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| Author | De Groot, H.; Van Swieten, P.; Aalberse, R.C. | ||||
| Title | Evidence for a Fel d I-like molecule in the “big cats” (Felidae species) | Type | Journal Article | ||
| Year | 1990 | Publication | J Allergy Clin Immunol | Abbreviated Journal | |
| Volume | 86 | Issue | 1 | Pages | 107-116 |
| Keywords | Adolescence; Adult; Allergens; immunology; Animal; Antibodies; Monoclonal; diagnostic; use; Antibody; Specificity; Carnivora; Cats; Comparative; study; Cross; Reactions; Hair; Histamine; Release; Human; IgE; analysis; IgG; Middle; Age; Radioallergosorbent; Test; methods; Support; Non-U.S.Gov't; browse; us; government; gov't; 240 | ||||
| Abstract | In this study, we investigated the cross-reactivity pattern of IgE and IgG4 antibodies to the major feline allergen, Fel d I. We studied the IgE and IgG4 response of 11 cat-allergic patients against Fel d I-like structures in eight members of the Felidae family: ocelot, puma, serval, siberian tiger, lion, jaguar, snow leopard, and caracal. Hair from these “big cats” was collected, extracted, and used in a RAST system and histamine-release test. By means of a RAST-inhibition assay with affinity-purified Fel d I from cat dander, it was established that, in the Felidae species, a Fel d I equivalent is present that reacts with IgE and IgG4 antibodies. We found that all patients had cross-reacting IgE antibodies to seven of the Felidae tested; no IgE antibodies reactive with the caracal were found. Eight of 10 patients with IgG4 antibodies directed to cat dander also had IgG4 antibodies directed to several Felidae species, including the caracal. However, the correlation between the IgE and the IgG4 antibody specificity was low, indicating that, in the case of Fel d I IgE and IgG4, antibodies do not necessarily have the same specificity. | ||||
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| ISSN | 0091-6749 | ISBN | Medium | ||
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| Notes | Document Type: eng | Approved | no | ||
| Call Number | SLN @ rana @ 157 | Serial | 233 | ||
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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 | Rothschild, B.M.; Rothschild, C.; Woods, R.J. | ||||
| Title | Inflammatory arthritis in large cats: An expanded spectrum of spondyloarthropathy | Type | Journal Article | ||
| Year | 1998 | Publication | Journal of Zoo and Wildlife Medicine | Abbreviated Journal | |
| Volume | 29 | Issue | 3 | Pages | 279-284 |
| Keywords | Acinonyx-jubatus; cheetah; Felidae; Felis-concolor; mountain-lion; Felis-pardalis; ocelot; Panthera-leo; African-lion; Panthera-onca; jaguar; Panthera-pardus; leopard; Panthera-tigris; tiger; Panthera-uncia; snow-leopard; snow leopard; Acinonyx; jubatus; felis; concolor; mountain; lion; pardalis; panthera; leo; african; onca; pardus; tigris; uncia; browse; 1240 | ||||
| Abstract | Spondyloarthropathy was documented for the first time in 14 (3.7%) of 386 large cats, affecting eight species belonging to three genera. The limited distribution of joint erosions, associated with spine and sacroiliac joint pathology, was indistinguishable from that occurring in humans with spondyloarthropathy of the reactive type. This form of inflammatory arthritis is almost twice as common as osteoarthritis (for felids as a whole), and animal well-being may be enhanced by its recognition and by initiation of specific treatment. | ||||
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| Notes | Document Type: English | Approved | no | ||
| Call Number | SLN @ rana @ 353 | Serial | 832 | ||
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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 | 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 | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ 144 | Serial | 59 | ||
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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 | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1456 | ||
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