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Thapa, K., Baral, S., Rahamajhi, S. (2023). Effectiveness of Human-Snow leopard co-existence measure- a systematic analysis. Journal for Nature Conservation, 76(126511), 1–11.
Abstract: Snow leopards and agropastoral communities have co-existed in snow leopard range countries for centuries. The vulnerable snow leopard forms and maintains the entire ecosystem, serving as an indicator species of a healthy alpine ecosystem. However, snow leopards, on the other hand, habitually kill livestock, occasionally killing 100 or more livestock in a single night, resulting in snow leopard retaliation. Thus, the snow leopard is becoming more threatened, so more attention should be paid. Therefore, numerous conservation mitigation strategies have been applied to maintain human-snow leopard coexistence in countries of the snow leopard range. However, such implemented conservation strategies lacked a thorough assessment of their achievements or shortcomings in protecting the snow leopard and enhancing community tolerance. Therefore, we systematically examined and evaluated peer-reviewed articles and book chapters on existing and implemented mitigation measures. We use the software Publish or Perish to achieve this, and we assess using the Preferred Reporting of Items for Systematic Review and Meta-Analysis (PRISMA) review approach. We thoroughly analyzed 42 papers and book chapters that were condensed human- snow leopard co-existence-related literature published in English from 2010 to 2023. Almost 90% of the papers were country-specific, with the remaining papers covering regional or snow leopard ranges countries. Nepal had the most papers, followed by China, India, and Mongolia; however, Afghanistan, Bhutan, Pakistan, Russia, and Tajikistan each had<10%, but there was no single document from Kazakhstan or Kyrgyzstan. Predator-proof corral, improved herding practices, and community-based insurance programs were three of the key recommendations that were more than 10 to 22 times proposed interventions. There are site-specific sociocultural situations and environments that require long-term action-oriented research that is area-specific rather than short-term and generic interventions. We identified a large knowledge gap in snow leopard research, specifically a lack of evidence that demonstrates and quantifies the effects of conservation actions, and strongly advise that it be further researched.
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. (2023). Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection. Ecological Informatics, 77(102214), 1–14.
Abstract: Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone.
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Green, M. (1981). A check-list and some notes concerning the mammlas of the Langtang National Park, Nepal. Journal of the Bombay Natural History Society, 78(1), 77–87.
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Kashkadarinskaya Pravda Newspaper. (1983). Snow leopard goes to Frunze (Vol. 79 (26-11)).
Abstract: In canyon Karakol of the Alatoo ridge, a snow leopard was caught for a zoo of Frunze.
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Shah, K. B. (1989). On a hunting pair of snow leopards in western Nepal. Journal of Bombay Natural Historical Society, 86, 236–237.
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Christiansen, P. (2007). Canine morphology in the larger Felidae: implications for feeding ecology. Biological Journal of the Linnean Society, 91, 573–592.
Abstract: Canine morphology is analysed at seven intervals along the crown in both
anteroposterior and lateromedial perspective in seven species of large felids. The puma and the snow leopard have stout, rather conical canines, whereas those of lions, jaguars, and tigers bear substantial resemblance to each other, reflecting their phylogenetic relationships, and are less conical and large. The canines of the leopard are intermediate in morphology between those of the other species, probably reflecting its more generalized diet. The clouded leopard has very large and blade-like canines, which are different from the other analysed species. Canine bending strengths to estimated bite forces appear to differ less among the species than morphology,indicating that the evolution of canines has been constricted with respect to their strength in failure, probably owing to their being equally important for species fitness. However, the clouded leopard again stands out, having a high estimated bite force and rather weak canines in bending about the anteroposterior as well as lateromedial planes compared to the other species. Canine morphology to some extent reflects differences in killing mode, but also appears to be related to the phylogeny. The marked divergence of the clouded leopard is presently not understood.
Keywords: bite force, canine, clouded leopard, feeding behaviour, felid, Homotherium serum, leopard, Megantereoncultridens, morphology, Neofelis nebulosa, paleontology, Panthera pardus, Panthera tigris, puma, Puma concolor, Smilodon fatalis, Smilodon populator, snow leopard, Uncia uncia
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Rana, B. S. (1997). Distinguishing kills of two large mammalian predators in Spiti Valley Himachal Pradesh. J.Bombay Nat.Hist.Soc, 94(3), 553.
Abstract: The author studied livestock killed by predators in the Spiti Valley, India, to determine what species had killed yaks, horses, donkeys, and other domestic animals. Eleven of the kills examined were made by snow leopards and six by the Tibetan wolf. Wolves were involved in surplus killings, while snow leopards kill as food is needed. lgh
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. (2019). POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL.98(3), 332–342.
Abstract: 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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McCarthy, T., Fuller, T., & Munkhtsog, B. (2005). Movements and activities of snow leopards in Southwestern Mongolia (Vol. 124).
Abstract: Four adult (2M:2F) snow leopards (Uncia uncia) were radio-monitored (VHF; one also via satellite) year-round during 1994-1997 in the Altai Mountains of southwestern Mongolia where prey densities (i.e., ibex, Capra siberica) were relatively low (0.9/km2). Marked animals were more active at night (51%) than during the day (35%). Within the study area, marked leopards showed strong a.nity for steep and rugged terrain, high use of areas rich in ungulate prey, and a.nity for habitat edges. The satellite-monitored leopard moved more than 12 km on 14% of consecutive days monitored. Home ranges determined by standard telemetry techniques overlapped substantially and were at least 13-141 km2in size. However, the satellite-monitored individual apparently ranged over an area of at least 1590 km2, and perhaps over as much as 4500 km2. Since telemetry attempts from the ground were
frequently unsuccessful dx¬ 72%_, we suspect all marked animals likely had large home ranges. Relatively low prey abundance in the area also suggested that home ranges of >500 km2were not unreasonable to expect, though these are >10-fold larger than measured in any other part of snow leopard range. Home ranges of snow leopards may be larger than we suspect in many areas, and thus estimation of snow leopard conservation status must rigorously consider logistical constraints inherent in telemetry studies, and the relative abundance of prey.
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Slifka, K., Stacewicz-Sapuntzakis, S. M., Bowen, P., & Crissey, S. (1999). A Survey of Serum and Dietary Carotenoids in Captive Wild Animals. The Journal of Nutrition, 129, 380–390.
Abstract: Accumulation of carotenoids varies greatly among animal species and is not fully characterized.
Circulating carotenoid concentration data in captive wild animals are limited and may be useful for their management.
Serum carotenoid concentrations and dietary intakes were surveyed and the extent of accumulation
categorized for 76 species of captive wild animals at Brookfield Zoo. Blood samples were obtained opportunistically
from 275 individual animals immobilized for a variety of reasons; serum was analyzed for a- and b-carotene,
lutein 1 zeaxanthin, lycopene, b-cryptoxanthin and canthaxanthin. Total carotenoid content of diets was calculated
from tables and chemical analyses of commonly consumed dietary components. Diets were categorized as
low, moderate or high in carotenoid content as were total serum carotenoid concentrations. Animals were
classified as unknown, high, moderate or low (non-) accumulators of dietary cartenoids. Nonaccumulators had total
serum carotenoid concentrations of 0-101 nmol/L, whereas accumulators had concentrations that ranged widely,
from 225 to 35,351 nmol/L. Primates were uniquely distinguished by the widest range of type and concentration
of carotenoids in their sera. Most were classified as high to moderate accumulators. Felids had high accumulation
of b-carotene regardless of dietary intake, whereas a wide range of exotic birds accumulated only the xanthophylls,
lutein 1 zeaxanthin, canthaxanthin or cryptoxanthin. The exotic ungulates, with the exception of the bovids, had
negligible or nondetectable carotenoid serum concentrations despite moderate intakes. Bovids accumulated only
b-carotene despite moderately high lutein 1 zeaxanthin intakes. Wild captive species demonstrated a wide variety
of carotenoid accumulation patterns, which could be exploited to answer remaining questions concerning carotenoid
metabolism and function.
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