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Author |
Kashkarov, E. |
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Title |
ZOOGEOGRAPHICAL DISCOVERIES IN WESTERN BERINGIA |
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Journal Article |
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2017 |
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208-217 |
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zoogeographical discoveries, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, global warming, hundred-year rhythm, Beringia, Koryakia, Chukotka. |
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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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SLN @ rakhee @ |
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1455 |
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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. |
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Title |
Science deficiency in conservation practice: the monitoring of tiger populations in India |
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Journal Article |
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Year |
2003 |
Publication |
Animal Conservation |
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6 |
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141-146 |
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population monitoring, sampling, tiger, pugmark, census, pugmark census |
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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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The Zoological Society of London |
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United Kingdom |
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English |
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SLN @ rana @ |
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1307 |
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Hongfa, X. and Kirkpatrick, C. |
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The State of Wildlife Trade in China. Information on the trade in wild animals and plants in China 2006. |
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Report |
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2006 |
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3-20 |
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Keywords |
clouded leopard, economy, illegal killing, leopard, Neofelis nebulosa, Panthera pardus, Panthera tigris, poaching, policy, snow leopard, tiger, trade, TRAFFIC, Uncia uncia |
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Welcome to the first edition of The State of Wildlife Trade in China. This publication takes a broad look at wildlife trade over the past year, particularly concerning the impact of China's consumption on globally important biodiversity 'hotspots'. The focus of The State of Wildlife Trade in China is on emerging trends in China's wildlife trade and up-to-date reviews of work to stop illegal wildlife trade and support sustainable trade. The lead story in this issue is the illegal trade in Tigers and other Asian big cats. During 2006, surveys continued to document this illegal trade, as well as highlight opportunities for action. Other stories in this issue give updates on trade in reef fishes from Southeast Asia's 'Coral Triangle' and in timber from the forests of the Russian Far East, Borneo, and East Africa. China's wildlife trade presents both challenges and opportunities. This annual report aims to provide current information about wildlife trade in China and to provide avenues for involvement in China's conservation community. It is part of TRAFFIC's on-going commitment to turn information into action. |
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TRAFFIC |
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SLN @ rana @ |
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1127 |
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Author |
Johnsingh, A.J.T. |
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Title |
A roadmap for conservation in Uttaranchal |
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Report |
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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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SLN @ rana @ |
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1121 |
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Author |
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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Author |
Formozov A.N. |
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Title |
Tiger. Leopard. Snow Leopard |
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Miscellaneous |
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1989 |
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38-40 |
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Ussr; big cats; tiger; leopard; snow leopard.; 6730; Russian |
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The number of large cats is reducing. These animals are hold out in the most difficult of access places. During long time snow leopard was a poorly known animal. The situation was changed with developing of mountain tourism and mountaineering. It's necessary to reduce the capturing snow leopards for zoological gardens. |
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Full text available in RussianJournal Title: Pathfinder's companion. |
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SLN @ rana @ 651 |
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282 |
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Formozov A.N. |
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Tiger and snow leopard |
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Miscellaneous |
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1952 |
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169 171 |
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Ussr; big cats; tiger; leopard; snow leopard.; 6710; Russian |
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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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Full text available in RussianJournal Title: Pathfinder's companion. |
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SLN @ rana @ 649 |
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281 |
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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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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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SLN @ rana @ 903 |
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842 |
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Riordan, P. |
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Unsupervised recognition of individual tigers and snow leopards from their footprints |
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Miscellaneous |
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1998 |
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Animal Conservation |
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1 |
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253-262 |
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captive; panthera tigris; panthera uncia; snow leopard; techniques; tiger |
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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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SLN @ rana @ 896 |
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823 |
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