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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. (2023). Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies. Global Ecology & Conservation, 41(e02350), 1–13.
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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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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Bower, J. N. (1980). For some endangered species, captive breeding programs are their last chance for life. National Parks and Conservation Magazine, (June), 16–19.
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Bower, J. N. (1983). Shy, elusive, struggling to survive: the snow leopard. The Explorer, , 9–11.
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Bowling, B. (2004). The Legal Status of Snow Leopards in Afghanistan. United Nations Environment Programme.
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Braden, K. (1988). Snow leopard conservation in the USSR. Snow Line, Fall, 2.
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Brem A.E. (1992). Irbis, or snow leopard (Felis uncia) (Vol. Vol.1. Mammals.).
Abstract: Snow leopard is met in the mountains of Turkistan, Altai, Bukhara, Pamir, Kashmir, and Tibet, and probably in South-East Siberia and along Sungari. In 1871, two animals were living in the Moscow Zoo Garden.
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Broder, J., MacFadden, A., Cosens, L., Rosenstein, D., & Harrison, T. (2008). Use of Positive Reinforcement Conditioning to Monitor Pregnancy in an Unanesthetized Snow Leopard
(Uncia uncia) via Transabdominal Ultrasound (Vol. 27).
Abstract: Closely monitoring snow leopard (Uncia uncia) fetal developments via transabdominal ultrasound, with minimal stress to the animal, was the goal of this project. The staff at Potter Park Zoo has used the principles of habituation, desensitization, and positive reinforcement to train a female snow leopard (U. uncia). Ultrasound examinations were preformed on an unanesthetized feline at 63 and 84 days. The animal remained calm and compliant throughout both procedures. Fetuses were observed and measured on both occasions. The absence of anesthesia eliminated components of psychologic and physiologic stress associated with sedation. This was the first recorded instance of transabdominal ultrasound being carried out on an unanesthetized snow leopard. It documents the feasibility of detecting pregnancy and monitoring fetal development via ultrasound.
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Brown, J. L., Wasser, S. K., Wildt, D. E., & Graham, L. H. (1994). Steroid Metabolism and the Effectiveness of Fecal Assays for Assessing Reproductive Status in Felids. Biology of Reproduction, 50(suppl 1), 185.
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Burgelo T.B. (1986). Brief information of snow leopard.
Abstract: This article describes the encounters with snow leopard and their traces in various areas of Kazakhstan. In the Aksu Djabagly nature reserve, population of snow leopard does not exceed 10-12 animals. There were found remains of moral, argali, ibex, small birds, red-tailed marmot, hare (Lepus talai), mouse rodents and plants. One encounter with snow leopard is known to have occurred in the Greater Almaty Canyon in 1971-1981. There are no less than 25 snow leopards in the Jungar Ala-Tau. Snow leopard was found in the Aksu river valley, ridge Saur, and South Altai. The following number of snow leopards was kept in Kazakhstan's zoos, as of January 1, 1984: two males in Alma-Ata, one female in Chimkent. In 1976, one cub was born in the Alma-Ata zoo.
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Burgener, N., Gusset, M., & Schmid, H. (2008). Frustrated appetitive foraging behavior, stereotypic pacing, and fecal glucocorticoid levels in snow leopards (Uncia uncia) in the Zurich Zoo (Vol. 11).
Abstract: This study hypothesized that permanently frustrated, appetitive-foraging behavior caused the stereotypic pacing regularly observed in captive carnivores. Using 2 adult female snow leopards (Uncia uncia), solitarily housed in the Zurich Zoo, the study tested this hypothesis experimentally with a novel feeding method: electronically controlled, time-regulated feeding boxes. The expected result of employing this active foraging device as a successful coping strategy was reduced behavioral and physiological measures of stress, compared with a control-feeding regime without feeding boxes. The study assessed this through behavioral observations and by evaluating glucocorticoid levels noninvasively from feces. Results indicated that the 2 snow leopards did not perform successful coping behavior through exercising active foraging behavior or through displaying the stereotypic pacing. The data support a possible explanation: The box-feeding method did not provide the 2 snow leopards with the external stimuli to satisfy their appetitive behavioral needs. Moreover, numerous other factors not necessarily or exclusively related to appetitive behavior could have caused and influenced the stereotypic pacing.
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Bykova E.A. (2004). Method of questionnaire design used for the collecting of primary data on threatened species with the example of snow leopard.
Abstract: Method of questionnaire design is used for long time successfully in the various fields of zoological research. This method is most significant for the collecting of data on threatened species. It can be applied together with standard inquest and survey methods without taking remarkable financial and temporal expenses. Such data can be assigned as the base for further planning of scientific investigations of the threatened species. In the result of survey, there were gathered 96 records of Snow Leopard and its tracks of the vital functions on Ugam, Pskem, Chatkal, Turkestan and Hissar ridges. Majority of records was made on Hissar ridge either on the area of Hissar reserve, either outside of protected area. There was collected data on distribution of Snow Leopard in Uzbekistan, on its territorial and food behavior, cases and causes of poaching. As a conclusion, it seems to be rational to use the method of questionnaire design among rangers of protected areas and local inhabitants for the collecting of primary information on threatened animal species. It would be optimal to gather such data every 3-4 years that would allow receiving the fresh comparable year-by-year information. Interpretation of questionnaire data should be made with certain prudence, taking into account subjectivity of collected information. Therefore during gathering of questionnaire data it is desirable personal attendance of researcher for more accurate definition of answers on the presented questions.
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Camp, V. (1976). The winter pussycat (Vol. XII).
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Chadwick, D. H. (2008). Out of the Shadows: The elusive Central Asian snow leopard steps into a. National geographic, 213(6), 106–129.
Abstract: The elusive Central Asian snow leopard steps into a risk-filled future.
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Chalise, M. K. (2008). Nepalka Samrakshit Banyajantu (Nepal's Protected Wildlife in Nepali language). Lalitpur, Kathmandu: Shajha Prakashan.
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Chalise, M. K. (2011). Snow Leopard (Uncia uncia), Prey Species and Outreach in Langtang National, Park, Nepal. Our Nature, (9), 138–145.
Abstract: Presence of snow leopard (Uncia uncia) in Langtang National Park was obscure till 2003. It was confirmed by a
research team trained for the wildlife biology in the field. Along with the study of ecology and behavior of snow leopard sufficient effort were made to generate data on pre species. The study also dealt with threat perceived for the leopard survival while basic unit of conservation- local outreach programs were also initiated.
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Chalise, M. K., & Shakya, P. R. (2002). EDITORIAL: Snow Leopard Investigation in Langtang. Nahson Bulletin, 12-13(2002-2003), 1.
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Chapron, G. (2005). Re-wilding: other projects help carnivores stay wild. Nature, 437, 318.
Abstract: Letter to Nature Editor, in response to: In their plea for bringing Pleistocene wildlife to the New World (“Re-wilding North America” Nature 436, 913–914; 2005), Josh Donlan and colleagues do not discuss successful efforts to ensure long-term survival of large carnivores in Africa and Asia. A few examples are given.
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Cherkasova M.V. (1982). Predators.
Abstract: Among species included in the Red Data Book of the USSR, predators occupy the first place; of them, unconditional leadership belongs the cat family species. Nine of eleven species of the family are referred to as rare and endangered ones. In the past snow leopard (Uncia uncia) inhabited all mountains on the south of the USSR from Tien Shan and Pamir to Transbaikalia. Now it no longer inhabits many of its previous habitats and has become rare, everywhere. Its total population in the USSR is no more than 1000 animals. At the beginning of XX century there were cases that such an amount of snow leopard (i.e. 1,000) was hunted during one year. Until recently, hunting the species was allowed all year round and even encouraged.
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Chernogaev E.A. (1978). Materials on rare and protected species of the Kyzylsu nature reserve.
Abstract: This survey was being done (May, 1975 February, 1976) in the new Kyzylsu nature reserve, established in 1975. Before 1975, the anthropogenic pressure was mainly represented by overgrazing and unregulated hunting. Provided are data on bird species (bearded vulture, Himalayan vulture, griffon vulture, golden eagle, and Himalayan snow cock), mammal species (long-tailed marmot, Indian porcupine, brown bear, lynx, snow leopard, and Siberian ibex).
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Chernogaev E.A. (1996). Modern condition and number of animals in nature reserves of Uzbekistan (Vol. Issue 1.).
Abstract: There is adducing information about number and modern condition of C.ferox, G.barbatus, A.chrisa‰tus, M.menzbieri, U.arctosisabellinus, L.lutra seistanica, H.hiena, F.lynx isabellina, U.uncia, C.elaphus bactrianus, G.subgutturoza, C.falconeri, O. ammon severtzovi, O. orientalis bochariensis and other species during last years in Chatkal, Nuratau, Hissar, Surkhan and Kyzylkum nature reserves. There is prognosis in changing of number.
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Chichikin Yu.N. (1968). Ways to enrich game fauna of Kyrgyzstan.
Abstract: In Kyrgyzstan, there are 106 mammal and 111 bird species. 40 mammal and 70 bird species are game ones. Resources of some of them were undermined due to over-hunting. Moral, goitered gazelle, pheasant have disappeared; argali, roe deer, and wild boar have become not numerous. In order to protect game fauna and regulate hunting of wild animals, hunting was prohibited at lake Issyk-Kul (1948); hunting for moral, goitered gazelle, swan, bar-headed goose, pheasant, snow leopard, bear, and argali was prohibited too (1952, 1956 and 1958).
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Chichikin Yu.N., Y. A. I. (1969). Issyk Kul nature reserve.
Abstract: A description of the Issyk Kul nature reserve (Kyrgyzstan) is given and includes as follows: data of establishment, location, physic and geographic description, climate, flora and fauna. Snow leopard inhabited in Jety Oguz site of the nature reserve.
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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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Chubykina, H. L., Shilo, R.A. (1981). A study of diurnal activity rhythms in snow leopards and lynx (Panthera uncia and Felix lynx) at Novosibirsk Zoo. International Zoo Yearbook, 21, 193–196.
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