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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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Riordan, P. |
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Title |
Unsupervised recognition of individual tigers and snow leopards from their footprints |
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1998 |
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Animal Conservation |
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1 |
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253-262 |
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captive; panthera tigris; panthera uncia; snow leopard; techniques; tiger |
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This study presents the testing of two unsupervised classification methods for their ability to accurately identify unknown individual tigers, Panthera tigris, and snow leopards, Panthera uncia, from their footprints. A neural-network based method, the Kohonen self-organizing map (SOM), and a Bayesian method, AutoClass, were assessed using hind footprints taken from captive animals under standardized conditions. AutoClass successfully discriminated individuals of both species from their footprints. Classification accuracy was greatest for tigers, with more misclassification of individuals occurring for snow leopards. Examination of variable influence on class formations failed to identify consistently influential measurements for either species. The self-organizing map did not provide accurate classification of individuals for either species. Results were not substantially improved by altering map dimensions nor by using principal components derived from the original data. The interpretation of resulting classifications and the importance of using such techniques in the study of wild animal populations are discussed. The need for further testing in the field is highlighted. |
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SLN @ rana @ 896 |
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823 |
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Liao, Y.F. |
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The Geographical Distribution of Ounces in Qinghai Province |
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1985 |
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Acta Theriologica Sinica |
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5 |
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3 |
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183-188 |
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China; Qinghai; distribution; browse; 5470; ounce; panthera; panthera uncia; Panthera-uncia; uncia; province; 20; Qilian; number; 40; Male; Female; park; Adult; bharal; Pseudois; breeding; people; birth; young; Chinese |
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This paper deals with the geographical distribution of ounces (Panthera uncia) in Qinghai Province. Ounces are distributed in 20 counties- Guide, Huzhu, Menyuan, Qilian, Tianjun, Dulan, Golmud, Guinan, Xinghai, Zhidoi, Zadoi, Nangqen, Yushu, Chindu, Qumarleb, Madio, Maqen, Jigzhi, Baima, Darlag. Among them, there fore 4 counties- Qilian, Tianjun, Dulan, Zadoi, in which the number of ounces are bigger. The number of ounces are shown in table 2. There are altogether 73 ounces (40 male, 33 female) which is supported to every park of China for ornamental, they were captured by fellow-villagers, and 44 ounces (23 male, 21 female) of them are below 6 months old, 9 ounces (6 male, 3 female) of them are 1 year old, 2 ounces (male) are 2 years old, and 18 ounces (9 male, 9 female) are adults.
Ounces live at an altitude of 3000-4100 metres above the sea, and prefer to eat Bharal (Pseudois noyour). Its breeding period goes from April to June, the number of embryos being 2-3.
A female ounce was successfully reproduced for the first time at Xining People's Park of China, in Spetember, 1984, and she gave birth to 3 young ounces. |
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Document Type: Chinese |
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SLN @ rana @ 531 |
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617 |
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Filla, M., Lama, R. P., Ghale, T. R., Signer, J., Filla, T., Aryal, R. R., Heurich, M., Waltert, M., Balkenhol, N., Khorozyan, I. |
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Title |
In the shadows of snow leopards and the Himalayas: density and habitat selection of blue sheep in Manang, Nepal |
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2020 |
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Ecology and Evolution |
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2021 |
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11 |
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108-122 |
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Annapurna Conservation Area, bharal, Panthera uncia, predator-prey, Pseudois nayaur |
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There is a growing agreement that conservation needs to be proactive and pay increased attention to common species and to the threats they face. The blue sheep (Pseudois nayaur) plays a key ecological role in sensitive high-altitude ecosystems of Central Asia and is among the main prey species for the globally vulnerable snow leopard (Panthera uncia). As the blue sheep has been increasingly exposed to human pressures, it is vital to estimate its population dynamics, protect the key populations, identify important habitats, and secure a balance between conservation and local livelihoods. We conducted a study in Manang, Annapurna Conservation Area (Nepal), to survey blue sheep on 60 transects in spring (127.9 km) and 61 transects in autumn (134.7 km) of 2019, estimate their minimum densities from total counts, compare these densities with previous estimates, and assess blue sheep habitat selection by the application of generalized additive models (GAMs). Total counts yielded minimum density estimates of 6.0–7.7 and 6.9–7.8 individuals/km2 in spring and autumn, respectively, which are relatively high compared to other areas. Elevation and, to a lesser extent, land cover indicated by the normalized difference vegetation index (NDVI) strongly affected habitat selection by blue sheep, whereas the effects of anthropogenic variables were insignificant. Animals were found mainly in habitats associated with grasslands and shrublands at elevations between 4,200 and 4,700 m. We show that the blue sheep population size in Manang has been largely maintained over the past three decades, indicating the success of the integrated conservation and development efforts in this area. Considering a strong dependence of snow leopards on blue sheep, these findings give hope for the long-term conservation of this big cat in Manang. We suggest that long-term population monitoring and a better understanding of blue sheep–livestock interactions are crucial to maintain healthy populations of blue sheep and, as a consequence, of snow leopards. |
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1683 |
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Schutgens, M. G., Hanson, J. H., Baral, N., Ale, S. B. |
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Visitors’ willingness to pay for snow leopard Panthera uncia conservation in the Annapurna Conservation Area, Nepal |
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2018 |
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Oryx |
Abbreviated Journal |
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1 - 10 |
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Carnivore conservation, contingent valuation, economic valuation, existence value, Panthera uncia, snow leopard, threatened species, wildlife policy |
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The Vulnerable snow leopard Panthera uncia experiences
persecution across its habitat in Central Asia, particularly
from herders because of livestock losses. Given the
popularity of snow leopards worldwide, transferring some
of the value attributed by the international community to
these predators may secure funds and support for their conservation.
We administered contingent valuation surveys to
 international visitors to the Annapurna Conservation
Area, Nepal, between May and June , to determine
their willingness to pay a fee to support the implementation
of a Snow Leopard Conservation Action Plan. Of the %of
visitors who stated they would pay a snow leopard conservation
fee in addition to the existing entry fee, the mean
amount that they were willing to pay was USD  per trip.
The logit regression model showed that the bid amount, the
level of support for implementing the Action Plan, and the
number of days spent in the Conservation Area were significant
predictors of visitors’ willingness to pay. The main reasons
stated by visitors for their willingness to pay were a
desire to protect the environment and an affordable fee. A
major reason for visitors’ unwillingness to pay was that
the proposed conservation fee was too expensive for them.
This study represents the first application of economic valuation
to snow leopards, and is relevant to the conservation of
threatened species in the Annapurna Conservation Area
and elsewhere. |
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http://snowleopardnetwork.org/bibliography/Schutgensetal_2018.pdf |
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1467 |
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Suryawanshi, K. R., Bhatia, S., Bhatnagar, Y. V., Redpath, S., Mishra, C |
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Multiscale Factors Affecting Human Attitudes toward Snow Leopards and Wolves |
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2014 |
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Conservation biology |
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00 |
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Canis lupus, carnivore, human–wildlife conflicts, Panthera uncia, wildlife acceptance |
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The threat posed by large carnivores to livestock and humans makes peaceful coexistence between
them difficult. Effective implementation of conservation laws and policies depends on the attitudes of local
residents toward the target species. There are many known correlates of human attitudes toward carnivores,
but they have only been assessed at the scale of the individual. Because human societies are organized hierarchically, attitudes are presumably influenced by different factors at different scales of social organization, but this scale dependence has not been examined.We used structured interview surveys to quantitatively assess the attitudes of a Buddhist pastoral community toward snow leopards (Panthera uncia) and wolves (Canis lupus).
We interviewed 381 individuals from 24 villages within 6 study sites across the high-elevation Spiti Valley in
the Indian Trans-Himalaya. We gathered information on key explanatory variables that together captured
variation in individual and village-level socioeconomic factors.We used hierarchical linear models to examine how the effect of these factors on human attitudes changed with the scale of analysis from the individual to the community. Factors significant at the individual level were gender, education, and age of the respondent (for wolves and snow leopards), number of income sources in the family (wolves), agricultural production, and large-bodied livestock holdings (snow leopards). At the community level, the significant factors included the number of smaller-bodied herded livestock killed by wolves and mean agricultural production (wolves) and village size and large livestock holdings (snow leopards). Our results show that scaling up from the individual to higher levels of social organization can highlight important factors that influence attitudes of people toward wildlife and toward formal conservation efforts in general. Such scale-specific information can help managers apply conservation measures at appropriate scales. Our results reiterate the need for conflict management programs to be multipronged. |
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1417 |
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Schaller, G.B.; Jurang, R.; Mingjiang, Q. |
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Status of snow leopard (Panthera-uncia) in Qinghai-Province and Gansu Province-China |
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Journal Article |
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1988 |
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Biological Conservation |
Abbreviated Journal |
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45 |
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3 |
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179-194 |
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status; population; China; Qinhai-province; Gansu-province; conservation; snow-leopard; Panthera-uncia; prey; ungulates; blue-sheep; marmot; snow leopard; blue; sheep; browse; qinhai province; qinhai; province; gansu province; gansu; panthera uncia; panthera; uncia; 860 |
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The status and distribution of the snow leopard Panthera uncia was investigated in two provinces of China. The cats occur over about 65,000km2 or 9% of the Qinghai Province, and in a few places along the western edge of Gansu Province. In many areas the animals have in recent decades been decimated or locally eradicated, as have their prey. Counts of wild ungulates in 9 mountain block, totalling 1375km2, known for abundant wildlife, had an average of 1.4-5.4 animals km2, principally blue sheep Psuedois nayaur, which together with marmot Marmota himalayana, represent the snow leopards main prey. Possibly 650 snow leopards survive in Qinghai but shooting and trapping of this legally protected animal and the hunting of blue sheep for local consumtion and export threaten their existence. |
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Publisher:ELSEVIER SCI LTD, OXFORD |
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SLN @ rana @ 113 |
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867 |
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Singh, S. K., De, R., Sharma, R., Maheshwari, A., Joshi, B. D., Sharma, D., Sathyakumar, S., Habib, B., Goyal, S. P. |
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Conservation importance of the strategic, centrally located snow leopard population in the western Himalayas, India: a genetic perspective |
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2022 |
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Mammalian Biology |
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Panthera uncia, Western Himalayas, Microsatellite, Genetic diversity, Functional connectivity |
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The snow leopard population in Union Territory of Ladakh (UTL), India is at the centre of five out of eight mountain ranges within the species' habitat in the high-mountain Asia. Its strategic location is of immense conservation significance to maintain genetic connectivity and metapopulation dynamics of snow leopards (Panthera uncia). Therefore, we provide the first estimates of the snow leopard's individual-based spatial genetic characteristics from UTL. Multi-locus genotyping (n = 14 loci) of individuals (n = 19) revealed moderate genetic diversity in the population (mean number of alleles = 5.86 ± 0.55, observed heterozygosity = 0.48 ± 0.05, expected heterozygosity = 0.65 ± 0.03, allelic richness = 2.65 ± 0.15). We did not observe any evidence of population structuring (using STRUCTURE and Factorial Correspondence Analysis) or isolation by distance. However, the clustering approach based on genetic distance (Nei's standard distance and Cavalli-Sforza and Edwards distance) and subsequent discriminant analysis of principal components (DAPC) revealed three sub-clusters of related individuals within the study population without any spatial correlates. We observed 1.2% first-order relatives, suggesting sufficient dispersal and panmixia in the UTL population. We observed high fixation index (FIS = 0.26 ± 0.05; 0.17 ± 0.03 upon removing loci with null alleles) and presence of individuals from genetically divergent populations in UTL. Hence, the high positive FIS value could be attributed to both Wahlund effect and inbreeding. Prioritization and effective conservation planning of the UTL population as a source would benefit the global snow leopard population by (i) maintaining connectivity between the Himalayas and the central Asian mountain ranges, and (ii) providing refuge during future climate change-related range contraction. |
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1694 |
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Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V. |
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First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal |
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2020 |
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Oryx |
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Camera trap, corridor, Gaurishankar Conser- vation Area, Nepal, Panthera uncia, prey abundance, transboundary, snow leopard |
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The snow leopard Panthera uncia is the flagship species of the high mountains of the Himalayas. There is po- tentially continuous habitat for the snow leopard along the northern border of Nepal, but there is a gap in information about the snow leopard in Gaurishankar Conservation Area. Previous spatial analysis has suggested that the Lamabagar area in this Conservation Area could serve as a transbound- ary corridor for snow leopards, and that the area may con- nect local populations, creating a metapopulation. However, there has been no visual confirmation of the species in Lamabagar. We set !! infrared camera traps for " months in Lapchi Village of Gaurishankar Conservation Area, where blue sheep Pseudois nayaur, musk deer Moschus leucogaster and Himalayan tahr Hemitragus jemlahicus, all snow leopard prey species, had been observed. In November #$!% at &,!$$ m, ' km south-west of Lapchi Village, one camera recorded three images of a snow leopard, the first photographic evidence of the species in the Conservation Area. Sixteen other species of mammals were also recorded. Camera-trap records and sightings indicated a high abun- dance of Himalayan tahr, blue sheep and musk deer. Lapchi Village may be a potentially important corridor for snow leopard movement between the east and west of Nepal and northwards to Quomolongma National Park in China. However, plans for development in the region present in- creasing threats to this corridor. We recommend develop- ment of a transboundary conservation strategy for snow leopard conservation in this region, with participation of Nepal, China and international agencies. |
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1622 |
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Khanal, G., Poudyal, L. P., Devkota, B. P., Ranabhat, R., Wegge, P. |
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Status and conservation of the snow leopard Panthera uncia in Api Nampa Conservation Area, Nepal |
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2018 |
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Fauna & Flora International |
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1-8 |
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Api Nampa Conservation Area, bharal, Nepal, Panthera uncia, Pseudois nayaur, snow leopard |
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The snow leopard Panthera uncia is globally
threatened and reliable information on its abundance,
distribution and prey species is a prerequisite for its conservation.
In October-November 2014 we assessed the distribution
of the snow leopard in the recently established Api
Nampa Conservation Area in the Nepal Himalayas.
Within selected blocks we conducted sign surveys and
counted the number of bharal Pseudois nayaur, its principal
wild prey, along transects totalling 106 km.We recorded 203
putative snow leopard signs at an encounter rate of 1.91
signs/km. Generalized linear models of the number of
signs detected per transect showed that elevation had a positive
influence and human activities a negative influence on
sign encounter rate; prey abundance had only a weak positive
influence on sign encounter rate. Within the effectively
surveyed area of c. 2002 km2, we counted 527 bharal at an estimated
density of 2.28 animals/km2. Recruitment of bharal
was low, estimated at 48 kids/100 adult females, most likely a
result of poor or overgrazed rangeland. We estimate
the total number of bharal in this conservation area to be
.>1,000, a prey base that could sustain 6-9 snow leopards.
Based on our field observations, we identified human disturbance
and habitat degradation associated with extraction
of non-timber forest products, livestock grazing, and poaching
as the main threats to the snow leopard. Standardized
sign surveys, preferably supplemented by sampling with
remote cameras or with genetic analysis of scats would
provide robust baseline information on the abundance of
snow leopards in this conservation area. |
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no |
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SLN @ rakhee @ |
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1473 |
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