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Johnsingh, A.J.T. |
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Title  |
A roadmap for conservation in Uttaranchal |
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2006 |
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1-13 |
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carnivores, conservation, forest, habitat, hunting, landscape, Panthera uncia, poaching, snow leopard, species, tiger, Uncia uncia, ungulates, Uttar Pradesh, Uttaranchal |
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The enchanting state of Uttaranchal, carved out of Uttar Pradesh on 9th November 2000, has a total area of ca. 53,485 km2 with a population density of 160 persons/ km2, much lower than the national average of 324/km2. This young state can take pride in the fact that 13.42% of its area is under protected areas. The state has varied landscapes: snow-capped and conifer forest covered mountains in the north, forest covered foothills with numerous perennial rivers and streams, locally known as the bhabar tract which includes the Himalayan foothills and the Shivalik range. As a result, the land is home to a variety of fascinating wildlife such as the golden mahseer (Tor putitora), king cobra (Ophiophagus hanna), Himalayan monal (Lophophorus impejanus), great hornbill (Buceros bicornis), Himalayan tahr (Hemitragus jemlahicus), bharal (Pseudois nayaur), Himalayan musk deer (Moschus chrysogaster), goral (Nemorhaedus goral), elephant (Elephas maximus), snow leopard (Panthera uncia), leopard (P. pardus), black bear (Ursus thibetanus), and tiger (P. tigris). All across their range, most of these species are endangered. The potential of this state, with about 800 kilometers of riverine habitat, can only be surpassed by Arunachal Pradesh in terms of golden mahseer conservation. The mountains, bedecked with the scarlet flowers of rhododendron (Rhododendron arboreum) in the summer months, can be a veritable home to many forms of pheasants, mountain ungulates and carnivores, provided poaching for trade is eliminated and hunting for the pot is brought under control. The bhabar forests of this state, ca. 7,500 km2, extending between Yamuna and Sharda rivers (Fig. 1.), can easily support a population of about 1000 elephants and 200 tigers as long as this large habitat, now fragmented in three blocks, is managed and protected as one continuous habitat for wildlife. Six villages, gujjar settlements and encroachments need to be moved away from the main wildlife habitat which goes along the bhabar tract. Although the conservation of these habitats can eventually bring in immense benefits through well-planned ecotourism programmes that are rapidly catching up in the state, initial conservation efforts would need a substantial amount of funds. |
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1121 |
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Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Camera-Trapping of Snow Leopards |
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2005 |
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Cat News |
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42 |
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Spring |
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19-21 |
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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 |
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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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SLN @ rana @ 1017 |
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475 |
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Sivolobov, R. |
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Title |
ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR |
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2017 |
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225-233 |
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endangered species, Beringian snow cat, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, camera-trap, Koryakia, Chukotka |
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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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SLN @ rakhee @ |
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1456 |
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Sokov A.I. |
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Title |
Environmental prerequisites for protection and sustainable use of predatory mammals in Tajikistan |
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Miscellaneous |
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1986 |
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Vol. 3. |
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27-29 |
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Tajikistan; Red Data book; rare species; carnivores; large predators; brown bear; hyena; tiger; leopard; Lynx; snow leopard; decline; protection; sustainable use.; 8220; Russian |
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In Tajikistan it is necessary to preserve big predators listed in the Red Book, such as Uncia uncia, Ursus arctos isabellinus, Hyaena hyaena, Felis lynx isabellina, Panthera pardus ciscaucasica. An anthropogenic influence has resulted in the species' habitat shrinkage, deficit of food, disturbance of trophic interactions. It is necessary to restore a tiger population in the Tigrovaya Balka nature reserve, and resolve the issue of protection and sustainable use of commercial predatory species. |
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Full text available in RussianJournal Title: Proceedings of IV Congress of all-Union mammalists' society. |
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SLN @ rana @ 800 |
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913 |
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De Groot, H.; Van Swieten, P.; Aalberse, R.C. |
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Evidence for a Fel d I-like molecule in the “big cats” (Felidae species) |
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1990 |
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J Allergy Clin Immunol |
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86 |
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1 |
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107-116 |
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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 |
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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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0091-6749 |
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Document Type: eng |
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SLN @ rana @ 157 |
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233 |
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Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K.,Ekaterina, P. |
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HELMINTHS OF RARE FELINE SPECIES (FELIDAE) IN SIBERIA AND THE RUSSIAN FAR EAST |
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2017 |
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International Journal of Research In |
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70-74 |
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Helminths, Amur tiger, Amur leopard, Pallas's cat, Snow leopard. |
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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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1481 |
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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. |
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Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies |
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2023 |
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Global Ecology & Conservation |
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41 |
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e02350 |
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1-13 |
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Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter |
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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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1715 |
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Sangay, T.; Vernes, K. |
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Human-wildlife conflict in the Kingdom of Bhutan: Patterns of livestock predation by large mammalian carnivores |
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Miscellaneous |
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2008 |
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Biological Conservation |
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141 |
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1272-1282 |
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bear; Bhutan; compensation; conflict; Himalayas; leopard; livestock; predation; snow leopard; tiger |
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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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842 |
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Rothschild, B.M.; Rothschild, C.; Woods, R.J. |
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Inflammatory arthritis in large cats: An expanded spectrum of spondyloarthropathy |
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1998 |
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Journal of Zoo and Wildlife Medicine |
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29 |
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3 |
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279-284 |
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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 |
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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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Document Type: English |
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SLN @ rana @ 353 |
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832 |
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Sludskiy A.A. |
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Mammals |
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1982 |
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55-79 |
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Ussr; extinct species; endangered species; Cats; tiger; leopard; snow leopard; caracal; Lynx; manul.; 8180; Russian |
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The author describes the lot of extinct and endangered mammal species inhabitants of various continents. Over the last 2,000 years, on the territory now occupied by the USSR, 11 species and sub-species of mammals died away and several dozens of species and sub-species are now endangered or rare and require special conservation measures. Big Felidae species include tiger (150 170 animals), leopard (38-48 animals, of which 20-25 permanently live in the Far East, the rest migrating), snow leopard, whose population reduced drastically (about 1,000 animals), caracal, Central Asia lynx, and manul. |
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Full text available in RussianJournal Title: To preserve for descendants. |
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SLN @ rana @ 796 |
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899 |
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