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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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Singh, N. J. (2008). Animal – Habitat relationships in high altitude rangelands. Norway: University of Tromsø.
Abstract: This study conducted in the high altitude rangelands of Indian Transhimalaya, deals with basic questions regarding the ecology of an endangered species, the wildsheep Tibetan argali (Ovis ammon hodgsoni) and applied issues related to its conservation and potential conflict with the local nomadic pastoralists. The basic questions on ecology are aimed at delineating the habitat and resource selection processes, identifying factors causing sexual segregation and efficient surveying and sampling. The applied aspect focuses on the changing face of pastoralism and the potential impacts of modernising livestock husbandry on argali.
Overall, the study provides a general framework towards the understanding of argali-habitat relationships at different spatio-temporal scales. The spatial determinant associated with altitude in the area, predicts argali habitat and resource selection in this relatively homogenous landscape. These determine the range of other topographic variables and forage characteristics selected by argali. The selection of feeding patches in the selected range of altitude and topography is mainly characterised by their greenness and the quality of plant groups. Adjusting to changing forage quality, argali display an opportunistic feeding strategy, selecting grasses in early spring and switching to forbs later in summer. Nevertheless, the habitat selection process did not appear to differ among the sexes to drive sexual segregation. There was, however, strong segregation among the sexes as well as between lactating and non lactating females. The reasons for segregation appeared to be predominantly social, but driven ultimately by predation and concomitantly by resources. The habitat selection information was used to design a stratified random sampling strategy that led to i) a significant reduction in survey effort in sampling these sparsely distributed species and ii) reduction in sampling bias. The applied aspect of the study outlines and evaluates the dramatic changes in the nomadic pastoralism that have occurred in the past five decades in the study area. These have led to a loss of pastures (-25 to -33%) of the nomads, consequent readjustment in traditional patterns of pasture use, intensified grazing pressures (25 to 70%) and rangeland degradation in the area. Such changes may have serious consequences on the survival of local wildlife, as tested with a study of the effects on argali of livestock presence and resource exploitation. Hence, a successful conservation and recovery strategy should focus on: minimising the impacts of livestock on argali, identifying the factors affecting the persistence of the current populations, increasing local sub populations of this species to prevent extinction due to stochastic events, prevent loss of genetic diversity and excessive fragmentation and thus ensuring gene flow. Ecological Niche Factor Analyses (ENFA), bias-reduced logistic regression and Fuzzy correspondence analyses (FCA) were used to answer habitat and resource selection questions. A sexual segregation and aggregation statistic (SSAS) was used to estimate the components of sexual segregation and test segregation. SSAS combined with canonical correspondence analyses (CCA) allowed the estimation of segregation based on habitat variables. Logistic regression models were formulated to estimate models on which the stratified random sampling strategy was based. The 9 Animal – Habitat relationships in high altitude rangelands overall study also included surveys, interviews and literature reviews to understand the nomads’ movement and pasture use patterns of their livestock. Kernel density estimations (KDE) were used to estimate extent of range overlaps between livestock and argali. |
Sharma, K. (2008). The mysterious irbis. Sanctuary Asia, 28(6), 52–57. |
Richardson, N. (2010, 16 Dec 2010). The snow leopard: ghost of the mountains. The telegraph.
Abstract: Snow leopards face the threats of poaching, habitat loss and diminishing prey. In remotest Mongolia, a research team is keeping tabs on this iconic and elusive species.
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Houston Zoological Society. (1979). Houston's summer snow. |
Dhungel, S. K. (1982). A glimpse of Sagarmatha: world's highest national park. Tigerpaper, IX(2), 11–14. |
(1978). Miraki Reservation, Chatkal Reservation.
Abstract: It describes history of the Miraki and Chatkal nature reserves' establishment and provides data concerning area, landscapes, altitude zoning, flora and fauna as well as natural monuments.
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(1978). Rare Animals and their Protection in the USSR.
Abstract: It described categories of threat (Category A and Category B). Snow leopard was assessed under Category A the species whose numbers and habitats have sharply diminished and are continuing to diminish as a consequence of direct persecution, destruction of their habitat or other causes. The snow leopard (Pardus uncia) inhabits the mountains of the Tien Shan range, Tarbagatai, Saur, Altai and the Sayans. Exploitation of mountain areas and depletion of stocks of wild ungulates (Siberian mountain goats and wild sheep) have led to a sharp reduction in the number of snow leopards. It is estimated that today only about one thousand leopards are left, and they have accordingly been placed under complete protection. Hunting and selective shooting are everywhere prohibited. Catching leopards is regulated by the articles of the international convention restricting trade in rare species of plants and animals.
Keywords: Uzbekistan; categories of threat; rare species; snow leopard; distribution; threats.; 8030; Russian
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(1998). Biological diversity conservation. National strategy and action plan of the Republic of Uzbekistan.
Abstract: The National strategy and action plan of the Republic of Uzbekistan was signed on April 1, 1998. Snow leopard was included in the list of rare and endangered animal species and referred to category 2 a rare, not endangered species. It is distributed in highlands of the West Tien Shan and Pamiro-Alay. Its population is 30-50 animals. Snow leopard is protected in the Chatkal, Gissar nature reserve, and Ugam-Chatkal national park.
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(2002). Biological resources.
Abstract: It provides a summary of plant and animal resources in Uzbekistan. Among 15,000 animal species, 664 are vertebrate species including 424 bird, 97 mammal, 83 fish, 59 reptile and three amphibian species. Snow leopard, snow cock, ibex, and other species are typical for highlands.
Keywords: Uzbekistan; biodiversity; vertebrates; snow leopard.; 6290; Russian
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