Ahmad, S., Rehman, E. U., Ali, H., Din, N., Haider, J., Din, J. U., Nawaz, M. A. (2022). Density Pattern of Flare-Horned Markhor (Capra falconeri) in Northern Pakistan. Sustainability, 14(9567), 1–13.
Abstract: Wild ungulates play vital roles in maintaining a balanced ecosystem through herbivory and are also an important determinant of carnivores’ density. The flare-horned markhor (Capra falconeri) is a threatened wild goat distributed across the mountain ranges of Pakistan, India, Afghanistan, Russia, Turkmenistan, Uzbekistan, and Tajikistan. The remote terrain and fragmented population limit our understanding of the population ecology of markhor, though knowledge of the target species population is vital for making informed management decisions. Therefore, the current study was designed to determine the markhor population across their range in Northern Pakistan and to evaluate the efforts made by the government and non-government organizations for the conservation of markhor. Double-observer surveys were conducted during 2019–2021 in nine major watersheds of Khyber Pakhtunkhwa and Gilgit-Baltistan covering an area of 4664 km2. Secondary data were collected for unassessed areas to gain a holistic overview of the markhor population and density in the region. Results revealed a markhor population of 7579, with a density of 0.30 animals per km2 in Northern Pakistan. Our analysis of the double-observer data through the Bayesian behavioral capture–recapture model estimated a population of 5993 individuals (95% CI) of markhor across
nine study sites, with a density of 1.28 animals per km . A review of secondary data revealed that
a population of about 1586 was present in the un-surveyed area (20,033.33 km2), with a density
of 0.08 per km . A total of 146 groups of markhor were counted, with a mean group size of 23
(3–58) individuals. There were 109 males and 108 young per 100 females in the population. Among 1936 recorded males, Class I males accounted for 27.74%, followed by Class II (26.45%), Class IV (trophy-size) (23.40%), and Class III (22.42%). The overall detection probability was recorded as 0.87 and 0.68 for the first observer and second observer, respectively. Compared with the past reports, the population of markhor in Northern Pakistan appears to be increasing, particularly in protected areas (PAs) such as national parks and community-controlled hunting areas (CCHAs). Conservation programs, notably trophy hunting and PA networks, appear to be vital in sustaining markhor populations in parts of the species range. We recommend expansion in such programs in the markhor range in order to maintain a viable population of this majestic wild goat in the region.
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the
locations at which animals were detected (their spatial capture
histories) to estimate animal density. Despite the often large expense
and effort involved in placing detectors in a landscape, there has been
relatively little work on how detectors should be located. A natural
criterion is to place traps so as to maximize the precision of density
estimators, but the lack of a closed-form expression for precision has
made optimizing this criterion computationally demanding. 2. Recent
results by Efford and Boulanger (2019) show that precision can be well
approximated by a function of the expected number of detected
individuals and expected number of recapture events, both of which can
be evaluated at low computational cost. We use these results to develop
a method for obtaining survey designs that optimize this approximate
precision for SCR studies using count or binary proximity detectors, or
multi-catch traps. 3. We show how the basic design protocol can be
extended to incorporate spatially varying distributions of activity
centres and animal detectability. We illustrate our approach by
simulating from a camera trap study of snow leopards in Mongolia and
comparing estimates from our designs to those generated by regular or
optimized grid designs. Optimizing detector placement increased the
number of detected individuals and recaptures, but this did not always
lead to more precise density estimators due to less precise estimation
of the effective sampling area. In most cases, the precision of density
estimators was comparable to that obtained with grid designs, with
improvement in some scenarios where approximate CV(¬D) < 20% and density
varied spatially. 4. Designs generated using our approach are
transparent and statistically grounded. They can be produced for survey
regions of any shape, adapt to known information about animal density
and detectability, and are potentially easier and less costly to
implement. We recommend their use as good, flexible candidate designs
for SCR surveys when reasonable knowledge of model parameters exists. We
provide software for researchers to construct their own designs, in the
form of updates to design functions in the r package oSCR.
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Zhang, L., Lian, X., Yang, X. (2020). Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions. Artic, Antartic and Alpine Research, 52(1), 541–550.
Abstract: Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream.
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Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. (2020). Spatial variation in population-density, movement and detectability of snow leopards in
2 a multiple use landscape in Spiti Valley, Trans-Himalaya. bioRxiv, .
Abstract: The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation.
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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C.,
Suryawanshi, K. (2020). Understanding population baselines: status of mountain ungulate
populations in the Central Tien Shan Mountains, Kyrgyzstan. Mammalia, , 1–8.
Abstract: We assessed the density of argali (Ovis ammon) and ibex
(Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring
Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use
landscape which is a partly licenced hunting concession for mountain
ungulates and has several livestock herders and their permanent
residential structures. Population monitoring of mountain ungulates can
help in setting measurable conservation targets such as appropriate
trophy hunting quotas and to assess habitat suitability for predators
like snow leopards (Panthera uncia). We employed the double-observer
method to survey 573 km2 of mountain ungulate habitat inside Sarychat
and 407 km2 inside Koiluu. The estimated densities of ibex and argali in
Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI
1.01–2.20) individuals km-2, respectively. Total ungulate density in
Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record
argali in Koiluu, whereas the density of ibex was 0.75 (95% CI
0.50–1.27) individuals km-2. While strictly protected areas can achieve
high densities of mountain ungulates, multi-use areas can harbour
meaningful
though suppressed populations. Conservation of mountain ungulates and
their predators can be enhanced by maintaining Sarychat-like “pristine”
areas interspersed within a matrix of multi-use areas like Koiluu.
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Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. (2020). Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study. bioRxiv, , 1–21.
Abstract: Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.
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Poyarkov, A. D., Munkhtsog, B., Korablev, M. P., Kuksin, A. N., Alexandrov, D. Y., Chistopolova, M. D., Hernandez-Blanco, J. A., Munkhtogtokh, O., Karnaukhov, A. S., Lkhamsuren, N., Bayaraa, M., Jackson, R. M., Maheshwari, A., Rozhnov, V. V. (2020). Assurance of the existence of a trans-boundary population of the snow leopard (Panthera uncia) at Tsagaanshuvuut – Tsagan- Shibetu SPA at the Mongolia-Russia border. Integrative Zoology, (15), 224–231.
Abstract: The existence of a trans-boundary population of the snow leopard (Panthera uncia) that inhabits the massifs of Tsagaanshuvuut (Mongolia) – Tsagan-Shibetu (Russia) was determined through non-invasive genetic analysis of scat samples and by studying the structure of territory use by a collared female individual. The genetic analysis included species identification of samples through sequencing of a fragment of the cytochrome b gene and individual identification using a panel of 8 microsatellites. The home range of a female snow leopard marked with a satellite Global Positioning System (GPS) collar was represented by the minimum convex polygon method (MCP) 100, the MCP 95 method and the fixed kernel 95 method. The results revealed insignificant genetic differentiation between snow leopards that inhabit both massifs (minimal fixation index [FST]), and the data testify to the unity of the cross-border group. Moreover, 5 common individuals were identified from Mongolian and Russian territories. This finding clearly shows that their home range includes territories of both countries. In addition, regular movement of a collared snow leopard in Mongolia and Russia confirmed the existence of a cross-border snow leopard group. These data support that trans-boundary conservation is important for snow leopards in both countries. We conclude that it is crucial for Russia to study the northern range of snow leopards in Asia.
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Namgay, K. (2007). Snow Leopard and Prey Population Conservation in Bhutan.
Abstract: Snow leopard conservation work in Bhutan dates back to 1999 and 2000 when the International Snow Leopard Trust-in collaboration with the Royal Government of Bhutan and World Wildlife Fund-initiated a training workshop. More than 30 government staff were trained in SLIMS survey techniques. As a part of the training exercise, a preliminary survey on snow leopard was also carried out using the SLIMS methods in Jigme Dorji Wangchuck National Park. Based on the survey results, we estimated there was a population of 100 snow leopards in the wild and 10,000 km2 of habitat. In 2005, World Wildlife Fund (WWF) organized the WWF/South Asia Regional Workshop on Snow leopard Conservation in Bhutan. Both regional (Bhutan, India, China, Nepal and Pakistan) and international experts revisited the snow leopard programs and developed a work plan for the overall conservation of the snow leopard in the region. This led to WWF's Regional Snow leopard Conservation Strategy. WWF is pleased to submit our final report to the International Snow Leopard Trust on the oneyear, $8,000 grant in support of Snow Leopard and Prey Population Conservation in Bhutan. With the support of the Snow Leopard Trust, we have made great strides towards achieving our goal for this project: To determine the current status of snow leopard and ungulate prey populations in prime snow leopard habitats. Major accomplishments and activities completed thanks to the generous support of the International Snow Leopard Trust include:
Signed of a Terms of Reference between Royal Government, International Snow Leopard
Trust – India, World Wildlife Fund and International Snow Leopard Trust -US;
Developed a joint revised project work plan; and
Purchased basic field supplies and equipment needed for the surveys planned.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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Mallon, D. P., Jackson, R. M. (2017). A downlist is not a demotion: Red List status and reality. Oryx, , 1–5.
Abstract: Assessments of biodiversity status are needed to
track trends, and the IUCN Red List has become the accepted
global standard for documenting the extinction
risk of species. Obtaining robust data on population size is
an essential component of any assessment of a species� status,
including assessments for the IUCN Red List. Obtaining
such estimates is complicated by methodological and
logistical issues, which are more pronounced in the case of
cryptic species, such as the snow leopard Panthera uncia.
Estimates of the total population size of this species have,
to date, been based on little more than guesstimates, but a
comprehensive summary of recent field research indicates
that the conservation status of the snow leopard may be
less dire than previously thought. A revised categorization,
from Endangered to Vulnerable, on the IUCN Red List was
proposed but met some opposition, as did a recent, similar
recategorization of the giant panda Ailuropoda melanoleuca.
Possible factors motivating such attitudes are discussed.
Downlisting on the IUCN Red List indicates that the species
concerned is further from extinction, and is always to be
welcomed, whether resulting from successful conservation
intervention or improved knowledge of status and trends.
Celebrating success is important to reinforce the message
that conservation works, and to incentivize donors.
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Ferretti, F., Lovari, S., Minder, I., Pellizzi, B. (2014). Recovery of the snow leopard in Sagarmatha (Mt.Everest) National Park: effects on main prey. European Journal of Wildlife Research, (60), 559–562.
Abstract: Consequences of predation may be particularly
heavy on small populations of herbivores, especially if they
are threatened with extinction. Over the 2006–2010 period, we
documented the effects of the spontaneous return of the endangered
snow leopard on the population of the vulnerable
Himalayan tahr. The study area was an area of central
Himalaya where this cat disappeared c. 40 years before, because
of persecution by man. Snow leopards occurred mainly
in areas close to the core area of tahr distribution. Tahr was the
staple (56.3 %) of snow leopards. After the arrival of this cat,
tahr decreased by more than 2/3 from 2003 to 2010 (mainly
through predation on kids). Subsequently, the density of snow
leopards decreased by 60%from2007 to 2010. The main prey
of snow leopards in Asia (bharal, marmots) were absent in our
study area, forcing snow leopards to specialize on tahr. The
restoration of a complete prey spectrum should be favoured
through reintroductions, to conserve large carnivores and to
reduce exploitation of small populations of herbivores, especially
if threatened.
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Karanth, K. U., Nichols, J.D., Seidensticker, J., Dinerstein, E., David Smith, J.L., McDougal, C., Johnsingh, A.J.T., Chundawat, R.S., Thapar, V. (2003). Science deficiency in conservation practice: the monitoring of tiger populations in India. Animal Conservation, 6, 141–146.
Abstract: Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.
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Zhiryakov V.A. (2002). Ecology and behavior of the Snow leopard in Kazakhstan (Vol. N 1-4.).
Abstract: The data on spreading, numbers and population density of snow leopard in Kazakhstan are given in this article. The total number of the snow leopard in Kazakhstan is evaluated in 100-110 individuals. The everywhere occurred numbers' reduction under the influence of the anthropogenic factors is observed. The snow leopard' inhabitation area varies from 20 to 120 square kilometers depending on its regions. Sex and composition of the population and its aggregative behavior are given. The dynamics of numbers and mortality are estimated.
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Zhiryakov V.A. (1989). The influence of the predators on population trend of the ungulates in the Almaty nature reserve.
Abstract: The data on predators and ungulates population dynamics in Almaty Nature reserve (Kazakhstan) in 1983-1987s are given. The number of snow leopard is stable (3-5 individuals), the density is 0.06 indi/1000 ha. An insignificant increase of Siberian ibex' number (660 to 700) with density of 36 indi/1000 ha is recorded.
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Zhirjakov, V. A. (1990). On the ecology of the snow leopard in the Zailisky-Alatau (Northern Tien Shan). Int Ped Book of Snow Leopards, 6, 25–30.
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McCarthy, T., Murray, K., Sharma, K., & Johansson, O. (2010). Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia. Cat News, Autumn(53), 15–19.
Abstract: Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species.
Keywords: snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling
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Xu, F., Ma, M., & Wu, Y. - Q. (2007). Population density and habitat utilization of ibex in Tomur National Nature Reserve,Xinjiang,China.
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Blomqvist, L. (1988). The Development of the Captive Snow Leopard Population between 1984-1985. In H.Freeman (Ed.), (pp. 181–189). India: International Snow Leopard Trust and Wildlife Institute of India.
Abstract: In 1984, 73 (31/41/1) cubs were born of which 47 (24/23) survived for six months or longer. This gives us a cub mortality of 35.6%. A total of 38 (11/26/1) snow leopards died in captivity in 1984. Five (2/3) specimens were wild caught at the same time in the USSR and then located in the zoos of ALma-Ata, Moscow and Novosibirsk. At the End of 1984, the captive stock consisted of 332 (168/164) snow leopards, an increase of forty animals from the previous year.
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Jackson, R. (1991). Snow Leopards and Other Wildlife in the Qomolang,a Nature Preserve of Tibet (Vol. ix). Seattle: International Snow Leopard Trust.
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Jackson, R., & Ahlborn, G. (1990). The role of protected areas in Nepal in maintaining viable populations of snow leopards. Int.Ped.Book of Snow Leopards, 6, 51–69.
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Henschel, P., & Ray, J. (2003). Leopards in African Rainforests: Survey and Monitoring Techniques (Wildlife Conservation Society, Ed.).
Abstract: Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests.
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Harris, R. B. (1994). Dealing with uncertainty in counts of mountain ungulates. In J.L.Fox, & D. Jizeng (Eds.), (pp. 105–111). Usa: Islt.
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Freeman, H. (1980). The snow leopard, today and yesterday. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 2 (Vol. 2, pp. 37–43). Helsinki: Helsinki Zoo.
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Fox, J. L., & Jackson, R. M. (2002). Blue Sheep and Snow Leopards in Bhutan and Trans-Himalayan Nepal: Recent Status Evaluations and Their Application to Research and Conservation.. Islt: Islt.
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