Contributed Paper
Long-Term Dynamics of a Fragmented
Rainforest Mammal Assemblage
WILLIAM F. LAURANCE,∗ ‡ SUSAN G. LAURANCE,∗ AND DAVID W. HILBERT†
∗
Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Ancón, Panama
†CSIRO Sustainable Ecosystems, Tropical Forest Research Centre, P.O. Box 780, Atherton, Queensland 4883,
Australia
Abstract: Habitat fragmentation is a severe threat to tropical biotas, but its long-term effects are poorly
understood. We evaluated longer-term changes in the abundance of larger (>1 kg) mammals in fragmented
and intact rainforest and in riparian “corridors” in tropical Queensland, with data from 190 spotlighting
surveys conducted in 1986–1987 and 2006–2007. In 1986–1987 when most fragments were already 20–50
years old, mammal assemblages differed markedly between fragmented and intact forest. Most vulnerable were
lemuroid ringtail possums (Hemibelideus lemuroides), followed by Lumholtz’s tree-kangaroos (Dendrolagus
lumholtzi) and Herbert River ringtail possums (Pseudocheirus herbertensis). Further changes were evident
20 years later. Mammal species richness fell significantly in fragments, and the abundances of 4 species,
coppery brushtail possums (Trichosurus vulpecula johnstoni), green ringtail possums (Pseudochirops archeri),
red-legged pademelons (Thylogale stigmatica), and tree-kangaroos, declined significantly. The most surprising
finding was that the lemuroid ringtail, a strict rainforest specialist, apparently recolonized one fragment,
despite a 99.98% decrease in abundance in fragments and corridors. A combination of factors, including longterm fragmentation effects, shifts in the surrounding matrix vegetation, and recurring cyclone disturbances,
appear to underlie these dynamic changes in mammal assemblages.
Keywords: Australia, cyclones, forest fragmentation, long-term research, mammal assemblages, marsupials,
matrix vegetation, Queensland, tropical rainforests
Dinámica a Largo Plazo de un Ensamble de Mamı́feros de un Bosque Lluvioso Fragmentado
Resumen: La fragmentación del hábitat es una severa amenaza para las biotas tropicales, pero se conoce
poco sobre sus efectos a largo plazo. Evaluamos cambios de largo plazo en la abundancia de mamı́feros
mayores (>1 kg) en bosque lluvioso fragmentado e intacto y en “corredores” ribereños en Queensland, con
datos de 190 muestreos con reflector llevados a cabo en 1986–1987 y 2006–2007. En 1986–1987, cuando la
mayorı́a de los fragmentos ya tenı́an entre 20 y 50 años, los ensambles de mamı́feros difirieron significativamente entre bosque intacto y fragmentado. Los más vulnerables fueron zarigüeyas (Hemibelideus lemuroides),
seguidas por canguros arborı́colas (Dendrolagus lumholtzi) y zarigüeyas (Pseudocheirus herbertensis). Mayores cambios fueron evidentes 20 años después. La riqueza de mamı́feros decayó significativamente en los
fragmentos, las abundancias de 4 especies, Trichosurus vulpecula johnstoni, Pseudochirops archeri, Thylogale
stigmatica y D. lumholtzi, disminuyó significativamente. El hallazgo más sorprendente fue que H. lemuroids,
un especialista de bosque estricto, aparentemente recolonizó un fragmento, no obstante un 99.98% de disminución en abundancia en los fragmentos y corredores. Una combinación de factores, incluyendo los efectos
de la fragmentación a largo plazo, cambios en la matriz de vegetación circundante y las perturbaciones
ciclónicas recurrentes, parece subyacer en estos cambios dinámicos en los ensambles de mamı́feros.
Palabras Clave: Australia, bosques lluviosos tropicales, ciclones, ensambles de mamı́feros, fragmentación de
bosque, investigación a largo plazo, marsupiales, matriz de vegetación, Queensland
‡email
[email protected]
Paper submitted November 30, 2007; revised manuscript accepted January 30, 2008.
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Conservation Biology, Volume 22, No. 5, 1154–1164
C 2008 Society for Conservation Biology. No claim to original US government works.
Journal compilation
DOI: 10.1111/j.1523-1739.2008.00981.x
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Laurance et al.
Introduction
Forest loss and fragmentation are among the most serious
of all perils to tropical biodiversity (Laurance & Bierregaard 1997; Lindenmayer & Fischer 2006). Not only are
tropical landscapes being rapidly fragmented, but many
protected areas are becoming isolated as their surrounding habitats are degraded or destroyed (Curran et al. 2004;
DeFries et al. 2005; Mayaux et al. 2005). Tropical forest
disruption is expected to continue apace over the next
century, driven by continued population growth, rapid
industrialization, and agricultural expansion for crops
and biofuels (Tilman et al. 2001; Rudel 2005; Laurance
2007). Clearly, the fate of much of tropical biodiversity
will depend on our capacity to understand and limit the
long-term impacts of forest fragmentation.
Much is unknown about the dynamics of fragmented
tropical ecosystems, especially over longer timescales.
Some of the clearest insights have come from an experimentally fragmented landscape in Amazonia (Lovejoy et al. 1986; Laurance et al. 2002; Ferraz et al. 2003;
Stouffer et al. 2006) and from small islands in a Venezuelan reservoir (Terborgh et al. 2001; Feeley & Terborgh
2006), but fragments in these investigations were just
1–2 decades old. Only in a handful of studies have researchers examined older fragmented systems, such as
centuries-old forest remnants in Singapore and Hong
Kong (Corlett & Turner 1997; Brook et al. 2003) and
Pleistocene land-bridge islands (Terborgh 1975; Wilcox
1978).
Here we provide a 20-year comparison of the abundances and species richness of tree-kangaroos, wallabies, and larger (>1 kg) possums in fragmented and
intact rainforests in tropical Queensland, Australia. Our
study area, the southern Atherton Tableland, is a key
center of endemism that supports numerous mammal
species with highly restricted geographical and elevational ranges (Winter 1988; Williams & Pearson 1997;
Kanowski et al. 2001). We initially assessed the impacts
of forest fragmentation on this fauna in 1986–1987 (Laurance 1990, 1991a, 1994, 1997), when most of the
fragments were 2–5 decades old. We returned exactly
20 years later, to evaluate subsequent changes in mammal populations. This comparison provided rare insights
into the longer-term dynamics of a fragmented species
assemblage.
Methods
Study Area
The Atherton Tableland (600–900 m elevation) in tropical Queensland was formerly dominated by rainfor-
est. This cloudy, wet area (mean rainfall approximately
2800 mm/year on the southern Tableland) is an apparent Pleistocene refugium and is considered the most important center of species endemism in tropical Australia
(Winter 1988; Williams & Pearson 1997).
Much of the Tableland and has been deforested, mostly
for dairy farming, cattle ranching, and residential development. Clearing began about 1909 and proceeded rapidly
for the next 3 decades. By 1983 more than 76,000 ha
of forest had been removed (Winter et al. 1987), leaving
more than 100 rainforest fragments ranging from 1 to
600 ha in area, scattered over an area of about 900 km2 .
Large (>3600 ha) tracts of intact but selectively logged
rainforest, protected since 1988 as a World Heritage area,
persist on steeper hillsides that enclose the margins of the
Tableland. Fragments are surrounded by mosaics of cattle pastures and narrow (10–50 m wide) strips of forest
regrowth along streams (hereafter termed corridors).
The southern half of the Atherton Tableland (Fig. 1),
where this study was conducted, has experienced only
limited change in forest cover over the past 3 decades
(determined on the basis of aerial imagery taken in 1986
and 2006). Recent forest clearing has been minimal, and
the forest has partially regenerated in certain areas, most
notably around a small (12.8-ha) fragment (fragment 5,
Fig. 1) 220 m from intact forest. The largest disturbances
have been caused by cyclones. The study area was damaged by major cyclones in 1986 and 2006 (Laurance
1991b; Laurance & Curran 2008), in each case just 5–
7 months before our spotlighting surveys commenced.
The region also suffered strong El Niño related droughts
in 1982 and 2002 that caused substantial animal and plant
mortality (N. I. J. Tucker, personal communication).
Census Methods
In 1986–1987 one of us (W.F.L.) and 2 experienced field
assistants used standardized spotlighting methods to repeatedly survey nocturnal mammals in 20 study sites
(Fig. 1): 10 forest fragments ranging from 1.4 to 590 ha
in area, 7 “controls” in intact but selectively logged rainforest, and 3 corridors along streams (see Laurance 1990,
1991a, 1997 for details). All censuses were conducted
along forest edges or old logging tracks. The main species
encountered were the red-legged pademelon (Thylogale
stigmatica), a scansorial rainforest wallaby, and 5 arboreal folivorous mammals, the coppery brushtail possum
(Trichosurus vulpecula johnstoni), lemuroid ringtail
(Hemibelideus lemuroides), green ringtail (Pseudochirops archeri) and Herbert River ringtail possums (Pseudochirulus herbertensis), and Lumholtz’s tree-kangaroo
(Dendrolagus lumholtzi).
Two of us (W.F.L., S.G.L.) returned to the study area
in 2006–2007 to resurvey the same sites. We used
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Long-Term Dynamics of Mammals
Figure 1. Map of study area in north
Queensland in 2006–2007. Four control
sites in intact forest are A, C, D, and G; 10
forest fragments ranging from 1.4 to 590 ha
in area are numbers 1–10; and 4 regrowth
“corridors” along streams are a–d.
identical methods and surveyed the same routes as in
1986–1987. All 10 fragments were resurveyed, but only
4 of the 7 control sites were accessible because of heavy
cyclone damage. In addition, a landowner refused us access to 1 corridor, so we replaced this with 2 other nearby
corridors that we repeatedly surveyed by spotlighting in
the early 1990s (Laurance & Laurance 1999). To help
standardize comparisons between 1986–1987 and 2006–
2007, we included only surveys conducted between the
mid-dry season (September–October) and early wet season (January–February). Sampling effort was similar between the 2 intervals. In 1986–1987 each study site was
surveyed 4–7 times (104.0 h total), yielding 1035 animal detections, whereas in 2006–2007 each site was
surveyed 5 times (124.1 h total), yielding 858 animal detections. Prior work suggests that 4–5 spotlighting surveys are sufficient to obtain stable abundance estimates
for most species (Laurance & Laurance 1996).
All surveys were conducted on foot between 2000 and
0100 with hand-held spotlights and binoculars to identify animals. Tree-kangaroos and pademelons were also
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identified when heard nearby, because the former has a
unique escape behavior (plummeting down from trees
and then loudly bounding away) and the latter gives
distinctive warning thumps when disturbed. The 2 observers alternated among study sites and habitat types
to minimize effects of observer bias, with a minimum
10-day interval between successive surveys of the same
site. For each study site we determined the abundance of
each species (mean number of individuals detected per
hour) in 1986–1987 and 2006–2007. For each animal we
recorded species, time of observation, estimated height
of the animal, estimated horizontal distance of the animal
from the forest or road edge, whether the animal was
accompanied by conspecifics, and an age-class estimate
for the animal, when possible (see Laurance 1990 for
details).
Landscape Predictors
Six quantitative predictors were recorded for each habitat fragment on the basis of 1986 aerial imagery and
other data summarized in Laurance (1990), updated with
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Laurance et al.
recent (August 2006) aerial imagery. These variables were
log 10 fragment area; a continuous index of fragment
shape; a simple index of topographic diversity (1, flat
or nearly flat terrain; 2, gentle or rolling slopes; 3, moderately steep slopes; 4, steep slopes or sharply dissected
terrain); a composite index of fragment isolation (integrating 3 intercorrelated measurements of distance to
nearby intact forest and large fragments); a “corridorgap code” that described the largest gap in tree-cover
along stream-corridors linking each fragment to nearby
intact forest (1, no gap in the corridor; 2, 10- to 50m gap; 3, 50- to 100-m gap; 4, 100- to 200-m gap; 5,
200- to 500-m gap; and 6, >500-m gap); and an index
of fragment age in 2006 (1, <30 years since isolation; 2,
30–40 years; 3, 40–55 years; 4, >55 years). Detailed descriptions of these predictors are provided in Laurance
(1990).
Data Analysis
We evaluated changes in mammal abundances and
species richness in 2 ways. First, we used repeatedmeasures analysis of variance (ANOVA) to test for
changes in each response variable between the 2 time
intervals (1986–1987 vs. 2006–2007) and among 4 habitat types (4 controls, 5 small [<20-ha] fragments, 5 large
[>20-ha] fragments, and 4 corridors). Second, within
each habitat type, we used paired t tests to contrast each
variable between the 1986–1987 and 2006–2007 periods. Most response variables were log(x+1) transformed
to improve data normality and reduce heteroscedasticity, with Wilk-Shapiro tests used to assess data
normality.
We used best subsets and multiple regressions to assess the influence of landscape predictors on mammal
species richness. None of the predictors was intercorrelated strongly enough (R2 < 50%) to produce significant
colinearity effects in the multiple-regression models. Performance of the final regression model was assessed by
comparing the standardized residuals to fitted values and
to each significant predictor.
Raw data on foraging heights of the 5 arboreal species
could not be located for 1986–1987, so comparisons
among habitat types and time periods were conducted
by comparing their means and 95% CIs (x̄ ± 1.96 SE),
with the 1986–1987 data generated from descriptive
statistics in Laurance (1990). Although such comparisons
assume a normal data distribution, foraging heights of
the arboreal species in 2006–2007 exhibited only modest departures from normality (Wilk-Shapiro statistic =
0.88–0.96), suggesting this assumption is not unreasonable. Raw data on animal detectability (horizontal distance of each individual from the forest edge or logging track) also were lost for 1986–1987, but key inferences were possible with summary statistics in Laurance
(1990).
Results
Animal Detectability
In 1986–1987, 93.7% of all animals were detected within
15 m of forest or logging-track edges. Mean and maximum detection distances were 5.7 and 40 m, respectively. Detectability increased slightly in 2006–2007. Of
all animals detected, 85.5% were within 15 m of edges,
and the mean and maximum detection distances were
7.2 and 70 m, respectively. Thus, approximately 8% more
individuals were detected in 2006–2007 relative to 1986–
1987, mostly >15 m from transects. We did not attempt
to correct for this difference (see Discussion).
Animal detectability did not differ between intact forest versus forest fragments and corridors (F 1,828 = 0.01,
p = 0.91), despite large differences in mean detection
distances among species (F 5,828 = 7.65, p < 0.001; 2-way
ANOVA with log-transformed distance data for 2006–
2007). In pairwise comparisons following a one-way
ANOVA (F 5,834 = 18.81, p < 0.0001), tree-kangaroos,
pademelons, and lemuroid ringtails were detected at
larger distances than coppery brushtails, green ringtails,
and Herbert River ringtails (p ≤ 0.002). Tree-kangaroos
and pademelons were often identified by sound, which
increased their detection distances, whereas lemuroid
ringtails have an especially bright eyeshine. In addition,
Herbert River ringtails had a larger detection distance
than green ringtails (p = 0.04) ( Tukey’s tests), which
have a dim eyeshine and cryptic coloration.
Species Abundances
Repeated measures ANOVAs revealed strong effects of
both habitat type and time on mammal community composition (Table 1). Lemuroid ringtail possums, Lumholtz’s
tree-kangaroos, and red-legged pademelons varied significantly in abundance among the 4 habitat types (controls, large fragments, small fragments, and corridors),
as did overall mammal species richness. Effects of time
were significant for coppery brushtail possums, green
ringtail possums, tree-kangaroos, and pademelons, and
Herbert River ringtails exhibited a significant time-habitat
interaction.
Results of paired t tests comparing mammal assemblages in each habitat type and time (Table 2) showed
that, relative to 1986–1987, tree-kangaroo abundance declined significantly in intact forest in 2006–2007. Herbert River ringtails declined in abundance in large fragments, whereas coppery brushtails, green ringtails, and
red-legged pademelons all declined in small fragments.
In addition, tree-kangaroos and pademelons exhibited
marginally nonsignificant (p ≤ 0.08) declines in large
fragments. No species changed in abundance in corridors, although 2 species (lemuroid ringtails and pademelons) were never detected in corridors. A tendency
for many species to decline in abundance over time,
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Long-Term Dynamics of Mammals
Table 1. A comparison with repeated-measures analyses of variance of mammal abundances and species richness between 2 time intervals
(1986–1987 and 2006–2007) and among 4 habitat categoriesa .
Time
Response variable
Coppery brushtail possum
Green ringtail possumb
Herbert River ringtail possumb
Lemuroid ringtail possumb
Lumholtz’s tree-kangaroob
Red-legged pademelonb
Species richness
F 1,14
p
7.87
9.41
0.18
0.95
11.32
15.63
3.94
Time∗ habitat interaction
Habitat
F 3,14
0.014
0.008
0.68
0.35
0.005
0.001
0.067
0.25
0.21
1.07
144.51
4.12
5.36
13.59
p
F 3,14
p
0.86
0.89
0.39
< 0.001
0.027
0.011
< 0.001
0.32
0.36
5.53
2.73
1.90
2.21
1.35
0.81
0.78
0.010
0.084
0.18
0.13
0.30
a Intact
b Data
forest; small (<20-ha) forest fragments; large (>20-ha) fragments; riparian corridors.
log(x+1) transformed.
in 2006–2007. Regressions of species richness against
fragment area were significant, or nearly so, for both
1986–1987 (F 1,8 = 4.21, R2 = 34.5%, p = 0.074) and
2006–2007 (F 1,8 = 7.01, R2 = 46.7%, p = 0.029), but
slopes of the species–area relationship became much
steeper over time (Fig. 3; linear regressions with logtransformed axes). Unlike forest fragments, species richness was constant over time in intact forest (5.8 [0.5]
species) and varied little over time in corridors (2.5 [1.0]
vs. 2.5 [0.6] species in 1986–1987 and 2006–2007, respectively).
On the basis of 1986–1987 data, 3 of the 6 landscape variables were selected as predictors of mammal
species richness in fragments, with best-subsets and multiple regressions. Log species richness increased with log
fragment area and declined with larger corridor gaps and
greater fragment isolation (F 3,9 = 18.08, R2 = 90.0%,
p = 0.002). These same 6 landscape variables were
used to predict species richness in 2006–2007, but the
corridor-gap variable was modified for 4 fragments (numbers 3, 5, 7, and 8; Fig. 1) to reflect changes in the
surrounding matrix vegetation. As before, log species
especially in forest fragments, was apparent in the comparison of species distributions between 1986–1987 and
2006–2007 (Fig. 2).
The most vulnerable species we studied was the
lemuroid ringtail possum (Fig. 2). In 1986–1987 it was
detected in only a single, 27-ha forest fragment (fragment 7, Fig. 1), and its overall abundance in fragments
and corridors declined by 98.2% relative to intact forest.
In 2006–2007 it was never observed in the 27-ha fragment, but a single individual was detected in a 12.8-ha
fragment (fragment 5, Fig. 1) located just 220 m from
intact forest. Compared to intact forest, its abundance in
fragments and corridors decreased by 99.98%.
Species Richness
Mammal species richness declined significantly over time
in forest fragments. Effects were not significant when
small (p = 0.099) and large (p = 0.18) fragments were
evaluated separately (Table 2), but were significant when
data from all fragments were pooled (t = 2.86, df = 9,
p = 0.019; paired t test). Forest fragments averaged 4.4
species (SD 1.0) in 1986–1987, but just 3.5 (1.4) species
Table 2. Paired t tests contrasting species abundances and species richness of rainforest mammals in 4 habitat categoriesa between 1986–1987
and 2006–2007b .
Controlsc
Response variable
Coppery brushtail possum
Green ringtail possume
Herbert River ringtail possume
Lemuroid ringtail possume
Lumholtz’s tree-kangarooe
Red-legged pademelone
Species richness
a Intact
t
−2.88
−1.60
0.61
1.64
−8.70
−2.11
0.00
Large fragmentsd
p
0.064
0.21
0.58
0.20
0.003
0.13
1.00
t
−0.69
−0.88
−4.73
−1.00
−2.34
−2.59
−1.63
p
0.53
0.43
0.009
0.37
0.080
0.061
0.18
forest; small (<20-ha) forest fragments; large (>20-ha) fragments; riparian corridors.
negative t statistic indicates the parameter declined over time.
c n = 4 sites.
d n = 5 sites.
e Data log(x+1) transformed.
bA
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Small fragmentsd
t
−2.77
−2.84
0.79
1.00
0.32
−3.11
−2.14
p
0.050
0.047
0.48
0.37
0.77
0.036
0.099
Corridorsc
t
−1.02
−1.63
2.25
—
−1.22
—
0.00
p
0.38
0.20
0.11
—
0.31
—
1.00
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Laurance et al.
Figure 2. Contrasting abundances (mean
no. individuals/h) of 6 mammal species
across 18 study sites in tropical Queensland,
between 1986–1987 and 2006–2007. The
diagonal lines show y = x.
richness rose with log fragment area, declined with
greater corridor gaps and fragment isolation, and declined with topographic variability (F 3,9 = 13.45, R2 =
91.5%, p = 0.007). In these models, fragment area accounted for less than half (35–47%) of the total variability
in species richness, with measures of fragment connectivity (corridor gaps, fragment isolation) accounting for
another 27–56% of the total variability.
Foraging Heights
In 1986–1987 significant differences in mean foraging
heights were evident among the 5 arboreal species
(Fig. 4). In intact forest, lemuroid ringtails and green ringtails foraged at greater heights than did coppery brushtails and Herbert River ringtails, which in turn foraged
at greater heights than the larger-bodied tree-kangaroos.
In addition, foraging heights of coppery brushtails, green
ringtails, and Herbert River ringtails all shifted downward
in fragments and corridors, relative to intact forest (Laurance 1990).
Despite modest differences between 1986–1987 and
2006–2007, overall patterns were similar between the
2 intervals. No species significantly altered their foraging
heights over time in either fragmented or intact forest, on
the basis of comparisons of 95% CIs (Fig. 4). In 2006–2007
foraging heights varied among arboreal species in intact
forest (F 4,449 = 15.57, p < 0.0001; one-way ANOVA), with
lemuroid ringtails foraging higher than all species except
green ringtails (p < 0.05, Tukey’s test). In addition, coppery brushtails foraged at lower heights in fragments and
corridors than in intact forest (t = 2.21, df = 230, p =
0.028), but differences for the other species were not
significant (all 2-sample t tests).
Discussion
Animal Detectability
The spotlighting surveys we conducted in 1986–1987 and
2006–2007 were both preceded by major cyclones that
caused considerable forest disturbance in our study area
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1160
Figure 3. Species–area relationships for mammals in
rainforest fragments in tropical Queensland;
contrasting patterns in 1986–1987 (species = 3.40
area0.08 ) and 2006–2007 (species = 1.67area0.22 ).
(Laurance 1991b; Laurance & Curran 2008; Turton 2008).
Did these storms affect animal detectability? It has been
suggested that, at least for arboreal possums and treekangaroos in intact forest, the principal effect of the 2006
cyclone was to increase animal detectability because the
damaged forest was more open than undisturbed forest
(Kanowski et al. 2008). The 2006 cyclone caused greater
forest damage than the one in 1986, and we estimate this
damage enhanced animal detectability by approximately
8% in 2006–2007 relative to 1986–1987. Correcting for
this difference had minimal effects on our statistical analyses, and we elected to use uncorrected data because
of a general concern about potentially creating artificial
structure in our data set. One caveat is that the estimated
abundance declines in several species (Table 2) may be
conservative, because animal detectability was somewhat
higher in 2006–2007 than in 1986–1987.
Dynamics of Mammal Assemblages
During our initial survey in 1986–1987, most forest fragments in our study area were already 20–50 years old.
Long-Term Dynamics of Mammals
Over the following 20 years, we documented 5 general
changes in mammal assemblages.
First, species richness of mammals in fragments, which
was already depressed relative to intact forest, declined
even further over time (Fig. 3). This decline was greater
in small than large fragments (Table 2), resulting in a
steeper slope of the species–area relationship in 2006–
2007 (z = 0.22) than in 1986–1987 (z = 0.08). This erosion of species richness mainly resulted from an absence
of green ringtail possums and Lumholtz’s tree-kangaroos
in several smaller (<20-ha) fragments during our latter
survey (Fig. 2). Hence, even in a fragmented landscape
that had experienced almost no additional deforestation,
species richness of larger mammals continued to decline
over time. This decline is consistent with most models of
extinction kinetics, which predict a relatively rapid loss
of forest-dependent species in recently isolated fragments
(Terborgh 1975; Brooks et al. 1999; Watson 2002). Eventually, the pace of species loss is expected to decrease
as fragments approach an “equilibrium” species richness.
In simple island-biogeographic models (MacArthur & Wilson 1967), this equilibrium is determined solely by the
size and isolation of the fragment, which are assumed
to govern the rates of species colonization and extinction in fragments. In reality, however, species losses and
gains in fragments can be strongly influenced by additional factors such as edge effects (Laurance et al. 2002);
human activities, such as logging and hunting (Laurance
& Cochrane 2001); and the dynamics of the surrounding matrix vegetation (Gascon et al. 1999; Laurance &
Laurance 1999).
Second, 4 mammal species, the coppery brushtail possum, green ringtail possum, Herbert River ringtail possum, and red-legged pademelon, declined significantly
in abundance in small (<20-ha) or large (>20-ha) forest
fragments, and the Lumholtz’s tree-kangaroo exhibited a
nearly significant decline (p = 0.08) in large fragments
(Table 2). Among these species, the tree-kangaroo and
Herbert River ringtail are considered the most vulnerable
to fragmentation (Pahl et al. 1988; Laurance 1990), the
former because of its low population density, vulnerability to roadkill, and predation by domestic dogs and dingos
Figure 4. Mean foraging
heights of arboreal
mammals in intact forest
(controls) and in fragments
and stream corridors
(fragments) in 1986–1987
(dark-gray columns) and
2006–2007 (light-gray
columns). Error bars show
95% CIs.
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Laurance et al.
(Newell 1999), and the latter because it is almost strictly
arboreal and highly reticent to cross open habitat (Laurance 1990). In 1986–1987 coppery brushtails and green
ringtails were at least as abundant in fragments as in intact
forest, evidently as a result of their ability to cross relatively small expanses of open ground and dietary requirements that include a mix of secondary- and primary-forest
plant species (Procter-Gray 1984; Laurance 1990; Jones
et al. 2006). Similarly, pademelons are often abundant
in forest fragments and are considered an edge-favoring
species (Vernes et al. 1995). It is unknown why abundances of these species declined in 2006–2007, although
many fragments were heavily disturbed by the 2006 cyclone (Laurance & Curran 2008). We suggest that this
cyclone had a negative effect on mammal communities,
at least in forest fragments where damage was intense
and where resident mammal populations are small, despite a lack of evidence for such an effect in intact forest
(Kanowski et al. 2008).
Third, Lumholtz’s tree-kangaroos declined significantly
in our 4 intact-forest sites (Table 2). The most likely explanation, we believe, is that the spotlighting routes we used
in intact forest had previously been selectively logged,
promoting a temporary flush of pioneer plant species,
some of which are favored by tree-kangaroos (ProcterGray 1984; Newell 1999). Except for control D (which
partly encompassed private land), logging operations in
our intact-forest sites were halted in 1988 when the region was protected as a World Heritage area, and young
pioneer plants declined in these areas. It is also not inconceivable that sampling variation contributed to the
apparent decline of tree-kangaroos, given their relative
rarity, but this seems a less likely cause than successional
changes in intact forest.
Fourth, the lemuroid ringtail possum has nearly vanished from fragmented and regrowth forest in our study
area, with its abundance being just a tiny fraction (0.02%)
of that in nearby intact forest. The lemuroid ringtail
exhibits a suite of traits, such as being strictly arboreal, feeding almost entirely on the leaves of primaryforest trees, and requiring a hollow tree-cavity for daytime denning that makes it particularly vulnerable to forest fragmentation (Pahl et al. 1988; Laurance 1990). A
key factor that predisposes lemuroids to local extinction is their strong reliance on primary forest, which
means that populations in fragments are entirely isolated
and therefore highly vulnerable to random demographic
and genetic effects (Laurance 1990, 1991a). In a survey
of 36 potential faunal corridors on the Atherton Tableland, the lemuroid ringtail was only ever detected in
wide (100–300 m), primary-forest corridors that were directly linked to nearby intact forest (Laurance & Laurance
1999).
Finally, our most surprising finding was the detection
of a lone lemuroid ringtail in a small (12.8-ha) fragment located just 220 m from intact forest (fragment 5, Fig. 1). It
seems inconceivable that a relict population of lemuroids
persisted in this small fragment, which was isolated since
at least 1951 (Pahl 1979). With its brilliant eyeshine, the
lemuroid is the most easily detected of all the mammal
species we encountered, yet it was never previously detected in the fragment despite repeated spotlighting surveys in 1979 (Pahl et al. 1988), 1986–1987 (Laurance
1990) and 1991–1992 (Vernes 1994). In 1986 only a narrow (generally <20 m wide), discontinuous band of regrowth linked the fragment with nearby intact forest.
By 2006, however, this band had coalesced into a much
wider (100–200 m wide) regrowth mosaic with a core of
tall (>25 m) secondary-forest trees. Although lemuroids
have never been detected in regrowth forest (Laurance
1990, 1991a; Laurance & Laurance 1999), the most plausible explanation, we believe, is that one or perhaps a few
individuals recolonized the fragment from nearby intact
forest. Heavy cyclone damage might have contributed to
this by prompting some unusual animal-dispersal movements (J. W. Winter, personal communication).
Conservation Implications
Our results have 2 implications of general importance.
The first is that fragment connectivity appears to play a
key role in the maintenance of mammal species richness. In multiple-regression models, 2 landscape variables describing the size of discontinuities in stream corridors and the distance of fragments from other forest
areas explained from 27% (1986–1987) to 56% (2006–
2007) of the total variation in species richness. Moreover, among these mammal species there is a strong association between matrix tolerance and survival in fragmented forests, with corridor-using species persisting in
many fragments and corridor-avoiding species tending
to decline or disappear (Laurance 1990, 1991a, 1994,
1997).
These trends highlight the importance of faunal corridors for partially mitigating the effects of habitat
fragmentation, a conclusion that accords with other studies of arboreal-mammal assemblages in Australia (Lindemayer et al. 1994; Lindenmayer & Possingham 1996;
Downes et al. 1997). We believe corridor effectiveness
is likely to interact strongly with fragment isolation and
that the most strongly forest-dependent species, such as
the lemuroid ringtail possum, are more likely to use corridors to traverse short rather than long distances (Laurance & Laurance 2003). For vulnerable mammal species
in tropical Queensland, the best corridors will be wide
(>200 m) and continuous; composed of primary forest
(or at least mature, species-rich secondary forest); and occur at higher (>750 m) elevations (Laurance & Laurance
1999). Targeted reforestation efforts are increasingly being used to accelerate the establishment of faunal corridors in fragmented landscapes (Goosem & Tucker 1995;
Tucker & Murphy 1997; Lamb et al. 2005).
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Volume 22, No. 5, 2008
1162
Long-Term Dynamics of Mammals
it suggests that large, intact forest tracts are required to
ensure the long-term persistence of lemuroid ringtails
and other vulnerable wildlife. Moreover, such models do
not consider the strong likelihood that global warming
and atmospheric changes will diminish habitat quality
for cool-adapted, upland-endemic species, such as the
lemuroid ringtail (Hilbert et al. 2001, 2004; Kanowski
2001; Williams et al. 2003), in which case minimum critical areas for population survival might well be much
larger.
Acknowledgments
Figure 5. Estimated time to local extinction for the
lemuroid ringtail possum (Hemibelideus lemuroides)
in tropical Queensland as a function of fragment
area. Error bars indicate the possible range of
fragment ages.
The second key implication is that the most vulnerable species in this region, such as the lemuroid
ringtail possum, musky rat-kangaroo (Hypsiprimnodon
moshcatus), spotted-tailed quoll (Dasyurus maculatus),
Atherton antechinus (Antechinus godmani), and Southern Cassowary (Casuarius casuarius), have disappeared
or declined in forest fragments (<600 ha in area) with
surprising rapidity (Laurance 1997). The kinetics of local
extinction are especially well documented for lemuroid
ringtails because of their high detectability; the wellknown history of forest fragments in our study area (see
Pahl 1979; Laurance 1990, and references therein); and
because arboreal mammals in our fragments were repeatedly surveyed by spotlighting in 1979 (Pahl et al. 1988),
1986–1987 (Laurance 1990, 1991a), and 2006–2007 (this
study). These observations reveal that lemuroids disappeared from a small (1.4-ha) fragment in 3–9 years (Laurance 1990), from a medium-sized (27-ha) fragment in
10–29 years (this study), and from 2 larger (43–75 ha)
fragments in 35–61 years (Laurance 1990). This pattern
suggests a strong effect of fragment area on time to extinction (Fig. 5), which is in agreement with other studies
(Brooks et al. 1999; Ferraz et al. 2003). The curvilinear
relationship in Fig. 5 is best fitted by a power function
(R2 = 84%); linear, logarithmic, and exponential models
provided weaker (R2 < 81%) fits.
Extrapolating from this curve (Fig. 5) implies that an
isolated forest fragment of approximately 300 ha would
be required to increase persistence time of lemuroids to
a century, whereas a far larger fragment (approximately
24,000 ha) is needed to increase persistence time to a
millennium. Obviously this is very rough reckoning, but
Conservation Biology
Volume 22, No. 5, 2008
G. Ferraz, M. Goosem, J. Kanowski, C. Sekercioglu, N.
Sodhi, K. Vernes, and an anonymous referee commented
on the manuscript. We thank the National Geographic
Society and Smithsonian Tropical Research Institute for
financial support; the Wet Tropics Management Authority and Queensland Department of Natural Resources and
Water for access to aerial imagery; and CSIRO Tropical
Forest Research Centre and N. Tucker, T. Tucker, R. Ewers, J. Kanowski, S. Goosem, B. Petit, and M. Stott for
logistical support.
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