Sivolobov, R. (2017). ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR.225–233.
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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Kashkarov, E. (2017). ZOOGEOGRAPHICAL DISCOVERIES IN WESTERN BERINGIA.208–217.
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.
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Unlike it, this bear lived up to our days, but remained undetected even by the large “mammoths” of
science.
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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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Karanth, K. U., Nichols, J.D., Seidensticker, J., Dinerstein, E., David Smith, J.L., McDougal, C., Johnsingh, A.J.T., Chundawat, R.S., Thapar, V. (2003). Science deficiency in conservation practice: the monitoring of tiger populations in India. Animal Conservation, 6, 141–146.
Abstract: Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.
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Ali, S. M. (1990). The Cats of India. Myforest, 26(3), 275–291.
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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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. (2024). Reflecting on the role of human-felid conflict and local use in big cat trade. Conservation Science and Practice, 6(e13030), 1–7.
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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Sokov A.I. (1986). Environmental prerequisites for protection and sustainable use of predatory mammals in Tajikistan (Vol. Vol. 3.).
Abstract: 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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De Groot, H., Van Swieten, P., & Aalberse, R. C. (1990). Evidence for a Fel d I-like molecule in the “big cats” (Felidae species). J Allergy Clin Immunol, 86(1), 107–116.
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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Darehshuri, B. F. (1978). Threatened cats of Asia. Wildlife, 20(9), 396–400.
Abstract: Man's hand is turned against the wild cats wherever they occur, often due to the value of their fur, but also because of the danger they sometimes pose to domestic stock and even human beings. All the larger Asian cats are threatened, and on this and the following pages we look at three of them – the Asiatic cheetah, the Siberian tiger, and the snow leopard.
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Formozov A.N. (1952). Tiger and snow leopard.
Abstract: Over the last decades tiger, leopard and snow leopard were fully exterminated in many areas, where they formerly were common species and now became very rare ones. Few leopards can still be found in Caucasus, Copet-Dag (Turkmenistan) and south of Primorskiy krai. Irbis is remaining a common species only in the difficult-of-access highland areas of Tien Shan and very rare in the Altai. Tiger traces are sometimes found in the Amudarya river valley and in the taiga Sihote-Alinya in the Far East.
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