abundance competitively exclude feral cats from food
following fox control may in fact be an artefact of resources, and of intraguild predation where foxes
the census methods rather than an actual increase may prey upon feral cats.
in cat abundance. Indices of cat abundance using
track counts may increase following a reduction in Foxes, but not feral cats have been controlled over
foxes; however, this may be related to changes in large areas, and there is a possibility that impacts
cat activity patterns not changes in abundance on shared prey can increase following fox control if
(Molsher 1999). While spotlighting is often feral cat numbers increase after fox control.
undertaken over an inappropriate transect length Several studies have described increases in cat
for predators and/or is assessed at an appropriate abundance following reductions in fox numbers
scale for rabbits, but not predators. resulting from control operations. However, the
Monitoring changes in abundance of introduced evidence for a numerical response in cat
predators can be expensive and problematic as abundance following fox control is inconsistent
these species are often cryptic, elusive and occur between studies and may be confounded by
in low densities. It is often not necessary to inadequate survey techniques and behavioural
changes that may influence cat activity.
Study 21: Hattah-Kulkyne National Park Declines in spotlight counts of foxes were reported
following the arrival of RHD at four (Nullarbor
Cavanagh (1998) and Sandell (1999) assessed Plains, Muncoonie, Hattah-Kulkyne and
changes in feral cat diet pre- and post-RHD at Tablelands) of the nine national RHD monitoring
Hattah-Kulkyne National Park. Four cat stomachs sites (Sandell and Start 1999; an additional site
were collected pre-RHD and eleven were collected was located in Tasmania where foxes were
post-RHD. Feral cats consumed mammals, absent)(Table 3). At two sites (Nullarbor and
invertebrates, reptiles, and birds, with rabbits being Flinders Ranges subsite) the reports of decline
the staple prey item. The authors acknowledged were only anecdotal. Two sites reported no long-
that sample sizes were small but suggested that term change in fox abundance (Lake Burrendong
post-RHD feral cats shifted their diet from rabbits and Northern Territory aggregated sites) and one
to birds (50% by occurrence and 16% by volume site was not assessed due to low fox densities
pre-RHD to 67% and 88% post-RHD). (Coorong). As mentioned earlier, these findings
Study 22: Tanami Desert need to be interpreted with caution.
Paltridge (2002) investigated the diet of feral cats, Study 16: Roxby Downs
foxes and dingoes in relation to prey availability at At Roxby Downs, high fox numbers coincided with
two separate sites in the Tanami Desert, Northern peaks in rabbit abundance. Fox densities peaked
Territory, between 1995 and 1997. Rabbits were at >3 km-2 one year after rabbit densities peaked at
absent from this study area. Monitoring focused on ~375 km-2, but declined to <0.5 km-1 several
changes in abundance of invertebrates, reptiles, months after rabbit populations crashed following
and small mammals via pitfall and Elliott trapping 3 the arrival of RHD. Foxes were rarely seen for the
times per year. Bird species were monitored along two years of this study (Read and Bowen 2001).
1 km walked transects using distance sampling
methods. Macropods, goannas and bilbies were Study 15: Flinders Rangers National Park
monitored by track counts along 10 km track In the Flinders Ranges National Park, Holden and
transects. The diet of predators was assessed Mutze (2002) reported that fox numbers were
(frequency of occurrence) through analysis of scats reduced by 96% (54 per 100 spotlight km to 7.8
collected along the track transects and from active spotlight km) following a fox-baiting program. After
searches. the arrival of RHD fox abundance declined to 1.6
In the absence of rabbits, feral cats relied on per 100 spotlight km with a lag of about 6 months.
reptiles as a summer staple with an increased The authors suggested that the reduction in rabbit
reliance on birds during winter when reptiles where numbers was partially responsible for the
less active. In most cases the relative abundance additional decline. The authors noted that a critical
of prey items in the diet of feral cats followed that impact on fox numbers was the lack of rabbits
of their relative availability. The consumption of during the rabbit-breeding season; this resulted in
small mammals (both sites) and skinks (one site) no peak in rabbit numbers, which normally
was strongly correlated with their field abundance.
Pech et al. 1992 Yathong, NSW Semi-arid 30 Pre-control Spotlight counts Y Y Increase in # rabbits Not monitored
Holden and Mutze Flinders Ranges NP, SA 400 each Arid 36 RHD Spotlight counts P&P n = 10 Decline in feral cats Monitored
2002
Read and Bowen Roxby Downs, SA 20 km Arid 10 yrs RHD Spotlight counts N Decline in feral cats
2001 transects P&P
2
Molsher et al. 1999 Lake Burrendong, NSW 90 km Temperate 3 yrs RHD Spotlight counts N Decline in feral cats Monitored
P&P
30 km Small Mammal
transects Trapping
Active searches
Edwards et al. 2002a Multiple sites, NT 10 km Arid 2.5 yrs RHD Spotlight counts n=4 No Decline in feral
transects P&P cats
2
Edwards et al. 2002b Multiple sites, NT 20 – 140 km Arid 2.5 yrs RHD / Spotlight counts Y n=4 Decline in feral cats
Warren (Warren
ripping Track Counts ripping
Small Mammal only)
Trapping
Sandell and Start Nullarbor Plain, WA 25 km transect Arid 16 RHD Spotlight counts N N Decline in feral cats Monitored
1999 and foxes
21 km transect
Central Australia sites 400 each Arid 36 RHD Spotlight counts P&P n=4 Decline in foxes but Monitored
not in cats
Muncoonie Lake, QLD 1050 Arid 24 RHD Spotlight counts N N Decline in foxes, not Monitored
in feral cats
A
Balcanoona / Wertaloon, 400 each Arid 24 RHD Spotlight counts N n=4 Decline in foxes and Monitored
SA feral cats
Hattah, VIC ~700 each Semi-arid 24 - 84 RHD Spotlight counts P&P n=6 Decline in foxes, not Monitored
in feral cats
P&P = Pre and Post treatment monitoring, A = Anecdotal, NA = not assessed due to low numbers
Study Location (# sites) Study Area Habitat Duration Treatment Technique T & NT Replication Key Changes in Changes in
(ha) (months) Used Sites population alternative prey
Yes / No
Cavanagh 1998 & Hattah, VIC ~700 each Semi-arid 24–84 RHD Spotlight counts P&P n=6 Cat shift in diet Monitored
Sandell 1999 from rabbit to birds
Diet Study Freq. Occur/vol.
P&P = Pre and Post treatment monitoring, A = Anecdotal, NA = not assessed due to low numbers
Over the past 30 years, the diet of wild dogs has The distribution of wild dogs and the spotted-tailed
been extensively studied. While over 170 species (Dasyurus maculatus), western (Dasyurus
have been identified (Corbett 1995), 80% of the geoffroii), and northern quoll (Dasyurus hallucatus)
diet of dingoes comprised only 10 species. These overlap, but the nature of any interactions between
were: red kangaroos (Macropus rufus), rabbit, wild dog and quoll species is not understood.
swamp wallaby (Wallabia bicolor), cattle, dusky rat
(Rattus colletti), magpie goose (Anseranas 4.4.2 Dasyurids
semipalmata), common brushtail possum long-
haired rat (Rattus villosismus), agile wallaby
(Macropus agilis) and common wombat (Vombatus 4.4.2.1 Quolls
ursinus) (Corbett 1995). No studies have investigated the interactions of
Mitchell (2003) studied the dietary and spatial any of the quoll species with foxes, feral cats or
overlap of wild dogs and foxes in the Greater Blue changes in primary prey abundance. This is
Mountains. He examined scats collected from 10 despite the fact that at least two of the four species
sites in autumn and winter 2002 (a minimum of 25 of quoll kill rabbits when available (Belcher 1995).
scats were collected for each species from each Quolls are smaller than both feral cats and foxes,
site). Mitchell (2003) also undertook a meta- with the spotted-tailed quoll, the largest quoll
analysis of 19 previous studies from eucalypt species ranging from 1.5 to 4 kg. The eastern quoll
woodland/forest areas that compared fox and wild (Dasyurus viverrinus) ranges from 0.8 to 1.3 kg,
dog diets. Mitchell concludes that the diets of foxes the northern quoll ranges from 0.5 to 0.8 kg and
and wild dogs showed a high degree of overlap, the western quoll (or chuditch) ranges form 0.8 to
and suggested that this was evidence for potential 1.3 kg. In comparison, adult red foxes weigh
competition. This author also found that at a fine between 4.5 and 8.3 kg (Coman 1983), and adult
scale there was some indication of temporal feral cats have been reported to weigh as much as
avoidance, but that at a landscape scale foxes and 6.2 kg (Jones 1983).
wild dogs co-existed.
Potential interactions between quoll species and
Given the potential for dietary overlap and the introduced predators could arise through
overlap in distribution of all three predators, there interspecific competition (e.g. exclusion via
is potential for wild dogs to suppress, either aggressive competition) and/or intraguild predation
through competition or direct predation, (e.g. direct predation). Given the overlap in diet
populations of feral cats and/or foxes (Jarman (see below) and size differences: competition or
1986; Robertshaw and Harden 1985; Thompson predation remains an untested possibility. It is also
1992; Corbett 1995; Fleming et al. 2001). possible that with a reduction in feral cats and/or
However, this has yet to be confirmed foxes, quoll species may increase in abundance
experimentally. (i.e. mesopredator release; see section 3.2).
On the Nullarbor Plain, Western Australia, foxes
and wild dogs were reported to be able to co-exist
because foxes were able to hunt rabbits inside wild Spotted-tailed Quolls
dog territories and possibly escape conflict by Belcher (1995) studied the diet of the spotted-
using rabbit warrens (Thomson and Marsack tailed quoll in East Gippsland, Victoria, and found it
unpubl. data in Fleming et al. 2001). In forested to be largely dependent on medium-sized
areas in south-eastern Australia, there was no mammals (0.5 to 5 kg). The most important prey
Summary
Little quantitative information is available on the
interactions between introduced predators and
native carnivores. The information that is available
suggests that dingoes and wild dogs may be
A major aim in ecology is to produce dynamic and it is likely the conclusions from them are
models that allow us to predict the effects of qualitative rather than quantitative.
changing parts of the system. To date this has
Here we set out to refine and extend the Pech and
proved largely unattainable, particularly in natural
Hood (1998) model. We aim to make the model
systems (Abrams 2001). Part of the problem lies
more predictive, but recognise this will be
in the complex nature of these systems, but also in
constrained by whether we can identify critical
a lack of focus on the components of many of the
interactions for these species, and by the data
relationships such as the functional response
available. The simplest models express rates of
(Abrams 2001).
increase of consumer species in terms of the
Interactive models abundance (or intake) of resources (‘prey’), so our
initial intention was to find relationships between
Interactive models attempt to model the
rates of increase for foxes and/or feral cats in
relationships advocated by Abrams (2001) and
relation to the abundance of rabbits.
have been used in Australian systems because of
Unfortunately, data were not available to do this.
the strong environmental variability characteristic
We focus initially on semi-arid systems, because
of these systems. They were pioneered in
the original model was developed for these
Australia by Caughley (1987) and colleagues
systems, but we also explore temperate systems.
(Bayliss 1987), who used them to model kangaroo
population dynamics. At the base of the model is One of the problems we have with developing
rainfall, (Figure 5) which drives pasture production models for these systems is that we don’t really
and pasture senescence. Herbivore offtake from know what the population dynamics of the different
pasture is determined by the functional response species are. For rabbits we have a reasonable
of the herbivore to pasture. The numerical idea, but for predators our understanding of their
response, or instantaneous rate of increase of the population dynamics is very uncertain. A ~20 year
herbivore, is expressed in terms of the biomass of data set of Brian Cooke’s (unpubl. data) indicates
grassland vegetation. For a more mechanistic that rabbit populations were generally low (<20 per
approach rate of increase should be expressed in spotlight km), but showed sharp increases,
terms of intake rate, rather than the density of the sometimes up to 400 per spotlight km, and sharp
resource. declines in density. This suggests rabbits respond
rapidly to good conditions and then crash just as
Pech and Hood (1998) developed a three trophic
rapidly when conditions deteriorate. Whether
level interactive model for a semi-arid system: with
rabbits are regulated by predators under certain
grassland vegetation at the bottom level, rabbits
conditions is not really known, but was suggested
and a model native Australian prey in the middle
by some of the results from Yathong (Newsome et
level, and foxes at the top level. Their model was
al. 1989; Pech et al. 1992). For predators, we
developed to explore whether reduced rabbit
don’t really know whether their populations
abundance due to RHD was likely to benefit or
fluctuate markedly or are reasonably stable despite
negatively affect native prey subject to fox
large fluctuations in rabbit density. We may expect
predation. Their model calculated rabbit
with predators to see recruitment peaks in late
population rate of increase as a function of pasture
summer/autumn, because of their seasonal
biomass, but adds a term to account for fox
breeding. This was observed in the Flinders
predation on rabbits.
Ranges, but spotlight counts there were over
They made numerous assumptions because of the extremely long distances (Holden and Mutze
lack of detailed information on many of the critical 2002). In many other areas these recruitment
parameters for a model of this type. The first major peaks are not apparent, possibly reflecting the
assumption was that there is a relationship short spotlight distances and the limitations of
between fox population rate of increase and rabbit spotlight counts for tracking changes in the true
density, which we explore below. density of predator populations.
Another key parameter was determined in their
model by trial and error, to produce population
A modelling framework
dynamics broadly consistent with those that occur
in the field. They set minimum densities on rabbit We begin with the premise that the important
and fox populations to stop them going extinct in interactions that drive the population dynamics of
the model. These assumptions make the the species in this system are those shown in
predictive power of these early models uncertain, Figure 5 and we discuss each of these interactions
in detail. This diagram is not exhaustive. For
0.04 5
prey dependent
data are not available. (As an example of this
0.03
50 approach see equations 7 and 8 in Appendix 1).
0.02 The behaviour of this model is shown in Figures 7c
0.01 & 7d. Qualitatively this type of model appears to
0
better reflect the abrupt changes in rabbit
0 100 200 300 400 500 600 700 abundance evident in semi-arid systems (B. Cooke
Pasture biomass unpubl. data, Pech et al. 1992), but data are not
available to parameterise this model properly.
Figure 6. Prey dependent (dotted line) and
ratio dependent (solid lines) functional
responses.
The values 0.5, 5 and 50 indicate the abundance of the
consumer.
We include the functional response of rabbits in
our models to take account of their effect on their
food supply. However, other herbivores in the
system are often ignored (e.g. Pech and Hood
1998), which may cause serious errors if we want
to properly account for pasture biomass. Other
significant herbivores would be stock (in pastoral
areas), kangaroos (Caughley 1987), large feral
herbivores such as goats, and invertebrates.
80
60
60
Rabbits/ha
Rabbits/ha
40
40
20
20
0
0
0 5000 10000 15000 0 5000 10000 15000
Time (days) Time (days)
(b) (d)
80
80
60
60
Rabbits/ha
Rabbits/ha
40
40
20
20
0
Time (days)
0 5000 10000 15000
Time (days)
Interaction 4 Interaction 5
Density-dependence in rabbit populations Native prey effect on vegetation
Interaction 4 allows for unexplained density- Two general categories of native prey could be
dependence in rabbit populations. This could considered: Abundant native prey such as
come from social interactions, (see equation 9 in kangaroos, which are likely to have an impact on
Appendix 1 for the numerical response function). the vegetation (Caughley 1987); rare and
This approach was proposed by Caughley and threatened native prey. The latter may be
Krebs (1983) and has been used for possums by herbivores, or may feed on alternative foods such
Bayliss and Choquenot (2002) and for ferrets and as insects, but they are unlikely to have significant
feral cats by Arthur and Norbury (unpubl. data). effects on vegetation biomass at the low densities
This has not been considered for rabbits, but there at which they currently exist.
is no evidence to our knowledge that it is
necessary for rabbits.
30
0.60 25
2002). We can also compare the rates of increase
20
from trough to trough, and from peak to peak, (i.e.
0.40
15
different estimates of yearly rates of increase).
0.20
10 The rate of increase over the recruitment phase or
5 decline phase was not related to rabbit density
0.00 0 (Figure 9).
Dec-91 Sep-94 Jun-97 Mar-00
Figure 9. Rate of increase of foxes (r) during (a) the recruitment phase (spring – late summer) and (b)
the winter decline (late summer to spring), plotted against rabbit index of abundance.
The recruitment rate of increase was calculated as ln(Nsummer/Nspring), where the spring estimate was taken as the lowest
fox index in Sep-Nov, and the summer index was taken as the highest estimate in Feb-May the following year. The
rabbit index was the corresponding spotlight count at the start of the recruitment phase in spring. The winter decline rate
of increase was calculated as ln(Nspring/ Nsummer), where the spring estimate was taken as the lowest fox index in Sep-
Nov, and the summer index was taken as the highest estimate in Feb-May prior to the spring. The rabbit index was the
corresponding spotlight count in summer.
The rate of increase from peak to peak (and trough to trough) was not related to rabbit density (Figure 10).
(a)
(b)
1
1
0.5
R2 = 0.0062 0.5 R2 = 0.012
0 0
r 0 10 20 30 40 50 r 0 10 20 30 40
-0.5 -0.5
-1 -1
-1.5 -1.5
rabbits/km rabbits/km
Figure 10. Fox rate of increase from (a) peak to peak and from (b) trough to trough plotted against
the rabbit index mid-way between the peaks or troughs.
Despite no apparent relationship between fox At Roxby Downs the fox population declined prior
population rate of increase and rabbit density, fox to the arrival of RHD in 1995 (Figure 11).
density appeared to decline following the arrival of Unfortunately we do not know whether rabbit
RHD if we consider either peak or trough indices density was high prior to April 1989, this could
of foxes (Figure 8). At the distant site the post- explain the initially high fox density. If the same
RHD peak fox index was ~36% of the pre-RHD conversion to rabbits/ha used by Pech and Hood
peak index, while the post-RHD trough fox index (1998) is applicable in this system rabbit densities
was ~50% of the pre-RHD trough index (Holden during the period when foxes declined should
and Mutze 2002). have produced positive rates of increase for foxes
every year, rather than the observed decline.
If shooting foxes had little impact on the fox index,
the FRNP data suggest fox density was limited by
some factor other than rabbit density when rabbit
density and fox density was high, but following the
decline in rabbit density post RHD, fox density
may have been limited by rabbit density.
cat
0.12 12
Rabbits km -1
rabbit
Density-dependence in fox populations
0.1 10
Interaction 9 allows for unexplained density-
0.08 8 dependence in fox populations. There is some
0.06 6 evidence from the Flinders Ranges this may
0.04 4
occur, based on the observations that fox density
remained relatively stable prior to the release of
0.02 2
RHD despite high rabbit densities, although
0 0 tenuous (see above). Foxes are highly territorial,
Aug-87 May-90 Jan-93 Oct-95 Jul-98 Apr-01 Jan-04
and probably exist as a family group with one
male, one female and cubs prior to cub dispersal.
Figure 11. Rabbit, cat and fox indices of Family groups with more than one adult vixen
abundance at Roxby Downs. have been observed outside Australia, although it
Read and Bowen 2001 and Read and Bowen, unpubl. is highly unlikely in semi-arid and arid
data. To simplify the data, which were noisy, we fitted environments (Saunders et al.1995) and adult
smoothed splines.
females with overlapping home ranges have been
This highlights one of the problems we have in recorded in eastern Australia (Saunders et al.
developing quantitative models for these systems; 2002), but these tend to occur in areas with
the data are usually not collected in an abundant resources such as urban environments.
appropriate way. Rabbit abundance indices are Hence, fox density may be regulated by social
usually expressed as rabbits per spotlight km, and interactions.
it is unclear whether an observed number per
Density dependence could be included by adding
spotlight km in one study is equivalent to the
a term to the Pech and Hood (1998) model for fox
same number per spotlight km in another study.
numerical response, (equation 14 in Appendix 1),
In the Flinders Ranges study the peak rabbit
or by adding a density dependent term to either
density in April 1992 averaged ~40 km-1, while in
the decline phase or increase phase in the more
the Roxby Downs area it averaged ~5 km-1. Was
detailed model but is not warranted on the
there an eight-fold difference or were the apparent
available data.
different densities due to partly to measurement
protocols or site-dependent factors such as Interaction 10
sightability? It is also unclear whether the
The effect of feral cats on rabbits
temporal sequence of observations within sites
In semi-arid systems rabbits comprise a large
really reflects true densities because of the
percentage of the diet of feral cats (Holden and
influence of changing vegetation on spotlight
Mutze 2002; Read and Bowen 2001; Olympic
counts. The numerical response of foxes to
Dam unpubl. data; Risbey et al. 1999). Based on
rabbits is expressed in equation 11 in Appendix 1
the data presented in Holden and Mutze (2002)
and is from Pech and Hood (1998).
and rabbit spotlight counts from (Mutze et al.
The model was based on: the allometric estimate 2002), feral cats have a type II functional
of maximum rate of increase, an observed response to rabbits, and have higher predation
maximum rate of decline during the drought at rates on rabbits at lower densities compared to
Yathong, and a value for demographic efficiency foxes (Figure. 12). As with the Yathong data
obtained by trial and error, to produce an overall (Pech et al. 1992) foxes appear to have a type III
model that showed qualitatively reasonable functional response to rabbits. The fitted model
behaviour in terms of rabbit population dynamics. for feral cats is a Holling type II functional
response, (see equation 15 in Appendix 1).
A more mechanistic approach would express the
fox rate of increase in terms of food intake, and To establish a cat functional response to rabbits
would also break the year into recruitment and we have assumed that occurrence in stomachs
decline (non-recruitment) periods, but whether this reflects actual intake. To properly model the
is feasible requires future investigation. Our initial offtake rate of feral cats on rabbits we need to
intention was to at least express rate of increase express the equation in terms of biomass of rabbit
over the recruitment period and the decline period rather than percentage occurrence in the diet. To
in terms of rabbit availability, as has been done for measure the true impact of feral cats on rabbits,
predators in New Zealand (Arthur and Norbury, as for foxes, we actually require kill rates but
unpubl. data), and for foxes in temperate areas these data are not available for semi-arid
50
occurred after RHD arrived, there was some
40 evidence the cat population increased while the
30 fox population declined (Figure 11).
20
Establishing a numerical response for feral cats
10 It has been reported that feral cats preferentially
0 prey on juvenile rabbits (Catling 1988; Jones
0 5 10 15 20 25 30 35 40
1977) and this may explain the slow population
Rabbits/km
recovery observed in Victoria following a cull of
Figure 12. Cat (open diamonds) and fox feral cats when few young rabbits were available
(closed squares) functional responses to (Jones and Coman 1981). If feral cats respond to
rabbits in the Flinders Ranges. the availability of juvenile rabbits rather than the
Data on occurrence of items in stomachs are from total abundance of rabbits, then it may be
Holden and Mutze (2002). Rabbit abundance indices necessary to express the numerical response of
are from unripped transects of Mutze et al. (2002). feral cats in terms of availability of juvenile rabbits.
To our knowledge data are not available to
While not from a semi-arid system, data from parameterise a model of this form. One possibility
Burrendong Dam in NSW provides some may be to model the numerical response of feral
evidence that feral cats continue to prey on cats, as a function of the numerical response of
rabbits at lower densities than foxes (Davey et al. rabbits, assuming those juvenile rabbits are
In Prep; Molsher 1999). available when the rate of increase of rabbits is
The effect of rabbits on cat rate of increase positive.
The common occurrence of rabbit in the diet of If we use a functional form based on the
feral cats at high rabbit density, combined with the abundance of rabbits as for foxes (e.g. like eqn
observed decline in cat populations following 11, Appendix 1), the maximum rate of increase of
declines in rabbit populations in times of drought feral cats based on an average body size of 2.8
(Newsome et al. 1989), suggests cat rate of kg is 0.99 per year (0.25 per quarter). The
increase could depend on the abundance of maximum rate of decrease is unknown, and
rabbits. However, the availability of alternative difficult to estimate because of the difficulty in
food is also likely to decrease during droughts. If assessing the abundance of feral cats. The
we consider the functional response of feral cats demographic efficiency is unknown, but if feral
to rabbits relative to the functional response of cats can increase when rabbit densities are low
foxes to rabbits we could make contrasting (cf. foxes) their demographic efficiency would be
predictions about how we expect these predators larger than foxes. The effect of demographic
to respond to a reduction in the density of rabbits. efficiency on resultant dynamics is explored
One possibility is that feral cats continue to exploit below.
rabbits at lower densities than foxes because they
are better able to catch rabbits than foxes. Then Interaction 11
we would hence predict that when rabbit densities
Density-dependence in cat populations
drop foxes are disadvantaged and decline, while
Interaction 11 allows for unexplained density-
feral cats can continue to exploit rabbits and can
dependence in the dynamics of cat populations.
maintain their population density. Alternatively,
Whether some form of social regulation affects the
the continued presence of rabbit in the diet at low
abundance of feral cats is unknown.
2.5
40
2.0
Foxes per sq. km
30
Rabbits/ha
1.5
20
1.0
10
0.5
0.0
0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
(c) (d)
2.5
40
2.0
Foxes per sq. km
30
Rabbits/ha
1.5
20
1.0
10
0.5
0.0
0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
Figure 13. Simulated population trajectories without additional density dependence in fox population
dynamics (i.e. the original Pech and Hood 1998) model (a & b), with density dependence added (c &
d, g = 0.0015).
Figure 14 shows the effect of controlling rabbits the sensitivity of the model to an increase in
on fox population density. Controlling rabbits to rainfall. When rabbits are controlled below ~0.4
less than 1 ha-1 has little effect on fox population ha-1 the fox population must decline to its
dynamics. Controlling rabbits to 0.5 ha-1 has a minimum allowable density under this model (this
large effect on fox populations during the first 50 is the value below which the demographic
years of the simulation, but fox populations are efficiency of foxes results in fox rate of increase
relatively high during the last 50 years, showing being negative).
2.0
Rabbits/ha
0.8
1.0
0.4
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
(c) (d)
1.2
2.0
Rabbits/ha
0.8
1.0
0.4
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
(e) (f)
1.2
2.0
Rabbits/ha
0.8
1.0
0.4
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
10 15 20 25
Rabbits/ha
Rabbits/ha
5
5
0
0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
2.0
2.0
Foxes per sq. km
1.5
1.0
1.0
0.5
0.5
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
3.0
3.0
Cats per sq. km
2.0
1.0
1.0
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
Figure 15. Simulated population dynamics using the Pech and Hood (1998) model with feral cats
added.
A comparison between the figures on the left and those on the right shows the effect of changing the demographic
efficiency of feral cats from 2 to 5: feral cats become more competitive, their population increases, the rabbit population
is generally kept lower, and the fox population is reduced.
15
Rabbits/ha
Rabbits/ha
10
10
5
5
0
0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
1.5
1.5
Foxes per sq. km
1.0
0.5
0.5
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
3.0
3.0
Cats per sq. km
2.0
1.0
1.0
0.0
0.0
0 20 40 60 80 100 0 20 40 60 80 100
Years Years
Figure 16. Simulated population dynamics using the Pech and Hood (1998) model with feral cats
added.
The demographic efficiency of feral cats was set at 5. A comparison between the figures on the left and those on the
right shows the effect of adding a negative effect of foxes on feral cats (h=0.003, eqn 16). Feral cats average lower
densities, foxes average higher densities and rabbit density increases also as the more efficient predator is suppressed.
Summary
address issues of stability at lower resource
The preliminary simulation models explore the densities. More specifically, there is a clear need
potential interactions between rabbits, foxes and to properly quantify the relationship between
feral cats, but they are based mainly on rabbits and the two predators. Numerical
hypothesised relationships. The sensitivity of the responses for the two predators should be
model to small changes in rainfall suggests a more determined in relation to both the abundance of
detailed understanding of the relationships is rabbits (or juvenile rabbits) and simultaneously the
required. The tendency of the model to reach the abundance of alternative food sources. Based on
lower defined minimum for all species when both diet studies both foxes and feral cats consume
predators are present also suggests a much better many prey species other than rabbits, but to our
understanding of the relationships is required. knowledge no quantitative information currently
Refinements to the model such as the utilisation of exists to build this into the predators’ numerical
ratio-dependent functional responses may partly responses. Ideally, numerical responses would be
foxes/km
resulting from breeding and non-breeding seasons
0.6
will affect model behaviour and are likely to R 2 =0.0124
The general principals and strategies of integrated the resource it threatens, or the relative costs and
control are outlined in Braysher (1993). Williams et benefits of integrated control techniques for a
al. (1995) and Saunders et al. (1995) provided combination of predators and rabbits, and native
guidelines for the application of these principals species.
and strategies to rabbits and foxes, respectively.
Implementing an integrated control program is
The general principals set out by Braysher (1993) therefore limited by the above constraints.
included defining the problem, clearly stating the Monitoring and evaluating control programs is
objectives and setting out the criteria of success limited by the lack of reliable techniques to monitor
and failure, evaluating various management changes in the abundance of feral cats and many
options, implementing actions; monitoring and populations of native species, and to a lesser
evaluating the outcomes against the objectives. extent changes in fox abundance.
Being able to clearly state the objectives of an
integrated control program requires an
understanding of the impacts of feral cats, foxes
and rabbits, or a combination of these species, on
native fauna. This review highlights the general
lack of knowledge on the impacts of these species
and the interactions between species.
A risk adverse approach would be to undertake
integrated control wherever feral cats, foxes and
rabbits co-occur. However, this may not be
practical or possible due to limitations on
resources.
There appears to be a link between feral cats and
rabbit abundance and fox and rabbit abundance in
semi-arid and arid areas. A reduction in rabbits,
under the right circumstances, can lead to a
lagged reduction in both fox and feral cat
abundance. In situations were there are small
populations of native species that are at risk from
predation, and where rabbits are the primary prey
of foxes and/or feral cats, it may be beneficial to
undertake integrated control. In areas where
rabbits are not the primary prey of feral cats or
foxes, integrated control may not be necessary,
and targeted predator control may be a better
investment of limited resources.
Assuming that reliable information on the impacts
of feral cats, foxes and rabbits can be obtained for
a particular area, setting the criteria of success or
failure is currently hindered by the available
techniques to assess changes in abundance of
feral cats and in small populations of rare native
species.
Currently, there is an array of control techniques
and strategies used for rabbits and foxes, and only
limited strategic approaches and tactical tools for
the control of feral cats (Algar et al. 1999). To our
knowledge, few studies have investigated the
efficiencies and effectiveness of these control
strategies, in terms of the target prey species and
To gain reliable knowledge on the most effective However, we do provide some guidelines as to the
and efficient combination of pest management general design features for studies to fill the gaps
strategies that would bring about gains in in our knowledge.
biodiversity, we could apply the basic principals of
Community and Institutional Support
investigative science. That is, undertake large-
scale manipulative experiments that are replicated, It is likely that community engagement will be
randomised and controlled. These three tenets of essential, as control operations will probably be
the scientific method underpin the acquisition of undertaken across tenure due to the distribution of
reliable knowledge. However, large-scale the species and the scale at which experiments are
manipulative experiments are difficult to implement likely to be undertaken. Accordingly, the
in the field and require long-term support and implementation and long-term success of large-
investment from management agencies. Financial scale projects will in part rely on community
and logistical constraints have the effect of support. Institutional support is also vital, providing
reducing the temporal scale over which studies are the resources to implement projects.
able to operate. This is a major limitation as
It is important that in the development stage of
patterns and processes often take many years to
emerge. It is often the case that large these projects the expectations of the timing and
management-scale experiments must sacrifice one magnitude of results are kept realistic. Failure to
deliver on unrealistic expectations can lead to a
or more of the components of experimental design.
withdrawal of community and institutional support,
Our ability to impose reductions of specified levels resulting in premature cessation of projects.
on feral cats and foxes is limited. The techniques
available are essentially blunt instruments, able Legislative Requirements
only to impose changes at a coarse level. This A vital component to any experiment is the use of
limits our capacity to fine-tune our understanding of non-treatment sites. However, the control of pest
many of the interactions between management animals is often legislated and is obligatory for
actions (control), predators, their prey and native State Government and other land managers. Not
species. It is also difficult to plan for outbreaks of controlling pest species may contravene local
disease such as myxomatosis or RHD that may legislation.
confound experimental manipulations.
Scale
These limitations can have the effect of restricting
the generality of the outcomes or reducing the It is important that manipulative experiments are
strength of the inferences that can be drawn. conducted at the appropriate scale. For example,
However in some instances manipulative for an experiment investigating the impact of
experimentation, at the scale of management or at changes in rabbit abundance on fox population
least at the scale of the predators, is the only way dynamics, it would be necessary to have at least
to improve our knowledge. two experimental units and one control unit that
each encompasses the home range of several fox
A combination of management scale groups. Similarly, experiments on competition
experimentation and smaller scale research between rabbits and medium-sized native
targeted at specific questions, such as those listed herbivores would be at the scale of the herbivores.
in the previous section, will lead to increased levels
of reliable knowledge that can also be used to The scale of the monitoring program also needs to
optimise the modelling processes. Based on be appropriate for the species investigated. For
improvements in knowledge, management actions example, spotlight transects that monitor changes
may then be altered to optimise benefits of pest in rabbit abundance are typically shorter (< 5 km)
control. Continual updating of system models than those required to assess changes in fox
decreases the amount of time it takes to improve abundance (> 10 km).
the reliability of management decisions. Duration
Experimental Design One of the major limitations on many of the studies
This review does not provide detailed designs for to date has been the limited duration of the
each identified gap in current knowledge as this experiments. If the experiment was investigating
would require knowledge of site specific features, changes in survival rates, the study needs to be
history of control, infrastructure, limitations on able to account for the natural variation in these
access, community and State Government rates. This may take several years.
support, and legislative requirements.
Abrams, P. A., and Ginzburg, L. R. (2000). The nature of predation: prey dependent, ratio dependent or
neither? Trends in Ecology & Evolution 15, 337-341.
Algar, D., and Smith, R. (1998). Approaching Eden. Landscape 13, 28-34.
Algar, D., and Sinagra, J. A. (1996). ‘Methods of broadscale control of feral cats in Western Australia. Feral
Pests Program, Project 11’. (Department of Conservation and Land Management: Western Australia).
Algar, D., Angus, G. J., and Sinagra, J. A. (1999). ‘Preliminary assessment of a trapping technique to
measure feral cat abundance. Final Report to Environment Australia’. (Department of Conservation
and Land management: Western Australia).
Algar, D. A., Burbidge, A. A., and Angus, G. J. (2002). Cat eradication on Hermite Island, Montebello Islands,
Western Australia. In ‘Turning the tide: the eradication of invasive specks’. (Eds C. R. Veitch and M. N.
Clout.). pp. 118 (World Conservation Union, Gland: Switzerland).
Alonzo, S. H. (2002). State-dependent habitat selection games between predators and prey: the importance
of behavioural interactions and expected lifetime reproductive success. Evolutionary Ecology
Research 4, 759-778.
Arthur, A. D. (2001). Effects of predation and habitat structure on the population dynamics of prey:
experiments in a model, field based system. Ph.D. Thesis, University of Sydney.
Arthur, A. D., and Pech, R. P. (2003). The non-lethal impacts of predation on mouse behaviour and
reproduction – implications for pest population dynamics. In ‘Rats, mice and people: rodent biology
and management’. (Eds G. R. Singleton, L. A. Hinds, C. M. Krebs, and Spratt, D. M.) pp 329-333
(ACIAR Monograph No.96).
Arthur, T., Pech, R., Drew, A., Gifford, E., Henry, S., and McKeown, A. (2003). The effect of increased
ground-level habitat complexity on mouse population dynamics. Wildlife Research 30, 565-572.
Atkinson, I.A.E. (1985). The spread of commensal species of Rattus to oceanic islands and their effect on
island avifaunas. In ‘Conservation of Island Birds’ (Ed. P. J. Moors). pp. 35-81. (ICBP Technical
Publication no. 3).
Baker-Gabb, D. J. (1984). The feeding ecology and behaviour of seven species of raptor over-wintering in
coastal Victoria. Australian Wildlife Research 11, 517–532.
Baldwin, J. A. (1980). The domestic cat, Felis catus L., in the Pacific Islands. Carnivore Genetics Newsletter
4, 57-66.
Banks, P. B. (2000). Can foxes regulate rabbit populations? Journal of Wildlife Management 64, 401-406.
Banks, P. B., Dickman, C. R., and Newsome, A. E. (1998). Ecological costs of feral predator control: foxes
and rabbits. Journal of Wildlife Management 62, 766–772.
Banks, P. B., Newsome, A. E., Dickman, C. R. (2000). Predation by red foxes limits recruitment in
populations of eastern grey kangaroos. Austral Ecology 25, 283-291.
Bayliss, P., and Choquenot, D. (2002). The numerical response: rate of increase and food limitation in
herbivores and predators. Philosophical Transactions of the Royal Society of London Series B-
Biological Sciences 357, 1233-1248.
Bayly, C. P. (1978). A comparison of the diets of the red fox and the feral cat in an arid environment. South
Australian Naturalist 53, 20-28.
Begg, R. J. (1983). Northern Quoll. In: ‘The Australian Museum Complete Book of Australian Mammals’. (Ed.
R. Strahan.) p. 23. (Angus and Robertson: Sydney).
Belcher, C. A. (1995). Diet of the Tiger QuoII (Dasyurus maculatus) in East Gippsland, Victoria. Wildlife
Research 22, 341-57.
Blackball, S. (1980). Diet of the eastern native-cat, Dasyurus viverrinus (Shaw), in southern Tasmania.
Australian Wildlife Research 7, 191-198.
Baysher, M. (1993). ‘Managing Vertebrate Pests: Principles and Strategies’. (Australian Government
Publishing Service: Canberra).
Brooker, M. G. (1977). Some notes on the mammalian fauna of the western Nullarbor plain, Western
Australia. Western Australian Naturalist 14, 2-15.
Brown, J. S. (1988). Patch use as an indicator of habitat preference, predation risk, and competition.
Behavioural Ecology and Sociobiology 22, 37-47.
Burbidge, A. A., and McKenzie, N. L. (1989). Patterns in the modern decline of Western Australia's
vertebrate fauna: causes and conservation implications. Biological Conservation 50, 143-198.
Burbidge A. A., and Manly, B. J. F. (2002). Mammal extinctions on Australian islands: causes and
conservation implications. Journal of biogeography. 29, 465-473.
Catling, P. C. (1988). Similarities and contrasts in the diets of foxes, Vulpes vulpes, and cats. Felis catus,
relative to fluctuating prey populations and drought. Australian Wildlife Research 15, 307-317.
Catling, P. C., and Burt, R. J. (1995). Why are red foxes absent from some eucalypt forests in eastern New
South Wales? Wildlife Research 22, 535-546.
Catling, B., and Reid, A. M. (2003). ‘Predator and critical weight range species 5. Results of spring 2002 and
autumn 2003 surveys’. (CSIRO Sustainable Ecosystems: Canberra).
Caughley, G .(1977). ‘Analysis of Vertebrate Populations”. (John Wiley and Sons, Chichester: United
Kingdom).
Caughley, G. (1987). Ecological relationships. In ‘Kangaroos: their Ecology and Management in the Sheep
Rangelands of Australia’. (Eds. G. Caughley N. Shepherd and J. Short) pp 159-187 (Cambridge
University Press: Cambridge).
Caughley, G., and Krebs, C. J. (1983). Are big mammals simply little mammals writ large? Oecologia 59, 7-
17.
Chase, J. M. (2003). Strong and weak trophic cascades along a productivity gradient. Oikos 101, 187-195.
Choquenot, D. (1998). Testing the relative influence of intrinsic and extrinsic variation in food availability on
feral pig populations in Australia's rangelands. Journal of Animal Ecology 67, 887-907.
Choquenot, D. (1992). The outsiders: competition between introduced herbivores and domestic stock in
rangeland grazing systems. Australian Rangelands in a Changing Environment, 7th Biennial
Conference of the Australian Rangeland Society. Australian Rangeland Society.
Christensen, P. E. S. (1980). The biology of Bettongia penicillata Gray, 1837, and Macropus eugenii
(Desmarest, 1817) in relation to fire. Forest Department of Western Australia Bulletin 91, 1-90.
Christensen, P. E. S. and Burrows, N. D. (1995). Project Desert Dreaming: the reintroduction of mammals to
the Gibson Desert. In ‘Reintroduction Biology of Australian and New Zealand Fauna’. (Ed. M. Serena)
pp. 199-208 (Surrey Beatty and Sons: Chipping Norton).
Coman, B. J. (1973). The diet of red foxes, Vulpes vulpes L, in Victoria. Australian Journal of Zoology 21,
391-401.
Coman, B. J. (1983). The fox. In ‘Complete Book of Australian Mammals’. (Ed. R. Strahan), pp 486-487.
(Angus and Robertson: Sydney).
Coman, B. J., and Brunner, H. (1972). Food habits of the feral house cat in Victoria. Journal of Wildlife
Management 36, 848-853.
Corbett, L. (1995). ‘The Dingo in Australia and Asia’. (University of New South Wale Press Ltd: Sydney).
Crooks, K. R., and Soule, M. E. (1999). Mesopredator release and avifauna extinctions in fragmented
systems. Nature 5, 563-566.
Davey, C., Sinclair, A. R. E., Pech, R. P., Arthur, A. D., Newsome, A. E., Hik, D., Molsher, R., and Allcock, K.
(In Prep). Do exotic vertebrates structure the biota of Australia? An experimental test in New South
Wales.
Davis, S. A., Pech, R. P. and Catchpole, E. A. (2003) Populations in variable environments: the effect of
variability in a species’ primary resource. In ‘Wildlife population growth rates’. (Eds. R.M. Sibly, J.
Hone and T.H. Clutton-Brock) pp. 180-197 (Cambridge University Press: Cambridge).
Dawson, T. J., and Ellis, B. A. (1979). Comparison of the diets of Yellow-footed Rock-wallabies and
sympatric herbivores in western New South Wales. Australian Wildlife Research 6, 245-254.
Dawson, T. J., and Ellis, B. A. (1994). Diets of mammalian herbivores in Australian arid shrublands: seasonal
effects on overlap between kangaroos, sheep and rabbits and on dietary niche breadths and
electivities. Journal of Arid Environments 26, 257-271.
de Torres, P. (1999). Control and Ecology of the Red Fox in Western Australia – prey response to 1080
baiting over larger areas. CALMScience, Wildlife Research Centre, Department of Conservation and
Land Management, Western Australia.
Dekker, D. (1986). Wolf (Canis lupus) numbers and colour phases in Jasper National Park, Alberta: 1965-
1984. Canadian Field Naturalist 100, 550-553.
Dickman, C. (1996). ‘Overview of the Impacts of Feral Cats on Australian Native Fauna”. (Australian Nature
Conservation Agency: Canberra).
Edwards, G. P., Dobbie, W., and Berman, D. McK. (2002a). Population trends in European rabbits and other
wildlife of central Australia in the wake of rabbit haemorrhagic disease. Wildlife Research 29, 557-565
Edwards, G. P., Dobbie, W., and Berman, D. McK. (2002b). Warren ripping: its impacts on European rabbits
and other wildlife of central Australia amid the establishment of rabbit haemorrhagic disease. Wildlife
Research 29, 567-575.
Estes, J. A. (1996). Predators and ecosystem management. Wildlife Society Bulletin 24, 390-396.
Finlayson, H. H. (1961). On Central Australian mammals. Part IV. The distribution and status of central
Australian species. Records of the South Australian Museum 14,141-191.
Fleming, P., Corbett, L, Harden, R. and Thomson, P. (2001). ‘Managing the Impacts of Dingoes and Other
Wild Dogs’. (Bureau of Rural Sciences: Canberra).
Friend, J.A. (1990). The numbat Myrmecobius fasciatus (Myrmecobiidae): history of decline and potential for
recovery. Proceedings of the Ecological Society of Australia 16, 369-377.
Friend, J. A. and Scanlon, M. D. (1996). ‘Assessment of the effect of fox control on populations of the red-
tailed phascogale. Phase 4: final report’. ANCA Feral Pests Program Project 18. (Department of
Conservation and Land Management: Western Australia).
Gibb, J. A., and Williams, J. M. (1990). ‘European rabbit’. In ‘The handbook of New Zealand mammals’. (Ed.
C. M. King) (Oxford University Press: Auckland).
Gibson, D. F., Lundie-Jenkins, G., Langford. D. G., Cole, J. R, Clarke. D. E., and Johnson, K. A. (1994).
Predation by feral cats, Felis catus, on the rufous hare-wallaby, Lagorchestes hirsutus, in the Tanami
Desert. Australian Mammalogy 17, 103-7.
Godsell, J. (1982). Aspects of the population ecology of the eastern quoll, Dasyurus viverrinus (Dasyuridae,
Marsupialia) in southern Tasmania. In ‘Carnivorous Marsupials’. (Ed. M. Archer) pp. 199-207 (Royal
Zoological Society of New South Wales: Sydney).
Green, K. and Osborne W. S. (1981). The Diet of Foxes, Vulpes vulpes (L.) in relation to abundance of prey
above the winter snowline in New South Wales. Australian Wildlife Research 8, 349-60.
Greentree, C., Saunders, G., Mcleod, L., and Hone, J. (2000). Lamb predation and fox control in south-
eastern Australia. Journal of Applied Ecology 37, 935 – 943.
Harper, G. A., and Dobbins, M. (2002). Control of cats on mountain “islands”, Stewart Island, New Zealand In
‘Turning the tide: the eradication of invasive specks’. (Eds. C. R. Veitch and M. N. Clout) pp. 408
(World Conservation Union, Gland: Switzerland).
Hayward, M. W., de Tores, P. J., Dillon, M. J., and Fox, B. (2003). Local population structure of a naturally
occurring metapopulation of the quokka (Setonix brachyurus Macropodidae: Marsupialia). Biological
Conservation 110, 343 – 355.
Henke, S.E. and Bryant. F.C. (1999). Effects of coyote removal on the faunal community in western Texas.
Journal of Wildlife Management 63,1066-1081.
Holden, C. and Mutze, G. (2002). Impact of rabbit haemorrhagic disease on introduced predators in the
Flinders Ranges, South Australia. Wildlife Research 29, 615-626.
Holling, C. S. (1965). The functional response of predators to prey density and its role in mimicry and
population regulation. Memoirs of the Entomological Society of Canada 45, 5–60.
Holt, R. D., (1977). Predation, apparent competition, and the structure of prey communities. Theoretical
Population Biology 12, 197-229.
Hone, J. (1994). ‘Analysis of Vertebrate Pest Control’. (Cambridge University Press: Cambridge).
Hone, J. (1999). Fox control and rock-wallaby population dynamics – assumptions and hypotheses. Wildlife
Research 26, 671-673.
Hughes, J. J., Ward, D., and Perrin, M. R., (1994). Predation risk and competition affect habitat selection and
activity of Namibia Desert gerbils. Ecology 75, 1397-1405.
Jarman, P. (1986). The red fox – an exotic, large predator. In ‘The Ecology of Exotic Animals and Plants,
Some Australian Case Studies’. (Ed. R. L. Kitching) pp. 45-61 (Wiley and Sons: Brisbane).
Johnson, K. A., and Roff. A. D. (1982). The western quoll, Dasyurus geoffroii (Dasyuridae, Marsupialia) in
the Northern Territory: historical records from venerable sources. In ‘Carnivorous Marsupials’. (Ed. M.
Archer). pp. 209-20. (Royal Zoological Society of New South Wales: Sydney).
Jones, E. (1977). Ecology of the feral cat, Felis catus (L.), (Carnivora: Felidae) on Macquarie Island.
Australian Wildlife Research 4, 249-262.
Jones, E. (1983). Feral Cat. In ‘Complete Book of Australian Mammals’. (Ed. R. Strahan). p. 489 (Angus and
Robertson: Sydney).
Jones, E., and Coman, B. J. (1981). Ecology of the feral cat, Felis catus (L.), in south-eastern Australia. I.
Diet. Australian Wildlife Research 8, 537-547.
King, D., and Green, B. (1999). ‘Goannas. The Biology of Varanid Lizards’. (University of NSW Press:
Sydney).
Kinnear, J. E., Onus, M.L., and Bromilow, R. N. (1988) Fox control and rock-wallaby population dynamics.
Australian Wildlife Research 15, 435-450.
Kinnear, J. E., Onus, M. L., and Sumner, N. R. (1998). Fox control and rock-wallaby population dynamics –
II. An update. Wildlife Research 25, 81-88.
Kinnear, J. E., Sumner, N.R., and Onus, M. L. (2002) The red fox in Australia-an exotic predator turned
biocontrol agent. Biological Conservation 108, 335-359.
Korpimaki, E., and Krebs, C. J. (1996). Predation and population cycles of small mammals. Bioscience 46,
754–764.
Krebs, C. J., Boutin, S., and Boonstra, R. (2001). ‘Ecosystem dynamics of the Boreal Forest: the Kluane
Project’. (Oxford University Press: New York).
Liberg, O. (1984). Food habits and prey impact by feral and house-based domestic cats in a rural; area in
southern Sweden. Journal of Mammalogy 65, 424-432.
Lindstrom, E. R., Brainerd, S. M., Helldin, J. O. and Overskaug, K. (1995). Pine marten- red fox interactions:
a case of intraguild predation? Annales Zoologici Fennici 32, 123-130.
Lugton, I. (1991). Dietary and feeding studies of Australian foxes and their relevance to lamb predation.
Australian Vertebrate Pest Conference, pp 181-186.
Lunney, D., Trigg, B., Eby, P., and Ashby, E. (1990). Analysis of scats of dogs, Canis familiars, and foxes,
Vulpes vulpes (Canidae Camivora), in coastal Bega, New South Wales. Australian Wildlife Research
17, 61-68.
Mallinson, D., Olsen, P., and Olsen, J. (1990). A note on the breeding of the Little Eagle (Hieraaetus
morphnoides) and other raptors in the Mt Mugga area, ACT. Corella 14, 88-91.
Mitchell, B. (2003). Interactions between wild dogs and foxes in the Greater Blue Mountains region. Honours
Thesis, University of NSW, NSW.
Mitchell, N., Haeffner, R., Veer, V., Fulford-Gardner, U., Clerveaux, W., Veitch, C. R., and Mitchell, G.
(2002). Cat eradication and the restoration of endangered iguanas (Cyclura carinata) on Long Cay,
Caicos Bank, Turks and Caicos Islands, British West Indies. In ‘Turning the tide: the eradication of
invasive specks’. (Eds. C. R. Veitch and M. N. Clout.) pp. 206 (World Conservation Union, Gland:
Switzerland).
Molsher, R. (1999). The ecology of feral cats, Felis catus, in open forest in New South Wales: Interactions
with food resources and foxes. Ph.D. Thesis, (University of Sydney: NSW).
Molsher, R., Newsome, A., and Dickman, C. (1999). Feeding ecology and population dynamics of the feral
cat (Felis catus) in relation to the availability of prey in central-eastern New South Wales. Wildlife
Research 26, 593 – 607.
Morris, K., Johnson, B., Orell, P., Gaikhonf, G., Wayne, A., and Mora, D. (2003). Recovery of the threatened
Chuditch (Dasyurus geoffroii): a case study. In ‘Predators with Pouches: The Biology of Carnivorous
Marsupials’. (Eds. M. Jones, C. Dickman and M. Archer). (CSIRO Publishing, Collingwood: Victoria).
Morris, K., Orell. P., Brazell, R. (1995). The Effect of Fox Control on Native Mammals in the Jarrah Forest,
Western Australia. 10th Australian Vertebrate Pest Control Conference, Hobart, Tasmania.
Moseby, K. (2002). ‘The Arid Recovery Project. Annual Report 2002’. (Department of Environment and
Heritage: Adelaide).
Murdoch, W. W. (1969). Switching in general predators: experiments of predator specificity and stability of
prey populations. Ecological Monographs 39, 335-354.
Murdoch, W., and Oaten, A. (1975). Predation and population control. Advances in Ecological Research 9,
2-130.
Mutze, H., Bird, P., Kovaliski, J., Peacock, D., Jennings, S. and Cooke, B. (2002). Emerging epidemiological
patterns in rabbit haemorrhagic disease, its interaction with myxomatosis, and their effects on rabbit
populations in South Australia. Wildlife Research 29, 577-590.
Myers, K., and Parker, B. S. (1975a). Effect of severe drought on rabbit numbers and distribution in a refuge
area in semi-arid north-western New South Wales. Australian Wildlife Research 2, 103-120.
Myers, K., and Parker, B. S. (1975b). A study of the biology of the wild rabbit in climatically different regions
in eastern Australia. VI. Changes in numbers and distribution related to climate and land systems in
semi-arid north-western New South Wales. Australian Wildlife Research 2, 11-32.
Navarrete, S. A., and Castilla, J. C. (2003). Experimental determination of predation intensity in an intertidal
predator guild: dominant versus subordinate prey. Oikos 100, 251-262.
Newsome, A. E., Parer, I., and Catling, P. C. (1989). Prolonged prey suppression by carnivores-predator
removal experiments. Oecologia 78, 458-467.
Newsome, A., Pech, R., Smyth, R., Banks, P., Dickman, C., (1997). ‘Potential impacts on the Australian
native fauna of rabbit calicivirus disease’. (Environment Australia: Canberra).
Newsome, A. E., and Sinclair, A. R. E. (1995). Testing new theory in predator-prey relationships. Wildlife
Research 22, 1-3.
NSW National Parks and Wildlife Service (2001). ‘Threat Abatement Plan for Predation by the Red Fox
(Vulpes vulpes)’. (NSW National Parks and Wildlife Service: Hurstville).
Nogales, M., Martin, A., Tershy, B. R., Donlan, J. C., Veitch, D., Puerta, N., Wood, B., and Alonso, J. (2004).
A review of feral cat eradication on islands. Conservation Biology 18, 310-319.
Oakwood, M. (2000). Reproduction and demography of the northern quoll, Dasyurus hallucatus, in the
lowland savanna of northern Australia. Australian Journal of Zoology 48, 519-539.
Osborne, W., Preece, M., Green, K., and Green, M. (1978). Gungartan: A winter fauna survey above 1,500
m. Victorian Naturalist 95, 226-35.
Palomares, F., Gaona, P., Ferreras, P., and Delibes, M. (1995). Positive effects on game species of top
predators by controlling smaller predator populations: An example with Lynx, Mongoose, and Rabbits.
Conservation Biology 9, 295–305.
Paltridge, R., Gibson, D., and Edwards, G. (1997). Diet of the feral cat (Felis catus) in central Australia.
Wildlife Research 24, 67-76.
Paltridge, R. (2002). The diets of cats, foxes and dingoes in relation to prey availability in the Tanami Desert,
Northern Territory. Wildlife Research 29, 389-403.
Pech, R. P., Sinclair, A. R. E., Newsome, A. E., and Catling, P. C. (1992). Limits to predator regulation of
rabbits in Australia: evidence from predator-removal experiments. Oecologia 89, 102–112.
Pech, R. P., Sinclair, A. R. E., and Newsome, A. E. (1995). Predation models for primary and secondary prey
species. Wildlife Research 22, 55–64.
Pech, R., Hood, G. M., McIlroy, J., and Saunders, G. (1997). Can foxes be controlled by reducing their
fertility. Reproduction, Fertility and Development 9, 41–50.
Pech, R. P., and Hood, G. R. (1998). Foxes, rabbits, alternative prey and rabbit calicivirus disease -
consequences of a new biological control agent for an outbreaking species in Australia. Journal of
Applied Ecology 35, 434-453.
Pettigrew, J. D. (1993). A burst of feral cats in the Diamantina – a lesson for the management of pest
species? In: ‘Cat management workshop proceedings’ (Eds. G. Siepen and C. Owens.) (Queensland
Department of Environment and Heritage: Brisbane).
Quinn, J. L., and Cresswell, W. (2004). Predator hunting behaviour and prey vulnerability. Journal of Animal
Ecology 73,143-154.
Rauzon, M. J., Forsell, D. J., and Flint, E. N. (2002). Seabird re-colonisation after cat eradication on
equatorial Jarvis, Howland, and Baker Islands, USA, Central Pacific. Zealand. In ‘Turning the tide: the
Read, J., and Bowen, Z. (2001). Population dynamics, diet and aspects of the biology of feral cats and foxes
in arid South Australia Wildlife Research 28, 195-203.
Reddiex, B. (2004). ‘Effects of predation and rabbit haemorrhagic disease on rabbit population dynamics in
New Zealand’. Ph.D. Thesis, (Lincoln University: New Zealand).
Reddiex, B., Forsyth, D. M., McDonald-Madden, E., Einoder, L. D., Griffioen, P. A., Chick, R. R. and Robley,
A. J. (2004). ‘Review of existing feral goat, feral cat, feral rabbit, feral pig, fox, and wild dog control in
Australia’. (Arthur Rylah Institute for Environmental Research, Department of Sustainability and
Environment: Melbourne).
Richards, J. D. and Short, J. (2003). Reintroduction and establishment of the western barred bandicoot
Perameles bougainville (Marsupialia: Peramelidae) at Shark Bay, Western Australia. Biological
Conservation 109, 181-195.
Ridpath, M. G., and Brooker, M. G. (1986). The breeding of the Wedge-tailed Eagle, Aquila audax in relation
to its food supply. Ibis 128, 177-194.
Risbey, D. A., Calver, M. C, and Short, J. (1999). The impact of cats and foxes on the small vertebrate fauna
of Heirisson Prong, Western Australia. I. Exploring potential impact using diet analysis. Wildlife
Research 26, 621-630.
Risbey, D. (2000). ‘The impact of cats and foxes on small terrestrial vertebrates and the control of feral cats
at Heirisson Prong’. Ph.D. Thesis (Murdoch University: Western Australia).
Risbey, D. A., Calver, M. C., Short, J., Bradley, J. S., and Wright, I. W. (2000). The impact of cats and foxes
on the small vertebrate fauna of Heirisson Prong, Western Australia. II. A field experiment. Wildlife
Research 27, 223-235.
Robertshaw, J. D. and Harden, R. H. (1985). Ecology of the dingo in north-eastern New South Wales. II.
Diet. Australia Wildlife Research 12, 39-50.
Robertson, G. (1987). Plant dynamics. In ‘Kangaroos: their Ecology and Management in the Sheep
Rangelands of Australia’. (Eds. G. Caughley, N. Shepherd, and J. Short.) pp 50-67 (Cambridge
University Press: Cambridge).
Robley, A. (1999). ‘The comparative ecology of the burrowing bettong (Bettongia lesueur) and the European
rabbits (Oryctolagus cuniculus)’. Ph.D. Thesis (Murdoch University: Western Australia).
Robley, A., Short, J., and Bradley, S. (2001). Dietary overlap between the burrowing bettong (Bettongia
lesueur) and the European rabbits (Oryctolagus cuniculus) in semi-arid coastal Western Australia.
Wildlife Research 28, 341 – 349.
Robley, A. J., Short, J., and Bradley, S. (2002). Do European rabbits (Oryctolagus cuniculus) influence the
population ecology of the burrowing bettong (Bettongia lesueur)? Wildlife Research 29, 423-429.
Robley, A, and Wright, J (2003). ‘Adaptive Experimental Management of Foxes. Annual Report for Year 2
July 2002 – June 2003’. (Arthur Rylah Institute for Environmental Research, Department of
Sustainability and Environment: Melbourne).
Rogers, P. M., Arthur, C. P., and Soriguer, R. C. (1994). The rabbit in continental Europe. In ‘The European
rabbit: the history and biology of a successful colonizer’. (Eds. H. V. Thompson, and C. M. King)
(Oxford University Press: Oxford).
Rolls, E. G. (1969). ‘They all ran wild’. (Angus & Robertson: Sydney).
Sandell, P. R., and Start, A. N. (1999). Rabbit Calicivirus Disease Program Report 4: Implications for
Biodiversity in Australia. A report of research conducted by participants of the Rabbit Calicivirus
Disease Monitoring and Surveillance Program and Epidemiology Program, Prepared for the RCD
Management Group. (Bureau of Rural Sciences: Canberra).
Sargeant, A. B., Greenwood, R. J., Sovada, M. A. and Schaffer, T. L. (1993). Distribution and abundance of
predators that affect duck production: Prairie Pothole Region. U.S. Fish and Wildlife Service Resource
Publication, 194.
Saunders, G., Coman, B., Kinnear, J., and Braysher (1995). ‘Managing Vertebrate Pests: Foxes’. (Bureau of
Resource Sciences: Canberra).
Saunders, G., Choquenot, D., McIlroy, J., and Packwood, R. (1998). Initial effects of rabbit haemorrhagic
disease on free-living rabbit (Oryctolagus cuniculus) populations in central-western New South Wales.
Wildlife Research 26, 69–74.
Saunders, G.R., McIlroy, J.C., Berghout, M., Kay, B., Gifford, Perry, R., and van de Ven, R. 2002, The
effect of induced sterility on the territorial behaviour and survival of foxes. Journal of Applied Ecology
39, 56-66.
Saunders, G., Berghout, M., van de Ven, R., and Winstanley, R. (2004). The diet of foxes (Vulpes vulpes) in
south-eastern Australia and the potential effects of rabbit haemorrhagic disease Wildlife Research 31,
13-18.
Schlager, F. E. (1981). ‘The distribution, status and ecology of the rufous rat-kangaroo, Aepyprymnus
rufescens, in northern New South Wales’. Masters of Natural Resources, (University of New England:
Armidale).
Serena, M., Soderquist. T. R. and Morris, K. (1991). ‘The Chuditch’. Western Australian Wildlife Management
Program, No. 7. (Department of Conservation and Land Management: Perth)
Short, J. (1985) The functional response of kangaroos sheep and rabbits in an arid grazing system. Journal
of Applied Ecology 22, 435-47.
Short, J. (1987). Factors affecting food intake of rangelands herbivores. In ‘Kangaroos: their Ecology and
Management in the Sheep Rangelands of Australia’. (Eds. G. Caughley, N. Shepherd, and J. Short.)
pp 84-98. (Cambridge University Press: Cambridge).
Short, J. (1998). The extinction of rat-kangaroos (Marsupialia: Potoroidae) in New South Wales, Australia.
Biological Conservation 86, 365-377.
Short, J. and Smith, A. (1994). Mammal decline and recover in Australia. Journal of Mammalogy. 75, 288-
297.
Short, J., Bradshaw, S. D., Giles, J., Prince, R. I. T., and Wilson, G. (1992). The reintroduction of macropods
(Marsupialia: Macropodoidea) in Australia – a review. Biological Conservation 62, 189-204.
Short, J., Kinnear, J., and Robley, A. (2002). Surplus killing by introduced predators in Australia – evidence
for ineffective anti-predator adaptations in native prey species. Biological Conservation 103, 282-301.
Sinclair, A. R. E. (1989). Population regulation in animals. In: ‘Ecological Concepts: the Contribution of
Ecology to Understanding of the Natural World’. (Ed. J.M. Cherrett). pp. 197-241. (Blackwell Scientific
Publications: Oxford).
Sinclair, A. R. E. (1997). Fertility control of mammal pests and the conservation of endangered marsupials.
Reproduction, Fertility and Development 9, 1-16.
Sinclair, A. R. E., and Krebs, C. J. (2003). Complex numerical responses to top-down and bottom-up
processes in vertebrate populations. Philosophical Transactions of The Royal Society London B 357,
1221–1232.
Sinclair, A. R. E., Olsen, P. D., and Redhead, T. D. (1990). Can predators regulate small mammal
populations? Evidence from house mouse outbreaks in Australia. Oikos 59, 382–392.
Sinclair, A. R. E., and Pech, R. P. (1996). Density dependence, stochasticity, compensation and predator
regulation. Oikos 75, 164–173.
Sinclair, A. R. E., Pech, R. P., Dickman, C. R., Hik, D., Mahon, P., and Newsome, A. E. (1998). Predicting
effects of predation on the conservation of endangered prey. Conservation Biology 12, 564-575.
Smith, A. P., and Quin, D. G., (1996). Patterns and causes of extinction and decline in Australian conilurine
rodents. Biological Conservation 77, 243-267.
Soderquist, T. R., and Serena, M. (1994). Dietary niche of the western quoll, Dasyurus geoffroii, in the jarrah
forest of Western Australia. Australian Mammalogy 17,133-136.
Solomon, M. E. (1949). The natural control of animal population. Journal of Applied Ecology 18, 1–35.
Soule, M.E., Bolger, D.T., Alberts, A.C., Wright, J., Sorice, M. and Hill, S. (1988). Reconstructed dynamics of
rapid extinctions of chaparral-requiring birds in urban habitat islands. Conservation Biology 2, 75-92.
Sovada, M. A., Sargeant, A. B., and Greir, J. W. (1995). Differential effects of coyotes and red foxes on duck
nest success. Journal of Wildlife Management 59, 1-9.
Stokes, V. L., Pech, R., Banks, P. B., and Arthur, A. (2004). Foraging behaviour and habitat use by
Antechinus flavipes and Sminthopsis murina (Marsupialia: Dasyuridae) in response to predation risk in
eucalypt woodland. Biological Conservation 117, 331-342.
Taylor, R. H., (1979). How the Macquarie Island parakeet became extinct. New Zealand Journal of Ecology
2, 42-45.
Thompson, P. C., and Shepherd, R. (1995). Return to Eden. Landscope 10, 21 – 25.
Thomson, P. C. (1992) The behavioural ecology of dingoes in north-western Australia. III. Hunting and
feeding behaviour, and diet. Wildlife Research 19, 531-542.
Thompson, H. V. (1994). The rabbit in Britain. In ‘The European rabbit: the history and biology of a
successful colonizer’. (Eds. H. V. Thompson, and C. M. King) pp. 64–107 (Oxford University Press:
Oxford).
Trout, R. C., and Tittensor, A. M. (1989). Can predators regulate wild rabbit Oryctolagus cuniculus population
density in England and Wales. Mammal Review 19, 153–173.
Walters, C. (1986). ‘Adaptive Management of Renewable Resources’. (MacMillan Publishing Company: New
York).
Wheeler, S. H. and King, D. R. (1985). The European rabbit in south-western Australia. II. Reproduction.
Australian Wildlife Research 12, 197-212.
Winstanley, R. K., Buttemer, W. A., and Saunders, G. (2003). Field metabolic rate and body water turnover
of the red fox Vulpes vulpes in Australia. Mammal Review 33, 295-301.
Woinarski, J. C. Z. and Braithwaite, R. W. (1990). Conservation foci for Australian birds and mammals.
Search 21, 65-67.
Wood, D. H. (1980). The demography of a rabbit population in an arid region of New South Wales Australia.
Journal of Animal Ecology 49, 55-79.
Wood, B., Tershy, B. R., Hermosillo, M. A., Donlan, C. J., Sanchez, J. A., Keitt, B. S., Croll, D. A., Howald, G.
R., and Biavaschi, N. (2002). Removing cats from islands in north-west Mexico. In ‘Turning the tide:
the eradication of invasive specks’. (Eds. C. R. Veitch and M. N. Clout) pp. 206 (World Conservation
Union, Gland: Switzerland).
Interactions 1 and 2
The effect of climate on vegetation biomass and growth in Australia in semi-arid systems was quantified by
Robertson (1987). In Australia most published interactive models for semi-arid systems (Caughley 1987;
Choquenot 1998; Pech and Hood 1998) have used Caughley’s modification of Robertson’s (1987) pasture
growth model (Caughley 1987), where the quarterly change in pasture biomass is given by:
Pasture biomass V is in units of kg ha-1, R is the quarterly total rainfall in mm and V* is drawn from a normal
distribution with the mean equal to the estimate from the regression equation and a standard deviation of 52
kg ha-1 (Caughley 1987).
Interaction 3
Rabbits effect on vegetation
The effect of rabbits on vegetation was measured by Short (1987) using an intensive grazing trial in
Kinchega National Park. The daily per capita consumption of pasture by rabbits, adjusted for body weight
and expressed as kg animal-1 day-1 was:
where V is the pasture biomass in kg ha-1 and w is the weight of a rabbit in kg. The satiating intake is
0.068w 0.75. This is an Ivlev form of a type II prey dependent functional response.
A ratio dependent functional response could have the form:
xV
g R = 0.068(1 − e R )( w0.75 )
y
eqn 3
r = − a + c(1 − e − dI ) eqn 5
− ln(1 − a / c)
d= eqn 6
s. p.w0.75
A more mechanistic approach would be to model rabbit rate of increase as a function of both pasture growth
(rabbits respond to growing pasture by breeding), and standing biomass (standing biomass may contribute to
rabbit survival), but to our knowledge this has not been attempted and data are not available. As an
example of this approach rabbit dynamics could be divided into periods where rabbits breed and periods
where breeding ceases and populations decline. Breeding could be determined as a function of a threshold
biomass (i.e. breeding only occurs when a certain biomass of vegetation is present) combined with an Ivlev
numerical response of the form:
where rm is the maximum rate of increase, d determines the shape of the relationship between growth and
rate of increase and ∆V is the growth. When the vegetation is not growing rabbits do not breed and the
population declines depending on available biomass (or intake):
r = −a + c(1 − e − dV ) eqn 8
where a in this case reflects the maximum rate of decrease, c = ln(maximum finite survival rate in non-
breeding period), d is the demographic efficiency and V is the biomass.
Interaction 4
Interaction 4 allows for unexplained density-dependence in rabbit populations. This could come from social
interactions for example, and is modelled by a numerical response function of the form:
r = − a + c(1 − e − dV ) − jR eqn 9
Interaction 8
Effect of foxes on rabbits
In semi-arid systems rabbits comprise a large percentage of the fox diet, particularly when at high density
(Pech and Hood 1998). Pech et al. (1992) estimated the functional response of foxes to rabbits at Yathong
based on the weight of rabbit found in fox stomachs and an estimate of gut passage rates. They fitted a
Holling type III functional response to the data (Holling 1959). The daily consumption of rabbits in grams per
fox per day was:
where R is the number of rabbits ha-1. For computer simulations they defined a minimum fox density of 0.1
km-2 to prevent fox populations from reaching unrealistically low densities and/or going extinct.
A more mechanistic approach would express fox rate of increase in terms of food intake, and would also
break the year into recruitment periods and decline (non-recruitment) periods, but whether this is feasible
requires future investigation. As an example of the approach, recruitment could be considered a point event
(say weaning) and modelled as a function of intake integrated over a preceding period (or average intake for
simplicity):
where c is the maximum recruitment rate, d is the demographic efficiency, i is the averaged intake over a
defined period, and T is a threshold intake below which recruitment is not possible. The maximum intake
rate is defined by the maximum number of females produced per female per recruitment period c =
ln(1+max. females produced). After the recruitment peak the population declines until the next recruitment
phase at a rate according to the equation:
where a is the maximum rate of decline, c-a is the minimum rate of decline, d’ is the demographic efficiency
based on intake and I is the intake. As an example of estimating c-a, if litters of four cubs, with two females
and two males is a reasonable approximation of the maximum recruitment of foxes, and an rmax of 0.84 per
year is a reasonable approximation of the maximum rate of increase of foxes, then the maximum finite yearly
survival rate (c-a) is about e0.84/3 = 77%.
Interaction 9
Interaction 9 allows for unexplained density-dependence in fox populations. Density dependence could be
added by adding a term to the Pech and Hood model for fox numerical response:
or by adding a density dependent term to either the decline phase or increase phase in the more detailed
model.
Interaction 10
The effect of feral cats on rabbits
The fitted model for feral cats is a Holling type II functional response (Figure 12):
where R is the number of rabbits km-1, and the intake rate is expressed as a percentage occurrence in the
diet per unit time.
Interaction 12
Interaction 12 is added to represent interactions between foxes and feral cats not captured by competition for
resources through the functional response. This could be interference competition or direct predation.
rC = −a + c(1 − e − dR ) − hF eqn 16
where R is the abundance of rabbits (or juvenile rabbits), and F is the abundance of foxes.
where R is the density of rabbits ha-1. For the cat numerical response we use equation 16, with a = 0.56 (the
same as foxes), and c-a = 0.25 (i.e. the intrinsic rate of increase rm = c-a is estimated using the allometric
relationship of Sinclair (1996) and an average body weight of 2.8 kg for adult females). We vary the
demographic efficiency d and the effect of foxes on feral cats h. In the absence of any other information we
set the minimum density of feral cats the same as foxes (0.1 km-2).