Open Access
How to translate text using browser tools
8 February 2022 Non-invasive monitoring and reintroduction biology of the brush-tailed rock-wallaby (Petrogale penicillata) in the Grampians National Park, Australia
S. Kleemann, D. Sandow, M. Stevens, D. J. Schultz, D. A. Taggart, A. Croxford
Author Affiliations +
Abstract

Thirty-nine endangered brush-tailed rock-wallabies (Petrogale penicillata) were reintroduced to Grampians National Park, western Victoria, between 2008 and 2012. Subsequent high mortality, low breeding, and no recruitment were linked to fox predation and physical disturbance during monitoring. From 2014 to 2017, the colony was left undisturbed and monitored only by remote camera. Five adult animals were identified across this period (1 ♂ and 3 ♀s – all tagged; and one untagged female), and an average of 0.7 pouch young were birthed per tagged female per year. In 2019, camera-monitoring and non-invasive genetic monitoring (faecal) were used to identify colony members, genetic diversity, and breeding. Camera monitoring in 2019 identified the same five individuals, whereas genetic monitoring using 12 microsatellites identified eight individuals (two male and six female genotypes). Genetic diversity within the colony was moderate (expected heterozygosity (He) = 0.655, observed heterozygosity (Ho) = 0.854). Leaving the colony undisturbed after 2013 correlated with improved adult survival, increased breeding, and successful recruitment of young to the population. Recommendations for the Grampians colony include continuation of regular camera- and scat monitoring to improve our understanding of the reintroduction biology of P. penicillata and other marsupials in open, unfenced landscapes.

Introduction

Reintroduction is a common conservation tool to help threatened species and prevent wildlife extinctions. However, the success rates of reintroductions are highly variable. The factors that influence success or failure are numerous and vary with species and release site (Bubac et al. 2019; Berger-Tal et al. 2020). Within Australia, the main factor identified in the failure of many reintroductions is predation by exotic carnivores (e.g. Moseby et al. 2011; Sheean et al. 2012; Hardman et al. 2016; Short 2016; Watkins et al. 2018; Robinson et al. 2020).

While post-release monitoring of reintroduction attempts is now frequently conducted, it is often conducted poorly, and difficulties with monitoring are commonly reported (Bubac et al. 2019; Berger-Tal et al. 2020; Gant et al. 2020). Survival, abundance, population growth, breeding, and recruitment are all parameters that determine reintroduction success and can be assessed only through post-release monitoring (Richards and Short 2003; White et al. 2003; Parlato and Armstrong 2013; Johnson et al. 2018). Although genetic diversity is highly valued when selecting groups of animals for release (e.g. Lapbenjakul et al. 2017), without post-release monitoring, it cannot be known whether the genetics of the reintroduced population remain viable for long-term success (Zeng et al. 2007; Scott et al. 2020). Post-release monitoring data are vital to guide management decisions such as interventions to ensure population viability, understanding why a reintroduction succeeded or failed, to assess effectiveness of predator control, and to optimise future reintroduction attempts (Richards and Short 2003).

Monitoring reintroduced animals through observation, trapping, or mark–recapture can be difficult in steep or hard-to-access terrain, or when animals are cryptic or shy, and can have occupational safety risks to researchers and animal welfare risks for the study species (Piggott et al. 2006a; Berger-Tal et al. 2020). Trap-shy animals can lead to the detection of only a subset of a population (Hoyle et al. 1995; Cutler and Swann 1999; Wegge et al. 2004).

Alternatively, non-invasive wildlife monitoring requires no contact with animals and can often be preferable owing to its efficacy in labour, cost, and animal and staff welfare (De Bondi et al. 2010). Camera traps can be used to obtain information on population abundance, behaviour, habitat occupancy, and population structure (Silveira et al. 2003; Claridge et al. 2010). Non-invasive genetic monitoring, including the use of faecal samples, can provide information on population abundance, population structure, sex, diet, habitat occupancy, and population genetic diversity (Piggott et al. 2006a; Lachish et al. 2011; Tende et al. 2014; Moßbrucker et al. 2015; Morales-Contreras et al. 2016; Camp et al. 2020; Bannister et al. 2020).

The brush-tailed rock-wallaby (BTRW; Petrogale penicillata) is one of many currently declining, threatened mammal species in Australia (Woinarski et al. 2014). The small to medium-sized, cryptic macropod species historically occurred in abundance throughout much of the Great Dividing Range and has a strong dependence on complex rocky habitat (Wakefield 1961; Kaufmann 1974). In the Grampians, Victoria, the species became locally extinct in 1999 and, in response, a translocation strategy was devised to reintroduce captive-bred animals into the Moora Moora Creek area within the Grampians National Park (Delaney et al. 2005; Bramwell et al. 2008; Taggart et al. 2008, 2015).

Reintroduction of 39 animals began in November 2008 and concluded in November 2012, with only seven animals surviving by December 2013 (Taggart et al. 2015). Predation by exotic predators was recognised as a key cause of mortality, despite the presence of an intensive fox control program around the site (Robley et al. 2014; Taggart et al. 2015). The frequency of colony disruption from supplementations, physical monitoring (e.g. cage-trapping and handling) and release group size were hypothesised to result in poor levels of social cohesion during the establishment phase, leading to increased predation vulnerability (Taggart et al. 2015).

Few pouch young were identified within the colony between 2008 and 2013, no juveniles or subadults were observed or trapped, and no animals were recruited into the adult population (M. Stevens, Parks Victoria, pers. comm.). From 2014 onward, the colony was left undisturbed by physical monitoring and supplementation and was monitored only by remote camera.

Non-invasive faecal genetics was pioneered in this species by Piggott and colleagues to test its potential for monitoring elusive or endangered species, especially in rough terrain (e.g. Browning et al. 2001; Piggott and Taylor 2003; Eldridge et al. 2004; Hazlitt et al. 2004, 2006a, 2006b, 2014; Piggott 2004; Piggott et al. 2006a, 2006b, 2018).

The aim of this study was to examine the efficacy of remote cameras and faecal genotyping as non-invasive post-release monitoring methods to better understand the population structure, current distribution, recruitment, genetic diversity, and parentage of the remaining reintroduced colony. This enabled us to assess the difference in the population growth following a period of 6 years with no animal supplementations or other human interference, which can provide useful insights to help optimise reintroduction of BTRW and similar species.

Materials and methods

Study site

This study was located at Moora Moora Creek, within the Grampians National Park in western Victoria, Australia (Fig. 1). The reintroduced BTRW colony is located centrally within the national park, approximately 10 km southwest of the township of Halls Gap.

Fig. 1.

Location of the study site Moora Moora Creek within the Grampians National Park (top). Location of features of study site and locations of scats collected from the reintroduced population of brush-tailed rock-wallabies (Petrogale penicillata) present at the site, including locations searched for scats (bottom). Also included are the locations of six remote cameras at the site.

ZO21009_F1.gif

Camera-monitoring data

Three motion triggered remote cameras (BuckEye Orion XIR; BuckEye Cam, Australia) were installed at the Moora Moora Creek release site by Parks Victoria staff in 2014. Images recorded by these cameras were used to determine successful matings and breeding of the BTRW in the colony from 2014 to mid-2017 and to monitor the ongoing survival of tagged animals. Cameras were not operational between mid-2017 and December 2018.

Previously published BTRW growth data were used to calculate the approximate dates of birth of the pouch young recorded by remote cameras in the colony. Calculations were based on estimates of gestation length (∼30 days), first pouch exit (∼180 days), permanent pouch exit (190–210 days) and weaning (220–240 days; Taggart et al. 2005).

In January 2019, six new motion-triggered remote cameras (BuckEye X80; BuckEye Cam Australia) were installed at Moora Moora Creek. The new cameras were set up ∼250 m apart, along a 1.2 km length of the Moora Moora Creek escarpment above Moora Moora Creek where the BTRWs were released, and which now forms the main colony site. Cameras uploaded photos, via a cellular base station, directly to an office computer on weekdays.

Recorded sightings of BTRWs on the cameras from the 19 January 2019 to the 3 August 2019 were obtained from Parks Victoria staff. The identity of the BTRW based on clear visualisation of an identifying ear tag or definite absence of an ear tag was provided with the date and camera location of the sighting.

Camera locations and BTRW ear-tag identity were used to estimate the escarpment length occupied by each individual BTRW (referred to as their 'escarpment range'). The escarpment range of each animal is defined as the number of remote cameras on which an individual was captured, signifying how much of the escarpment each individual was using. Home-range studies of rock-wallaby species have typically found that core ranges were best estimated using 50–75% of radio tracking/GPS/spotlight locations (Horsup 1994; Laws and Goldizen 2003; Telfer and Griffiths 2006; Sharp 2009; Hayward et al. 2011). For this study, a cumulative frequency across multiple cameras where >60% of sightings were recorded were considered an animal's 'core escarpment range'.

For visualisation purposes, a buffer zone of 100 m was created around the camera location where each animal was recorded to represent an area in which an animal was thought to occur using ArcGIS ArcMap 10.8.1 (Esri, USA). Additionally, the escarpment range of an individual was considered identical to its core escarpment range if the proportion of images of an individual recorded at each camera was equal, because it was assumed that the animal spent similar amounts of time around each camera location along the escarpment.

Genetic sample collection

BTRWs are highly dependent on their rocky habitat, and so their scats are easy to locate if present. Rock-wallaby scats can be readily distinguished from other macropod scats in the region (Macropus fuliginosus, M. giganteus, M. rufogriseus and Wallabia bicolor; Aussavy et al. 2011) by their size, shape (typically cylindrical with a single pointed end), and texture (mix of small and larger plant fragments; Jarman and Capararo 1996). Fresh scats (<2 weeks old) can be identified by their glossy, black colour, and strong odour (Piggott 2004; David Taggart and Lauren Werner, pers. comm.).

In this study, fresh BTRW scats were collected opportunistically from across the length of the rocky escarpment area in and around the known colony site (the Moora Moora Creek Escarpment) in September 2018 and February to April 2019. Only one scat, selected at random, was taken from locations where multiple scats were present in close proximity to one another.

The scat search and collection began at the western end of the escarpment, approximately 0.3 km south-west of Camera C01 and concluded 1.13 km past the eastern end of the main colony, including the entire colony (approximately 1.2 km in length; Fig. 1). A 0.08 km length of escarpment on the north-western side of the creek under a landmark known as 'flat rock', directly opposite the western end of the main colony, was also searched (Fig. 1). Additionally, an adjacent 2.3 km of escarpment on both the northern and southern sides of Mount Rosea Creek, located north of the known Moora Moora Creek BTRW colony site, was searched in autumn 2019 (Fig. 1). The area searched represented the closest escarpments to the main colony, with potentially suitable habitat that dispersing BTRWs might have moved to.

Scats were collected in individual zip-lock bags to avoid DNA contamination among scats. Scat locations were recorded using a hand-held GPS unit. The scat samples were then stored in a portable cooler while travelling and on site. Scat samples were kept frozen at -20°C in the laboratory before DNA extraction (e.g.Walker et al. 2009; Kolodzieg et al. 2013; Sabino-Marques et al. 2018). For comparison of genetic diversity, DNA extracted from stored ear biopsies of 10 BTRWs (progeny of three males and four females) of known sex were included in the study from the animal facility at the Waite Campus of University of Adelaide, Adelaide, Australia. The translocated animals and the captive Waite Campus animals were founded from the same set of individuals. These founder individuals came from two distinct evolutionarily significant units (ESU), the southern and the central ESU (Browning et al. 2001; Paplinska et al. 2011; David Taggart, pers. comm.).

Genomic DNA extraction

Faecal DNA was extracted from scats by using the Bioline Isolate II Genomic DNA Kit protocol (Bioline, Australia), with modifications that included using sterile cotton swabs soaked in 200 μL of nanopure water (Sigma-Aldrich, Australia) to remove epithelial cells from all surfaces of the scats (e.g. Akomo-Okoue et al. 2015; Ramón-Laca et al. 2015; Dimsoski 2017; Bourgeois et al. 2019) and using an additional centrifugation step to remove excess debris before binding onto the silica membrane.

Genomic DNA from the ear biopsies was extracted using the Bioline Isolate II Genomic DNA Kit (Bioline, Australia), using approximately 20 mg of each ear biopsy and extending the proteinase digestion at 56°C to 24 h.

Total DNA extracted from faecal and ear biopsy samples were quantified and assessed for quality by using a NanoDrop ND-1000 spectrophotometer (Thermo Fisher Scientific Inc., USA) and stored at -20°C until analysis.

Genotyping

A panel of 12 nuclear microsatellite markers, seven di-nucleotide (PI22 (Luikart et al. 1997), BT_1, BT_3, BT_6, BT_11, BT_17, BT_25; Accession numbers: OK070787, OK070788, OK070789, OK070790, OK070791, OK070792) and five tri-nucleotide (SK8, SK62, SK65; accession numbers: OK031000, OK031001, OK031002; ET32, ET35; unpubl. data, Adam Croxford, pers. comm., Accession numbers: XM_036734328.1, XM_020966173.1; mean He = 0.7) were used to genotype the BTRW faecal DNA (Supplementary Table S1). A subset of six microsatellite markers (PI22, SK8, SK62, SK65, ET32, ET35) (mean He = 0.74) were used to genotype captive ear-tissue DNA due to budget constraints. Two Y-chromosome linked markers (SRY; Watson et al. 1998, SRY; Katsura et al. 2018) were checked for amplification in all samples (tissue and faecal DNA) for sex determination. Flanking primers of unpublished microsatellite markers were designed using Primer3 software (Koressaar and Remm 2007; Untergasser et al. 2012; Koressaar et al. 2018) with a length of between 80 and 300 bp. Markers were selected on the basis of reliability of amplification ease of scoring (low stuttering), and polymorphism. The markers were modified with truncated Illumina linkers to allow the amplicons to be converted into Illumina libraries (sequences: forward: TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG; reverse: GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAG). PCRs of the ear-biopsy DNA were conducted in 10 μL volumes containing 1× Biomix (Bioline, Australia), 0.2 nM of each forward and reverse primers, and 10 ng of DNA. The same protocol was used for faecal DNA analysis following a 1 in 10 dilution of the DNA.

Polymerase chain reactions were conducted using a BioRad T100 Thermal Cycler (Bio-Rad, USA), using the following PCR protocol: an initial denaturation at 95°C for 5 min, followed by 35 cycles of 95°C for 15 s, 55°C for 30 s, 72°C for 45 s and a final extension at 72°C for 5 min. The annealing temperature for the Y-linked SRY marker (Watson et al. 1998) was set to 64°C instead of 55°C and the cycle was repeated 40 times for both Y-linked markers. The sexing PCR was performed with ET32 and ET33 to ensure that there were no false negatives. PCR products were visualised after electrophoresis on a 1% agarose gel stained with SybrSafe (Invitrogen, USA).

Polymerase chain reaction products for each individual (including both ear-tissue samples and scat samples) were pooled and purified using Ampure XP beads (Agencourt Bioscience Corporation, USA) at a ratio of 1:1. The two-step Illumina indexing approach described by Wilkinson et al. (2017) was used to develop sequencing libraries for each sample and all samples were pair-end sequenced using a 300-cycle MiSeq version 2 kit (Illumina, USA) at Australian Genome Research Facility (AGRF), Melbourne.

The MiSeq sequences were demultiplexed using the MiSeq Reporter software (Illumina) and paired reads were then merged using the Geneious Prime 2019.2 software (Biomatters, New Zealand). Genotypes were determined from the amplicon length of the microsatellite. To test the fidelity of the genotyping, three replicate amplifications from 10 different samples (two ear-tissue and eight scat DNA samples) were performed and run on the MiSeq, including the single scat genotyped as F6.

Individual identification

Hardy–Weinberg equilibrium and linkage disequilibrium tests were conducted across all loci for all samples, by using the Markov-chain algorithm of Raymond and Rousset (1995) in Genepop version 4.7.5 (Rousset 2008). The presence of null alleles and allele dropout were assessed using the MICRO-CHECKER 2.2.3 program (Van Oosterhout et al. 2004). Owing to budget constraints, samples with non-amplifying loci could not be re-analysed in this study, and were excluded.

The probability of identity (PID), meaning the probability of two individuals having the same genotype in a randomly mating population, was calculated among full siblings (P(ID)sib) for the Moora Moora Creek individuals (12 loci; 1.0 × 10-4) by using GenAlEx 6.5 (Peakall and Smouse 2006, 2012). GenAlEx 6.5 was also used to match genotypes, with zero mismatches allowed. Samples with 100% allelic sharing at all 12 loci were considered to be the same individual because of the low PID values and exclusion of genotypes with non-amplifying loci.

Basic genetic-diversity parameters, including mean number of alleles per locus (Na), observed (Ho) and expected heterozygosity (He), and an inbreeding parameter (Fis) were obtained using GenAlEx 6.5 (Peakall and Smouse 2006, 2012), by using the unique scat genotypes and the 10 tissue samples. Because only six loci were amplified in tissue DNA, genetic diversity parameters were calculated using the six-locus subset for both the Waite (tissue) and Moora Moora Creek (scat) samples and all 12 loci for Moora Moora Creek (scat) samples only.

Parentage analysis

Parentage of scat genotypes (conducted with 12 loci) was assigned using the program Cervus 3.0.7 (Kalinowski et al. 2007). Because the identity of all BTRW genotypes was unknown compared with release records, all genotypes were considered as both offspring and candidate parents with sexes known. Parentage was determined using parent-pair analysis where the simulation was conducted with the following parameters: 10 000 offspring, three candidate mothers with a proportion of 0.9 sampled, two candidate fathers with a proportion of 0.9 sampled, a proportion of 0.9 loci typed and 0.1 loci mistyped, and a minimum typed number of loci of 12. The parent-pair analysis was then conducted with a strict confidence level of 95% and a relaxed confidence level of 80%. Of all parentage analyses, there was one locus pair mismatch between individuals F6 and F3. However, because of the low number of individuals and lack of known relationships, the power to detect error was low. GenAlEx 6.5 was used to calculate the probability of exclusion with no parents known.

Results

Camera-monitoring along the escarpment (2019)

Brush-tailed rock-wallaby was the only macropod species recorded by the remote cameras in 2019. Images of BTRWs in the colony showed that the animals were in good body condition with clean glossy pelts and no obvious signs of disease.

Camera data suggested that at least five BTRWs persisted at the Moora Moora Creek site in early 2019, including four tagged founder animals (1 ♂ and 3 ♀) and an untagged animal. The identity, age, and sex of the known Moora Moora Creek BTRWs are listed in Table 1. During 2019, 76 images of an untagged BTRW were recorded (Table 2). All sightings of the untagged animal suggested that it was a young adult female, including a visible pouch. Tagged male 167 was twice recorded mating an untagged animal at Camera C03 in April and May of 2019. The total escarpment and core escarpment ranges of known BTRWs overlapped (Fig. 2ae; Table 2).

Table 1.

Identification, sex, and age of the individuals in the reintroduced brush-tailed rock-wallaby (Petrogale penicillata) colony at Moora Moora Creek, Grampians National Park, Australia.

ZO21009_T1.gif

Table 2.

Number and proportion of images of brush-tailed rock-wallabies (Petrogale penicillata) in the Moora Moora Creek colony recorded by six remote cameras positioned along the escarpment.

ZO21009_T2.gif

Fig. 2.

Satellite image of the brush-tailed rock-wallaby (Petrogale penicillata) reintroduction site at Moora Moora Creek, in the Grampians National Park, Australia. Figure shows core and entire escarpment ranges of (a) female Ki1, (b) female Ki2, (c) female TFS76, (d) male 167 and (e) untagged animal. The range estimates were taken from images captured by six remote cameras set up at the site along the escarpment. C01–C06 indicate the positions of the six remote cameras.

ZO21009_F2.gif

Camera records of breeding events (2014–2017, 2019)

Breeding events in the colony deduced from camera images of females with pouch young were recorded between 2014 and 2017 (Supplementary Table S2). All tagged adult females (Ki1, Ki2, and TFS76) were detected with pouch young, indicating that all tagged adult females and the tagged male in colony were fertile and breeding. Camera data from 2014 to 2017 and in 2019 indicated that the majority of mating events in the colony occurred in late summer and autumn (69%), with pouch young emergence occurring in late spring and early summer (Supplementary Table S2). Less frequent mating events were also detected on camera in late spring (15%) and winter (15%).

Remote camera images indicated that nine pouch young were born between 2014 and mid-2017. A further five attempted matings were recorded between January and August 2019, including four of unknown outcome and one failed attempt. All three tagged females (Ki1, Ki2 and TFS76) were observed mating with male 167 in 2019. An untagged female was also observed with a pouch young (Supplementary Table S2). No other images of pouch young or young at foot were recorded in 2019.

From the camera observations made between 2014 and 2017, the three tagged adult females produced, on average, 0.7 pouch young per female per year (Supplementary Table S3). No female weaned a young every year between 2014 and 2017. Three pouch young were detected only as a pouch 'bulge' late within the observation period and so their status remains unknown. Of six pouch young detected on camera with heads out of pouch, five (83%) reached at least the young-at-foot stage. Two (33%) young were later observed as subadults, three young (50%) were not observed past the young-at-foot stage and the sixth young had just reached pouch emergence when the cameras were removed in mid-2017 (Supplementary Table S2).

Scat DNA genotypes identified

In total, 218 BTRW scats were collected from the colony site (44 collected in September 2018 and 174 collected across February and April 2019). No scats were found more than 250 m away from the known colony area (Fig. 1). No BTRW scats were found in the adjacent Mount Rosea Creek search area, despite the presence of potentially suitable habitat (Fig. 1). In addition to BTRW scats, swamp wallaby (Wallabia bicolor) scats were frequently found at the base and top of the rocky escarpments in and around the known colony site at Moora Moora Creek and in the Mount Rosea Creek area. All Waite BTRWs tested were of known sex. Genotyping confirmed their sex, and thus that the technique was working. DNA extracted from 4 of the 218 scats collected at Moora Moora Creek failed to amplify and it was deemed that the scats were too old to produce viable DNA. Genotypes including loci that did not amplify were excluded from further analysis. This reduced the sample size from 218 to 169. The PID for the Moora Moora Creek BTRWs is within the recommended values of 1 × 10-2 to 1 × 10-4 for accurate population estimates and individual identification (Mills et al. 2000; Waits et al. 2001). The Hardy–Weinberg equilibrium test showed no significant deviation from equilibrium after Bonferroni correction and no linkage disequilibrium was present for the loci used in the study. The analysis in MICRO-CHECKER revealed no evidence of null alleles being present and no allelic dropout occurring across all the microsatellite loci. The results from the replicated samples showed 100% genotyping match and all three replicates were scored with no failure of PCR. This supports the high-fidelity of the genotyping system employed in this study.

Analysis of faecal DNA from the Moora Moora Creek colony identified eight unique BTRW genotypes (Supplementary Table S4). Of the genotypes identified, two were male and six were female. This increased the total number of BTRWs known to be alive at Moora Moora Creek from five to eight and established a sex ratio in the colony of 1:3 male to female (Supplementary Table S5). The female genotypes were designated F1 (34 scats), F2 (54 scats), F3 (37 scats), F4 (13 scats), F5 (18 scats) and F6 (1 scat). The male genotypes were designated M1 (48 scats) and M2 (9 scats) (Supplementary Table S5).

The approximate range of each individual BTRW along the Moora Moora Creek Escarpment was mapped on the basis of the GPS locations of the scats collected and genotyped (Fig. 3ah). Although habitat sharing occurred among all individuals, genotyped BTRW females F4, F5 and F6 and male M2 had far more localised escarpment ranges than did females F1, F2, F3 and male M1.

Fig. 3.

Locations of brush-tailed rock-wallaby (Petrogale penicillata) scats of genotyped (a) female F1, (b) female F2, (c) female F3, (d) female F4, (e) female F5, (f) female F6, (g) male M1 and (h) male M2. Animals are part of the reintroduced colony in Grampians National Park, Australia. C01–C06 indicate the positions of the six remote cameras monitoring the site.

ZO21009_F3.gif

Genetic diversity

An assessment of the genetic diversity of the BTRWs at the Moora Moora Creek colony showed that the average number of alleles per locus (Na) was similar in both the Waite (6 loci; 3.3 ± 0.7) and the Moora Moora Creek (6 loci; 3.3 ± 0.3, 12 loci; 3.8 ± 0.4) BTRW colonies (Supplementary Table S6). The same was true for both expected heterozygosity (He) (Waite, 6 loci; 0.598 ± 0.052; Moora Moora Creek, 6 loci; 0.620 ± 0.051, 12 loci; 0.655 ± 0.029) and observed heterozygosity (Ho) (Waite, 6 loci; 0.865 ± 0.095; Moora Moora Creek, 6 loci; 0.813 ± 0.070, 12 loci; 0.854 ± 0.053). Negative Fis values (Waite, 6 loci; -0.476 ± 0.196; Moora Moora Creek, 6 loci; -0.315 ± 0.052, 12 loci; -0.310 ± 0.067) were calculated for both groups.

Parentage analysis

The probability of exclusion with no parents known was calculated as 1.000. The male M1 was assigned as the most likely sire of two BTRWs (F4 and M2) with at least 95% confidence and of another two BTRWs (F5 and F6) with less than 80% confidence (Table 3). The female F2 was assigned as the most likely mother of F4, F5, and M2 (at least 80% confidence) (Table 3). Female F3 was the most likely mother of female F6 (95% confidence; Table 3), while female F1 was designated as neither mother nor offspring.

Table 3.

Parentage of untagged wild-born brush-tailed rock-wallabies in the Moora Moora Creek colony at the Grampians National Park, Australia.

ZO21009_T3.gif

Discussion

The current study used images gathered from non-invasive camera monitoring and genetic monitoring via scats to assess the status of the reintroduced Moora Moora Creek BTRW colony, and the impact of leaving the colony undisturbed (no supplementation or trapping) for 6 years.

Breeding and recruitment

Camera monitoring showed that all tagged females were breeding. The Moora Moora Creek pouch young appeared to have a higher rate of survival to pouch emergence at 83% than the 73% recorded previously for this species by Wynd et al. (2006). During the 6-year (2008–2013) BTRW colony-establishment phase at Moora Moora Creek, while physical animal/colony interference was occurring, a total of seven pouch young was recorded from 6 of 23 released females, two young were recorded out of pouch and no recruitment into the adult population was observed (Taggart et al. 2015). An increase in the number of pouch young produced per female (0.7/year), in pouch emergence (83%), and in survival of young to subadulthood (n = 2) was thus confirmed during 2014–2017 via camera-monitoring.

In this study, BTRW births in the Moora Moora Creek colony were found to peak in late summer and autumn, with pouch emergence occurring in spring (Taggart et al. 2005; Wynd et al. 2006). This contrasts with earlier reports from Wynd et al. (2006) that found that female BTRWs bred in synchrony in autumn. Tight breeding synchrony, such as that described by Wynd et al. (2006), was observed in female BTRWs at Moora Moora Creek only during 2015, with all young emerging from the pouch within a month of each other.

Previous research suggests that one birth per year is common for BTRWs (Taggart et al. 2005; Wynd et al. 2006); however, the Moora Moora Creek females birthed on average 0.7 pouch young per year. Although the body condition of all individuals recorded on camera at Moora Moora Creek appeared very good, the tagged females were of older ages (between 5 and 8 years old in 2019), which might account for the lower breeding rate as age is known to decrease breeding success (Cassinello and Aldos 1996; Tettamanti et al. 2015). Another explanation may be poor mate choice, with potentially only one dominant adult male available to females at this site.

As the Moora Moora Creek BTRW colony is only small, further monitoring of breeding, which is planned for the colony, will provide more robust estimates of reproductive rates, survival of young and recruitment to the adult population.

Genetic monitoring and diversity

The microsatellite markers used in the current study are different from those used in previous genetic studies on BTRWs, and, so, direct comparisons of genetic diversity cannot be made between the Moora Moora Creek colony and previously published works. Both the Moora Moora Creek and the Waite individuals had a higher Ho than He and negative Fis values are typically representitive of an excess of heterozygotes. As the founder animals of the Moora Moora Creek colony and the Waite individuals come from both the southern and the central ESU (David Taggart, pers. comm.), this genetic mixing may account for a heterozygosity excess. However, another likely explanation is that the small sample size and related individuals of both groups is skewing the diversity statistics (e.g. Hale et al. 2012). The mixed source of the colonies (central and southern ESU) may also explain deviations from Hardy–Weinberg equilibrium because of the Wahlund effect.

The genetic diversity of the Moora Moora Creek BTRW colony is highly comparable to the genetic diversity of the captive Waite individuals, regardless of whether it is calculated at 6 or 12 loci. As the colony is very small and includes only two or possibly three generations, continued breeding without intervention will lead to reduced genetic diversity because of the small number of successful founders, which included a single male and four females. This can have serious consequences, including the reduced ability of a population to adapt to change, loss of fitness through inbreeding depression (Willoughby et al. 2019) and the potential to reduce long-term population growth rates, which are crucial to establishing a reintroduced population (Bozzuto et al. 2019).

Only one male was assigned as a father (M1), and, so, is likely to be the dominant male in the colony. This sire and the dams were predominantly assigned with a high confidence (80–95%); however, M1 was assigned as the father of F5 and F6 with a lower confidence (<80%). This low confidence may be due to the suitability of the microsatellite markers used, because the assessment of markers was limited by the small sample size, as well as because M2 is the full or half sibling of all offspring and so shares many alleles with these individuals. Because M1 shares half its alleles with both F5 and F6, and none of the founders was a full sibling, it is highly likely that M1 is also the father of F5.

Three of the four surviving offspring were assigned to a single dam, female (F2). This bias may be random, may be due to scat sampling effort, with other offspring yet to be discovered, or may indicate that F2 is acting as a dominant breeding female within the colony. Observations of dominant female BTRWs supressing the breeding and/or limiting the successful reproduction of subordinate females has previously been reported (Jarman 1991). This uneven genetic founder representation could increase the rate of inbreeding and loss of genetic fitness within this colony and, ultimately, reduce its population viability if left unchecked (Jamieson 2011).

Genetic monitoring and camera-monitoring

As previously reported in BTRWs and other macropod species, both monitoring techniques identified significant habitat sharing among colony members (Jarman 1991; Laws and Goldizen 2003; Hazlitt et al. 2006b; Molyneux et al. 2011).

Monitoring through faecal genetics and remote cameras produced different population estimates in this study. Camera-monitoring showed that four of the original tagged animals (1 male and 3 females) still survived and one untagged BTRW was present. Faecal genetic monitoring identified eight genotypes within the colony. The results of previous comparisons between these techniques in wildlife species have varied from being highly comparable (Rodgers et al. 2014) to detecting different subsets of the same population (Bluff et al. 2011; Velli et al. 2015).

From the parentage analysis, it is likely that M1, F1, F2, and F3 are the tagged animals. However, the corresponding genotype of the untagged animals identified on camera cannot be determined. As a result of the difficulty in distinguishing untagged BTRWs on camera, we could not be certain how many untagged BTRWs were actually recorded. It is possible, therefore, that the two techniques are detecting different subsets of the colony here as well. These results support previous studies suggesting that non-invasive genetic monitoring and camera-monitoring should be used in combination to obtain the most accurate monitoring results (Bluff et al. 2011; Velli et al. 2015). Such systems can also support each other, because scat searches of sites such as Moora Moora Creek could provide guidance on where to place additional cameras for further monitoring, and both techniques offer unique benefits, such as behavioural observations or genetic analyses.

Both monitoring techniques also had limitations. The information gathered from remote cameras was determined by the number and placement of cameras across the colony. A large limitation of non-invasive faecal genotyping was that the genotypes identified is impacted by the location of the scat searches and the impact of terrain on access across the site.

In this study, less than half the number of scats was found of animals identified as offspring of that of older, parent animals, and all scats of offspring were highly localised within the colony area compared with those of older, parent animals. In particular, only nine scats, over a small area, were identified as belonging to male M2, and DNA from one scat was genotyped as belonging to female F6. This may indicate that older BTRWs at Moora Moora Creek are defending their established home ranges, as has been observed in the allied rock-wallaby (Bleistein et al. 1994; Horsup 1994), thus restricting the location and movement of subordinate animals and potentially forcing them into much smaller areas, or areas less accessible for monitoring. As such, it is possible that BTRWs additional to those currently detected may be present at Moora Moora Creek (Bluff et al. 2011), although, because considerable lengths of escarpment within, and adjacent to, the known colony were searched for scats, it is likely that the majority of individuals in the colony has been detected. Considering the rugged terrain used by BTRWs at the study site, the use of non-invasive genetic methods for population estimates appears appropriate and advantageous.

Insights into the reintroduction success of BTRWs at Moora Moora Creek

Taggart et al. (2015) hypothesised that either regular supplementation of small numbers of naïve captive-bred BTRWs into the establishing Moora Moora Creek colony, or a single larger release of these animals, disrupted colony social cohesion and increased the animal visibility and vulnerability to predation, negatively affecting colony establishment. This hypothesis correlates with the results and observations obtained in this, and other, studies (Moehrenschlager and MacDonald 2003; Shier and Swaisgood 2012). In this study, leaving the BTRW colony undisturbed between 2014 and 2019 through non-invasive monitoring correlated with a decline in BTRW predation, increased breeding, and the recruitment of at least four animals into the adult population. It would appear now that the social structure within the colony has settled without continual disturbances, and along with successful fox baiting and the elimination of resident predators, has promoted breeding and recruitment. This encouraging result justifies continual monitoring of this colony because there is still much to be learnt to inform and improve future reintroduction efforts and recovery of this species.

Despite the benefits of non-invasive monitoring observed in this study, management interventions, such as supplementation, are to be expected if the population is established only on a small number of animals. Non-invasive monitoring can provide information on when such intervention is required, with minimal disturbance to the target population while ensuring that issues, such as inbreeding, do not reach a stage where they severely compromise the population.

Management intervention in the Moora Moora Creek colony took place post-study to address the need for increased genetic diversity. Male 167 was replaced with two new unrelated males. This one-off event of adding new genetics into the colony was deemed worth the risk, despite the colony interference. This lower-level physical interference stands in contrast to that which occurred between 2008 and 2013, when the colony was being regularly interfered with associated trapping for monitoring purposes and the frequent addition of new animals across the colony establishment period. However, the following 8 years (2014–2021), which include the current study, have seen minimal interference owing to camera monitoring and scat genotyping, allowing the animals within the colony to settle and establish.

The results of this study should be considered when planning future reintroductions of highly territorial and social species such as the BTRW (Hazlitt et al. 2004), where limited information is available on breeding rates, survival, recruitment, site carrying capacity, and animal home range in open, unfenced, wild populations.

Supplementary material

Supplementary material is available  online.

Data availability

The data that support this study will be shared upon reasonable request to the corresponding author.

Conflicts of interest

The authors declare no conflicts of interest.

Declaration of funding

The authors acknowledge the support of World Wildlife Fund Australia, The FAUNA Research Alliance Inc. and the Schultz Foundation.

Acknowledgements

We thank Parks Victoria staff who assisted with maintenance of cameras and collection of camera images.

References

1.

Akomo-Okoue EF, Inoue E, Atteke C, Nakashima Y, Hongo S, Inoue-Murayama M, Yamagiwa J (2015) Noninvasive genetic analysis for assessing the abundance of duiker species among habitats in the tropical forest of Moukalaba, Gabon. Mammal Research 60, 375–384. https://doi.org/10.1007/s13364-015-0233-1 Google Scholar

2.

Aussavy M, Bernardin E, Corrigan A, Hufschmid J, Beveridge I (2011) Helminth parasite communities in four species of sympatric macropodids in western Victoria. Australian Mammalogy 33, 13–20. https://doi.org/10.1071/am10020 Google Scholar

3.

Bannister H, Croxford A, Brandle R, Paton DC, Moseby K (2020) Time to adjust: changes in the diet of a reintroduced marsupial after release. Oryx, 55, 755–764. https://doi.org/10.1017/s0030605319000991 Google Scholar

4.

Berger-Tal O, Blumstein DT, Swaisgood RR (2020) Conservation translocations: a review of common difficulties and promising directions. Animal Conservation 23, 121–131. Google Scholar

5.

Bleistein S, Horsup A, Gansloßer U (1994) Border conflicts among territorial rock wallabies (Petrogale assimilis). Aggressive Behaviour 20, 325–333. https://doi.org/10.1002/1098-2337(1994)20:4#325::aid-ab2480200 406#3.0.co;2-v Google Scholar

6.

Bluff LA, Clausen L, Hill A, Bramwell MD (2011) A decade of monitoring the remnant victorian population of the brush-tailed rock-wallaby (Petrogale penicillata). Australian Mammalogy 33, 195–201. https://doi.org/10.1071/am10037 Google Scholar

7.

Bourgeois S, Kaden J, Senn H, Bunnefeld N, Jeffery KJ, Akomo-Okoue EF, Ogden R, McEwing R (2019) Improving cost-efficiency of faecal genotyping: new tools for elephant species. PLoS ONE 14, e0210811. https://doi.org/10.1371/journal.pone.0210811 Google Scholar

8.

Bozzuto C, Biebach I, Muff S, Ives AR, Keller LF (2019) Inbreeding reduces long-term growth of Alpine ibex populations. Nature Ecology & Evolution 3, 1359–1364. https://doi.org/10.1038/s41559-019-0968-1 Google Scholar

9.

Bramwell M, Andrews L, Brook L, Corrigan T, Stevens M, Schultz D, Taggart D (2008) Reintroduction plan for the release of brush-tailed rock-wallabies (Petrogale penicillata) into Moora Moora Creek, Grampians National Park, Victoria. Department of Sustainability and Environment, Bairnsdale, Vic., Australia. Google Scholar

10.

Browning TL, Taggart DA, Rummery C, Close RL, Eldridge MDB (2001) Multifaceted genetic analysis of the “critically endangered” brush-tailed rock-wallaby Petrogale penicillata in Victoria, Australia: implications for management. Conservation Genetics 2, 145–156. https://doi.org/10.1023/a:1011850201944 Google Scholar

11.

Bubac CM, Johnson AC, Fox JA, Cullingham CI (2019) Conservation translocations and post-release monitoring: identifying trends in failures, biases, and challenges from around the world. Biological Conservation 238, 108239. https://doi.org/10.1016/j.biocon.2019.108239 Google Scholar

12.

Camp A, Croxford AE, Ford CS, Baumann U, Clements PR, Hiendleder S, Woolford L, Netzel G, Boardman WSJ, Fletcher MT, Wilkinson MJ (2020) Dual-locus DNA metabarcoding reveals southern hairy-nosed wombats (Lasiorhinus latifrons Owen) have a summer diet dominated by toxic invasive plants. PLoS ONE 15, e0229390. https://doi.org/10.1371/journal.pone.0229390 Google Scholar

13.

Cassinello J, Aldos CL (1996) Female reproductive success in Ammontragus lervia (Bovidae, Artiodactyla). Study of its components and effects of heriarchy and inbreeding. Journal of Zoology 239, 141–153. https://doi.org/10.1111/j.1469-7998.1996.tb05442.x Google Scholar

14.

Claridge AW, Paull DJ, Barry SC (2010) Detection of medium-sized ground-dwelling mammals using infrared digital cameras: an alternative way forward? Australian Mammalogy 32, 165–171. https://doi.org/10.1071/am09039 Google Scholar

15.

Cutler TL, Swann DE (1999) Using remote photography in wildlife ecology: a review. Wildlife Society Bulletin 27, 571–581. Google Scholar

16.

De Bondi N, White JG, Stevens M, Cooke R (2010) A comparison of the effectiveness of camera trapping and live trapping for sampling terrestrial small-mammal communities. Wildlife Research 37, 456–465. https://doi.org/10.1071/wr10046 Google Scholar

17.

Delaney R, Temple-Smith P, McLean N (2005) Strategy for the translocation of the brush-tailed rock-wallaby in Victoria. Report for the Victorian Brush-tailed Rock-wallaby Recovery Team, Department of Sustainability and Environment and Parks Victoria, Vic., Australia. Google Scholar

18.

Dimsoski P (2017) Genotyping horse epithelial cells from fecal matter by isolation of polymerase chain reaction products. Croatian Medical Journal 58, 239–249. https://doi.org/10.3325/cmj.2017.58.239 Google Scholar

19.

Eldridge MDB, Rummery C, Bray C, Zenger KR, Browning T, Close RL (2004) Genetic analysis of a population crash in brushtailed rock-tailed rock-wallabies (Petrogale penicillata) from Jenolan Caves, South-Eastern Australia. Wildlife Research 31, 229–240. https://doi.org/10.1071/wr03030 Google Scholar

20.

Gant JR, Mair L, McGowan PJK (2020) Fragmented evidence for the contribution of ex situ management to species conservation indicates the need for better reporting. Oryx 55, 573–580. https://doi.org/10.1017/s0030605319000784 Google Scholar

21.

Hale ML, Burg TM, Steeves TE (2012) Sampling for microsatellite-based population genetic studies: 25 to 30 individuals per population is enough to accurately estimate allele frequencies. PLoS ONE 7, e45170. https://doi.org/10.1371/journal.pone.0045170 Google Scholar

22.

Hardman B, Moro D, Calver M (2016) Direct evidence implicates feral cat predation as the primary cause of failure of a mammal reintroduction programme. Ecological Management & Restoration 17, 152–158. https://doi.org/10.1111/emr.12210 Google Scholar

23.

Hayward MW, Bellchambers K, Herman K, Bentley J, Legge S (2011) Spatial behaviour of yellow-footed rock-wallabies, Petrogale xanthopus, changes in response to active conservation management. Australian Journal of Zoology 59, 1–8. https://doi.org/10.1071/zo11007 Google Scholar

24.

Hazlitt SL, Eldridge MDB, Goldizen AW (2004) Fine-scale spatial genetic correlation analyses reveal strong female philopatry within a brushtailed rock-wallaby colony in southeast Queensland. Molecular Ecology 13, 3621–3632. https://doi.org/10.1111/j.1365-294x.2004.02342.x Google Scholar

25.

Hazlitt SL, Goldizen AW, Eldridge MDB (2006a) Significant patterns of population genetic structure and limited gene flow in a threatened macropodid marsupial despite continuous habitat in Southeast Queensland, Australia. Conservation Genetics 7, 675–689. https://doi.org/10.1007/s10592-005-9101-x Google Scholar

26.

Hazlitt SL, Goldizen AW, Nicholls JA, Eldridge MDE (2014) Three divergent lineages within an Australian Marsupial (Petrogale penicillata) suggest multiple major refugia for mesic taxa in Southeast Australia. Ecology and Evolution 4, 1102–1116. https://doi.org/10.1002/ece3. 1009 Google Scholar

27.

Hazlitt SL, Sigg DP, Eldridge MDB, Goldizen AW (2006b) Restricted mating dispersal and strong breeding group structure in a mid-sized marsupial mammal (Petrogale penicillata). Molecular Ecology 15, 2997–3007. https://doi.org/10.1111/j.1365-294x.2006.02985.x Google Scholar

28.

Horsup A (1994) Home range of the allied rock-wallaby, Petrogale assimilis. Wildlife Research 21, 65–83. https://doi.org/10.1071/wr9940065 Google Scholar

29.

Hoyle SD, Horsup AB, Johnson CN, Crossman DG, McCallum H (1995) Live-trapping of the northern hairy-nosed wombat (Lasiorhinus krefftii): population-size estimates and effects on individuals. Wildlife Research 22, 741–755. https://doi.org/10.1071/wr9950741 Google Scholar

30.

Jamieson IG (2011) Founder effects, inbreeding, and loss of genetic diversity in four avian reintroduction programs. Conservation Biology 25, 115–123. https://doi.org/10.1111/j.1523-1739.2010.01574.x Google Scholar

31.

Jarman PJ (1991) Social behaviour and organization in the macropodoidea. Advances in the Study of Behaviour 20, 1–50. https://doi.org/10.1016/s0065-3454(08)60318-6 Google Scholar

32.

Jarman PJ, Capararo SM (1996) Use of rock-wallaby faecal pellets for detecting and monitoring populations and examining habitat use. Australian Mammalogy 19, 257–264. https://doi.org/10.1071/am97257Google Scholar

33.

Johnson TF, Brown TJ, Richardson DS, Dugdale HL (2018) The importance of post–translocation monitoring of habitat use and population growth: insights from a Seychelles warbler (Acrocephalus sechellensis) translocation. Journal of Ornithology 159, 439–446. https://doi.org/10.1007/s10336-017-1518-8 Google Scholar

34.

Kalinowski ST, Taper ML, Marshall TC (2007) Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Molecular Ecology 16, 1099–1106. https://doi.org/10.1111/j.1365-294x.2007.03089.x Google Scholar

35.

Katsura Y, Kondo HX, Ryan J, Harley V, Satta Y (2018) The evolutionary process of mammalian sex determination genes focusing on marsupial SRYs. BMC Evolutionary Biology 18, 3. https://doi.org/10.1186/s12862-018-1119-z Google Scholar

36.

Kaufmann JH (1974) Habitat use and social organization of nine sympatric species of macropodid marsupials. Journal of Mammalogy 55, 66–80. https://doi.org/10.2307/1379257 Google Scholar

37.

Kolodzieg K, Nikolov I, Schulz HK, Theissinger K, Schulz R (2013) Evaluation of fecal storage and DNA extraction methods in wild boar (Sus scrofa). Biochemical Genetics 51, 406–412. https://doi.org/10.1007/s10528-013-9573-1 Google Scholar

38.

Koressaar T, Lepamets M, Kaplinski L, Raime K, Andreson R, Remm M (2018) Primer3_masker: integrating masking of template sequence with primer design software. Bioinformatics 34, 1937–1938. https://doi.org/10.1093/bioinformatics/bty036 Google Scholar

39.

Koressaar T, Remm M (2007) Enhancements and modifications of primer design program Primer3. Bioinformatics 23, 1289–1291. https://doi.org/10.1093/bioinformatics/btm091 Google Scholar

40.

Lachish S, Passmore A, Jones M (2011) A new PCR assay for reliable molecular sexing of endangered tasmanian devils (Sarcophilus harrisii) from non-invasive genetic samples. Conservation Genetics Resources 3, 279–281. https://doi.org/10.1007/s12686-010-9341-z Google Scholar

41.

Lapbenjakul S, Thapana W, Twilprawat P, Muangmai N, Kanchanaketu T, Temsiripong Y, Unajak S, Peyachoknagul S, Srikulnath K (2017) High genetic diversity and demographic history of captive Siamese and saltwater crocodiles suggest the first step toward the establishment of a breeding and reintroduction program in Thailand. PLoS ONE 12, e0184526. https://doi.org/10.1371/journal.pone.0184526 Google Scholar

42.

Laws RJ, Goldizen AW (2003) Nocturnal home ranges and social interactions of the brushtailed rock-wallaby Petrogale penicillata at Hurdle Creek, Queensland. Australian Mammalogy 25, 169–176. https://doi.org/10.1071/am03169 Google Scholar

43.

Luikart G, Painter J, Crozier RH, Westerman M, Sherwin WB (1997) Characterization of microsatellite loci in the endangered long-footed potoroo Potorous longipes. Molecular Ecology 6, 497–498. https://doi.org/10.1046/j.1365-294x.1997.00208.x Google Scholar

44.

Mills LS, Citta JJ, Lair KP, Schwartz MK, Tallmon DA (2000) Estimating animal abundance using noninvasive DNA sampling: promise and pitfalls. Ecological Applications 10, 283–294. https://doi.org/10.1890/1051-0761(2000)010[0283:eaaund]2.0.co;2 Google Scholar

45.

Moehrenschlager A, MacDonald DW (2003) Movement and survival parameters of translocated and resident swift foxes Vulpes velox. Animal Conservation 6, 199–206. https://doi.org/10.1017/s1367943003251 Google Scholar

46.

Molyneux J, Taggart DA, Corrigan A, Frey S (2011) Home-range studies in a reintroduced brush-tailed rock-wallaby (Petrogale penicillata) population in the Grampians National Park, Victoria. Australian Mammalogy 33, 128–134. https://doi.org/10.1071/am10039 Google Scholar

47.

Morales-Contreras J, Escalante P, Martínez-Ruíz M, Matías-Ferrer N (2016) Black hawk-eagle (Spizaetus tyrannus) idenitfied by DNA from a feather recovered in the rain-forest region of Veracruz. The Southwestern Naturalist 61, 137–142. https://doi.org/10.1894/0038-4909-61. 2.137 Google Scholar

48.

Moseby KE, Read JL, Paton DC, Copley P, Hill BM, Crisp HA (2011) Predation determines the outcome of 10 reintroduction attempts in arid South Australia. Biological Conservation 144, 2863–2872. https://doi.org/10.1016/j.biocon.2011.08.003 Google Scholar

49.

Moßbrucker AM, Apriyana I, Fickel J, Imron MA, Pudyatmoko S, Sumardi SH (2015) Non-invasive genotyping of sumatran elephants: implications for conservation. Tropical Conservation Science 8, 745–759. https://doi.org/10.1177/194008291500800312 Google Scholar

50.

Paplinska JZ, Taggart DA, Corrigan T, Eldridge MDB, Austin JJ (2011) Using DNA from museum specimens to preserve the integrity of evolutionarily significant unit boundaries in threatened species. Biological Conservation 144, 290–297. https://doi.org/10.1016/j.biocon.2010. 09.005 Google Scholar

51.

Parlato EH, Armstrong DP (2013) Predicting post-release establishment using data from multiple reintroductions. Biological Conservation 160, 97–104. https://doi.org/10.1016/j.biocon.2013.01.013 Google Scholar

52.

Peakall R, Smouse PE (2006) GenAlEx 6: genetic analysis in Excel. Population genetic software for teaching and research: an update. Molecular Ecology Notes 6, 288–295. https://doi.org/10.1111/j.1471-8286.2005. 01155.x Google Scholar

53.

Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research: an update. Bioinformatics 28, 2537–2539. https://doi.org/10.1093/bioinformatics/bts460 Google Scholar

54.

Piggott MP (2004) Effect of sample age and season of collection on the reliability of microsatellite genotyping of faecal DNA. Wildlife Research 31, 485–493. https://doi.org/10.1071/wr03096 Google Scholar

55.

Piggott MP, Banks SC, Stone N, Banffy C, Taylor AC (2006a) Estimating population size of endangered brush-tailed rock-wallaby (Petrogale penicillata) colonies using faecal DNA. Molecular Ecology 15, 81–91. https://doi.org/10.1111/j.1365-294x.2005.02783.xGoogle Scholar

56.

Piggott MP, Banks SC, Taylor AC (2006b) Population structure of brushtailed rock-wallaby (Petrogale penicillata) colonies inferred from analysis of faecal DNA. Molecular Ecology 15, 93–105. https://doi.org/10.1111/j.1365-294x.2005.02784.x Google Scholar

57.

Piggott MP, Hansen B, Soderquist T, Eldridge MDB, Taylor AC (2018) Population monitoring of small and declining brush-tailed rock-wallaby (Petrogale penicillata) colonies at the extreme of their range using faecal DNA sampling. Australian Mammalogy 40, 58–66. https://doi.org/10.1071/am16056 Google Scholar

58.

Piggott MP, Taylor AC (2003) Remote collection of animal DNA and its applications in conservation management and understanding the population biology of rare and cryptic species. Wildlife Research 30, 1–13. https://doi.org/10.1071/wr02077 Google Scholar

59.

Ramón-Laca A, Soriano L, Gleeson D, Godoy JA (2015) A simple and effective method for obtaining mammal DNA from faeces. Wildlife Biology 21, 195–203. https://doi.org/10.2981/wlb.00096 Google Scholar

60.

Raymond M, Rousset F (1995) An exact test for population differentiation. Evolution, 1280–1283. https://doi.org/10.1111/j.1558-5646.1995.tb04456.x Google Scholar

61.

Richards JD, Short J (2003) Reintroduction and establishment of the western barred bandicoot Perameles bougainville (Marsupialia: Peramelidae) at Shark Bay, Western Australia. Biological Conservation 109, 181–195. https://doi.org/10.1016/s0006-3207(02)00140-4 Google Scholar

62.

Robinson NM, Dexter N, Brewster R, Maple D, MacGregor C, Rose C, Hall J, Lindenmayer DB (2020) Be nimble with threat mitigation: lessons learned from the reintroduction of an endangered species. Restoration Ecology 28, 29–38. https://doi.org/10.1111/rec.13028 Google Scholar

63.

Robley A, Ramsey D, Holmes B (2014) Grampians arc fox monitoring research partnership project 2013–2014. Arthur Rylah Institute for Environmental Research, unpublished client report for Parks Victoria, Department of Environment and Primary Industries, Melbourne, Vic., Australia. Google Scholar

64.

Rodgers TW, Giacalone J, Heske EJ, Janecka JE, Phillips CA, Schooley RL (2014) Comparison of noninvasive genetics and camera trapping for estimating population density of ocelots (Leopardus pardalis) on Barro Colorado Island, Panama. Tropical Conservation Science 7, 690–705. https://doi.org/10.1177/194008291400700408 Google Scholar

65.

Rousset F (2008) Genepop'007: a complete re-implementation of the genepop software for Windows and Linux. Molecular Ecology Resources 8, 103–106. https://doi.org/10.1111/j.1471-8286.2007.01931.x Google Scholar

66.

Sabino-Marques H, Ferreira CM, Paupério J, Costa P, Barbosa S, Encarnação C, Alpizar-Jara R, Alves PC, Searle JB, Mira A, Beja P, Pita R (2018) Combining genetic non-invasive sampling with spatially explicit capture–recapture models for density estimation of a patchily distributed small mammal. European Journal of Wildlife Research 64, 44. https://doi.org/10.1007/s10344-018-1206-x Google Scholar

67.

Scott PA, Allison LJ, Field KJ, Averill-Murray RC, Shaffer HB (2020) Individual heterozygosity predicts translocation success in threatened desert tortoises. Science 370, 1086–1089. https://doi.org/10.1126/science.abb0421 Google Scholar

68.

Sharp A (2009) Home range dynamics of the yellow-footed rock-wallaby (Petrogale xanthopus celeris) in central-western Queensland. Austral Ecology 34, 55–68. https://doi.org/10.1111/j.1442-9993.2008.01882.x Google Scholar

69.

Sheean VA, Manning AD, Lindenmayer DB (2012) An assessment of scientific approaches towards species relocations in Australia. Austral Ecology 37, 204–215. https://doi.org/10.1111/j.1442-9993.2011.02264.x Google Scholar

70.

Shier DM, Swaisgood RR (2012) Fitness costs of neighbourhood disruption in translocations of a solitary mammal. Conservation Biology 26, 116–123. https://doi.org/10.1111/j.1523-1739.2011.01748.x Google Scholar

71.

Short J (2016) Predation by feral cats key to the failure of a long-term reintroduction of the western barred bandicoot (Perameles bougainville). Wildlife Research 43, 38–50. https://doi.org/10.1071/wr15070 Google Scholar

72.

Silveira L, Jácomo ATA, Diniz-Filho JAF (2003) Camera trap, line transect census and track surveys: a comparative evaluation. Biological Conservation 114, 351–355. https://doi.org/10.1016/s0006-3207(03)00063-6 Google Scholar

73.

Taggart DA, Schultz D, White C, Whitehead P, Underwood G, Phillips K (2005) Cross-fostering, growth and reproductive studies in the brush-tailed rock-wallaby, Petrogale penicillata (Marsupialia: Macropodidae): efforts to accelerate breeding in a threatened marsupial species. Australian Journal of Zoology 53, 313–323. https://doi.org/10.1071/zo05002 Google Scholar

74.

Taggart DA, Schultz DJ, Corrigan TJ, Schultz TJ, Stevens M, Panther D, White CR (2015) Reintroduction methods and a review of mortality in the brush-tailed rock-wallaby, Grampians National Park, Australia. Australian Journal of Zoology 63, 383–397. https://doi.org/10.1071/zo15029 Google Scholar

75.

Taggart D, Clausen L, Stevens M, Bramwell M, Corrigan A (2008) Brush-tailed rock-wallaby reintroduction site assessment guide for the Grampians National Park, Victoria. Report for the Victorian Brush-tailed Rock Wallaby Recovery Team, Victorian Department of Sustainability and Environment, Melbounrne, Vic., Australia. Google Scholar

76.

Telfer WR, Griffiths AD (2006) Dry-season use of space, habitats and shelters by the short-eared rock-wallaby (Petrogale brachyotis) in the monsoon tropics. Wildlife Research 33, 207–214. https://doi.org/10.1071/wr05032 Google Scholar

77.

Tende T, Hansson B, Ottosson U, Åkesson M, Bensch S (2014) Individual identification and genetic variation of lions (Panthera leo) from two protected areas in Nigeria. PLoS ONE 9, e84288. https://doi.org/10.1371/journal.pone.0084288 Google Scholar

78.

Tettamanti F, Grignolio S, Filli F, Apollonio M, Bize P (2015) Senescence in breeding success of female Alpine chamois (Rupicapra rupicapra): the role of female quality and age. Oecologia 178, 187–195. https://doi.org/10.1007/s00442-014-3197-y Google Scholar

79.

Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, Rozen SG (2012) Primer3: new capabilities and interfaces. Nucleic Acids Research 40, e115. https://doi.org/10.1093/nar/gks596 Google Scholar

80.

Van Oosterhout C, Hutchinson WF, Wills DP, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4, 535–538. https://doi.org/10.1111/j.1471-8286.2004.00684.x Google Scholar

81.

Velli E, Bologna MA, Silvia C, Ragni B, Randi E (2015) Non-invasive monitoring of the european wildcat (Felis silvestris silvestris Schreber, 1777): comparative analysis of three different monitoring techniques and evaluation of their integration. European Journal of Wildlife Research 61, 657–668. https://doi.org/10.1007/s10344-015-0936-2 Google Scholar

82.

Waits LP, Luikart G, Taberlet P (2001) Estimating the probability of identity among genotypes in natural populations: cautions and guidelines. Molecular Ecology 10, 249–256. https://doi.org/10.1046/j.1365-294x.2001. 01185.x Google Scholar

83.

Wakefield N (1961) Victoria's rock-wallabies. Victorian Naturalist 77, 322–332. Google Scholar

84.

Walker FM, Horsup A, Taylor AC (2009) Leader of the pack: faecal pellet deposition order impacts PCR amplification in wombats. Molecular Ecology Resources 9, 720–724. https://doi.org/10.1111/j.1755-0998.2009.02582.x Google Scholar

85.

Watkins GE, Willers N, Raudino H, Kinloch J, van Dongen R (2018) Success criteria not met, but valuable information gained: monitoring a reintroduction of the tammar wallaby. Wildlife Research 45, 421–435. https://doi.org/10.1071/wr17102 Google Scholar

86.

Watson CM, Margan SH, Johnston PG (1998) Sex-chromosome elimination in the bandicoot Isoodon macrourus using Y-linked markers. Cytogenetics and Cell Genetics 81, 54–59. https://doi.org/10.1159/000015008 Google Scholar

87.

Wegge P, Pokheral CP, Jnawali SR (2004) Effects of trapping effort and trap shyness on estimates of tiger abundance from camera trap studies. Animal Conservation 7, 251–256. https://doi.org/10.1017/s1367943 004001441 Google Scholar

88.

White PCL, McClean CJ, Woodroffe GL (2003) Factors affecting the success of an otter (Lutra lutra) reinforcement programme, as identified by post-translocation monitoring. Biological Conservation 112, 363–371. https://doi.org/10.1016/s0006-3207(02)00333-6 Google Scholar

89.

Wilkinson MJ, Szabo C, Ford CS, Yarom Y, Croxford AE, Camp A, Gooding P (2017) Replacing Sanger with next generation sequencing to improve coverage and quality of reference DNA barcodes for plants. Scientific Reports 7, 46040. https://doi.org/10.1038/srep46040 Google Scholar

90.

Willoughby JR, Waser PM, Brüniche-Olsen A, Christie MR (2019) Inbreeding load and inbreeding depression estimated from lifetime reproductive success in a small, dispersal-limited population. Heredity 123, 192–201. https://doi.org/10.1038/s41437-019-0197-z Google Scholar

91.

Woinarski JCZ, Burbidge AA, Harrison PL (2014) Taxon profiles. In‘The Action Plan for Australian Mammals 2012’. pp. 51–857. (CSIRO Publishing: Melbourne, Vic., Australia) Google Scholar

92.

Wynd NM, Sigg DP, Pople AR, Hazlitt SL, Goldizen AW (2006) Factors affecting female reproductive success and the survival of pouch young in the threatened brush-tailed rock-wallaby, Petrogale penicillata. Australian Journal of Zoology 54, 61–70. https://doi.org/10.1071/zo05064 Google Scholar

93.

Zeng Y, Jiang Z, Li C (2007) Genetic variability in relocated Père David's deer (Elaphurus davidianus) populations: iImplications to reintroduction program. Conservation Genetics 8, 1051–1059. https://doi.org/10.1007/s10592-006-9256-0 Google Scholar
© 2021 The Author(s) (or their employer(s)). Published by CSIRO Publishing.
S. Kleemann, D. Sandow, M. Stevens, D. J. Schultz, D. A. Taggart, and A. Croxford "Non-invasive monitoring and reintroduction biology of the brush-tailed rock-wallaby (Petrogale penicillata) in the Grampians National Park, Australia," Australian Journal of Zoology 69(2), 41-54, (8 February 2022). https://doi.org/10.1071/ZO21009
Received: 24 July 2020; Accepted: 13 December 2021; Published: 8 February 2022
KEYWORDS
Camera trap
conservation genetics
genetic monitoring
macropod
marsupial
Petrogale
reintroduction biology
Back to Top