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Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. |
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Title |
Face Value: Towards Robust Estimates of Snow Leopard Densities |
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2015 |
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Plos One |
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Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models |
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When densities of large carnivores fall below certain thresholds, dramatic ecological effects
can follow, leading to oversimplified ecosystems. Understanding the population status of
such species remains a major challenge as they occur in low densities and their ranges are
wide. This paper describes the use of non-invasive data collection techniques combined
with recent spatial capture-recapture methods to estimate the density of snow leopards
Panthera uncia. It also investigates the influence of environmental and human activity indicators
on their spatial distribution. A total of 60 camera traps were systematically set up during
a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,
Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,
representing an average capture success of 2.62 captures/100 trap-days. We identified
a total number of 20 unique individuals from photographs and estimated snow leopard
density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate
that our estimates from the Spatial Capture Recapture models were not optimal to
respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our
results underline the critical challenge in achieving sufficient sample sizes of snow leopard
captures and recaptures. Possible performance improvements are discussed, principally by
optimising effective camera capture and photographic data quality. |
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SLN @ rakhee @ |
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1431 |
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Xu, F.; Ma, M.; Wu, Y.-Q. |
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Population density and habitat utilization of ibex in Tomur National Nature Reserve,Xinjiang,China |
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2007 |
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densities; density; habitat; habitat utilization; ibex; national; nature; population; Population-Density; Tomur |
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SLN @ rana @ 867 |
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1037 |
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Henschel, P.; Ray, J. |
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Title |
Leopards in African Rainforests: Survey and Monitoring Techniques |
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Miscellaneous |
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2003 |
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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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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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SLN @ rana @ 515 |
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382 |
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Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. |
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Spatial variation in population-density, movement and detectability of snow leopards in
2 a multiple use landscape in Spiti Valley, Trans-Himalaya |
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2020 |
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bioRxiv |
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Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur
Capra sibirica; ungulates; livestock. |
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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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1620 |
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Mishra, C.; Madhusudan, M.D. |
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An Incentive Scheme for Wildlife Conservation in the Indian Trans-Himalaya |
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2002 |
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snow; leopard; asia; south; central; uncia; depredation; livestock; India; Himalaya; Himalayan; conservation; prey; density; 5010 |
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The habitat of the snow leopard Uncia uncia across South and Central Asia is subject to extensive pastoral use. Levels of livestock depredation by the snow leopard and other carnivores in the region are high, and often provokes retaliatory killing by the herders. This direct threat to large carnivores is further aggravated by a depletion of wild prey due to poaching and out-competition by livestock. In this paper, we describe a pilot project in the Indian Trans-Himalaya, which uses an incentive scheme to create areas free from livestock grazing on community-owned land, thereby fostering conservation commitment among local
pastoralists, as well as contributing directly to an enhancement of wild prey density. |
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Title, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA |
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SLN @ rana @ 487 |
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692 |
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Ale S. |
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Have snow leopards made a comeback to the Everest region of Nepal? |
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2005 |
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1-21 |
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snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; region; Nepal; Report; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; 1960; endangered; Sagarmatha; High; Himalaya; tourism; impact; establishment; national; national park; National-park; park; 1980; area; Tibet; surveys; survey; status; Cats; cat; prey; research; project; sign; transects; transect; length; valley; Response; hunting; recovery; Himalayan; tahr; density; densities; range; pugmarks; sighting; 60; study; population; predators; predator; structure; prey species; prey-species; species; populations; mortality; effects; predation; population dynamics |
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In the 1960s, the endangered snow leopard was locally extirpated from the Sagarmatha (Mt. Everest) region of Nepal. In this Sherpa-inhabited high Himalaya, the flourishing tourism since the ascent of Mt Everest in 1953, has caused both prosperity and adverse impacts, the concern that catalyzed the establishment of Mt. Everest National Park in the region in 1976. In the late 1980s, there were reports that some transient snow leopards may have visited the area from adjoining Tibet, but no biological surveys exist to confirm the status of the cats and their prey. Have snow leopards finally returned to the top of the world? Exploring this question was the main purpose of this research project. We systematically walked altogether 24 sign transects covering over 13 km in length in three valleys, i.e. Namche, Phortse and Gokyo, of the park, and counted several snow leopard signs. The results indicated that snow leopards have made a comeback in the park in response to decades of protective measures, the virtual cessation of hunting and the recovery of the Himalayan tahr which is snow leopard's prey. The average sign density (4.2 signs/km and 2.5 sign sites/km) was comparable to that reported from other parts of the cats' range in the Himalaya. On this basis, we estimated the cat density in the Everest region between 1 to 3 cats per 100 sq km, a figure that was supported by different sets of pugmarks and actual sightings of snow leopards in the 60 km2 sample survey area. In the study area, tahr population had a low reproductive rate (e.g. kids-to-females ratio, 0.1, in Namche). Since predators can influence the size and the structure of prey species populations through mortality and through non-lethal effects or predation risk, snow leopards could have been the cause of the population dynamics of tahr in Sagarmtha, but this study could not confirm this speculation for which further probing may be required. |
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English |
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Progress report for the International Snow Leopard Trust Small Grants Program. |
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SLN @ rana @ 1063 |
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50 |
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Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P |
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Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal |
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2019 |
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Global Ecology and Conservation |
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17 |
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1-8 |
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Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale |
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Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research. |
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1478 |
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The Snow Leopard Conservancy |
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Visitor Satisfaction and Opportunity Survey, Manang, Nepal: Market Opportunities for Linking Community-Based Ecotourism with the Conservation of Snow Leopards in the Annpurna Conservation Area. Report prepared for WWF-Nepal Programme |
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2002 |
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SLC Field Document Series No 3 |
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1-18 |
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survey; Manang; Nepal; linking; community-based; ecotourism; conservation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; area; Report; valley; trekking; Southern; annapurna; Tibet; landscape; mountain; Culture; region; habitat; endangered; High; density; densities; abundance; blue; blue sheep; blue-sheep; sheep; primary; large; prey; prey species; prey-species; species; Himalayan; mountains; tibetan; tibetan plateau; tibetan-plateau; plateau |
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For the past two decades, the Manang or Nyeshang Valley has become one of the most popular
trekking routes in Nepal, attracting over 15,000 trekkers annually (Ale, 2001). The 21-day
circular trek takes the visitor from the lush southern slopes of the Annapurna massif around to
its dry northern slopes more reminiscent of Tibet, through a landscape of spectacular mountain
scenes, interesting villages and diverse cultures. The Manang region also offers prime habitat
for the endangered snow leopard, supporting an estimated 4.8 – 6.7 snow leopards per 100 sq.
km (Oli 1992). This high density has been attributed to the abundance of blue sheep, the snow
leopard's primary large prey species across the Himalayan Mountains and Tibetan Plateau. |
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SLN @ rana @ 1021 |
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961 |
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Shrestha, B. |
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Prey Abundance and Prey Selection by Snow Leopard (uncia uncia) in the Sagarmatha (Mt. Everest) National Park, Nepal |
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2008 |
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1-35 |
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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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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. |
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Project funded by Snow Leopard Network's Snow Leopard Conservation Grant Program. Forum of Natural Resource Managers, Nepal. |
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SLN @ rana @ 1076 |
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887 |
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Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R. K., |
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Applying the double observer methodology for assessing blue sheep population size in Nar Phu valley, Annapurna Conservation Area, Nepal |
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2021 |
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Wildlife Biology |
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1-11 |
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blue sheep, density estimation, double observer counts, Nepal, Panthera uncia, prey abundance, Pseudois nayaur, snow leopard, viewshed mapping |
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This study was undertaken in spring, 2019 to assess the applicability of the double-observer survey method for estimating blue sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the double observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2059 individual blue sheep. We estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI 2059–2405) for the 246.2 km2 of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km2 based on a total study area of 246.2 km2. We discuss demographic population structure and identify limitations when applying the double observer approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates. |
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1666 |
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