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Shrestha, B., Aihartza, J., Kindlmann |
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Title |
Diet and prey selection by snow leopards in the Nepalese Himalayas |
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2018 |
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PLoS ONE |
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1-18 |
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Visual attractiveness and rarity often results in large carnivores being adopted as flagship
species for stimulating conservation awareness. Their hunting behaviour and prey selection
can affect the population dynamics of their prey, which in turn affects the population dynamics
of these large carnivores. Therefore, our understanding of their trophic ecology and foraging
strategies is important for predicting their population dynamics and consequently for
developing effective conservation programs. Here we concentrate on an endangered species
of carnivores, the snow leopard, in the Himalayas. Most previous studies on snow leopard
diet lack information on prey availability and/or did not genetically check, whether the
identification of snow leopard scats is correct, as their scats are similar to those of other
carnivores. We studied the prey of snow leopard in three Himalayan regions in Nepal
(Sagarmatha National Park (SNP), Lower Mustang (LM) and Upper Manang (UM) in the
Annapurna Conservation Area, during winter and summer in 2014�2016. We collected 268
scats along 139.3 km linear transects, of which 122 were genetically confirmed to belong to
snow leopard. Their diet was identified by comparing hairs in scats with our reference collection
of the hairs of potential prey. We determined prey availability using 32�48 camera-traps
and 4,567 trap nights. In the SNP, the most frequent prey in snow leopard faeces was the
Himalayan tahr in both winter and summer. In LM and UM, its main prey was blue sheep in
winter, but yak and goat in summer. In terms of relative biomass consumed, yak was the
main prey everywhere in both seasons. Snow leopard preferred large prey and avoided
small prey in summer but not in winter, with regional differences. It preferred domestic to
wild prey only in winter, and in SNP. Unlike most other studies carried out in the same area,
our study uses genetic methods for identifying the source of the scat. Studies solely based
on visual identification of samples may be strongly biased. Diet studies based on frequency
of occurrence of prey tend to overestimate the importance of small prey, which may be consumed
more often, but contribute less energy than large prey. However, even assessments
based on prey biomass are unlikely to be accurate as we do not know whether the actual
size of the prey consumed corresponds to the average size used to calculate the biomass
eaten. For example, large adults may be too difficult to catch and therefore mostly young animals are consumed, whose weight is much lower. We show that snow leopard consumes
a diverse range of prey, which varies both regionally and seasonally. We conclude that in
order to conserve snow leopards it is also necessary to conserve its main wild species of
prey, which will reduce the incidence of losses of livestock. |
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SLN @ rakhee @ |
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1476 |
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. |
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Title |
Sampling bias in snow leopard population estimation studies |
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Journal Article |
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Year |
2019 |
Publication |
Population Eccology |
Abbreviated Journal |
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1-9 |
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camera trap, Central Asia, Himalaya, meta-analysis, monitoring, Panthera uncia, population ecology |
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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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SLN @ rakhee @ |
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1477 |
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Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P |
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Title |
Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal |
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Journal Article |
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Year |
2019 |
Publication |
Global Ecology and Conservation |
Abbreviated Journal |
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17 |
Pages |
1-8 |
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Keywords |
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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SLN @ rakhee @ |
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1478 |
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Jamtsho, Y., Katel, O. |
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Title |
Livestock depredation by snow leopard and Tibetan wolf: Implications for herders� livelihoods in Wangchuck Centennial National Park, Bhutan |
Type |
Journal Article |
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Year |
2019 |
Publication |
Springer Open |
Abbreviated Journal |
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9:1 |
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1-10 |
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Wildlife-livestock conflicts, Endangered predators, Protected area, Income loss |
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Human-wildlife conflict (HWC) is a serious problem in many parts of the world, and Bhutan�s Wangchuck Centennial
National Park (WCNP) is no exception. Located in the remote alpine areas of the eastern Himalaya, wildlife species
such as snow leopard (SL) and Tibetan wolf (TW) are reported to kill livestock in many parts of the Park. Such
depredation is believed to have affected the livelihoods of high-altitude herding communities, resulting in conflicts
between them. This study provides analysis on the extent of livestock depredation by wildlife predators such as SL
and TW and examines its implications for the livelihoods of herding communities of Choekhortoe and Dhur regions
of WCNP. Using semi-structured questionnaires, all herders (n = 38) in the study area were interviewed. The questions
pertained to livestock population, frequency of depredation and income lost due to depredation in the last five years
from 2012 to 2016. This study recorded 2,815 livestock heads in the study area, with an average herd size of 74.1 stock.
The average herd size holding showed a decreasing trend over the years, and one of the reasons cited by the herders
is depredation by SL and TW and other predators. This loss equated to an average annual financial loss equivalent to
10.2% (US$837) of their total per capita cash income. Such losses have resulted in negative impacts on herders�
livelihood; e.g. six herders (2012-2016) even stopped rearing livestock and resorted to an alternate source of cash
income. The livestock intensification programmes, including pasture improvement through allowing controlled
burning, and financial compensation, may be some potential short-term solutions to reduce conflict between herders
and predators. Issuing permits for cordyceps (Ophiocordyceps sinensis) collection only to the herders and instilling the
sense of stewardship to highland herders may be one of the long-term solutions. |
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SLN @ rakhee @ |
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1479 |
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. |
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POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL |
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Journal Article |
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2019 |
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98 |
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3 |
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332-342 |
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Keywords |
Snow leopard, irbis, Panthera uncia, Maxent, habitat model, potential habitat |
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The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species. |
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SLN @ rakhee @ |
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1480 |
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Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K.,Ekaterina, P. |
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Title |
HELMINTHS OF RARE FELINE SPECIES (FELIDAE) IN SIBERIA AND THE RUSSIAN FAR EAST |
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2017 |
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International Journal of Research In |
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70-74 |
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Helminths, Amur tiger, Amur leopard, Pallas's cat, Snow leopard. |
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Parasites diversity in close-related species of hosts may be different depending on habitat use and climatic conditions. The aim of this study was to
analyze parasites fauna in four felid species inhabiting Russian Far East and South Siberia (including taiga forest and mountain treeless areas). We
have collected 272 feces samples of four felid species: Amur tiger, Amur leopard, snow leopard and Pallas� cat. Helminths (eggs and larvae) in
excrements were studied by flotation using a saturated solution of ammonium nitrate. We have described 10 helminths species in Amur tiger feces, 6
� in Amur leopard, 2 � in snow leopard and 3 � in Pallas� cat. Obviously, snow leopard and Palls� cat had lower helminths diversity than two other
species. These differences can be explained, to some extent, by climatic parameters. The climate in the snow leopard and Pallas' cat habitats is
described by sharp and significant temperature fluctuations – the annual temperature difference can exceed 90°C, which may lead to lower survival of
the number of infectious agents in Pallas' cat excrements. In addition, the snow cover that can protect helminth eggs and larvae from the cold
temperatures especially in Amur tiger and Amur leopard habitats. Possibly, another important factor is the spatial and social organization of Pallas'
cats, with a low frequency of contacts with other individuals. Such way, species-specific differences in helminths were related, probably, with the
species evolution in different habitats |
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1481 |
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Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. |
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Title |
Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base |
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Journal Article |
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2018 |
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Biology Bulletin |
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45 |
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9 |
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1106-1115 |
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Panthera uncia, Bol� shoi Sayan, Munku-Sardyk, Tunkinskie Gol� tsy, distribution area, molecular genetic analysis, modeling of potential habitats |
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A field survey of snow leopard (Panthera uncia) habitats was carried out in the southeastern part of
the Eastern Sayan Mountains (Okinskii and Tunkinskii districts of the Republic of Buryatia and the Kaa-
Khemskii district of Tuva Republic). Seven or eight adult snow leopards were observed as constant inhabitants
of the Tunkinskie Gol'tsy, Munku-Sardyk, and Bol'shoi Sayan mountain ridges. The presence of eight
snow leopards was confirmed using DNA-based analyses of scats collected in 2014 – 2016. The main prey species
of the snow leopard in Eastern Sayan is the Siberian ibex (Capra sibirica), but its abundance has steadily
decreased over the past 20 years. The red deer (Cervus elaphus) and the wild boar (Sus scrofa), which were
some of the most numerous ungulates in the survey area, are replacing the Siberian ibex in the snow leopard's
diet. In addition, the mountain hare (Lepus timidus) is also of importance to the snow leopard's diet. |
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1482 |
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Janjua,S., Peters, J. L., Weckworth, B., Abbas, F. I., Bahn, Volker, Johansson, O., Rooney, T.P. |
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Improving our conservation genetic toolkit: ddRAD-seq for SNPs in snow leopards |
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Journal Article |
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2019 |
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Conservation Genetic Resource |
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Snow leopards (Panthera uncia) are an enigmatic, high-altitude species whose challenging habitat, low population densities
and patchy distribution have presented challenges for scientists studying its biology, population structure, and genetics.
Molecular scatology brings a new hope for conservation efforts by providing valuable insights about snow leopards, including
their distribution, population densities, connectivity, habitat use, and population structure for assigning conservation units.
However, traditional amplification of microsatellites from non-invasive sources of DNA are accompanied by significant
genotyping errors due to low DNA yield and poor quality. These errors can lead to incorrect inferences in the number of
individuals and estimates of genetic diversity. Next generation technologies have revolutionized the depth of information
we can get from a species' genome. Here we used double digest restriction-site associated DNA sequencing (ddRAD-seq),
a well-established technique for studying non-model organisms, to develop a reference sequence library for snow leopards
using blood samples from five Mongolian individuals. Our final data set reveals 4504 loci with a median size range of 221 bp.
We identified 697 SNPs and low nucleotide diversity (0.00032) within these loci. However, the probability that two random
individuals will share identical genotypes is about 10-168. We developed probes for DNA capture using this sequence library
which can now be used for genotyping individuals from scat samples. Genetic data from ddRAD-seq will be invaluable for
conducting population and landscape scale studies that can inform snow leopard conservation strategies. |
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Snow leopard · ddRAD-seq · Next generation sequencing · SNP discovery |
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1483 |
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Maheshwari, A. , Sathyakumar, S. |
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Title |
Snow leopard stewardship in mitigating human-wildlife conflict in Hemis National Park, Ladakh, India |
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Journal Article |
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2019 |
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Human Dimensions of Wildlife |
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1-5 |
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Snow leopard; human-wildlife conflict; ecotourism; livelihood; India |
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Among large predators, snow leopards (Panthera uncia) and co-predators (e.g., wolves
Canis lupus, lynx Lynx lynx) often cause economic losses, engendering animosity from
local communities in the mountain ecosystem across south and central Asia (Din et al.,
2017; Jackson & Lama, 2016; Maheshwari, Takpa, Kujur, & Shawl, 2010; Schaller, 2012).
These economic losses range from around US $50 to nearly $300 per household,
a significant sum given per capita annual incomes of $250 – $400 (Jackson & Wangchuk,
2004; Mishra, 1997). Recent efforts such as improved livestock husbandry practices
(predator-proof livestock corrals – closed night shelters with covered roof with wiremesh
and a closely fitting iron or wooden door that can be securely locked at night) and
community-based ecotourism (e.g., home stays, guides, porters, pack animals, campsites)
are providing alternative livelihood opportunities and mitigating large carnivores – human
conflict in the snow leopard habitats (Hanson, Schutgens, & Baral, 2018; Jackson, 2015;
Jackson & Lama, 2016; Vannelli, Hampton, Namgail, & Black, 2019). Snow leopard-based
ecotourism provides an opportunity to secure livelihoods and reduce poverty of the
communities living in ecotourism sites across Ladakh (Chandola, 2012; Jackson, 2015).
To understand the role of snow leopard-based ecotourism in uplifting the financial profile
of local communities, mitigating large carnivore – human conflict and eventually changing
attitudes towards large carnivores in Hemis National Park, Ladakh, India, we compared
the estimated financial gains of a snow leopard-based ecotourism to stated livestock
predation losses by snow leopards and wolves. |
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1484 |
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Shrestha, A., Thapa, K., Subba, S. A., Dhakal, M., Devkota, B. P., Thapa, G. J., Shrestha, S., Malla, S., Thapa, K. |
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Cats, canines, and coexistence: dietary differentiation between the sympatric Snow Leopard and Grey Wolf in the western landscape of Nepal Himalaya |
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Journal Article |
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2019 |
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Journal of Threatened Taxa |
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11 |
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7 |
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13815-13821 |
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Canis lupus, dietary pattern, dietary overlap, livestock, Naur, negative interaction, Panthera uncia, scat analysis, sympatry |
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Abstract |
Understanding the dietary habits of sympatric apex carnivores advances our knowledge of ecological processes and aids their conservation. We compared the diets of the sympatric Snow Leopard Panthera uncia and Grey Wolf Canis lupus using standard micro-histological analyses of scats collected from the western complex of Nepal Himalaya. Our study revealed one of the highest recorded contributions of livestock to the diet of top predators (55% for Grey Wolf and 39% for Snow Leopard) and high dietary overlap (0.82) indicating potential exploitative or interference competition. Their diet composition, however, varied significantly based on their consumption of wild and domestic prey. Limitation in data precludes predicting direction and outcome of inter-specific interactions between these predators. Our findings suggest a high rate of negative interaction with humans in the region and plausibly retaliatory killings of these imperilled predators. To ensure the sustained survival of these two apex carnivores, conservation measures should enhance populations of their wild prey species while reducing livestock losses of the local community through preventive and mitigative interventions. |
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SLN @ rakhee @ |
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1485 |
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