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	Author	Bhatia, S., Suryawanshi, K., Redpath, S., Namgail, S., Mishra, C.
	Title	Understanding People's Relationship With Wildlife in Trans-Himalayan Folklore.			Type	Journal Article
	Year	2021	Publication	Frontiers in Environmental Science	Abbreviated Journal
	Volume	9	Issue	595169	Pages	1-10
	Keywords	attitudes, culture, human-wildlife, narrative, stories, storytelling
	Abstract	People's views and values for wild animals are often a result of their experiences and traditional knowledge. Local folklore represents a resource that can enable an understanding of the nature of human-wildlife interactions, especially the underlying cultural values. Using archival searches and semi-structured interviews, we collected narratives about the ibex (Capra sibirica) (n = 69), and its predators, the wolf (Canis lupus) (n = 52) and the snow leopard (Panthera uncia) (n = 43), in Ladakh, India. We compared these stories to those of a mythical carnivore called seng ge or snow lion (n = 19), frequently referenced in local Tibetan Buddhist folklore and believed to share many of the traits commonly associated with snow leopards (except for livestock depredation). We then categorized the values along social-cultural, ecological and psychological dimensions. We found that the ibex was predominantly associated with utilitarianism and positive symbolism. Both snow leopard and wolf narratives referenced negative affective and negative symbolic values, though more frequently in the case of wolves. Snow leopard narratives largely focused on utilitarian and ecologistic values. In contrast, snow lion narratives were mostly associated with positive symbolism. Our results suggest that especially for snow leopards and wolves, any potentially positive symbolic associations appeared to be overwhelmed by negative sentiments because of their tendency to prey on livestock, unlike in the case of the snow lion. Since these values reflect people's real and multifarious interactions with wildlife, we recommend paying greater attention to understanding the overlaps between natural and cultural heritage conservation to facilitate human-wildlife coexistence.
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	Notes				Approved	no
	Call Number				Serial	1632
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	Author	Johansson, O., Ullman, K., Lkhagvajav, P., Wiseman, M., Malmsten, J., Leijon, M.
	Title	Detection and Genetic Characterization of Viruses Present in Free-Ranging Snow Leopards Using Next-Generation Sequencing			Type	Journal Article
	Year	2020	Publication	Frontiers in Veterinary Science	Abbreviated Journal
	Volume	7	Issue	645	Pages	1-9
	Keywords	snow leopard, free-ranging, virome, Mongolia, rectal swabs, next-generating sequencing, Panthera unica
	Abstract	Snow leopards inhabit the cold, arid environments of the high mountains of South and Central Asia. These living conditions likely affect the abundance and composition of microbes with the capacity to infect these animals. It is important to investigate the microbes that snow leopards are exposed to detect infectious disease threats and define a baseline for future changes that may impact the health of this endangered felid. In this work, next-generation sequencing is used to investigate the fecal (and in a few cases serum) virome of seven snow leopards from the Tost Mountains of Mongolia. The viral species to which the greatest number of sequences reads showed high similarity was rotavirus. Excluding one animal with overall very few sequence reads, four of six animals (67%) displayed evidence of rotavirus infection. A serum sample of a male and a rectal swab of a female snow leopard produced sequence reads identical or closely similar to felid herpesvirus 1, providing the first evidence that this virus infects snow leopards. In addition, the rectal swab from the same female also displayed sequence reads most similar to feline papillomavirus 2, which is the first evidence for this virus infecting snow leopards. The rectal swabs from all animals also showed evidence for the presence of small circular DNA viruses, predominantly Circular Rep-Encoding Single-Stranded (CRESS) DNA viruses and in one case feline anellovirus. Several of the viruses implicated in the present study could affect the health of snow leopards. In animals which are under environmental stress, for example, young dispersing individuals and lactating females, health issues may be exacerbated by latent virus infections.
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	Notes				Approved	no
	Call Number				Serial	1612
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	Author	Khanyari, M., Suryawanshi, K. R., Milner-Gulland, E. J., Dickinson, E., Khara, A., Rana, R. S., Vineer, H. R., Morgan, E. R.
	Title	Predicting Parasite Dynamics in Mixed-Use Trans-Himalayan Pastures to Underpin Management of Cross-Transmission Between Livestock and Bharal			Type	Journal Article
	Year	2021	Publication	Frontiers in Veterinary Science	Abbreviated Journal
	Volume	8	Issue	714241	Pages	1 - 21
	Keywords	disease, Trans-Himalaya, livestock, nematodes, bharal, model, ungulates, grazing
	Abstract	The complexities of multi-use landscapes require sophisticated approaches to addressing disease transmission risks. We explored gastro-intestinal nematode (GINs) infections in the North India Trans-Himalayas through a socio-ecological lens, integrating parasite transmission modelling with field surveys and local knowledge, and evaluated the likely effectiveness of potential interventions. Bharal (blue sheep; Pseudois nayaur), a native wild herbivore, and livestock share pasture year-round and livestock commonly show signs of GINs infection. While both wild and domestic ungulates had GINs infections, egg counts indicated significantly higher parasite burdens in bharal than livestock. However, due to higher livestock densities, they contributed more to the total count of eggs and infective larvae on pasture. Herders also reported health issues in their sheep and goats consistent with parasite infections. Model simulations suggested that pasture infectivity in this system is governed by historical pasture use and gradually accumulated larval development during the summer, with no distinct short-term flashpoints for transmission. The most effective intervention was consequently predicted to be early-season parasite suppression in livestock using temperature in spring as a cue. A 1-month pause in egg output from livestock could lead to a reduction in total annual availability of infective larvae on pasture of 76%, potentially benefitting the health of both livestock and bharal. Modelling suggested that climate change over the past 33 years has led to no overall change in GINs transmission potential, but an increase in the relative influence of temperature over precipitation in driving pasture infectivity. Our study provides a transferable multi-pronged approach to investigating disease transmission, in order to support herders’ livelihoods and conserve wild ungulates.
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	Call Number	SLN @ rakhee @			Serial	1673
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	Author	Suryawanshi, K.
	Title	An encounter in snow			Type	Magazine Article
	Year	2011	Publication	FRONTLINE	Abbreviated Journal
	Volume	28	Issue	10	Pages
	Keywords
	Abstract	In the trans-Himalayan region, a conservation effort has reduced conflicts between snow leopards and pastoralists. Photographs & text by author.
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	Language	English	Summary Language		Original Title
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	Notes	http://www.frontline.in/stories/20110520281005800.htm; INDIA'S NATIONAL MAGAZINE, from the publishers of THE HINDU, May 7-20, 2011			Approved	no
	Call Number	SLN @ rana @			Serial	1316
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	Author	Kleinman, M.S.; Garman, R.H.
	Title	An endoscopic approach to a snow leopard			Type	Journal Article
	Year	1978	Publication	Gastroenterology	Abbreviated Journal
	Volume	74	Issue	6	Pages	1348
	Keywords	Animal; Bezoars; veterinary; Carnivora; Cats; Esophagoscopy; Male; browse; 370
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	ISSN	0016-5085	ISBN		Medium
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	Notes	Document Type: eng			Approved	no
	Call Number	SLN @ rana @ 47			Serial	536
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	Author	Sharma, R.
	Title	Of Men and Mountain Ghosts: Glimpses from the Rooftop of the World			Type	Magazine Article
	Year	2010	Publication	GEO	Abbreviated Journal
	Volume	3	Issue	6	Pages	56-67
	Keywords	snow leopard, camera trap, Spiti, India, Sharma
	Abstract	Catching a glimpse of a snow leopard is a rare and exciting event for anyone. For researchers, hideen camera traps have become a vital tool in their work.
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	Publisher	GEO International	Place of Publication	India	Editor
	Language	English	Summary Language		Original Title
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	Notes				Approved	no
	Call Number	SLN @ rana @			Serial	1139
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	Author	Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H.
	Title	Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region			Type	Journal Article
	Year	2023	Publication	Geo: Geography and Environment	Abbreviated Journal
	Volume	10	Issue	e00121	Pages	1-15
	Keywords	bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region
	Abstract	The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1719
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	Author	Hunter, D.O.
	Title	Science and Spirit:GIS tracks the elusive snow leopard			Type	Journal Article
	Year	1991	Publication	GeoInfo Systems	Abbreviated Journal
	Volume	Jan	Issue		Pages	21-28
	Keywords	Gis; home-range; movements; home; range; browse; 3350
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	Notes				Approved	no
	Call Number	SLN @ rana @ 185			Serial	393
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	Author	Ahmad, S., Ali, H., Asif, M., Khan, T, Din, N., Rehman, E. U., Hameed, S., Din, J. U., Nawaz, M. A.
	Title	Spatial density pattern of Himalayan Ibex (Capra sibirica) in Pakistan			Type	Journal Article
	Year	2022	Publication	Global Ecology & Conservation	Abbreviated Journal
	Volume	39	Issue	e02288	Pages	1-12
	Keywords	Himalayan ibex, Population, Hindu Kush, Himalaya, Karakoram, Pakistan
	Abstract	Mountain ungulates perform a key role in maintaining the balance of ecosystems as they are the primary consumers of vegetation and prey for large predators. The mountain ranges of northern Pakistan are home to six species of mountain ungulates, and the Himalayan ibex (Capra sibirica), hereafter ibex, is the most abundant among them. This study was conducted in three administrative regions of northern Pakistan, viz. Gilgit-Baltistan (GB), Azad Jammu and Kashmir (AJK), and Khyber Pakhtunkhwa (KP), to generate a range-wide density pattern map of ibex. A double-observer survey was conducted in 25 study sites during 2018–2021 across the ibex distribution range, covering an area of about 35,307 km2, by walking transects totaling 1647 km. Within the ibex range where the survey was not conducted due to financial and logistical constraints, we obtained species population information from local wildlife departments’ most recent annual survey data. The aim was to generate a density map for the entire ibex range. Using the BBRe-capture package in program R, we estimated an ibex population of 7639 (95 % CI) with a mean density of 0.21/km2 in the surveyed area. Combining with the secondary data from un-surveyed areas, the total population estimate for the country came to 10,242 ibex. The largest population densities were observed in four valleys (Shimshal, Gulkin-Hussaini, Khyber, and Khunjerab) of the Karakoram-Pamir range, followed by the Hindu Kush range (Chitral Wildlife Division [WD]). The central and eastern parts of the Karakoram range had moderate to low densities, while the Himalayan range (e.g., Astore Valley) supported a small population. The mean herd size was 15 individuals (range: 5–41), and the average detection probability of observers A and B was 0.69 and 0.48, respectively. The average male and young ratios per 100 females were estimated to be 75 and 81, respectively. The range-wide density map developed during the study provided an evidence for the impact of trophy hunting programs and an objective tool for range-wide conservation planning of the species.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1699
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	Author	Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S.
	Title	Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies			Type	Journal Article
	Year	2023	Publication	Global Ecology & Conservation	Abbreviated Journal
	Volume	41	Issue	e02350	Pages	1-13
	Keywords	Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter
	Abstract	Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1715
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