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Erschienen in: Biodiversity and Conservation 6/2021

Open Access 15.04.2021 | Original Paper

Density trends of wild felids in northern Laos

verfasst von: Akchousanh Rasphone, Jan F. Kamler, Mathias Tobler, David W. Macdonald

Erschienen in: Biodiversity and Conservation | Ausgabe 6/2021

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Abstract

Determining the density trends of a guild of species can help illuminate their interactions, and the impacts that humans might have on them. We estimated the density trends from 2013 to 2017 of the clouded leopard Neofelis nebulosa, leopard cat Prionailurus bengalensis and marbled cat Pardofelis marmorata in Nam Et—Phou Louey National Park (NEPL), Laos, using camera trap data and spatial capture-recapture models. Mean (± SD) density estimates (individuals/100 km2) for all years were 1.77 ± 0.30 for clouded leopard, 1.50 ± 0.30 for leopard cat, and 3.80 ± 0.70 for marbled cat. There was a declining trend in density across the study years for all three species, with a ≥ 90% probability of decline for clouded leopard and leopard cat and an 83% probability of decline for marbled cat. There was no evidence that mesopredator release occurred as a result of tiger (Panthera tigris) and leopard (P. pardus) extirpations. We believe that snaring, the factor that led to the extirpation of tiger and leopard in NEPL, is now contributing to the decline of smaller felids, to an extent that over-rides any potential effects of mesopredator release on their densities and interactions. We recommend that the NEPL managers implement a more systematic and intensified snare removal program, in concert with extensive community outreach and engagement of local people to prevent the setting of snares. These actions might be the only hope for saving the remaining members of the felid community in NEPL.
Hinweise
Communicated by Grzegorz Mikusinski.

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s10531-021-02172-0.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Southeast Asia has the highest diversity of felids in the world (Luo et al., 2014) with as many as nine species occupying a diverse range of habitats on the mainland. In the evergreen forests of Southeast Asia, north of the Kra Isthmus, the felid community historically consisted of two large felids, tiger (Panthera tigris) and leopard (P. pardus), together with the “standard four” medium and small felids: clouded leopard (Neofelis nebulosa), Asian golden cat (Catopuma temminckii), marbled cat (Pardofelis marmorata), and leopard cat (Prionailurus bengalensis; Duckworth et al. 2014). Several studies have examined the mechanisms that allow such a diverse felid community to coexist, and have concluded that temporal partitioning and dietary partitioning likely help to facilitate their coexistence (Mukherjee et al. 2019; Nagy-Reis et al. 2019; Kamler et al. 2020; Rasphone et al. 2020). Additionally, smaller felid species may sometimes, but not always, behaviorally avoid larger felid species (McDougal et al. 1988; Horne et al. 2009; Foster et al. 2013; Rostro-García et al. 2015, 2021), thereby further facilitating their coexistence.
Compared to the numerous studies investigating coexistence mechanisms among felid species, few studies have investigated the effects of larger felids on the densities of smaller felids. Regarding the two large felids, some studies have shown that tiger and leopard numbers are inversely related (Harihar et al. 2011; Mondal et al. 2012; Kumar et al. 2019); thus, the tiger can suppress populations of leopard by killing and spatial displacement (Seidensticker 1976; McDougal 1988; Odden and Wegge 2009), at least in some areas. However, whether large felids suppress populations of medium and small felids has never been studied. The mesopredator release hypothesis states that the removal or reduction of large carnivores can result in population increases in medium-sized carnivores (Soulé et al. 1988; Prugh et al. 2009), which has been supported by several studies, mostly on canid communities (Crabtree and Shelden 1999; Kamler et al. 2003, 2013). In turn, an increase in mesocarnivores might cause population declines in small carnivores (Levi and Wilmers 2012).
Southeast Asia is considered one of the most biologically threatened regions in the world primarily because of widespread habitat loss and wildlife poaching (Hughes 2017). In particular, widespread and indiscriminate snaring for the illegal wildlife trade is devastating animal communities and overall biodiversity in region, in what has been called a snaring crises for Southeast Asia (Gray et al. 2017, 2018). Large felids often are targeted for the illegal wildlife trade (Ripple et al. 2016), and their populations are especially susceptible to poaching (Chapron et al. 2008). Consequently, tiger populations have crashed throughout Southeast Asia, and they have become extirpated over a large majority of the region (Goodrich et al. 2015). Similarly, leopard have recently experienced a range collapse in Southeast Asia primarily due to poaching (Rostro-García et al. 2016), and they are now extirpated from 94–98% of their former distribution in the region, and were recently classified as Critically Endangered (Rostro-García et al. 2019). Distributions of medium and small-sized felids have also been reduced in Southeast Asia, although not to the same extent as large felids. For example, the clouded leopard (16–23 kg; Lekagul and McNeely 1977) has been extirpated from most of its former distribution in Southeast Asia due to poaching and habitat fragmentation (Oswell 2010), and this species is classified as Vulnerable (Grassman et al. 2016). Similarly, the distributions of Asian golden cat (12–15 kg) and marbled cat (2–5 kg; Lekagul and McNeely 1977) also have been reduced substantially, and both species are classified as Near Threatened (McCarthy et al. 2015; Ross et al. 2016). In contrast, the leopard cat (3–5 kg; Lekagul and McNeely 1977) is still common and widespread in the region, and is classified as a Least Concern species (Ross et al. 2015).
The loss of tiger and leopard in over 90% of Southeast Asia might have significant implications for the remaining felid communities, especially if mesopredator release is occurring (Macdonald et al. 2010). For example, the extirpation of these two large felids might result in population increases of medium-sized felids, such as clouded leopard and Asian golden cat, at least at the local level. In turn, increases in medium-sized felids might result in population decreases of small felids, such as marbled cat and leopard cat. However, if poaching for the illegal wildlife trade was the primary reason for the extirpation of tiger and leopard at a site, then poachers may subsequently start targeting smaller felids, which ultimately might reduce theirs populations regardless of mesopredator release. For example, clouded leopard and Asian golden cat are often targeted by poachers for their pelt and body parts, and these species are increasingly being used as substitutes for tigers in traditional Asian medicine (D’Cruze and Macdonald 2015; McCarthy et al. 2015; Grassman et al. 2016). Clearly, more research is needed on population trends of medium and small-sized felids in Southeast Asia, especially in areas where tiger and leopard have become extirpated. Such research would help show whether smaller felids benefit from the extirpation of large felids, or whether the same factors that caused the extirpation of large felids are negatively impacting small felid populations as well.
In Lao People's Democratic Republic, hereafter Laos, the Nam Et-Phou Louey National Park (NEPL) is one of the largest and best protected areas in the country. Surveys in 2003–2004 showed that the NEPL had an especially high diversity of mammals, including all six felid species mentioned above (Johnson et al. 2006). In fact, NEPL was identified as a tiger priority site because it contained one of the most important tiger populations in all of Laos, Cambodia, and Vietnam (Walston et al. 2010). However, more recent surveys in 2013–2017 showed that tiger and leopard have become extirpated in NEPL, primarily due to an exponential increase in snaring (Johnson et al. 2016; Rasphone et al. 2019). The loss of tiger and leopard on the remaining felid community is unknown because the density of smaller felids has never been determined in NEPL.
The goal of this study is to determine the density trends of clouded leopard, marbled cat, and leopard cat in NEPL, and to conclude if either mesopredator release or poaching is affecting their densities and interactions. Based on the mesopredator release hypothesis, we predict that clouded leopard densities will increase following the extirpation of tiger, which occurred during the first year of the study. If that prediction is fulfilled, we predict that densities of marbled cat and leopard cat will decrease during the study due to the increasing numbers of clouded leopard. Alternatively, if clouded leopard densities decrease, then snaring could be overriding any potential mesopredator release for this species; thus, snaring might be suppressing densities of marbled cat and leopard cat as well. Given that clouded leopard and marbled cat are a conservation concern, determining which factors most influence their densities will help inform conservation efforts in NEPL and throughout the region. Finally, we also conducted a literature review of previous density estimates for these three felid species, so that our density estimates could be put in context of the entire species’ ranges.

Material and methods

Study area

The Nam Et-Phou Louey National Park (NEPL) is located in the northern highlands of Laos (between latitude 19°50′-20°50′N and longitude 103°00′-103°53′E), bordering Vietnam along its northern boundary (Fig. 1). It spans 5,969 km2 of mountainous terrain across seven districts and three provinces (Houaphan, Luang Prabang, and Xiengkhuang). The topography of NEPL is rugged, with elevation ranging from 400–2,257 m, of which > 60% is above 1,000 m and 91% with slopes > 12% (Johnson 2012). Vegetation is largely dominated by dry evergreen and semi-evergreen forests. However, about a third of the park’s forests are degraded with a canopy cover of less than 20%. The climate is tropical monsoonal with a rainy season lasting from May to October followed by a distinct dry season for the rest of the year, and annual rainfall ranges from 1400 to 1800 mm (Johnson 2012). The fauna is described in detail by Rasphone et al. (2019). The NEPL is divided into two protected zones; a totally protected (core) zone where human access is prohibited and a peripheral managed use zone where specified livelihood activities of local people are permitted following park regulations (Fig. 1). There are 34 villages in the management zone and edge of the core zone in NEPL, but none within our survey blocks (Fig. 1).

Camera trapping

We used systematic camera trap surveys to estimate densities of three felid species in the NEPL. From 2013 to 2017, we carried out three surveys in each of three blocks within the NEPL core zone: Nam Poung—Na Vaen (NPNV), Pha Daeng (PD), and Phoupha—Siphou (PS; Fig. 1; Table 1). In 2014 we also surveyed a fourth block in the eastern part of the core zone (Rasphone et al. 2019), but because this block was not surveyed in subsequent years due to limited resources, we excluded data from this block in our analyses. During each year, blocks were surveyed sequentially primarily during the dry season.
Table 1
Camera trap survey information for three blocks in Nam Et—Phou Louey National Park, Laos, during three survey periods (2013–2014, 2015–2016, and 2017)
Block name
Survey period
Duration (in days)
No. stations
Percent (%) stolen
Trap nights
Elevation (m)
Nam Poung-Na Vaen
      
 
1
53
80
2.5
3,831
983–2185
 
2
52
80
6.3
3,200
983–2185
 
3
52
80
7.5
3,530
983–2185
Pha Daeng
      
 
1
51
80
2.5
3,693
709–1739
 
2
51
80
6.3
3,282
709–1739
 
3
50
80
7.5
3,240
709–1739
Phoupha-Siphou
      
 
1
54
80
10.0
3,446
629–1514
 
2
50
80
18.8
3,003
629–1514
 
3
49
80
32.5
1,977
629–1514
For each of block (~ 200 km2 each), cameras were set in pairs at 80 stations (a total of 160 cameras) in a regular grid with 1.0–1.5 km spacing between stations for 49–54 days (Table 1). The distance between stations was based on previous camera-trapping studies that targeted clouded leopards, as this distance was shown to be adequate for estimating density of this species given its home range size (Singh and Macdonald 2017; Naing et al. 2018). This distance also was shown to be adequate for estimating densities of marbled cats and leopard cats based on their home range sizes (Mohamed et al. 2013; Srivathsa et al. 2015; Hearn et al. 2016; Singh and Macdonald 2017). We assumed our survey period of 1.5–2 months was adequate for population closure in the felid populations, because previous studies on felids suggested survey periods of 2–3 months for population closure (Karanth and Nichols 1998; Weingarth et al. 2015; Rostro-García et al. 2018). A recent study suggests that longer survey periods can increase detection success and lead to lower estimation bias for slow-living species, unless the survey period overlaps the reproductive season of the target species (Dupont et al. 2019). In our case, we chose to sample more areas of the park by surveying different blocks sequentially within the dry season, instead of setting cameras in one block for the entire period. We feel that this was a good compromise given our limited number of cameras (n = 160), lack of knowledge about the reproductive season of the felid species, and the relatively large area of the NEPL core zone. We used a mixture of infrared camera trap models: CuddeBack Ambush IR (infrared)–Model 1187 (CuddeBack Digital, USA), Reconyx HYPERFIRE HC500 (Reconyx, USA), and MAGINON—WK 3 HD (Supra Foto-Elektronik-Vertriebs-GmbH, Germany).
Elevation of stations ranged from 629–2,185 m (Table 1); 16% of the stations were below 1000 m, 16% were between 1000 to 1500 m, and 68% were above 1500 m. About 63% of the stations were in closed evergreen and high density mixed deciduous forests while the rest were in shrub/bamboo forest, grassland and regeneration/agricultural areas. Elevation ranges and habitat were relatively similar among the survey blocks (Table 1). The cameras were placed mostly along ridge lines and animal trails, and at points where trails met streams. Each camera was mounted onto a tree and its motion sensor was set at 35 cm above ground (approximate shoulder height of clouded leopard).

Analysis

We used spatially explicit capture-recapture (SCR) models to estimate population density of the three felid species from our camera-trap data from three survey periods (2013–2014, 2015–2016, and 2017). We identified individuals of the clouded leopard, marbled cat and leopard cat by comparing and matching their pelage patterns from all the camera trap photographs. Records with both right and left flank photographs were matched first and verified based on the location, date and time of encounters before assigning their final identities. In a second step we matched all encounters where we only had either the left or the right flanks. To estimate density, the encounters of all individuals with full identities along with encounters of the flank that had the largest number of captures (either only lefts or only rights) were used. Images of a fourth felid species, the Asian golden cat, were captured, but distinguishing among individuals of this species is difficult due to lack of unique pelage markings; therefore, this species was not included in the analysis.
The densities of the clouded leopard, leopard cat and marbled cat were estimated using a SCR model in a Bayesian framework adapted from Royle and Gardner (2011). While open-population SCR models exist that can directly model survival and recruitment (Gardner et al. 2010), we had too few re-captures of individuals across years to use these models. Instead, we extended the basic SCR model to analyse data from three survey years by stacking three independent models that can share parameters. Given similar habitat types and our use of a standardized survey design, we assumed detection parameters were comparable across sampling blocks and survey years. This allowed us to hold \({\lambda }_{0}\) (the probability of capture when the distance between the animal’s activity center and the trap is zero) and σ (the movement parameters determining the rate of decline in detection probability as function of distance from activity center to the trap) constant for each species across the three years while allowing for a difference in density. Sharing parameters across survey years in this manner should lead to improved parameters estimates, particularly when recapture data from individual sampling blocks or years are too limited to analyse separately (Sollmann et al. 2014). We did not consider sex as a covariate because the sex of many individuals was unknown (Table 2), therefore only the basic model described above was used for the density estimations. In our analysis, we used buffers of 15 km for clouded leopard and 10 km for both marbled cat and leopard cat to define habitat masks required for our SCR models.
Table 2
Photographic records of clouded leopard, leopard cat, and marbled cat from three surveys pooled across three blocks in Nam Et—Phou Louey National Park, Laos
Species
Survey year
No. stations
Naïve
occupancy (%)
No. photosa
No. individuals (M/F/Unknown)
Recaptured from previous year
Cumulative no. animals
Clouded leopard
2013–14
224
15.2
57
18 (7/7/4)
18
2015–16
215
21.9
61
19 (9/7/3)
4
33
2017
202
7.4
24
10 (3/3/4)
2b
41
Leopard cat
2013–14
224
9.4
41
17 (4/5/8)
17
2015–16
215
30.7
111
18 (11/2/5)
1
35
2017
202
6.4
48
9 (5/3/1)
0
39
Marbled cat
2013–14
224
13.8
48
19 (1/5/13)
19
2015–16
215
12.1
43
15 (1/8/6)
3
33
2017
202
5.4
32
11 (1/6/4)
0
42
aNumber of notionally independent photographs (> 30 min apart)
bOne individual clouded leopard was photographed during all three survey years
We implemented the models in a Bayesian framework and ran them in JAGS (Plummer 2003) using jagsUI in R (R Core Team 2017). We used a half-normal detection function and a Poisson encounter model. The Markov Chain Monte Carlo (MCMC) algorithm was run with 3 MCMC chains with 100, 000 iterations and a thinning rate of 10 after discarding the first 50,000 samples.
After estimating a density for each year, we then calculated the trend by taking the ratio between the first and the last survey periods (D1: 2013/14, D2: 2017).
$$Trend=\frac{{D}_{2}}{{D}_{1}}-1$$
An important advantage of implementing the model in a Bayesian framework is the ability to obtain a posterior distribution on the change in density, enabling us to derive a point estimate of trend as well as drawing probabilistic conclusions of the genre “We are 90% certain that the population has increased/decreased by 30%”.

Results

The cumulative survey effort across years and blocks was 29,244 trap nights (Table 1). Camera theft increased across years for all blocks (Table 1), and the overall percentage of camera theft was 5.0%, 10.5% and 15.8% of stations per year. The surveys yielded photographs of 10–19 individuals/year for clouded leopards, 9–18 individual/year for leopard cats, and 11–19 individuals/year for marbled cats (Table 2). Across species, only 1–4 individuals were recaptured during the second year, and 0–2 individuals were recaptured the third year (Table 2), indicating high annual turnover in the population for all three species. Only one individual, a clouded leopard, was photographed during all three survey years. Naïve occupancy across years ranged from 7–22% for clouded leopard, 6–31% for leopard cat, and 5–14% for marbled cat, and naïve occupancy was lowest in the third year of the survey for all three felids (Table 2).
In our density analysis, we assessed model convergence based on Gelman-Rubin diagnostics and the Rhat values from MCMC results (at convergence, Rhat = 1) and found that all SCR models for the three species had successfully converged. For the clouded leopard, the posterior mean densities for the first and second survey years were similar, whereas density appeared to decrease the third survey year (Fig. 2; Table 3). The average density estimate across years was 1.70 ± 0.30 individuals/100 km2. Similarly, for the leopard cat, the estimated mean densities were relatively similar for the first two survey years, whereas density appeared to decline the third survey year (Fig. 2; Table 3). The average density across years was 1.50 ± 0.30 individuals/100 km2. For the marbled cat, its estimated density declined steadily during all three survey years (Fig. 2; Table 3), and its average density across years was 3.80 ± 0.70 individuals/100 km2.
Table 3
Summary statistics of spatial capture–recapture models fit to camera-trap data from 2013 to 2014 (D1), 2015–2016 (D2), 2017 (D3) and overall average (D) for three felid species of the Nam Et- Phou Louey National Park, Laos. The D represents individuals/100 km2
 
Clouded leopard
Leopard cat
Marbled cat
 
Mean ± SD
95% CIa
Mean ± SD
95% CI
Mean ± SD
95% CI
D1
1.77 ± 0.43
1.35–2.20
1.51 ± 0.35
1.16–1.87
4.40 ± 1.07
3.32–5.47
D2
2.04 ± 0.48
1.56–2.52
1.91 ± 0.43
1.48–2.34
3.95 ± 1.07
2.88–5.02
D3
1.18 ± 0.36
0.82–1.54
0.94 ± 0.29
0.65–1.23
3.18 ± 0.99
2.20–4.17
D
1.70 ± 0.30
1.40–2.00
1.50 ± 0.30
1.20–1.80
3.80 ± 0.70
3.10–4.50
σb
3.29 ± 0.37
2.92–3.66
3.27 ± 0.37
2.90–3.64
1.49 ± 0.18
1.31–1.67
λ0c
0.03 ± 0.01
0.02–0.04
0.04 ± 0.01
0.03–0.05
0.05 ± 0.01
0.04–0.06
aCI = credible interval
bσ = movement parameter (km)
cλ0 = baseline trap encounter rate (photographs per 10 days)
Based on the posterior distribution of the change in density, there was a 90% probability of a decline in density for the clouded leopard, 93% for the leopard cat, and 83% for the marbled cat. Analysis indicated that we were 83% certain that the clouded leopard population decreased at least 10% during the study. Similarly, we were 88% certain that the leopard cat population declined at least 10%, whereas we were 75% certain that the marbled cat population declined at least 10%.
The estimates of movement parameters were similar for the clouded leopard and leopard cat, which both were more than twice as high as for the marbled cat (Table 3). The baseline encounter rates were similar for all three species (Table 3).

Discussion

We present the first density estimates of clouded leopard, leopard cat and marbled cat in Laos, and the first density trends of these species from anywhere in Asia. Compared to previous studies, our overall density estimate for clouded leopard was within the range reported for this species, whereas overall density estimates for both leopard cat and marbled cat were the lowest ever reported for these species (Table 4). Across four years in one of the most important protected areas in Southeast Asia, we found high (≥ 90%) probability of density declines for clouded leopard and leopard cat, with evidence, albeit a lower (83%) probability, of a decline for marbled cat. The declining trend for all three species was consistent with the high annual turn-over of the individuals we recorded, indicating a high annual mortality for all three species. Additionally, naïve occupancy was lowest for all three felid species during the last survey year. These declines were against a background of evidence that snaring began and exponentially increased in NEPL from 2008 to 2012 (Johnson et al. 2016). Snaring has not been quantified in NEPL since 2013, however, the opinion amongst protected area staff and our field teams in NEPL is that snaring has continued to proliferate since the exponential increase recorded from 2008 to 2012, which is consistent with trends of increased snaring recorded throughout Southeast Asia (Gray et al. 2017, 2018). In support of this view, we photographed poachers on numerous occasions and the increasing theft of cameras across years in all blocks likely indicated an increasing trend of illegal human activity in NEPL during our study. Therefore, we conclude that a continuous increase in snaring within NEPL for the illegal wildlife trade was the most likely cause for the decline of all three felid species.
Table 4
Summary of reported density estimates of clouded leopard, leopard cat and marbled cat based on the use of SCR techniques (sorted from lowest to highest estimates)
Sitea
Density (Ind.b/100 km2)
95% CIc
SCR methodd
Tiger/Leopard Presence
Source
Clouded Leopard (Neofelis nebulosa)
     
 Bhutan (country wide)
0.40 ± 0.10
0.16–0.75
Bayesian
Yes
Penjor et al. (2018)
 Htamanthi WS (Catchment 1), Myanmar
0.60 ± 0.24
0.32–1.09
Bayesian
Yes
Naing et al. (2019)
 Nam Et-Phou Louey National Park, Laos
1.70 ± 0.30
1.10–2.30
Bayesian
Yes/No
This study
 Royal Belum State Park, Malaysia
1.83 ± 0.61
0.97–3.48
MLH
Yes
Mohamad et al. (2015)
 Htamanthi WS (Catchment 2), Myanmar
3.05 ± 1.03
1.27–5.06
Bayesian
Yes
Naing et al. (2019)
 Temengor FR, Malaysia
3.46 ± 1.00
1.98–6.04
MLH
Yes
Mohamad et al. (2015)
 Manas National Park, India
4.73 ± 1.43
NA
MLH
Yes
Borah et al. (2013)
 Khlong Saeng-Khao Sok Complex, Thailand
5.06 ± 1.64
2.75–9.41
MLH
No
Petersen et al. (2020)
 Dampa WR, India
5.14 ± 1.80
2.05–8.72
Bayesian
No
Singh and Macdonald (2017)
Leopard cat (Priornailurus bengalensis)
     
 Nam Et-Phou Louey National Park, Laos
1.50 ± 0.30
1.00–2.00
Bayesian
Yes/no
This study
 Bilingiri Rangaswamy Temple Tiger Reserve, India
4.48 ± 1.31
2.17–7.08
Bayesian
Yes
Srivathsa et al. (2015)
 Deramakot FR, Sabah Malaysia
9.60 ± 1.70
6.69–12.98
Bayesian
No
Mohamed et al. (2013)
 Bhadra Tiger Reserve, India
10.45 ± 3.03
5.14–16.50
Bayesian
Yes
Srivathsa et al. (2015)
 Tang Kulap-Pinangah FR, Sabah, Malaysia
12.40 ± 1.60
9.49–15.73
Bayesian
No
Mohamed et al. (2013)
 Segaliud Lokan FR, Sabah, Malaysia
16.5 ± 2.00
12.99–16.37
Bayesian
No
Mohamed et al. 2013
 Khangchendzonga Biosphere Reserve, India
17.52 ± 5.52
8.80–26.80
Bayesian
No
Bashir et al. (2013)
 Sakaerat Biosphere Reserve, Thailand
17.70 ± 3.90
11.50–27.20
MLH
No
Petersen et al. (2019)
Marbled cat (Pardofelis marmorata)
     
 Nam Et-Phou Louey National Park, Laos
3.80 ± 0.70
2.60–5.50
Bayesian
Yes/no
This study
 Dampa WR, India
5.03 ± 2.07
1.67–9.50
Bayesian
No
Singh and Macdonald (2017)
 Tawau Hills Park, Sabah, Malaysia
7.10 ± 1.90
3.81–10.73
Bayesian
No
Hearn et al. (2016)
 Htamanthi WS, Myanmar
8.80 ± 2.00
NA
Bayesian
Yes
Naing et al. (2019)
 Tabin WR (north), Sabah, Malaysia
10.45 ± 3.38
4.28–16.91
Bayesian
No
Hearn et al. (2016)
 Danum Valley Conservation Area, Sabah, Malaysia
19.57 ± 8.36
6.87–36.65
Bayesian
No
Hearn et al. (2016)
aWS = wildlife sanctuary; WR = wildlife reserve; FR = forest reserve
bInd = Individual
cCI = confidence interval for Maximum Likelihood or credible interval for Bayesian; NA = not available
dMLH = Maximum Likelihood method; SCR = Spatially explicit capture-recapture
We are unsure if poachers in NEPL targeted medium and small-sized felids, or if snaring was indiscriminate and felids were simply by-catch in snares set for more common species, such as muntjac and wild pig. Clouded leopards are targeted by poachers for the illegal wildlife trade (D’Cruze and Macdonald 2015), and their bones are used as substitutes for tigers in traditional Asian medicine (Oswell 2010; Grassman et al. 2016). Consequently poaching has been shown to decrease clouded leopard densities in Thailand (Petersen et al. 2020). Even smaller felids such as marbled cat and leopard cat are valued for their skin, meat, and bones (Ross et al. 2015, 2016). After the extirpation of the tiger in NEPL, we suspect that most snaring was relatively indiscriminate, which is typical of that reported for other areas of Southeast Asia (Gray et al. 2017, 2018), with a primary focus on medium and small-sized ungulates and carnivores. Although clouded leopard and marbled cat are considered more arboreal than leopard cat (Grassman et al. 2016; Ross et al. 2016), the former two species used trails extensively in NEPL, and we recorded a similar number of all three felid species in our cameras, which were set only along trails. Thus, despite presumed difference in behaviour and ecology among the felid species, their susceptibility to snares likely was similar in NEPL probably because all three species appeared to regularly travel along animal trails, which is typically where poachers set snares. We expect the densities of all three felid species to continue to decrease unless snaring is reduced within NEPL.
We found no evidence of mesopredator release following the extirpation of tiger in NEPL (Rasphone et al. 2019), but we suspect that any such effect could have been masked by the impact of snaring. Based on experimental research on other carnivores (Kamler et al. 2003), the extirpation of large felids should have resulted in an immediate increase in clouded leopard if mesopredator suppression was occurring. Our literature review showed that the highest densities of clouded leopard were reported from sites where tiger and leopard were absent (Table 4), which is consistent with the mesopredator release hypothesis. This is supported by research in India and Thailand, which showed the highest reported densities of clouded leopard were thought to be due to mesopredator release because the local tiger and leopard populations had become extirpated or had very low densities (Singh and Macdonald 2017; Petersen et al. 2020). Regarding marbled cat and leopard cat, the pattern across studies appeared to show that the highest reported densities of these felids also were from sites where tiger and leopard were absent (Table 4) which is unexpected under the mesopredator release hypothesis that predicts small felids should benefit from the presence of large felids via the suppression of mesofelids. Nonetheless, consistent with the pattern shown in Table 4, tiger and leopard regularly kill and consume medium and small-sized felids (Hayward et al. 2006; Simcharoen et al. 2018), including leopard cat (Rostro-García et al. 2018), suggesting that all smaller felid species might benefit numerically from the absence of large felids. Overall, it appears that densities of medium and small felids tend to be higher at sites were large felids are absent, unless poaching is relatively high. However, future research is needed to test this hypothesis.
Alternatively, factors other than poaching, such as habitat loss or prey declines, could have caused the decline in medium and small-sized felids in NEPL. Although habitat loss and fragmentation reportedly are significant threats to both clouded leopards and marbled cats in Southeast Asia (Grassman et al. 2016; Ross et al. 2016; Cushman et al. 2017), there was no large scale logging or other major new human disturbance of habitats within NEPL during our study. Additionally, recent range-wide habitat modelling of clouded leopard indicated that NEPL is still suitable for them (Macdonald et al. 2019). Therefore, habitat loss was not likely a factor in the decline of felids in NEPL. Alarmingly, our density estimate for the leopard cat was the lowest recorded for this species, which raises further concern about the impact of snaring in NEPL, especially given that leopard cat is a generalist species that attain relatively high densities in other parts of their range, even in habitats that are fragmented and heavily altered by humans (Mohamed et al. 2013; Chua et al. 2016; Petersen et al. 2019).
Clouded leopards reportedly have a diverse diet that includes small- and medium-sized ungulates, primates, brush-tailed porcupines (Atherurus macrourus), pangolins (Manis javanica), squirrels, and pheasants (Nowell and Jackson 1996; Grassman et al. 2005). It is doubtful that all these prey species significantly declined in our study. Even if all of these potential prey species declined during our study, then clouded leopards would have declined in concert with them only if prey populations were limiting clouded leopard densities. Given the relatively low density of clouded leopards in NEPL, and the high diversity of potential prey that we recorded, it is highly unlikely that the clouded leopard population was limited by prey. The diets of marbled cats and leopard cats also are diverse, and reportedly consist primarily of small rodents (Nowell and Jackson 1996; Kamler et al. 2020; Rostro-García et al. 2021). It is doubtful that all species of small rodents significantly declined during our study, especially because small rodents are not targeted by poachers because these species are too small to be captured in snares. Also, given the low densities of marbled cats and leopard cats in our study, and the relatively high diversity of small rodents potentially occurring in NEPL (about 30 species from 16 genera; Lunde and Son 2001), it is highly unlikely that small rodent abundance was limiting the populations of either small felid species.
Immediate actions are needed to reduce poaching in NEPL, although effective anti-poaching programs typically are difficult to implement. Nonetheless, in other areas of Southeast Asia, poaching within protected areas has been reduced using several methods. In Kuiburi National Park, Thailand, a community outreach program resulted in a decrease in poaching and recovery of hunted wildlife populations within the park (Steinmetz et al. 2014). In Huai Kha Khaeng Wildlife Sanctuary, Thailand, the development of systematic and intensified enforcement regime was developed, which included the collection of detailed data by rangers in the field, along with increased patrol days and patrol distances (Duangchantrasiri et al. 2016). This effective enforcement program was successful in reducing poaching and maintaining the tiger density in the sanctuary (Duangchantrasiri et al. 2016). However, snare detectability by rangers in tropical forests of Southeast Asia is relatively low (Ibbett et al. 2020), consequently snaring can increase exponentially in a park even with greater funding for enforcement and increases in days patrolled, as observed in NEPL (Johnson et al. 2016). Therefore, we recommend that the NEPL managers implement a more systematic and intensified snare removal program, in concert with extensive community outreach and engagement of local people to prevent the setting of snares. Carrying out this two-pronged strategy may be the only hope to avert the extirpations of the remaining felid species in NEPL.

Acknowledgements

We thank the Wildlife Conservation Society, Laos, and the Nam Et—Phou Louey National Park for their extensive in-kind support and for their efforts towards planning and implementing the research. For data collection and management, we thank Mr. Phonesouk Chanthalavong for his excellent assistance in field work preparation and implementation, and data management. We further thank Mike Meredith, and Ngumbang Juat for their guidance. The research was supported by a grant to DWM from the Robertson Foundation and National Geographic Society, for which we are deeply grateful.

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Metadaten
Titel
Density trends of wild felids in northern Laos
verfasst von
Akchousanh Rasphone
Jan F. Kamler
Mathias Tobler
David W. Macdonald
Publikationsdatum
15.04.2021
Verlag
Springer Netherlands
Erschienen in
Biodiversity and Conservation / Ausgabe 6/2021
Print ISSN: 0960-3115
Elektronische ISSN: 1572-9710
DOI
https://doi.org/10.1007/s10531-021-02172-0

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