ArticlePDF Available

Threatened but not conserved: flying-fox roosting and foraging habitat in Australia

CSIRO Publishing
Australian Journal of Zoology
Authors:
  • Institute of Science and Learning

Abstract and Figures

Conservation relies upon a primary understanding of changes in a species’ population size, distribution, and habitat use. Bats represent about one in five mammal species in the world, but understanding for most species is poor. For flying-foxes, specifically the 66 Pteropus species globally, 31 are classified as threatened (Vulnerable, Endangered, Critically Endangered) on the IUCN Red List. Flying-foxes typically aggregate in colonies of thousands to hundreds of thousands of individuals at their roost sites, dispersing at sunset to forage on floral resources (pollen, nectar, and fruit) in nearby environments. However, understanding of flying-fox roosting habitat preferences is poor, hindering conservation efforts in many countries. In this study, we used a database of 654 known roost sites of the four flying-fox species that occur across mainland Australia to determine the land-use categories and vegetation types in which roost sites were found. In addition, we determined the land-use categories and vegetation types found within the surrounding 25 km radius of each roost, representing primary foraging habitat. Surprisingly, for the four species most roosts occurred in urban areas (42–59%, n = 4 species) followed by agricultural areas (21–31%). Critically, for the two nationally listed species, only 5.2% of grey-headed and 13.9% of spectacled flying-fox roosts occurred in habitat within protected areas. Roosts have previously been reported to predominantly occur in rainforest, mangrove, wetland, and dry sclerophyll vegetation types. However, we found that only 20–35% of roosts for each of the four species occurred in these habitats. This study shows that flying-fox roosts overwhelmingly occurred within human-modified landscapes across eastern Australia, and that conservation reserves inadequately protect essential habitat of roosting and foraging flying-foxes.
Content may be subject to copyright.
Threatened but not conserved: ying-fox roosting and
foraging habitat in Australia
Libby A. Timmiss
A
, John M. Martin
A,B,F
, Nicholas J. Murray
A,C
, Justin A. Welbergen
D
,
David Westcott
E
, Adam McKeown
E
and Richard T. Kingsford
A
A
Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences,
University of New South Wales, Sydney, NSW 2052, Australia.
B
Institute of Science and Learning, Taronga Conservation Society Australia, Bradleys Head Road,
Mosman, NSW 2088, Australia.
C
College of Science and Engineering, James Cook University, Townsville, Qld 4811, Australia.
D
The Hawkesbury institute for the Environment, Western Sydney University, Richmond, NSW 2753, Australia.
E
Commonwealth Scientic and Industrial Research Organisation, 47 Maunds Street, Atherton,
Qld 4883, Australia.
F
Corresponding author. Email: jmartin@zoo.nsw.gov.au
Abstract. Conservation relies upon a primary understanding of changes in a speciespopulation size, distribution, and
habitat use. Bats represent about one in ve mammal species in the world, but understanding for most species is poor.
For ying-foxes, specically the 66 Pteropus species globally, 31 are classied as threatened (Vulnerable, Endangered,
Critically Endangered) on the IUCN Red List. Flying-foxes typically aggregate in colonies of thousands to hundreds of
thousands of individuals at their roost sites, dispersing at sunset to forage on oral resources (pollen, nectar, and fruit) in
nearby environments. However, understanding of ying-fox roosting habitat preferences is poor, hindering
conservation efforts in many countries. In this study, we used a database of 654 known roost sites of the four ying-fox
species that occur across mainland Australia to determine the land-use categories and vegetation types in which roost
sites were found. In addition, we determined the land-use categories and vegetation types found within the surrounding
25 km radius of each roost, representing primary foraging habitat. Surprisingly, for the four species most roosts
occurred in urban areas (4259%, n= 4 species) followed by agricultural areas (2131%). Critically, for the two
nationally listed species, only 5.2% of grey-headed and 13.9% of spectacled ying-fox roosts occurred in habitat within
protected areas. Roosts have previously been reported to predominantly occur in rainforest, mangrove, wetland, and dry
sclerophyll vegetation types. However, we found that only 2035% of roosts for each of the four species occurred in
these habitats. This study shows that ying-fox roosts overwhelmingly occurred within human-modied landscapes
across eastern Australia, and that conservation reserves inadequately protect essential habitat of roosting and foraging
ying-foxes.
Keywords: bat, fruit-bat, pollinator, conservation, threatened species, Pteropus, vegetation community, mammal.
Received 27 October 2020, accepted 8 February 2021, published online 3 March 2021
Introduction
Globally, more than 8500 vertebrate species are threatened
with extinction (IUCN 2020). Habitat destruction and
degradation, as a result of human land use, are largely
considered the driving threats to biodiversity (Chaudhary and
Mooers 2018;PowersandJetz2019). As such, habitat
protection is frequently prioritised in species conservation
planning (Possingham et al.2002;Wintleet al.2019).
However, habitat protection is not always sufcient to ensure
species persistence, and a multitude of approaches are often
necessary for the successful conservation of threatened species
(Hayward 2011). Understanding species habitat requirements
and use remains crucial for developing effective conservation
action plans.
Flying-foxes (Pteropus spp.) roost colonially, typically in
groups of thousands to hundreds of thousands of individuals,
and often in habitat containing relatively large, emergent trees,
close to oral resources for nocturnal foraging (Granek 2002;
Gulraiz et al.2015; Oleksy et al.2015). Of the 66 Pteropus
species globally, six are extinct and 31 are considered at risk
(Vulnerable, Endangered, or Critically Endangered) on the
IUCN Red List (Todd 2019). Four species of ying-fox are
Journal compilation ÓCSIRO 2020 Open Access CC BY-NC-ND www.publish.csiro.au/journals/ajz
CSIRO PUBLISHING
Australian Journal of Zoology, 2020, 68, 226233
https://doi.org/10.1071/ZO20086
native to the Australian mainland: grey-headed (Pteropus
poliocephalus), spectacled (P. conspicillatus), black
(P. alecto), and little red (P. scapulatus)ying-fox. The
grey-headed ying-fox is recognised both nationally and
internationally as Vulnerable to extinction (TSSC 2001;IUCN
2020), and the spectacled ying-fox is nationally Endangered
in Australia (TSSC 2019). Globally, a lack of understanding
regarding ying-fox roosting behaviour and habitat
requirements hinders population assessments and conservation
planning.
Historically, Australian ying-fox roosts have
predominantly been described as associated with natural
habitats including mangroves, wetlands, rainforests and, to a
lesser extent, dry sclerophyll eucalypt (Palmer and Woinarski
1999;Fox2011; McClelland et al.2011). In recent years,
however, colonies have increasingly become associated with
urban landscapes (Williams et al.2006; Plowright et al.2011;
Tait et al.2014). Several urban benetshave been proposed.
These include night-time lighting improving navigation,
altered climatic suitability of urban areas, and a mixture of
native and exotic plants providing more reliable nectar and
fruit resources year-round (Vardon and Tidemann 1999;
McDonald-Madden et al.2005). However, the exact causes for
an increased use of urban areas by ying-foxes are yet to be
determined, as little is known about the roosting and foraging
habitat preferences of ying-foxes in urban environments.
Flying-fox roosts located close to urban areas are
commonly criticised by the public for being loud and odorous,
and posing a disease risk (Edson et al.2015; Currey et al.
2018). Conict can lead to ineffective and potentially
damaging management strategies such as roost dispersal
(Roberts et al.2011; Lentini and Welbergen 2019). Conict
may also occur in agricultural areas, with ying-fox foraging
damaging crops (Divljan et al.2011). These conicts are
exacerbated by patterns of roost occupancy that appear to be
driven by local foraging resources (Giles et al.2016;
Vanderduys et al.2020). At times, local owering can lead to
large temporary inuxes of ying-foxes, which can lead to or
exacerbate conict (Lentini and Welbergen 2019). An extreme
example of this has been observed in response to mast
owering of spotted gum (Corymbia maculata)where
~250 000 grey-headed ying-foxes moved to the Water
Gardens roost located in Batemans Bay, New South Wales,
where the community responded with intense calls for
dispersal of this vulnerable species (Welbergen and Eby 2016).
At present, it is unknown on what basis ying-foxes choose
their roost sites, which renders management agencies unable to
design carrot solutionsthat help reduce conict by creating
more attractive roost sites elsewhere. Understanding the local
distribution of roosts, and how they are selected by the
four mainland Australian ying-fox species can therefore be
highly informative for both the management and conservation
of these species and to inform land managers where
humanwildlife conicts occur.
Flying-foxes provide the ecosystem services of pollination
and seed dispersal to their forage plants (Law 1995; Palmer
et al.2000; Markus and Hall 2004;Parsonset al.2006;Eby
and Law 2008; Hahn et al.2014). Because of the scale of their
movements, ying-foxes are of particular importance in
fragmented landscapes (Welbergen et al.2020). It could be
argued that ying-foxes are ecologically more important in an
anthropogenic landscape, as their foraging behaviour connects
fragmented vegetation (see Westcott et al.2015; Welbergen
et al.2020). Studies assessing ying-foxesforaging
behaviour report that nightly movements predominantly occur
within a 25 km area surrounding roosts (Roberts 2012;
Welbergen unpub. data) and landscape scale movements of up
to 300 km in a night (Welbergen et al.2020).
For the four mainland Australian ying-fox species, we
described the location and species composition of known
diurnal roosts supporting colonies. We then assessed the land
classication of each roost: protected, urban, or agricultural.
We also assessed the vegetation classication associated with
each roost. Lastly, we assessed the land classication and
vegetation type within the surrounding 25 km of each roost.
Methods
The four mainland Australian ying-fox species are distributed
across tropical regions in the north to the warm-temperate
regions of eastern Australia (Fig. 1)(Parishet al.2012). Grey-
headed ying-foxes have the southernmost distribution of any
ying-fox species, spanning from Queensland around to South
Australia (Westcott et al.2011). The black ying-fox is a
predominantly tropical species, ranging the northern coastline
of Australia, and over the past two decades has spread south
from Queensland along the east coast of New South Wales
(Welbergen et al.2008;Robertset al.2012) with vagrant
records in Victoria. Little red ying-foxes have the most
extensive distribution, spanning from Western Australia across
the north of Australia to Queensland and south to Victoria.
Spectacled ying-foxes have the most restricted distribution of
the four species, being found in the wet tropics and Cape York
in north Queensland in Australia (Garnett et al.1999;Fox
2011).
Flying-fox colonial roost data
The National Flying-fox Monitoring Program (NFFMP)
(Westcott et al.2011) has produced a spatial dataset of the
location of known roosts for the four mainland species of
ying-fox across Australia, with a focus on grey-headed and
spectacled ying-fox colonies. As part of the NFFMP, all
known roosts were surveyed quarterly for ying-foxes
between November 2012 and February 2017 (n= 18 surveys).
Roosts were added during the survey period; these could be
newly occupied by ying-foxes or have previously been
occupied but were unknown. A concerted effort was made to
identify and survey all roost locations, this was aided by
concurrent telemetry studies of all species during the
initial years of the NFFMP (Westcott et al.2015; Welbergen
et al.2020). A total of 654 roosts were surveyed across
Australia during the period covered by this study and all roosts
where ying-foxes were observed are included. NFFMP
coverage of parts of north Queensland, the Northern Territory,
and Western Australia was incomplete due to remoteness and
accessibility and as a consequence there were insufcient data
for these areas.
Flying-foxes are threatened but not conserved Australian Journal of Zoology 227
We initially classied each roost as activeor inactive
based on the 18 NFFMP surveys recording the presence of at
least one ying-fox species within the sampling period; only
active roosts were included in analyses (n=430)
(Table 1). Surveys were conducted at all locations known to
have had colonial roosting over recent decades, and thus some
roosts were not used by ying-foxes at all within the sampling
period. Data from active roosts were then categorised into
single- and mixed-species colonies across the sampling period.
This resulted in three datasets for each species: (1) all locations
where a species occurred (total active roosts); (2) all locations
where only a single species was recorded (single-species
roosts); and (3) all locations where two or more species were
recorded (mixed-species roosts).
Spatial data
To identify the land use categories that coincided with the
location of active ying-fox roosts across Australia, we
developed a land use map by combining data from Land Use of
Australia 201011 and the Collaborative Australian Protected
Areas Database (CAPAD) 2014 (Supplementary Material,
Table S1). Where conicting land use categories occurred, we
used the land use classication from the more recent
CAPAD. The Land Use of Australia dataset contained 18
categories. We combined these into seven broad categories:
protected areas; minimal use; grazing and native vegetation;
forestry; agriculture; urban; and mining and waste. This
dataset was used to identify the number of active roosts located
within each of these land use categories. We manually
inspected all data points that returned no data or water values at
the roost location (n= 17); using satellite imagery, as well as
proximate data to inform our decisions, we assigned a land use
category to these locations.
Roost land use and vegetation
We used the National Vegetation Information System (NVIS)
data with Present Major Vegetation Groups (DEWR 2007), to
assess the primary vegetation types in which ying-fox roosts
Spectacled flying-fox
Black flying-fox
Little red flying-fox
Grey-headed flying-fox
NT
QLD
N
WA
SA
NSW
ACT
VIC
TA S
0 500 1000 2000 Km
Fig. 1. Distribution of the four mainland Australian ying-fox species. Map by Pia Lentini 2018.
Table 1. Number of active, mixed- and single-species ying-fox roosts
identied during 18 quarterly surveys, 20122017
Species Total
active roosts
Mixed-species
roosts
Single-species
roosts
All roosts 430 266 (61.7%) 164 (38.3%)
Grey-headed ying-fox 310 232 (74.8%) 78 (25.2%)
Black ying-fox 291 247 (84.6%) 44 (15.4%)
Little red ying-fox 156 141 (90.4%) 15 (9.6%)
Spectacled ying-fox 36 9 (25%) 27 (75%)
228 Australian Journal of Zoology L. A. Timmiss et al.
were located nationally (Supplementary Material, Table S1).
We used this dataset to determine vegetation type at the roost
location (point), as well as the proportion of vegetation types
within the surrounding 25 km area (buffer; see below). The
NVIS data contained 33 categories; however, only 18
categories were identied in association with roost locations,
and thus other categories were not reported for simplicity. As
ying-fox roosts sometimes occur in aquatic habitat
(e.g. mangroves, wetland) or riparian vegetation, we manually
inspected all data points assigned as waterat the roost
location. Using satellite imagery and proximate data to inform
our decisions, we assigned a vegetation type to these locations,
as well as any location returning no data(n=28).
Foraging (buffer) land use and vegetation
We assessed the land use category and vegetation composition
within the 25 km area (primary foraging habitat; buffer)
surrounding roosts, representing ying-foxesnocturnal
foraging range (Roberts 2012; Welbergen, unpub. data). Of the
33 vegetation types present within the 25 km buffer region
surrounding each roost, three vegetation categories (mallee
woodland and shrublands,other open woodlands,andother
grasslands, herblands, shrublands) were not recorded within
buffers and were therefore excluded from further analyses. All
other categories were recorded within buffers. We added an
oceanic water category to our land use category dataset, using
World Water Bodies data (Supplementary Material, Table S1),
to accurately differentiate between the proportion of buffers
for coastal roosts for which there were no data, and what was
simply ocean. Waterand no datavalues were retained for
buffer calculations.
Analysis
Spatial datasets (Supplementary Material, Table S1) were
imported into ArcGIS 10.4, using standard tools to change
projections to Geocentric Datum of Australia 1994 where
necessary. We extracted values of all variables for each active
roost location for the four species at two spatial scales: at the
roost (point) and within a 25 km radius (buffer). A 25 km
radius was chosen to reect the main foraging zone around a
colony, which corresponds to nocturnal tracking surveys of
these species (Roberts 2012; Welbergen, unpub. data).
To identify how the location of colonies was related to land
use and vegetation type, we intercepted colony location with
land use and NVIS data. We calculated the percentage of the
25 km buffer made up by each land use and vegetation
category for each colony using Tabulate Intersectiontools in
ArcGIS. Descriptive statistics were calculated using standard
tools in R software (R Core Team 2017).
Results
Of the 654 roost sites in our dataset, grey-headed ying-foxes
were recorded at 310 roosts, black ying-foxes at 291 roosts,
little red ying-foxes at 156 roosts, and spectacled ying-foxes
at 36 roosts (Tables 1,2). In total, 430 active roosts were
identied over the 5-year period (20122017) through the
NFFMP. Of these, 61.7% were mixed-species roosts
(Table 1). The most common species compositions at mixed-
species roosts were grey-headed and black ying-foxes
(n= 124), followed by grey-headed, black, and little red ying-
foxes (n= 94) (Table 3).
Land use associated with roosts
The more common land use categories associated with all
species of ying-fox roosts were urban (55.1%) and
agricultural (23.5%) land (Table 4). Protected land accounted
for only 6.7% of roost locations. Land use of the remaining
roosts was classied as: minimal use(6%), mining and
waste(0.2%), forestry(1.2%), and grazing, native
vegetation(7.2%) (Table 4). At the species level, few roosts
were in protected areas: grey-headed (5.2%), black (6.2%),
little red (3.8%) and spectacled ying-fox (13.9%)
(Table 4). For the four species, most roosts were classied as
urban land use: grey-headed (58.7%), black (59.1%), little red
(54.5%), and spectacled ying-fox (41.7%) (Table 4).
The land use classication within the 25 km radius
surrounding ying-fox roosts was diverse, but predominantly
comprised agricultural (24.6%), urban (14.4%), and protected
(14%) land (Table 5). Agricultural land was the most common
land use category within the buffers around grey-headed
(25.2%), black (23.1%), and little red (32.9%) ying-fox
roosts. However, protected land was the most common land
use category within the buffers around spectacled ying-fox
roosts (36%) (Table 5). Urban areas represented a smaller
proportion of buffers for each species: grey-headed (17.5%),
Table 2. Jurisdictions in which ying-fox roosts were identied during
18 quarterly surveys, 20122017
Note: no data were available for Western Australia
Species Qld NSW Vic. SA NT ACT
All roosts 256 153 15 1 4 1
Grey-headed ying-fox 152 141 15 1 0 1
Black ying-fox 205 83 0 0 3 0
Little red ying-fox 110 40 3 0 3 0
Spectacled ying-fox 36 0 0 0 0 0
Table 3. Mixed-species composition and number of ying-fox roosts
identied during 18 quarterly surveys, 20122017
Species composition No. of roosts
Two species
Grey-headed and black 124
Grey-headed and little red 12
Grey-headed and spectacled 1
Black and little red 27
Black and spectacled 0
Little red and spectacled 6
Three species
Grey-headed, black and little red 94
Grey-headed, little red and spectacled 0
Black, little red and spectacled 1
Four species
Grey-headed, black, little red and spectacled 1
Flying-foxes are threatened but not conserved Australian Journal of Zoology 229
black (16.6%), little red (11.6%), and spectacled ying-fox
(2.9%) (Table 5).
Vegetation associated with roosts
The most common vegetation class associated with ying-fox
roosts was cleared, non-native vegetation, buildings(59.8%)
(Supplementary Material, Table S2), which we conrmed
largely corresponded to urban and agricultural land. This
vegetation class was the most common for all species: grey-
headed (57.4%), black (64.3%), little red (66.7%), and
spectacled ying-fox (58.3%) (Supplementary Material,
Table S2). Relatively few roosts were in the vegetation
categories typically reported in the literature (Supplementary
Material, Table S2), such as rainforest and vine thickets
(8.4%), melaleuca forests and woodlands(5.3%),
mangroves(5.1%), and eucalypt-dominated categories
(17.3%; includes: eucalypt open forest8.1%, eucalypt
woodlands6.7%, eucalypt tall open forest2.1%, eucalypt
low open forest0.2%, tropical eucalyptus woodlands/
grasslands0.2%).
The most common vegetation class associated with the
25 km foraging range (buffer) surrounding ying-fox roosts
was cleared, non-native vegetation, buildings(43.7%)
(Supplementary Material, Table S3). Cleared, non-native
vegetation, buildingsalso represented the largest proportion
of the 25 km buffer areas for grey-headed (47.1%), black
(46.5%), and little red (48%) ying-fox roosts. However,
rainforests and vine thicketsrepresented the largest
proportion of buffers for spectacled ying-fox roosts (27.2%)
(Supplementary Material, Table S3). Native vegetation
categories accounted for the next largest proportion of buffer
areas for all roosts: combined eucalyptdominated categories
(23.8%), rainforest and vine thickets(5.0%), melaleuca
forest and woodlands(1.0%), mangroves(0.8%)
(Supplementary Material, Table S3).
Discussion
This study highlights a serious lack of protection of roosting
and foraging habitat for all four Australian mainland ying-fox
species. Given the major role that roost sites play in the life
of ying-foxes, protecting roosting and foraging habitat is
considered a central component of ying-fox conservation
and management. In contrast, however, only 13.9% of the
roosts of the Endangered spectacled ying-fox and 5.2% of the
Vulnerable grey-headed ying-fox were in protected areas.
This also applied to the two non-listed species, with only 3.8%
of little red and 6.2% of black ying-fox roosts in protected
areas. Likewise, within the 25 km foraging range surrounding
roosts of grey-headed, black, and little red ying-foxes, only
15%oflandusewasclassied as protected areas. However,
Table 4. Land use categories of ying-fox roosts assessed during 18 quarterly surveys, 20122017
Note: more than one species can be recorded at a roost (see Table 3)
Land use category All roosts
(n= 430)
Grey-headed
ying-fox
(n= 310)
Black
ying-fox
(n= 291)
Little red
ying-fox
(n= 156)
Spectacled
ying-fox
(n= 36)
Protected 29 (6.7%) 16 (5.2%) 18 (6.2%) 6 (3.8%) 5 (13.9%)
Urban 237 (55.1%) 182 (58.7%) 172 (59.1%) 85 (54.5%) 15 (41.7%)
Agricultural 101 (23.5%) 70 (22.6%) 61 (21%) 43 (27.6%) 11 (30.6%)
Minimal use 26 (6%) 19 (6.1%) 13 (4.5%) 9 (5.8%) 2 (5.5%)
Grazing and native vegetation 31 (7.2%) 18 (5.8%) 24 (8.2%) 13 (8.3% 3 (8.3%)
Forestry 5 (1.2%) 5 (1.6%) 2 (0.7%) 0 0
Mining and waste 1 (0.2%) 0 1 (0.3%) 0 0
Table 5. Land use category within the 25 km foraging habitat (buffer) around ying-fox roosts identied during 18 quarterly surveys, 20122017
Land use category All roosts
(n= 430)
Grey-headed
ying-fox
(n= 310)
Black
ying-fox
(n= 291)
Little red
ying-fox
(n= 156)
Spectacled
ying-fox
(n= 36)
Mean ± s.d. Mean ± s.d. Mean ± s.d. Mean ± s.d. Mean ± s.d.
Protected 14.02 ± 11.93 12.66 ± 9.10 11.29 ± 8.31 10.26 ± 9.67 35.96 ± 14.70
Urban 14.43 ± 17.08 17.15 ± 18.28 16.62 ± 17.34 11.60 ± 15.36 2.90 ± 2.47
Agricultural 24.57 ± 22.15 25.19 ± 21.57 23.13 ± 20.18 32.90 ± 26.45 13.34 ± 9.33
Minimal use 6.80 ± 3.80 7.10 ± 3.85 7.31 ± 3.63 6.45 ± 3.85 5.82 ± 3.23
Grazing and native vegetation 13.70 ± 12.15 12.70 ± 8.94 14.56 ± 11.55 17.94 ± 15.07 8.78 ± 11.56
Forestry 4.46 ± 6.94 4.64 ± 7.24 3.88 ± 6.70 4.52 ± 7.54 5.96 ± 4.99
Mining and waste 0.14 ± 0.34 0.16 ± 0.38 0.15 ± 0.32 0.14 ± 0.45 0.01 ± 0.02
Water (inland) 1.02 ± 1.43 1.09 ± 1.55 0.88 ± 1.17 0.88 ± 1.31 0.85 ± 0.78
Water (oceanic) 20.17 ± 20.32 18.65 ± 19.42 21.39 ± 20.90 14.79 ± 19.64 25.74 ± 18.95
No data 0.69 ± 0.79 0.66 ± 0.80 0.80 ± 0.87 0.52 ± 0.74 0.64 ± 0.40
230 Australian Journal of Zoology L. A. Timmiss et al.
protected land was the largest category surrounding spectacled
ying-fox roosts (36%). The lack of habitat protection and
relative importance of anthropogenic landscapes for the four
species highlights the need to consider the human dimensions
of humanwildlife conict for sound management and
conservation of Australiasying-foxes (Kung et al.2015;
Currey et al.2018).
More than half of grey-headed, black, and little red ying-
fox roosts and over a third of spectacled ying-fox roosts were
located in land uses categorised as urban. Since the 1800s
many Australians have viewed ying-foxes as unwelcome in
agricultural areas (Ratcliffe 1938). Over recent decades,
humanwildlife conict in urban areas has increased, with
some colonies dispersed by human intervention (Ruffell et al.
2009;Robertset al.2011; Currey et al.2018). Such dispersals
have rarely been successful, given our poor understanding
of the factors driving roost use (see Welbergen et al.2020)and
establishment. This study showed that, across eastern
Australia, ying-fox roosts occurred overwhelmingly in
human-modied landscapes and not in protected areas. As a
consequence, a conservation approach that primarily focuses
on protected areas can only poorly protect ying-fox roosts.
Given that our data suggested Australian ying-fox species
predominantly roost in urban areas, and other data that indicate
this may be increasing (Tait et al.2014), conservation
strategies need to be multifaceted, addressing roost habitat
protection outside formally protected areas along with public
perception and education.
Of the 430 roosts assessed in this study, most were in
human-modied vegetation, categorised as cleared, non-
native vegetation, buildings, and were located across eastern
Australia. This nding dramatically revises our understanding
of the preferred roosting vegetation used by ying-foxes in
Australia. After modied habitats, roosts were predominantly
in rainforests, woodlands, and mangroves, which align more
closely with the established vegetation selected for ying-fox
roosts (Palmer and Woinarski 1999;Fox2011; McClelland
et al.2011). These native vegetation communities were again
prominent within the 25 km buffer surrounding roosts and
contain the plant species most likely to benet from the
landscape scale ecosystem services (pollination and seed
dispersal) provided by ying-foxes (Eby and Law 2008).
The data presented cover the known distribution for the
grey-headed ying-fox (Parish et al.2012) but inadequately
incorporated distributions of the black and little red ying-fox;
both species also occur across northern and north-western
Australia, which were poorly sampled, and are likely to
support a larger number of roosts in natural areas.
Furthermore, our current understanding fails to consider the
wider distribution of the spectacled ying-fox, into Papua New
Guinea, and the black ying-fox into Papua New Guinea and
Indonesia. Critically, there are also limited data available on
how the location of roosts and ying-fox species assemblages
have changed over recent decades. The distribution of ying-
fox species is highly variable, exemplied by shifts in black
and grey-headed ying-foxes in recent years (Roberts et al.
2012). To improve conservation planning, and community
education, further information on the dynamics of occupancy
of roosts (Meade et al.2019;Welbergenet al.2020)andhow
these are related to changes in the surrounding landscape
(Giles et al.2016) would be informative. In addition, an
evaluation of ying-foxesecosystem services (pollination and
seed dispersal), relevant to maintaining healthy forests (see
Fujita and Tuttle 1991), could benet initatives to enhance
conservation efforts.
Unsurprisingly, given the overlapping distributions of the
ying-fox species, roost locations predominantly supported
multiple species, with relatively few observations of single-
species roosts. The NFFMP focussed on the two listed species
but complementary observations of black and little red ying-
foxes across their distribution were documented; further
research is needed. The NFFMP and telemetry studies
(Westcott et al.2015;Welbergenet al.2020) identied many
previously unknown roosts. Discovering and monitoring
these roosts should improve ying-fox population estimates
(Westcott et al.2011,2015), and further enhance our
understanding of the roost habitat preferences of the species. It
must be noted that the data presented and the effort to identify
roosts was extensive, yet it is inevitable that some roosts
remain unidentied and new roosts form and are not detected
in response to the availability of local food resources. An
increasingly concerning threat to ying-foxes are mass die-
offs associated with extreme temperature events exacerbated
by climate change (Welbergen et al.2008,2014). Combining
land use and vegetation data at known roost locations with
weather forecasts could further improve predictions of the
likelihood and severity of heat stress events on ying-fox
colonies (Ratnayake et al.2019) by accounting for the thermal
buffering properties of land use categories and vegetation
types. Increasing our understanding of the factors driving
ying-fox habitat selection, and how these vary seasonally and
annually, are integral to the recovery and long-term
conservation of ying-foxes in Australia.
Conclusion
We demonstrated that, in eastern Australia, ying-foxes were
predominantly using human-modied landscapes to roost and
forage. This nding demonstrates ying-foxesadaptability,
and suggests that in Australia this group of species may be
more resilient to habitat change than species that are entirely
dependent upon undisturbed habitat. The reasons for ying-
foxesadaptation to modied landscapes are poorly
understood, yet it creates key challenges for ying-fox
management and conservation. This highlights the need for
better understanding of the drivers of ying-fox urbanisation
and the consideration of human dimensions in the management
and conservation of these iconic species. Flying-foxes provide
unique landscape-scale pollen and seed dispersal services,
particularly connecting Australias increasingly fragmented
forest ecosystems, thus enhanced protection of the ecological
services they provide should be a conservation priority.
Critically, conservation of the two listed species in Australia,
the spectacled and grey-headed ying-foxes, is poorly
represented by protected areas, and roosts and individuals are
exposed to humanwildlife conict in the human-modied
landscapes where the species increasingly occur (Williams
et al.2006; Plowright et al.2011;Taitet al.2014). Future
Flying-foxes are threatened but not conserved Australian Journal of Zoology 231
research should assess what drives ying-foxes to shift
towards anthropogenic areas, as knowledge of such drivers
will be key for informing policy and practice to better manage
and conserve these species, especially in human-modied
landscapes. Lastly, future research should assess ying-fox
colony size and breeding with respect to land use to inform
roost conservation planning.
Conicts of interest
Justin Welbergen is a guest Associate Editor. Despite this
relationship, he did not at any stage have editor-level access to
this manuscript while in peer review, as is the standard practice
when handling manuscripts submitted by an editor of this journal.
The authors have no further conicts of interest to declare.
Acknowledgements
We thank all of the staff and volunteers that contributed to the National
Flying Fox Monitoring Program. Funding for the National Flying Fox
Monitoring Program was granted to CSIRO from the Commonwealth and
State governments. The necessary research permits were managed by
CSIRO and associated government partners.
References
Chaudhary, A., and Mooers, A. (2018). Terrestrial vertebrate biodiversity
loss under future global land use change scenarios. Sustainability 10,
2764. doi:10.3390/su10082764
Currey, K., Kendal, D., van der Ree, R., and Lentini, P. E. (2018). Land
manager perspectives on conict mitigation strategies for urban ying-
fox camps. Diversity 10, 39. doi:10.3390/d10020039
Department of the Environment and Water Resources (DEWR) (2007).
Australias native vegetation: a summary of Australias major vegetation
groups. Australian Government, Canberra, ACT. Available at:
http://www.environment.gov.au/resource/australiasnative-vegetation-
summary-australias-major-vegetation-groups [accessed 10 April 2017].
Divljan, A., Parry-Jones, K., and Eby, P. (2011). Deaths and injuries to grey-
headed ying-foxes, Pteropus poliocephalus shot at an orchard near
Sydney, New South Wales. Australian Zoologist 35, 698710.
doi:10.7882/AZ.2011.022
Eby, P., and Law, B. S. (2008). Ranking the feeding habitat of grey-headed
ying-foxes for conservation management. Department of Environment,
Heritage, Water and the Arts: Canberra.
Edson, D., Field, H., Mcmichael, L., Jordan, D., Kung, N., Mayer, D., and
Smith, C. (2015). Flying-fox roost disturbance and Hendra virus spillover
risk. PLoS One 10, e0125881. doi:10.1371/journal.pone.0125881
Fox, S. (2011). The Spectacled ying-fox: a review of past and present
knowledge. In The Biology and Conservation of Australasian Bats.
(Eds B. Law, L. Lumsden, D. Lunney, and P. Eby.) pp. 136145. (Royal
Zoological Society of New South Wales: Mosman, NSW.)
Fujita, M. S., and Tuttle, M. D. (1991). Flying Foxes (Chiroptera:
Pteropodidae): threatened animals of key ecological and economic
importance. Conservation Biology 5, 455463. doi:10.1111/j.1523-
1739.1991.tb00352.x
Garnett, S., Whybird, O., and Spencer, H. (1999). The conservation status
of the spectacled ying-fox Pteropus conspicillatus in Australia.
Australian Zoologist 31,3854. doi:10.7882/AZ.1999.006
Giles, J. R., Plowright, R. K., Eby, P., Peel, A. J., and McCallum, H. (2016).
Models of eucalypt phenology predict bat population ux. Ecology and
Evolution 6, 72307245. doi:10.1002/ece3.2382
Granek, E. (2002). Conservation of Pteropus livingstonii based on roost
site habitat characteristics on Anjouan and Moheli, Comoros islands.
Biological Conservation 108,93100. doi:10.1016/S0006-3207(02)
00093-9
Gulraiz, T. L., Javid, A., Mahmood-Ul-Hassan, M., Maqbool, A., Ashraf,
S., Hussain, M., and Daud, S. (2015). Roost characteristics and habitat
preferences of Indian ying-fox (Pteropus giganteus) in urban areas of
Lahore, Pakistan. Turkish Journal of Zoology 39,388394.
doi:10.3906/zoo-1401-71
Hahn, M. B., Epstein, J. H., Gurley, E. S., Islam, M. S., Luby, S. P.,
Daszak, P., and Patz, J. A. (2014). Roosting behaviour and habitat
selection of Pteropus giganteus reveal potential links to Nipah virus
epidemiology. Journal of Applied Ecology 51,376387. doi:10.1111/
1365-2664.12212
Hayward, M. W. (2011). Using the IUCN Red List to determine effective
conservation strategies. Biodiversity and Conservation 20, 25632573.
doi:10.1007/s10531-011-0091-3
IUCN (2020). The IUCN Red List of Threatened Species. Version 20202.
Available at: https://www.iucnredlist.org [accessed 9 August 2020].
Kung, N. Y., Field, H. E., Mclaughlin, A., Edson, D., and Taylor, M. (2015).
Flying-foxes in the Australian urban environment community attitudes
and opinions. One Health 1,2430. doi:10.1016/j.onehlt.2015.07.002
Law, B. S. (1995). The ecology of bats in south-east Australian forests and
potential impacts of forestry practices: a review. Pacic Conservation
Biology 2, 363374. doi:10.1071/PC960363
Lentini, P. E., and Welbergen, J. A. (2019). Managing tensions around
urban ying-fox roosts. Austral Ecology 44,380385. doi:10.1111/
aec.12738
Markus, N., and Hall, L. (2004). Foraging behaviour of the black ying-fox
(Pteropus alecto) in the urban landscape of Brisbane, Queensland.
Wildlife Research 31, 345355. doi:10.1071/WR01117
McClelland, K. L., Fleming, P. J. S., and Malcolm, P. J. (2011). Grey-
headed ying-foxes in orchards: a collaborative project on damage
estimates, contributing factors and mitigation strategies triumphs and
tribulations of ying-fox conservation and management in NSW. In
The Biology and Conservation of Australasian Bats.(EdsB.Law,
L. Lumsden, D. Lunney, and P. Eby.) pp. 391398. (Royal Zoological
Society of New South Wales: Mosman, NSW.)
McDonald-Madden, E., Schreiber, E. S. G., Forsyth, D. M., Choquenot, D.,
and Clancy, T. F. (2005). Factors affecting grey-headed ying-fox
(Pteropus poliocephalus: Pteropodidae) foraging in the Melbourne
metropolitan area, Australia. Austral Ecology 30, 600608. doi:10.1111/
j.1442-9993.2005.01492.x
Meade, J., van der Ree, R., Stepanian, P. M., Westcott, D. A., and Welbergen,
J. A. (2019). Using weather radar to monitor the number, timing and
directions of ying-foxes emerging from their roosts. Scientic Reports
9, 10222. doi:10.1038/s41598-019-46549-2
Oleksy, R., Racey, P. A., and Jones, G. (2015). High-resolution GPS tracking
reveals habitat selection and the potential for long-distance seed dispersal
by Madagascan ying-foxes Pteropus rufus.Global Ecology and
Conservation 3, 678692. doi:10.1016/j.gecco.2015.02.012
Palmer, C., and Woinarski, J. C. Z. (1999). Seasonal roosts and foraging
movements of the black ying fox (Pteropus alecto) in the Northern
Territory: resource tracking in a landscape mosaic. Wildlife Research
26,823838. doi:10.1071/WR97106
Palmer, C., Price, O., and Bach, C. (2000). Foraging ecology of the black
ying-fox (Pteropus alecto) in the seasonal tropics of the Northern
Territory, Australia. Wildlife Research 27, 169178. doi:10.1071/
WR97126
Parish, S., Richards, G., and Hall, L. (2012). A Natural History of Australian
Bats: Working the Night Shift.(CSIRO Publishing: Melbourne.)
Parsons, J. G., Cairns, A., Johnson, C. N., Robson, S. K., Shilton, L. A., and
Westcott, D. A. (2006). Dietary variation in spectacled ying-foxes
(Pteropus conspicillatus) of the Australian Wet Tropics. Australian
Journal of Zoology 54, 417428. doi:10.1071/ZO06092
Plowright, R. K., Foley, P., Field, H. E., Dobson, A. P., Foley, J. E., Eby,
P., and Daszak, P. (2011). Urban habituation, ecological connectivity
and epidemic dampening: the emergence of Hendra virus from ying
foxes (Pteropus spp.). Proceedings of the Royal Society of London.
Series B, Biological Sciences 278, 37033712. doi:10.1098/
rspb.2011.0522
232 Australian Journal of Zoology L. A. Timmiss et al.
Possingham, H. P., Andelman, S. J., Burgman, M. A., Medellín, R. A.,
Master, L. L., and Keith, D. A. (2002). Limits to the use of threatened
species lists. Trends in Ecology & Evolution 17, 503507. doi:10.1016/
S0169-5347(02)02614-9
Powers, R. P., and Jetz, W. (2019). Global habitat loss and extinction risk
of terrestrial vertebrates under future land-use-change scenarios.
Nature Climate Change 9,323329. doi:10.1038/s41558-019-
0406-z
R Core Team (2017). R: a language and environment for statistical
computing. R Foundation for Statistical Computing, Vienna, Austria.
Available at: www.R-project.org/
Ratcliffe, F. (1938). Flying Foxes and Drifting Sands.(Sirius Book
Publication: Sydney, Australia and London, England.)
Ratnayake, H. U., Kearney, M. R., Govekar, P., Karoly, D., and Welbergen,
J. A. (2019). Forecasting wildlife die-offs from extreme heat events.
Animal Conservation 22, 386395. doi:10.1111/acv.12476
Roberts, B. (2012). The ecology and management of the grey-headed
ying-fox Pteropus poliocephalus. Ph.D. Thesis, Grifth University,
Brisbane, Australia.
Roberts, B. J., Eby, P., Catterall, C. P., Kanowski, J., and Bennett,
G. (2011). The outcomes and costs of relocating ying-fox camps:
insights from the case of Maclean, Australia. In The Biology and
Conservation of Australasian Bats. (Eds B. Law, L. Lumsden,
D. Lunney, and P. Eby.) pp. 277287. (Royal Zoological Society of
New South Wales: Mosman, NSW.)
Roberts, B. J., Catterall, C. P., Eby, P., and Kanowski, J. (2012).
Latitudinal range shifts in Australian ying-foxes: a re-evaluation.
Austral Ecology 37,1222. doi:10.1111/j.1442-9993.2011.
02243.x
Ruffell, J., Guilbert, J., and Parsons, S. (2009). Translocation of bats as a
conservation strategy: previous attempts and potential problems.
Endangered Species Research 8,2531. doi:10.3354/esr00195
Tait, J., Perotto-Baldivieso, H. L., Mckeown, A., and Westcott, D. A. (2014).
Are ying-foxes coming to town? Urbanisation of the spectacled ying-
fox (Pteropus conspicillatus) in Australia. PLoS One 9, e109810.
doi:10.1371/journal.pone.0109810
Threatened Species Scientic Committee (2001). Commonwealth Listing
Advice on Pteropus poliocephalus (grey-headed ying-fox). Department
of the Environment and Energy, Canberra, ACT. Available at: http://
www.environment.gov.au/biodiversity/threatened/species/p-poliocephalus.
html
Threatened Species Scientic Committee (2019). Conservation advice:
Pteropus conspicillatus spectacled ying-fox. Department of the
Environment and Energy, Canberra, ACT. Available at: http://
www.environment.gov.au/biodiversity/threatened/species/pubs/185-
conservation-advice-22022019.pdf
Todd, C. M. (2019). The ecology and conservation of the Christmas Island
ying-fox (Pteropus natalis). Ph.D. Thesis, Western Sydney University.
Available at: http://hdl.handle.net/1959.7/uws:57389
Vanderduys, E., Macdonald, S. L., McKeown, A., Norris, E., Hoskins,
A. J., Bradford, M., and Westcott, D. A. (2020). Testing hypotheses for
urban roosting by the little red ying-fox (Pteropus scapulatus). In
The Little Red Flying-fox: Ecology and Management of Australias
Most Abundant and Enigmatic Flying-fox. Report to Queensland
Department of Environment and Science. (Eds D. Westcott et al.)
pp. 324373. (CSIRO.)
Vardon, M. J., and Tidemann, C. R. (1999). Flying-foxes (Pteropus alecto
and P. scapulatus) in the Darwin region, north Australia: patterns in
camp size and structure. Australian Journal of Zoology 47,411423.
doi:10.1071/ZO99022
Welbergen, J. A., and Eby, P. (2016). Not in my backyard? How to live
alongside ying-foxes in urban Australia. The Conversation. Available
at: http://theconversation.com/not-in-my-backyard-how-to-live-alongside-
ying-foxes-in-urban-australia-59893
Welbergen, J. A., Klose, S. M., Markus, N., and Eby, P. (2008). Climate
change and the effects of temperature extremes on Australian ying-
foxes. Proceedings of the Royal Society of London. Series B, Biological
Sciences 275, 419. doi:10.1098/rspb.2007.1385
Welbergen, J. A., Booth, C., and Martin, J. M. (2014). Killer climate: tens of
thousands of ying foxes dead in a day. The Conversation. Available at:
http://theconversation.com/killer-climate-tens-ofthousands-of-ying-
foxes-dead-in-a-day-23227
Welbergen, J. A., Meade, J., Field, H., Edson, D., McMichael, L., Shoo, L. P.,
Praszczalek, J., Smith, C., and Martin, J. M. (2020). Extreme mobility of
the worlds largest ying mammals creates key challenges for
management and conservation. BMC Biology 18, 101. doi:10.1186/
s12915-020-00829-w
Westcott, D. A., Mckeown, A., Murphy, H. T., and Fletcher, C. S. (2011). A
monitoring method for the grey-headed ying-fox, Pteropus
poliocephalus. CSIRO Published Guidelines.
Westcott, D. A., McKeown, A., Parry, H., Parsons, J., Jurdak, R., Kusy, B.,
Sommer, P., Zhao, K., Dobbie, M., Heersink, D., and Caley, P. (2015).
Implementation of the national ying-fox monitoring program. Rural
Industries Research and Development Corporation, Canberra.
Williams, N. S. G., Mcdonnell, M. J., Phelan, G. K., Keim, L. D., and van der
Ree, R. (2006). Range expansion due to urbanization: increased food
resources attract grey-headed ying-foxes (Pteropus poliocephalus)to
Melbourne. Austral Ecology 31, 190198. doi:10.1111/j.1442-9993.
2006.01590.x
Wintle, B. A., Kujala, H., Whitehead, A., Cameron, A., Veloz, S.,
Kukkala, A., Moilanen, A., Gordon, A., Lentini, P. E., Cadenhead,
N. C. R., and Bekessy, S. A. (2019). Global synthesis of conservation
studies reveals the importance of small habitat patches for
biodiversity. Proceedings of the National Academy of Sciences of
the United States of America 116,909914. doi:10.1073/pnas.
1813051115
Handling Editor: Paul Cooper
Flying-foxes are threatened but not conserved Australian Journal of Zoology 233
www.publish.csiro.au/journals/ajz
... In the last few decades, flying-fox roosts in eastern Australia have increasingly formed in urban areas (Timmiss et al. 2021;Yabsley et al. 2021). Associated impacts on communities, such as effects on amenity from the noise, odour and faeces from flying-fox roosts (Hall 2002;McKinnon et al. 2002;Smith 2002;West 2002) and disturbance from foraging flyingfoxes visiting backyard fruit trees (Lunney et al. 2002), have subsequently become more widespread. ...
... This has been done in the case of some threatened species that rely on the general public having minimal to no knowledge of the species' locations of occupancy for the species' protection (Meijaard and Nijman 2014;Lindenmayer and Scheele 2017;Mo et al. 2023b). However, flying-foxes are highly visible in urban areas (Mo et al. 2023a), with most of their roosts occurring outside of protected reserves (Timmiss et al. 2021) and recent research showing them to be strongly reliant on resources afforded by urban areas Yabsley et al. 2021). Substantial public, political and media interest is therefore drawn to flying-foxes, and there is no avoiding the need for public support of flying-foxes for their future conservation. ...
Article
Full-text available
Negative public attitudes toward particular species can have significant impact on their conservation. Traditional approaches to improving public perceptions of flying-foxes include defending them, encouraging co-existence with them and promoting empathy for them following publicised mortality events. We propose a shift toward “normalising” flying-foxes, in which they are portrayed as interesting species and a natural part of our highly esteemed biodiversity. This has somewhat already begun in a piecemeal fashion, and we provide examples of flying-foxes being represented in a range of formats, including museum and photography exhibitions, public artwork and street décor, books, preschool and school education, wildlife-based tourism and community events. However, there remains paucity in flying-foxes being represented alongside portrayals of Australian wildlife at a broader scale. We suggest that proponents fearing public backlash or impacts on market responses are a likely barrier to seeing flying-foxes being represented more widely; but conclude with hope that current participation in depicting flying-foxes as interesting and part of biodiversity will gain momentum. Ultimately, through normalising flying-foxes, public attitudes adopting their intrinsic value may eventually overshadow the perspectives of flying-foxes connected to contentious issues.
... '+' denotes that a partial sequence was obtained. Global distribution range for the Pteropid fruit bat taken from [5,41]. Crocidurine shrew distribution range taken from [42]. ...
... denotes that a partial sequence was obtained. Global distribution range for the Pteropid fruit bat taken from [5,41]. Crocidurine shrew distribution range taken from [42]. ...
Article
Full-text available
Henipaviruses are zoonotic viruses, including some highly pathogenic and capable of serious disease and high fatality rates in both animals and humans. Hendra virus and Nipah virus are the most notable henipaviruses, resulting in significant outbreaks across South Asia, South-East Asia, and Australia. Pteropid fruit bats have been identified as key zoonotic reservoirs; however, the increased discovery of henipaviruses outside the geographic distribution of Pteropid fruit bats and the detection of novel henipa-like viruses in other species such as the shrew, rat, and opossum suggest that Pteropid bats are not the sole reservoir for henipaviruses. In this review, we provide an update on henipavirus spillover events and describe the recent detection of novel unclassified henipaviruses, with a strong focus on the shrew and its emerging role as a key host of henipaviruses.
... There are times of the year where the motivation to home could be increased for social species such as the grey-headed flying-fox, for example, from March-mid April when sexual activity is highest [42] large adult males are likely to hold mating territories containing a harem [41], and therefore would likely be more motivated to return to the roost to protect their reproductive interests [75]. Similarly, in January and February most females have left dependant young in the roost [76] and therefore would likely be highly motivated to return, Tracking data show that individual grey-headed flyingfoxes traverse vast distances throughout their extensive species range (from Rockhampton in Queensland to Adelaide in South Australia [76,77]) on an annual basis [8], visiting an average of 18 different roost sites per year among a network of several hundred known roosts [8,38,78]. This extreme mobility suggests that these animals are likely to have sophisticated navigation abilities; however, it is possible that different navigation systems are used when navigating over vast continental-scale distances versus the relatively short distances used in this study. ...
Article
Full-text available
Background The ability to navigate is crucial to the survival of many flying animals. Though relatively much less is known about the navigational abilities of bats versus birds, recent progress has been made in understanding the navigational abilities of cave roosting bats, but little is known about those of arboreal roosting flying-foxes, despite their extreme mobility. Methods We use extremely high spatiotemporal resolution GPS tracking to examine the flight behaviour of 11 grey-headed flying-foxes (Pteropus poliocephalus) displaced 16.8 km from their roost. We examined flight metrics of the resulting high-resolution traces to understand whether the displaced animals were aware their location with respect to the roost of capture. We use 7 grey-headed flying-foxes tracked from the roost of capture—as part of a separate, concurrent study—to aid in this comparison. Results Ten of 11 displaced individuals were detected at the roost of capture within four days of release, but all displaced individuals roosted for at least one night away from the roost of capture. Six individuals returned ‘home’ the next day, and four roosted away from ‘home’ for ≥ one further night. Prior to their return ‘home’, displaced individuals on average flew 2.7 times further and stopped 1.7 more times than reference individuals or displaced animals that had already returned ‘home’. This indicates that displaced individuals expended more effort each night than non-displaced individuals. This suggests that these individuals were attempting to return ‘home’, rather than choosing not to return due to a lack of motivation to home. Flight segments of displaced individuals were higher, less straight, and less likely to be oriented. Flight segments that ended in a point that an individual had previously visited were faster, higher, and straighter than those not known to end in a point previously visited. Conclusions Our findings suggest that approximately half of the displaced animals were aware of where they were with respect to ‘home’ the night after release, whereas other individuals took at least a further night to orient themselves. While our results are consistent with previous work suggesting that non-echolocating bats may use a large-scale navigational map based on vision, sensory manipulations would be needed to confirm this.
... Hence, a greater understanding of the factors influencing forest microclimates presents a critical opportunity to enhance the capacity of habitats to buffer the effects of a warming climate (De Frenne et al., 2021). Canopy microclimates are extremely important for flying-foxes (Pteropus spp.) because they roost diurnally within forest canopies in large colonies of hundreds to thousands of individuals (Ratcliffe & Ter Hofstede, 2005;Timmiss et al., 2021). Due to these high population densities, flying-foxes are highly vulnerable to changes in weather, especially heatwaves. ...
Article
Full-text available
One of the most significant changes to Earth's climate in recent decades has been an increase in the frequency, intensity and duration of heatwaves. During heatwaves, animal's thermal window can be exceeded, and in extreme cases, mass mortality events have been observed. In 2018, a heatwave in north‐eastern Australia resulted in the death of approximately one‐third of the spectacled flying‐fox ( Pteropus conspicillatus ) population at urban roosts in Cairns. The species has now been listed as endangered with future heatwaves considered the greatest threat to its survival. In this study, we investigated long‐term climatic trends for Cairns, paying particular attention to the frequency of extreme heat events from 1943 to 2022. We then characterized the microclimate of urban flying‐fox roosts during the Austral summers of 2021/2022 and 2022/2023 across Cairns to assess the long‐term feasibility of urban spectacled flying‐fox roosts. From the long‐term climate records, we observed an overall increase in Cairns' average annual temperature of 1.3°C from 1943 to 2022 and an increase in the number of excessively hot days per decade, from 16 in the first decade (1943–1952) to 67 in the last (2013–2022). We regularly detected maximum roost temperatures of 30–35°C during our study, with excessively hot days (>35°C) recorded more frequently than expected compared to Cairns's maximum temperatures from the last decade (2013–2023). We detected only 1 day where roost temperatures exceeded 40°C and no period that replicated the 2018 heatwave conditions. Furthermore, we found a significant negative relationship between roost ambient temperature and humidity, where the hottest days also coincided with those with the lowest humidity. Importantly, we found no difference in microclimate between roosts that were occupied and unoccupied by flying‐foxes during our study, suggesting that other environmental or behavioural factors are more influential for roost selection than the roosting microclimate. Ensuring the long‐term conservation of spectacled flying‐foxes under a changing climate will require the management of urban roosts to increase their thermal resistance to heatwaves, and more research is needed to identify the variables modulating this aspect.
... However, the formation of new roosts can lead to human-wildlife issues when new roosts are in or close to areas of human settlement (Smith, 2002;Kung et al., 2015;Currey et al., 2018;Mo et al., 2023b). Warranting this concern, the number of grey-headed flying-fox roosts in urban and suburban areas has increased over the past few decades Timmiss et al., 2021), with research suggesting that non-native food sources in settled areas provide a pull factor (Williams et al., 2006;Páez et al., 2018;Meade et al., 2021;Yabsley et al., 2021Yabsley et al., , 2022. The movement of flying-foxes in response to food availability can also result in landscape-scale events affecting the species' population disproportionately if affected areas contain large concentrations of the population at the time of impact. ...
... The Spectacled Flying-fox is one of the most important tree pollinators and distributors of fruits of rainforest trees across the wet tropics of Australia (Dennis & Westcott, 2006;Richards, 1990), often travelling over 100 km per night despite roosting mostly in disturbed urban and agricultural areas. Over 86% of the remaining roosting habitats of the species occur in modified urban and rural landscapes in small isolated patches of remnant forest outside the Wet Tropics World Heritage and other conservation areas, even though the bats feed in these areas (Timmiss et al., 2020). The proximity of the Spectacled Flying-fox camps (also called roosts) to humans creates conflicts which need to be resolved. ...
Article
Full-text available
Flying‐foxes worldwide have suffered population declines and some extinctions, and due to negative attitudes to bats, achieving population recovery is challenging. The Spectacled Flying‐fox of north‐east Australia, a species vital to the wet tropics region, experienced a population crash of over 75% in <15 years. Despite this decline, little action has been taken over the last two decades to help the species recover. The scientific evidence of the continuing population decline of the Spectacled Flying‐fox has been presented to multiple levels of government, but detrimental decisions have been made despite the evidence. Scientific evidence and arguments by themselves are clearly not sufficient to change attitudes. The approach and narrative have to change to persuade people that the species is important for the rainforests and other forests that people love. Better engagement, narrative and story‐telling are required. Bringing together communication specialists, social scientists and wildlife scientists are necessary to create narratives that people understand and accept, and that persuades them that the Spectacled Flying‐fox is worth protecting. Actions to reduce impacts on the human community are essential but need to be done in tandem with changing hearts and minds. Otherwise, the Spectacled Flying‐fox will continue its decline.
... In the mid-2000s, it was observed that small sub-populations of flying foxes were forgoing their historic migratory behavior and forming camps in urban or peri-urban areas (Van Der Ree et al. 2006;Plowright et al. 2011), particularly after periods of winter or spring food shortages (Eby et al. 2023). Recent studies on flying fox roost occupation show black and grey-headed flying foxes most commonly roost in urban and agricultural areas, with few roosts in protected areas (Timmiss et al. 2020;Eby et al. 2023). This change in bat behavior came after decades of extensive habitat loss (Eby et al. 2023) concurrent with an increase in the diversity and spatiotemporal availability of food in urban environments (Markus and Hall 2004;Meade et al. 2021;Yabsley et al. 2021), both stemming from human invasion and modification of bat habitats. ...
Article
Full-text available
Context Environmental change impacts natural ecosystems and wildlife populations. In Australia, native forests have been heavily cleared and the local emergence of Hendra virus (HeV) has been linked to land-use change, winter habitat loss, and changing bat behavior. Objectives We quantified changes in landscape factors for black flying foxes (Pteropus alecto), a reservoir host of HeV, in sub-tropical Queensland, Australia from 2000–2020. We hypothesized that native winter habitat loss and native remnant forest loss were greatest in areas with the most human population growth. Methods We measured the spatiotemporal change in human population size and native ‘remnant’ woody vegetation extent. We assessed changes in the observed P. alecto population and native winter habitats in bioregions where P. alecto are observed roosting in winter. We assessed changes in the amount of remnant vegetation across bioregions and within 50 km foraging buffers around roosts. Results Human populations in these bioregions grew by 1.18 M people, mostly within 50 km foraging areas around roosts. Remnant forest extent decreased overall, but regrowth was observed when policy restricted vegetation clearing. Winter habitats were continuously lost across all spatial scales. Observed roost counts of P. alecto declined. Conclusion Native remnant forest loss and winter habitat loss were not directly linked to spatial human population growth. Rather, most remnant vegetation was cleared for indirect human use. We observed forest loss and regrowth in response to state land clearing policies. Expanded flying fox population surveys will help better understand how land-use change has impacted P. alecto distribution and Hendra virus spillover.
... Prior to the listing of the Grey-headed Flying-fox as vulnerable species in 2001, two fruit growing regions were considered the most frequently affected by flying-fox depredation in NSW: the North Coast of NSW from Macksville to the Tweed River, and the Sydney Basin from Picton to Maitland (Eby 1995). The regular distribution of the Grey-headed Flying-fox has since expanded further inland encompassing growing regions in the Central West and South West Slopes (Westcott et al. 2015;Timmiss et al. 2021). This corresponds with flying-fox damage to crops being reported annually from these regions over the past decade (Department of Primary Industries, unpubl. ...
Article
Full-text available
Flying-fox depredation of cultivated fruit in eastern Australia has been contentious since early settlement and was often addressed by shooting flying-foxes. However, shooting is ineffective as a crop protection measure and has serious animal welfare impacts. Exclusion netting is considered the most reliable and humane method of protecting commercial crops from flying-foxes and other animals. From 2011 to 2017, the New South Wales (NSW) Government implemented the Flying-fox Netting Subsidy Program to subsidise fruit growers’ costs of installing exclusion netting on orchards, accompanied by the gradual phase out of legal shooting of flying-foxes in NSW. The AUD7.1millionschemewasdesignedtofundupto50percentofthecostofpurchasingandinstallingexclusionnetting,cappedatAUD7.1 million scheme was designed to fund up to 50 percent of the cost of purchasing and installing exclusion netting, capped at AUD20,000 per hectare. The subsidy program was initially funded for AUD5millionandrestrictedtofullcanopyexclusionnettingfororchardssituatedintheSydneyBasinandCentralCoastbutlaterexpandedtotheremainderofNSWandalsoexpandedtosubsidisethrowovernettingandupgradesofnoncomplaintnetting,withanadditionalinvestmentofAUD5 million and restricted to full-canopy exclusion netting for orchards situated in the Sydney Basin and Central Coast but later expanded to the remainder of NSW and also expanded to subsidise throw-over netting and upgrades of non-complaint netting, with an additional investment of AUD2.1 million. As a result, subsidies achieved netting of 182 hectares of crops in the Sydney Basin and Central Coast and 503 hectares in the remainder of NSW. The number of shooting licences granted by the NSW Government in growing seasons following the subsidy program were substantially lower than previous growing seasons and flying-foxes were reported shot at a lower rate following the subsidy program compared to previous growing seasons. These patterns suggest fruit growers’ diminishing reliance on using shooting as a crop protection measure in the years leading up to the NSW Government phasing out legal shooting of flying-foxes in June 2021.
Article
Full-text available
Background: Effective conservation management of highly mobile species depends upon detailed knowledge of movements of individuals across their range; yet, data are rarely available at appropriate spatiotemporal scales. Flying-foxes (Pteropus spp.) are large bats that forage by night on floral resources and rest by day in arboreal roosts that may contain colonies of many thousands of individuals. They are the largest mammals capable of powered flight, and are highly mobile, which makes them key seed and pollen dispersers in forest ecosystems. However, their mobility also facilitates transmission of zoonotic diseases and brings them in conflict with humans, and so they require a precarious balancing of conservation and management concerns throughout their Old World range. Here, we analyze the Australia-wide movements of 201 satellite-tracked individuals, providing unprecedented detail on the inter-roost movements of three flying-fox species: Pteropus alecto, P. poliocephalus, and P. scapulatus across jurisdictions over up to 5 years. Results: Individuals were estimated to travel long distances annually among a network of 755 roosts (P. alecto, 1427-1887 km; P. poliocephalus, 2268-2564 km; and P. scapulatus, 3782-6073 km), but with little uniformity among their directions of travel. This indicates that flying-fox populations are composed of extremely mobile individuals that move nomadically and at species-specific rates. Individuals of all three species exhibited very low fidelity to roosts locally, resulting in very high estimated daily colony turnover rates (P. alecto, 11.9 ± 1.3%; P. poliocephalus, 17.5 ± 1.3%; and P. scapulatus, 36.4 ± 6.5%). This indicates that flying-fox roosts form nodes in a vast continental network of highly dynamic "staging posts" through which extremely mobile individuals travel far and wide across their species ranges. Conclusions: The extreme inter-roost mobility reported here demonstrates the extent of the ecological linkages that nomadic flying-foxes provide across Australia's contemporary fragmented landscape, with profound implications for the ecosystem services and zoonotic dynamics of flying-fox populations. In addition, the extreme mobility means that impacts from local management actions can readily reverberate across jurisdictions throughout the species ranges; therefore, local management actions need to be assessed with reference to actions elsewhere and hence require national coordination. These findings underscore the need for sound understanding of animal movement dynamics to support evidence-based, transboundary conservation and management policy, tailored to the unique movement ecologies of species.
Article
Full-text available
Knowledge of species’ population trends is crucial when planning for conservation and management; however, this information can be difficult to obtain for extremely mobile species such as flying-foxes (Pteropus spp.; Chiroptera, Pteropodidae). In mainland Australia, flying-foxes are of particular management concern due their involvement in human-wildlife conflict, and their role as vectors of zoonotic diseases; and two species, the grey-headed flying-fox (Pteropus poliocephalus) and the spectacled flying-fox (P. conspicillatus), are currently threatened with extinction. Here we demonstrate that archival weather radar data over a period of ten years can be used to monitor a large colony of grey-headed flying-foxes near Melbourne. We show that radar estimates of colony size closely match those derived from traditional counting methods. Moreover, we show that radar data can be used to determine the timing and departure direction of flying-foxes emerging from the roost. Finally, we show that radar observations of flying-foxes can be used to identify signals of important ecological events, such as mass flowering and extreme heat events, and can inform human activities, e.g. the safe operation of airports and windfarms. As such, radar represents an extremely promising tool for the conservation and management of vulnerable flying-fox populations and for managing human interactions with these ecologically-important mammals.
Article
Full-text available
Habitat transformations caused by human land-use change are considered major drivers of ongoing biodiversity loss 1–3 , and their impact on biodiversity is expected to increase further this century 4–6 . Here, we used global decadal land-use projections to year 2070 for a range of shared socioeconomic pathways, which are linked to particular representative concentration pathways, to evaluate potential losses in range-wide suitable habitat and extinction risks for approximately 19,400 species of amphibians, birds and mammals. Substantial declines in suitable habitat are identified for species worldwide, with approximately 1,700 species expected to become imperilled due to land-use change alone. National stewardship for species highlights certain South American, Southeast Asian and African countries that are in particular need of proactive conservation planning. These geographically explicit projections and model workflows embedded in the Map of Life infrastructure are provided to facilitate the scrutiny, improvements and future updates needed for an ongoing and readily updated assessment of changing biodiversity. These forward-looking assessments and informatics tools are intended to support national conservation action and policies for addressing climate change and land-use change impacts on biodiversity. © 2019, The Author(s), under exclusive licence to Springer Nature Limited.
Article
Full-text available
Extreme heat events pose increasing challenges to biodiversity conservation worldwide, yet our ability to predict the time, place and magnitude of their impacts on wildlife is limited. Extreme heat events in Australia are known to kill thousands of flying‐foxes (Pteropus spp.), and such die‐offs are expected to become more frequent and widespread in the future under anthropogenic climate change. There is a growing need for predicting when and where such heat‐related die‐offs would occur, to facilitate short‐term wildlife management and conservation actions. In this study, we used gridded hourly air temperature forecasts [Australian Community Climate and Earth‐System Simulator (ACCESS‐R) Numerical Weather Prediction (NWP) model] from the Australian Bureau of Meteorology to predict flying‐fox heat‐related mortality based on an empirically determined threshold of 42.0°C. We tested the accuracy and precision of this model using a twofold evaluation of the ACCESS‐R NWP forecast air temperature during a recorded extreme heat event with in situ air temperature measurements and interpolated weather station data. While our results showed a slight discrepancy between the modelled and measured air temperatures, there was no significant difference in the forecast's accuracy to predict die‐offs during an extreme heat event and the overall summer period. We evaluated the accuracy of mortality predictions based on different air temperature thresholds (38.0, 40.0, 42.0 and 44.0°C). Our results revealed a significant probability of flying‐fox mortality occurrence when forecast air temperature was ≥42.0°C, while the 24‐ and 48‐h forecasts accurately predicted 77 and 73% of the die‐offs, respectively. Thus, the use of 42.0°C forecast air temperature from the ACCESS‐R NWP model can predict flying‐fox mortality reliably at the landscape scale. In principle, the forecaster can be used for any species with known thermal tolerance data and is therefore a promising new tool for prioritizing adaptation actions that aim to conserve biodiversity in the face of climate change.
Article
Full-text available
Island biogeography theory posits that species richness increases with island size and decreases with isolation. This logic underpins much conservation policy and regulation, with preference given to conserving large, highly connected areas, and relative ambivalence shown toward protecting small, isolated habitat patches. We undertook a global synthesis of the relationship between the conservation value of habitat patches and their size and isolation, based on 31 systematic conservation planning studies across four continents. We found that small, isolated patches are inordinately important for biodiversity conservation. Our results provide a powerful argument for redressing the neglect of small, isolated habitat patches, for urgently prioritizing their restoration, and for avoiding simplistic application of island biogeography theory in conservation decisions.
Article
Full-text available
Efficient forward-looking mitigation measures are needed to halt the global biodiversity decline. These require spatially explicit scenarios of expected changes in multiple indicators of biodiversity under future socio-economic and environmental conditions. Here, we link six future (2050 and 2100) global gridded maps (0.25° × 0.25° resolution) available from the land use harmonization (LUH) database, representing alternative concentration pathways (RCP) and shared socio-economic pathways (SSPs), with the countryside species–area relationship model to project the future land use change driven rates of species extinctions and phylogenetic diversity loss (in million years) for mammals, birds, and amphibians in each of the 804 terrestrial ecoregions and 176 countries and compare them with the current (1900–2015) and past (850–1900) rates of biodiversity loss. Future land-use changes are projected to commit an additional 209–818 endemic species and 1190–4402 million years of evolutionary history to extinction by 2100 depending upon the scenario. These estimates are driven by land use change only and would likely be higher once the direct effects of climate change on species are included. Among the three taxa, highest diversity loss is projected for amphibians. We found that the most aggressive climate mitigation scenario (RCP2.6 SSP-1), representing a world shifting towards a radically more sustainable path, including increasing crop yields, reduced meat production, and reduced tropical deforestation coupled with high trade, projects the lowest land use change driven global biodiversity loss. The results show that hotspots of future biodiversity loss differ depending upon the scenario, taxon, and metric considered. Future extinctions could potentially be reduced if habitat preservation is incorporated into national development plans, especially for biodiverse, low-income countries such as Indonesia, Madagascar, Tanzania, Philippines, and The Democratic Republic of Congo that are otherwise projected to suffer a high number of land use change driven extinctions under all scenarios.
Article
Full-text available
Over the last 20 years, there has been a notable increase in the presence of flying-foxes (Pteropodidae) in urban areas in Australia. Flying-foxes congregate during the day in camps which at times may contain many thousands of individuals. The associated noise, smell, mess and concerns about disease transmission can result in significant conflict with local communities. Managers of flying-fox camps use a range of management approaches to mitigate tensions, but the success or otherwise of these has been largely undocumented. Land managers were surveyed to determine the relative cost and perceived effectiveness of mitigation strategies using semi-structured interviews and an online questionnaire. We found that five actions were commonly used to manage flying-foxes: (1) stakeholder education, (2) the creation of buffers between camps and adjacent residents via vegetation removal or (3) the creation of buffers via deterrents, (4) dispersal of flying-foxes via disturbance, and (5) dispersal of flying-foxes via vegetation removal. Perceptions of effectiveness varied considerably among managers. Overall, the creation of buffers via vegetation removal was considered the most effective action, and stakeholder education was perceived to be the least effective. Dispersal via disturbance was also considered effective at reducing complaints and improving amenity, but not particularly effective overall likely due to the often short-term relief provided to residents before camps were recolonised. It was evident that the actions taken by managers and their perceived effectiveness were influenced by the attitudes of the community. This highlights the importance of considering the human dimensions of human-wildlife conflict in mitigation strategies.
Article
Full-text available
Fruit bats (Pteropodidae) have received increased attention after the recent emergence of notable viral pathogens of bat origin. Their vagility hinders data collection on abundance and distribution, which constrains modeling efforts and our understanding of bat ecology, viral dynamics, and spillover. We addressed this knowledge gap with models and data on the occurrence and abundance of nectarivorous fruit bat populations at 3 day roosts in southeast Queensland. We used environmental drivers of nectar production as predictors and explored relationships between bat abundance and virus spillover. Specifically , we developed several novel modeling tools motivated by complexities of fruit bat foraging ecology, including: (1) a dataset of spatial variables comprising Eucalypt-focused vegetation indices, cumulative precipitation, and temperature anomaly; (2) an algorithm that associated bat population response with spatial covariates in a spatially and temporally relevant way given our current understanding of bat foraging behavior; and (3) a thorough statistical learning approach to finding optimal covariate combinations. We identified covariates that classify fruit bat occupancy at each of our three study roosts with 86–93% accuracy. Negative binomial models explained 43–53% of the variation in observed abundance across roosts. Our models suggest that spatiotemporal heterogeneity in Eucalypt-based food resources could drive at least 50% of bat population behavior at the landscape scale. We found that 13 spillover events were observed within the foraging range of our study roosts, and they occurred during times when models predicted low population abundance. Our results suggest that, in southeast Queensland, spillover may not be driven by large aggregations of fruit bats attracted by nectar-based resources, but rather by behavior of smaller resident subpopulations. Our models and data integrated remote sensing and statistical learning to make inferences on bat ecology and disease dynamics. This work provides a foundation for further studies on landscape scale population movement and spatiotemporal disease dynamics.
Book
To hold a little microbat in your hand, its body the size of the end of your thumb, is nothing but astounding. Its head is nearly the size of a man’s fingernail, its tiny ears are twitching as it struggles to get free, and then it bares its teeth to try and scare you into letting it go. Inside that tiny head is a powerhouse of information. Some of our little bats know the entire landscape of our east coast, and can pinpoint a cave entrance in dense forest 500 km from its last home. When they get there they know what to do – where to forage, which bat to mate with and how to avoid local predators. A Natural History of Australian Bats uncovers the unique biology and ecology of these wonderful creatures. It features a description of each bat species found in Australia, as well as a section on bat myths. The book is enhanced by stunning colour photographs from Steve Parish, most of which have never been seen before.