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Blomqvist, L. (1998). Analysis of the global captive Snow leopard, Uncia uncia, population in 1996. International Pedigree Book of Snow Leopards, Uncia uncia, 7, 6–20. |
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.
Keywords: forest leopards; african rainforests; survey; monitoring techniques; lope reserve; gabon; central africa; congo; zaire; field testing; populations; wild meat; relative abundance; density; live-trapping; presence and absense surveys; ad-hoc survey; bushmeat; systematic survey; monitoring; individual identification; tracks; Discriminant Function Analysis; genotyping; scat; Hair; Dna; remote photography; camera trapping; capture rates; Trailmaster; Camtrakker; bait; duikers; pigs; elephant; bongo; okapi; human hunters; 5300
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2006). Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques (Vol. 34).
Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.
Keywords: abundance; camera trapping; capture rates; dentistry; identification; India; photography; snow leopard; Uncia uncia
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Khatiwada, J. R., Chalise, M. K., & Kyes, R. (2007). Survey of Snow Leopard (Uncia uncia) and Blue Sheep (Pseudois nayaur) populations in the Kangchenjunga Conservation Area (KCA), Nepal. Final report.
Abstract: This study was carried out in the Kangchenjunga Conservation Area (KCA), Eastern Nepal from Feb – Nov 2007. We used the Snow Leopard Information Management System, SLIMS (second order survey technique) to determine the relative abundance of snow leopard in the upper part of KCA. Altogether, 36 transects (total length of 15.21 km) were laid down in the major three blocks of KCA. 104 Signs (77 scrapes, 20 feces, 2 Scent mark, 3 Pugmarks and 2 hairs) were recorded. Fixed-point count method was applied for blue sheep from appropriate vantage points. We counted total individual in each herd using 8x42 binocular and 15-60x spotting scope. A total of 43 herds and 1102 individuals were observed in the area. The standard SLIMS questionnaire was conducted to find out relevant information on livestock depredation patterns. Out of 35 households surveyed in KCA, 48% of herders lost livestock due to snow leopards. A total of 21 animals were reportedly lost due to snow leopards from August to September 2007.
Keywords: survey; snow; snow leopard; snow-leopard; leopard; uncia; Uncia uncia; Uncia-uncia; blue; blue sheep; blue-sheep; sheep; Pseudois; pseudois nayaur; Pseudois-nayaur; nayaur; populations; population; conservation; area; Nepal; Report; study; information; management; system; Slims; relative abundance; abundance; transects; transect; length; sign; scrapes; scrape; 20; feces; scent; pugmarks; hairs; Hair; using; livestock; livestock depredation; livestock-depredation; depredation; patterns; herders; herder; snow leopards; snow-leopards; leopards; Animals; Animal
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Kyes, R., & Chalise, M. K. (2005). Assessing the Status of the Snow Leopard Population in Langtang National Park, Nepal.
Abstract: This project is part of an ongoing snow leopard study established in 2003 with support from the ISLT. The study involves a multifaceted approach designed to provide important baseline data on the status of the snow leopard population in Langtang National Park (LNP), Nepal and to generate long-term support and commitment to the conservation of snow leopards in the park. The specific aims include: 1) conducting a population survey of the snow leopards in LNP, focusing on distribution and abundance; 2) assessing the status of prey species populations in the park; and 3) providing educational outreach programs on snow leopard conservation for local school children (K-8) living in the park. During the 2004 study period, snow leopard signs were observed (including pugmarks and scats) although somewhat fewer than in 2003. Similarly, the average herd size of the snow leopards' primary prey species in LNP (the Himalayan thar) was a bit lower than in 2003. There is speculation that the thar populations and the snow leopards may be moving to more remotes areas of the park perhaps in response to increasing pressure from domestic livestock grazing. This possibility is being addressed during the 2005 study period.
Keywords: status; snow; snow leopard; snow-leopard; leopard; population; Langtang; national; national park; National-park; park; Nepal; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; biodiversity; research; study; Support; Islt; approach; Data; conservation; snow leopards; snow-leopards; leopards; survey; distribution; abundance; prey; prey species; prey-species; species; populations; programs; local; sign; pugmarks; scats; scat; primary; Himalayan; areas; area; Response; Pressure; domestic; domestic livestock; livestock; grazing
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McCarthy, K., Fuller, T., Ming, M., McCarthy, T., Waits, L., & Jumabaev, K. (2008). Assessing Estimators of Snow Leopard Abundance (Vol. 72).
Abstract: The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates (photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation. |
Ming, M., Munkhtsog, B., Xu, F., Turghan, M., Yin, S. -jing, & Wei, S. - D. (2005). Markings as Indicator of Snow Leopard in Field Survey, in Xinjiang.
Abstract: The Snow Leopard (Uncia uncia) was a very rare species in China. The survey on the markings of Snow Leopard in Ahay and Tianshan Mountains is the major activity of the Project of Snow Leopard in Xinjiang, supported by International Snow Leopard Trust(ISLT)and Xinjiang Conservation Fund(XCF). During the field work from Sep to Nov 2004 the Xinjiang Snow Leopard Group(XSLG) set 67 transects of a total length of 47 776 m with mean transect length is 7 1 3 m at 9 locations.Total of 1 l 8 markings of Snow Leopards were found in 27 transects the mean density is 247km. The markings of Snow Leopard included the pug marks or footprints, scrapes, feces, bloodstain, scent spray, urine, hair or fur, claw rake, remains of prey corpse, sleep site, roar and others. From the quantity and locations of marks the XSLG got the information on habitat selection distribution region and relative abundance of the Snow Leopard in the study areas. The survey also provided knowledge on distribution and abundance of major prey potential conservation problems and human attitudes to Snow Leopards by taking 200 questionnaires in the study areas.
Keywords: markings; marking; snow leopard; leopard; field survey; Xinjiang; Chinese; Uncia uncia; Uncia-uncia; China; Tianshan Mountains; conservation; field work; length; snow leopards; snow-leopards; density; densities; pug; pug marks; marks; scrapes; scrape; feces; scent; spray; Hair; fur; prey; habitat; Habitat selection; selection; distribution; region; relative abundance; abundance; study; areas; knowledge; potential; conservation problems; Human; attitudes; attitude; 200
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Ming, M., XuFeng, Turghan, M., & Shoujin, Y. (2004). Report on Snow Leopard (Uncia uncia) Surveys in Tomur, Xinjiang, China 2004. Xinjian, P.R. of China: Xinjiang Snow Leopard Group; Xinjiang Institute of Ecology and Geography; Chinese Academy of Science.
Abstract: The Snow Leopard (Uncia uncia) investigation in the Tomur area is the second step of the “Project of Snow Leopard Study in Xinjiang”. In this part of the project, we collected information on the distribution , abundance and population size of the snow leopard in this area. The investigation lasted for 3 weeks, between October 17 and November 7th, 2004. During the 22 days of field work, we surveyed 4 different places in Wensu County, Aksu District: e.g. Pochenzi and the Muzat River area, Bozdun and the Little Kuzbay River area, Yinyar and the Tomur River area, Taglak and the Qiong Tailan River area. The 4 main areas, along with a few other valleys, covered most of the Tomur National Conservation Zone. In total, we ran 42 transects. In 15 transects, we found signs left by snow leopards. We also collected 15 fecal samples for diet analysis. This time we interviewed nearly 90 local people from different nationalities: e.g. Han (Chinese), Uygur and Kyrgyz people, including herdsmen, geologists, mineworkers, drivers, veterinarians, businessmen, forest officials, soldiers and policemen. They provided us with an array of information on the historical and current distribution and abundance of the snow leopard in this area.
Keywords: snow leopard; Uncia uncia; survey; distribution; abundance; population size; Tomur; Xinjiang; P.R.China; 5710
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Shrestha, B. (2008). Prey Abundance and Prey Selection by Snow Leopard (uncia uncia) in the Sagarmatha (Mt. Everest) National Park, Nepal.
Abstract: Predators have significant ecological impacts on the region's prey-predator dynamic and community structure through their numbers and prey selection. During April-December 2007, I conducted a research in Sagarmatha (Mt. Everest) National Park (SNP) to: i) explore population status and density of wild prey species; Himalayan tahr, musk deer and game birds, ii) investigate diet of the snow leopard and to estimate prey selection by snow leopard, iii) identify the pattern of livestock depredation by snow leopard, its mitigation, and raise awareness through outreach program, and identify the challenge and opportunities on conservation snow leopard and its co-existence with wild ungulates and the human using the areas of the SNP. Methodology of my research included vantage points and regular monitoring from trails for Himalayan tahr, fixed line transect with belt drive method for musk deer and game birds, and microscopic hair identification in snow leopard's scat to investigate diet of snow leopard and to estimate prey selection. Based on available evidence and witness accounts of snow leopard attack on livestock, the patterns of livestock depredation were assessed. I obtained 201 sighting of Himalayan tahr (1760 individuals) and estimated 293 populations in post-parturient period (April-June), 394 in birth period (July -October) and 195 November- December) in rutting period. In average, ratio of male to females was ranged from 0.34 to 0.79 and ratio of kid to female was 0.21-0.35, and yearling to kid was 0.21- 0.47. The encounter rate for musk deer was 1.06 and density was 17.28/km2. For Himalayan monal, the encounter rate was 2.14 and density was 35.66/km2. I obtained 12 sighting of snow cock comprising 69 individual in Gokyo. The ratio of male to female was 1.18 and young to female was 2.18. Twelve species (8 species of wild and 4 species of domestic livestock) were identified in the 120 snow leopard scats examined. In average, snow leopard predated most frequently on Himalayan tahr and it was detected in 26.5% relative frequency of occurrence while occurred in 36.66% of all scats, then it was followed by musk deer (19.87%), yak (12.65%), cow (12.04%), dog (10.24%), unidentified mammal (3.61%), woolly hare (3.01%), rat sp. (2.4%), unidentified bird sp. (1.8%), pika (1.2%), and shrew (0.6%) (Table 5.8 ). Wild species were present in 58.99% of scats whereas domestic livestock with dog were present in 40.95% of scats. Snow leopard predated most frequently on wildlife species in three seasons; spring (61.62%), autumn (61.11%) and winter (65.51%), and most frequently on domestic species including dog in summer season (54.54%). In term of relative biomass consumed, in average, Himalayan tahr was the most important prey species contributed 26.27% of the biomass consumed. This was followed by yak (22.13%), cow (21.06%), musk deer (11.32%), horse (10.53%), wooly hare (1.09%), rat (0.29%), pika (0.14%) and shrew (0.07%). In average, domestic livestock including dog were contributed more biomass in the diet of snow leopard comprising 60.8% of the biomass consumed whilst the wild life species comprising 39.19%. The annual prey consumption by a snow leopard (based on 2 kg/day) was estimated to be three Himalayan tahr, seven musk deer, five wooly hare, four rat sp., two pika, one shrew and four livestock. In the present study, the highest frequency of attack was found during April to June and lowest to July to November. The day of rainy and cloudy was the more vulnerable to livestock depredation. Snow leopard attacks occurred were the highest at near escape cover such as shrub land and cliff. Both predation pressure on tahr and that on livestock suggest that the development of effective conservation strategies for two threatened species (predator and prey) depends on resolving conflicts between people and predators. Recently, direct control of free – ranging livestock, good husbandry and compensation to shepherds may reduce snow leopard – human conflict. In long term solution, the reintroduction of blue sheep at the higher altitudes could also “buffer” predation on livestock.
Keywords: project; snow; snow leopard; snow-leopard; leopard; network; conservation; program; prey; abundance; selection; uncia; Uncia uncia; Uncia-uncia; Sagarmatha; national; national park; National-park; park; Nepal; resource; predators; predator; ecological; impact; region; community; structure; number; research; population; status; density; densities; wild; prey species; prey-species; species; Himalayan; tahr; musk; musk-deer; deer; game; birds; diet; livestock; livestock depredation; livestock-depredation; depredation; awareness; co-existence; ungulates; ungulate; Human; using; areas; area; monitoring; transect; Hair; identification; scat; attack; patterns; sighting; 1760; populations; birth; Male; Female; young; domestic; domestic livestock; 120; scats; yak; Dog; pika; wildlife; Seasons; winter; horse; study; cover; land; predation; Pressure; development; strategy; threatened; threatened species; threatened-species; conflicts; conflict; people; control; husbandry; compensation; reintroduction; blue; blue sheep; blue-sheep; sheep; free ranging
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Thapa, K. (2005). Is their any correlation between abundance of blue sheep population and livestock depredation by snow leopards in the Phu Valley, Manang District, Annapurna Conservation Area? Final report.
Abstract: This study was undertaken in the Phu valley of Manang district in the Annapurna Conservation Area, Nepal,
Spring, 2004 and 2005. I used the Snow Leopard Management Information System (“second order” survey technique), to determine the relative abundance of snow leopards in delineated areas in Phu valley. Transects routes were plotted by randomly selected feasible landforms such as along ridgelines, cliff bases and river bluffs where snow leopards sign is likely to be found. Altogether, 16 transects (total length of 7.912 km) were laid down (mean transect length=0.495 km). They revealed, 54 sign sites (both relic and non-relic) and altogether 88 signs (72 scrapes, 11 feces, 3 scent mark, 2 pugmarks and 1 hair) were recorded (6.8 site/km and 11.1 signs/km). There were 61.1% non-relic and 38.9% relic sites. The density of snow leopards in Phu Valley may be 4-5 snow leopards/100 kmý.It was found that the Ghyo block had the highest sign density (13.6 mean sign item/km) and Phu block (9.8 mean sign item/km) and the lowest in Ngoru block (3.9 mean sign item/km.). For blue sheep, direct count method was applied from different appropriate vantage points (fixed-point count). I counted total individuals in each herd and classified all individuals whenever possible, using 8 X24 binocular and 15-60x spotting scope. A total 37 blue sheep herds and 1209 individuals were observed in 192.25 kmý of the study area (blue sheep density, 6.3 kmý). Average herd size was 32.68. Herd size varied from 1 to 103 animals (the largest so far recorded). The average sex ratio male to female for the entire survey area was 0.67. Recruitment rate was 47.13. The ratio of yearlings to adult female was 0.45. In Ghyo block had total 168 blue sheep (area, 44.08 km2 or 3.8/ km2 i.e. 137.2 kg/ kmý). Blue sheep density in Ngoru block showed 4.7/km2 (area, 65.47 km2). Highest density of blue sheep among three blocks was recorded in Phu block, 8.9/km2 (or 320 kg/km2) in its 82.70 km2 area. A standard questionnaire was designed, and interviews conducted for relevant information was collected on livestock depredation patterns (total household survey). Out of 33 households surveyed, 30 reported that they had livestock depredation by the snow leopard in 2004. Altogether 58 animals were reportedly lost to snow leopards (3.1% of the total mortality). Out of the estimated standing available biomass (1, 83,483kg) in the Phu valley at least 2220 kg or 1.3% of the total livestock biomass was consumed by snow leopards in the year of our study (2004). It was estimated that in the Phu valley annually 1.8 animals were lost per household to snow leopards. This means approx. Rs.413560 (US$ 5,908) is lost annually in the valley (US$ 179/household/annum). Ghyo block, had the highest animals loss (53.4%), followed by Phu block (36.2%) and Ngoru block (10.3%) to snow leopards. There is positive correlation among the densities of blue sheep, relative abundance of the snow leopard and livestock depredation. Blue sheep is the main prey species of the snow leopard in Phu valley and its conservation therefore matters to reduce livestock depredation. A general patterns appears here that shows that blue sheep (prey) abundance determine snow leopard (predator) abundance and that livestock depredation by snow leopards may be minimal where there is good population of blue sheep, and vice versa. Keywords: abundance; blue; blue sheep; blue-sheep; sheep; population; livestock; livestock depredation; livestock-depredation; depredation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; valley; Manang; annapurna; annapurna conservation area; Annapurna-Conservation-Area; conservation; area; Report; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; Nepal
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