Investigation of the population area of snow leopard in the Central Tian-Shan Mountains (original) (raw)

Factors Determining the Distribution and Status of the Snow Leopard Population (Panthera uncia) in Western Mongolia

Animal and Veterinary Sciences, 2019

Studies of the distribution, assessment of the Snow leopard population, as well as the state of the populations of its main prey species, the impact of anthropogenic factors are the basis for the development of long-term and effective action plans and strategies for its conservation. To this end, we have carried out work on three different territories of the Mongolian Altai: Jargalant, Bumbat and Baatar Khairkhan Mountains. All three territories differ in the nature of the location in relation to other parts of the Snow leopard's range, and in the nature of the relief and economic use. The main method of research is the search and registration of traces of life activity of the Snow leopard and its main prey species (Mongolian marmot and Siberian ibex). For this purpose, we have passed 18 research routes with a total length of 197.5 km where we recorded all traces of the Snow leopard, Siberian ibex and Mongolian marmot life activities, as well as the distribution of the number of livestock. Another research method we have used is the application of camera traps. We installed 27 camera traps in total. As a result of their work we have obtained 51 photo location of the Snow leopard and identified at least 3 females, 2-3 adult males, 2-3 young individuals, the sex of which could not be established, including individuals aged about 2 years, 2 cubs. Both methods of research (search for traces of life activities and the application of camera traps) complement each other, and the correct use of camera traps can reduce the subjectivity of the results obtained by the search for traces of life activities. Thus, the reliability of the results is significantly increased. Our studies show that the largest number of traces of Snow leopard activity (the number of scrapes per 1 km of the route) and the largest number of photo locations were recorded in the central part of the Jargalant khairkhan mountain range-the territory that is the most remote and inaccessible for grazing livestock. In this territory, the highest frequency of Snow leopard presence was noted (20-40 scratches/km), and accordingly 5 from 11 identified snow leopards were registered. A similar pattern of distribution of traces of vital activity was registered for the other two territories.

The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan

Ecologica Montenegrina, 2020

The distribution of the snow leopard (Panthera uncia uncia (Shreber, 1775) across its geographic range is associated exclusively with the mountain landscapes. The most important factor in maintaining the integrity and viability of a population is its structure.Our studies were conducted in 2010, 2011 and 2012 and covered most of the range of snow leopard in East Kyrgyzstan. Each territory was surveyed through series of routes. The main methods used in field research were: searching for traces of vital activity, conducting short trail surveys, and using the SLIMS (Snow Leopard Information Management System) technique.In order to study the spatial structure of the snow leopard population, we conducted individual DNA-based identification and GPS registration of bioassays collected from all individuals inhabiting this territory. Biological samples (tissue, fur, and excrement) were obtained following the protocols for collecting bioassays. A total of 146 samples (2 of wool, 2 of tissue,...

Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia

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 leopards 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 leo...

Winter habitat use of snow leopards in Tomur National Nature Reserve of Xinjiang, Northwest China

Journal of Arid Land, 2012

Snow leopards are one of the least known large cats, the population of which has dramatically decreased. Their habitat loss was considered the main reason for the decline during the last decade, but their habitat preferences are still not well known. In this paper, we studied the winter habitat preferences of snow leopards in the Tomur National Nature Reserve (TNNR) in Northwest China during 2004-2005. We used sign surveys and transects to study the winter habitat selection of snow leopards. The results indicated that snow leopards showed a preference for habitat variabilities in slope aspect, vegetation cover, dominant topographical features, landform ruggedness and grazing status. We found that prey availability and dominant topographical features were the most important factors that determined the winter habitat selection of snow leopards. Our results supported the idea that the habitat preferences of snow leopards are a tradeoff between suitable habitat features and avoidance of potential human interactions.

Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley, Trans-Himalaya

PLOS ONE, 2021

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 e...

On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China

Oryx, 2015

There is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopardPanthera unciato inform the development of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across 480 km2in Gansu Province, China, and used data from 60 camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheepPseudois nayaurand the presence of human disturbance (distance to roads). We recorded 76 captures of snow leopards over 2,906 trap-days, representing a mean capture success of 2.62 captures per 100 trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, wher...

Population Density and Driving Factors of North China Leopards in Tie Qiao Shan Nature Reserve

Animals : an Open Access Journal from MDPI, 2021

Simple Summary The North China leopard is a subspecies of leopard distributed in China, but little is known about its population status. This study selected the most active areas of North China leopards to determine the population density and distribution of North China leopards. We found that different prey had different effects on the density distribution of North China leopards. Environmental factors and human factors are also important factors affecting the population density distribution of North China leopards. These results provided an effective basis for the protection of North China leopard population and management evaluation of the reserve. It also provided effective methods for the protection and management of other endangered species. Abstract The North China leopard (Panthera pardus japonesis) is a rare leopard subspecies distributed only in China. In this study, we conducted camera-trap surveys of a North China Leopard population in Tie Qiao Shan Nature Reserve, Shanx...

Using species distribution modelling to guide survey efforts of the snow leopard (Panthera uncia) in the Central Kyrgyz Ala-Too region

Theriologia Ukrainica

Using species distribution modelling to guide survey efforts of the Snow Leopard (Panthera uncia) in the Central Kyrgyz Ala-Too region.-V. Tytar, T. Asykulov, M. Hammer.-Listed as Vulnerable (IUCN 2017), the snow leopard is declining across much of its present range. One of the major reasons for the snow leopard population decline in the last two decades is a reduction in large prey species that are the cornerstone of the conservation of the snow leopard; in the Central Kyrgyz Ala-Too region such species is primarily the Siberian ibex (Capra sibirica). Understanding factors affecting basic requirement of ibex and shaping its distribution is essential for protecting the prey species snow leopards rely on the most. Using a niche modelling approach we explored which environmental features are best associated with ibex occurrence, how well do models predict ibex occurrence, and does the potential distribution of highly suitable ibex habitat correlate with records of snow leopard. A PC analysis was used to capture aspects of ibex ecology and niche. Results of such analysis agree with the herbivore character of the species and bioclimatic habitat requirements of the vegetation it feeds upon, richer in flatter areas, and where plants may benefit from more sunlight. The niche model based on maximum entropy (Maxent) had "useful" discrimination abilities (AUC = 0.746), enabling to produce a map, where a contour line is drawn around areas of highly predicted probability (> 0.5) of ibex occurrence. In terms of nature conservation planning and setting snow leopard research priorities these areas represent the most interest. With one outlier, most of snow leopard records made in the study area (n = 15) fell within the 10 percentile presence threshold (0.368). Predicted probability of ibex occurrence in places where records were made of snow leopard presence (pugmarks, scrapes etc.) was 0.559 expectedly suggesting areas of high ibex habitat suitability attract the predator.

Seasonal space use and habitat selection of GPS collared snow leopards (Panthera uncia) in the Mongolian Altai range

PLOS ONE, 2023

Although the home range and habitat selection of animal species is among the fundamental pieces of biological information collected by research projects during recent decades, published information on the snow leopard (Panthera uncia) home range is limited. The Altai Mountains of central Asia contain some of the largest and most important remaining conservation landscapes for snow leopards globally, but there is a limited understanding of the species' ecology in this region. First, we used the data from 5 snow leopards equipped with GPS collars at four study sites in the Altai Mountains of Mongolia to broadly characterize patterns of home range use between 2013 and 2019. The data was used to calculate home range size from a 10 month period using three different estimators: minimum convex polygons (MCP), kernel density distributions (KDE), and local convex hulls (LoCoH). Second, ten data sets from 8 individual snow leopards were combined to cover all 12 months of a year and to generate a general additive mixed model of seasonal home range use and seasonal resource use. We found 1) large variation in home ranges between sites during the monitoring period ranging minimally between 26.1 and 395.3km 2 (MCP); 2) Local convex hull home ranges were smaller compared to home ranges based on minimum convex polygons and kernels and yielded more biologically appropriate home range estimates; 3) monthly home ranges of males were larger than females; 4) female monthly home ranges decreased in summer, while male monthly range use remained stable throughout the year; and, 5) while both sexes shared similar habitat preference in winter (steep southwestern slopes at high elevation), our data suggest different habitat preferences between sexes in

The Status of Snow Leopards (Panthera uncia) Conservation in Jigme Khesar Strict Nature Reserve at Haa, Bhutan

The Status of Snow Leopards (Panthera uncia) Conservation in Jigme Khesar Strict Nature Reserve at Haa, Bhutan, 2023

Study of Snow Leopard (Panthera uncia, Schreber, 1775) using infrared camera traps along actively used tracks, scent-sprayed rocks, scats and scrape sites was conducted in the mountains of Jigme Khesar Strict Nature Reserve, Haa, Bhutan between October and December 2015 and it is still being continued. A total of 17 grids, each measuring 16km 2 were sampled covering a total area of 272 km 2. Thirty-four camera traps were stationed in 17 grids and in a total of 60 trap nights, 215 images of Snow Leopard were captured out of which 163 images were considered for analysis. Using the pelage patterns on the body parts such as forelimbs, face, flanks and dorsum of the tail of the captured individuals, a total of ten different individuals were identified including the one that was recorded during the extended period trapping for a month. Capture history of camera trap station G9 (Kampula) indicated that it had the highest concentration of the species as individuals JKSNR 3, 4, 8 and 9 were all captured at the same station. The capture timing of the species confirms its crepuscular nature as most of them were recorded between dawn and the dusk. Our results suggest that the species can be well monitored and conserved using camera traps. The Reserve can focus on patrolling and monitoring of the species in the identified high-density areas for maintaining the moving population to perpetuity.