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Author | Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. | ||||
Title | Camera-Trapping of Snow Leopards | Type | Journal Article | ||
Year | 2005 | Publication | Cat News | Abbreviated Journal | |
Volume | 42 | Issue | Spring | Pages | 19-21 |
Keywords | camera trapping; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; felids; tigers; tiger; techniques; surveys; survey; information; factor; marking; behavior; Ahlborn; Jackson; habitat; status; range; census; India; Hemis; High; national; national park; National-park; park; Ladakh; leh | ||||
Abstract | Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North). | ||||
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Notes | Approved | no | |||
Call Number | SLN @ rana @ 1017 | Serial | 475 | ||
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Author | Riordan, P. | ||||
Title | Unsupervised recognition of individual tigers and snow leopards from their footprints | Type | Miscellaneous | ||
Year | 1998 | Publication | Animal Conservation | Abbreviated Journal | |
Volume | 1 | Issue | Pages | 253-262 | |
Keywords | captive; panthera tigris; panthera uncia; snow leopard; techniques; tiger | ||||
Abstract | 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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Notes | Approved | no | |||
Call Number | SLN @ rana @ 896 | Serial | 823 | ||
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Author | Sangay, T.; Vernes, K. | ||||
Title | Human-wildlife conflict in the Kingdom of Bhutan: Patterns of livestock predation by large mammalian carnivores | Type | Miscellaneous | ||
Year | 2008 | Publication | Biological Conservation | Abbreviated Journal | |
Volume | 141 | Issue | Pages | 1272-1282 | |
Keywords | bear; Bhutan; compensation; conflict; Himalayas; leopard; livestock; predation; snow leopard; tiger | ||||
Abstract | We examined predation activity throughout Bhutan by tiger (Panthera tigris), common leopard (Panthera pardus), snow leopard (Uncia uncia) and Himalayan black bear (Ursus thibetanus) on a variety of livestock types using data gathered over the first two years (2003-2005) of a compensation scheme for livestock losses. One thousand three hundred and seventy five kills were documented, with leopards killing significantly more livestock (70% of all kills), than tigers (19%), bears (8%) and snow leopards (2%). About 50% of livestock killing were of cattle, and about 33% were of horses, with tigers, leopards and snow leopards killing a significantly greater proportion of horses than predicted from availability. Examination of cattle kills showed that leopards killed a significantly greater proportion of smaller prey (e.g., calves), whereas tigers killed a significantly greater proportion of larger prey (e.g., bulls). Overall, livestock predation was greatest in summer and autumn which corresponded with a peak in cropping agriculture; livestock are turned out to pasture and forest during the cropping season, and subsequently, are less well guarded than at other times. Across Bhutan, high horse density and low cattle and yak density were associated with high rates of livestock attack, but no relationship was found with forest cover or human population density. Several northern districts were identified as 'predation hotspots', where proportions of livestock lost to predation were considerable, and the ratio of reported kills to relative abundance of livestock was high. Implications of our findings for mitigating livestock losses and for conserving large carnivores in Bhutan are discussed. |
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Notes | Approved | no | |||
Call Number | SLN @ rana @ 903 | Serial | 842 | ||
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Author | Ali, S.M. | ||||
Title | The Cats of India | Type | Journal Article | ||
Year | 1990 | Publication | Myforest | Abbreviated Journal | |
Volume | 26 | Issue | 3 | Pages | 275-291 |
Keywords | lion; clouded-leopard; cheetah; tiger; leopard; snow-leopard; India; Panthera-leo; Neofelis-nebylosa; Acinonyx-jubatus; Panthera-tigris; Panthera-pardus; Panthera-uncia; behavior; ecology; snow leopard; browse; panthera; uncia; pardus; clouded; leo; neofelis; nebylosa; ancinonyx; jubatus; 820 | ||||
Abstract | Describes the range, behaviour and ecology of lion Panthera leo, tiger P. tigris, leopard P. pardus, snow leopard P. uncia, clouded leopard Neofelis nebylosa and cheetah Acinonyx jubatus. -P.J.Jarvis | ||||
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Language | English | Summary Language | Original Title | ||
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Notes | Approved | no | |||
Call Number | SLN @ rana @ 144 | Serial | 59 | ||
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Author | Arias, M., Coals, P., Ardiantiono, Elves-Powell, J., Rizzolo, J. B., Ghoddousi, A., Boron, V., da Silva, M., Naude, V., Williams, V., Poudel, S., Loveridge, A., Payan, E., Suryawanshi, K., Dickman, A. | ||||
Title | Reflecting on the role of human-felid conflict and local use in big cat trade | Type | Journal Article | ||
Year | 2024 | Publication | Conservation Science and Practice | Abbreviated Journal | |
Volume | 6 | Issue | e13030 | Pages | 1-7 |
Keywords | conflict, illegal trade, jaguar, leopard, lion, Panthera, snow leopard, tiger, wildlife crime | ||||
Abstract | Illegal trade in big cat (Panthera spp.) body parts is a prominent topic in scientific and public discourses concerning wildlife conservation. While illegal trade is generally acknowledged as a threat to big cat species, we suggest that two enabling factors have, to date, been under-considered. To that end, we discuss the roles of human-felid conflict, and “local” use in illegal trade in big cat body parts. Drawing examples from across species and regions, we look at generalities, contextual subtleties, ambiguities, and definitional complexities. We caution against underestimating the extent of “local” use of big cats and highlight the potential of conflict killings to supply body parts. | ||||
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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1745 | ||
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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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Author | Mishra, C.; Madhusudan, M.D.; Datta, A. | ||||
Title | Mammals of the high altitudes of western Arunachal Pradesh, eastern Himalaya: an assessment of threats and conservation needs | Type | Miscellaneous | ||
Year | 2006 | Publication | Oryx | Abbreviated Journal | |
Volume | 40 | Issue | 1 | Pages | 1-7 |
Keywords | anthropogenic; area; Arunachal; assessment; awareness; bharal; biodiversity; carnivore; carnivores; community; community-based; conservation; deer; depredation; dhole; endangered; extinct; fauna; goral; grazing; habitat; habitats; High; Himalaya; hunting; incentives; India; indian; Iucn; leopard; livestock; livestock-depredation; livestock depredation; local; mammals; musk; musk-deer; nayaur; panthera; people; peoples; plant; plants; potential; Pseudois; Pseudois-nayaur; pseudois nayaur; range; recent; region; Report; reserve; resource; schools; snow; snow-leopard; snow leopard; species; survey; surveys; threat; threatened; threats; tiger; uncia; Uncia-uncia; Uncia uncia; ungulate; ungulates; valley; wildlife; work; Panthera-tigris; tigris | ||||
Abstract | The high altitudes of Arunachal Pradesh,India, located in the Eastern Himalaya biodiversity hotspot, remain zoologically unexplored and unprotected. We report results of recent mammal surveys in the high altitude habitats of western Arunachal Pradesh. A total of 35 mammal species (including 12 carnivores, 10 ungulates and 5 primates) were recorded, of which 13 are categorized as Endangered or Vulnerable on the IUCN Red List. One species of primate, the Arunachal macaque Macaca munzala, is new to science and the Chinese goral Nemorhaedus caudatus is a new addition to the ungulate fauna of the Indian subcontinent. We documented peoples' dependence on natural resources for grazing and extraction of timber and medicinal plants. The region's mammals are threatened by widespread hunting. The snow leopard Uncia uncia and dhole Cuon alpinus are also persecuted in retaliation for livestock depredation. The tiger Panthera tigris, earlier reported from the lower valleys, is now apparently extinct there, and range reductions over the last two decades are reported for bharal Pseudois nayaur and musk deer Moschus sp.. Based on mammal species richness, extent of high altitude habitat, and levels of anthropogenic disturbance, we identified a potential site for the creation of Arunachal's first high altitude wildlife reserve (815 km2). Community-based efforts that provide incentives for conservation-friendly practices could work in this area, and conservation awareness programmes are required, not just amongst the local communities and schools but for politicians, bureaucrats and the army. | ||||
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Call Number | SLN @ rana @ 861 | Serial | 697 | ||
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Author | Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K.,Ekaterina, P. | ||||
Title | HELMINTHS OF RARE FELINE SPECIES (FELIDAE) IN SIBERIA AND THE RUSSIAN FAR EAST | Type | Journal Article | ||
Year | 2017 | Publication | International Journal of Research In | Abbreviated Journal | |
Volume | Issue | Pages | 70-74 | ||
Keywords | Helminths, Amur tiger, Amur leopard, Pallas's cat, Snow leopard. | ||||
Abstract | 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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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1481 | ||
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Author | Sivolobov, R. | ||||
Title | ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR | Type | Journal Article | ||
Year | 2017 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 225-233 | ||
Keywords | endangered species, Beringian snow cat, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, camera-trap, Koryakia, Chukotka | ||||
Abstract | After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka one of the five cameras recorded finally this beast at night in September 2014. This is not so much a sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies. In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these animals his life and his article devoted to this topic. |
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Call Number | SLN @ rakhee @ | Serial | 1456 | ||
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Author | Kashkarov, E. | ||||
Title | ZOOGEOGRAPHICAL DISCOVERIES IN WESTERN BERINGIA | Type | Journal Article | ||
Year | 2017 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 208-217 | ||
Keywords | zoogeographical discoveries, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, global warming, hundred-year rhythm, Beringia, Koryakia, Chukotka. | ||||
Abstract | Among zoogeographical discoveries of the frontier of XXI century there is nothing more interesting than discoveries of Rodion Sivolobov in Western Beringia. Beringia has surprised us by paleontological discoveries many centuries ago, and also surprised by modern one. Somehow they came out of attention of all International environmental foundations and Academies of the world, as if on purpose to show their professional incompetence. It is the only way to describe the organization, not to notice the appearance of such big cats as the Snow leopard and Amur tiger for 5,000 kilometers from the border of main range, as well as large Pleistocene relict � the Irkuyembear. All three endangered species of mammals found by Sivolobov in Koryakia and Chukotka, and for the snow leopard he took the world's first photo in Beringia. New facts suggests two things: (1) the ancient refuges of big cats locate to Koryakia and Chukotka much closer of main ranges, (2) global warming, changing natural environment on the waves of hundred-year rhythms, periodically pushing irbis and tiger on the ways of ancient Beringian migrations stored in their genetic memories. Irkuyem is a contemporary of the mammoth. 209 Unlike it, this bear lived up to our days, but remained undetected even by the large “mammoths” of science. |
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Call Number | SLN @ rakhee @ | Serial | 1455 | ||
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