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Sarkar, P., Takpa, J., Ahmed, R., Tiwari, S. K., Pendharkar, A., ul-Haq, S., Miandad, J., Upadhyay, A., Kaul, R. (2008). Mountain Migrants. Survey of Tibetan Antelope (Pantholops hodgsonii) and Wild Yak (Bos grunniens) in Ladakh, Jammu & Kashmir, India. India.
Abstract: The Tibetan antelope (Pantholops hodgsonii), locally called chiru, is mainly confined to the Tibetan plateau in China. A small population migrates into Chang Thang in eastern Ladakh in the state of Jammu and Kashmir in India. The chiru has a geographical range extending approximately 1,600 km across the Tibetan Plateau, with an eastern limit near Ngoring Hu (Tibet Autonomous Region) and a western limit in Ladakh (India). Large-scale hunting for wool and meat has resulted in a decline of its population and only an estimated 75,000 individuals of this species survive in the world today. Its status in India has not been studied in any detail, although sporadic spot surveys have been done in the past. Similarly, very little information is available on status of wild yak (Bos grunniens), the progenitor (closest ancestor) of the domestic yak in India. The animal is distributed mainly in the highlands of the Tibetan plateau including the Qinghai province, Tibetan and Xinjiang autonomous regions and the Quilian mountains in the Gansu province. Small nomadic isolated populations are reported from Ladakh in Jammu and Kashmir (J&K), and even smaller numbers occasionally from Himachal Pradesh, Uttarakhand, Sikkim and Arunachal Pradesh in India. To obtain further information primarily about these two species, the Department of Wildlife Protection, Jammu & Kashmir (DWP) along with the Wildlife Trust of India (WTI) and the Indian Army initiated surveys in Ladakh in the years 2005 and 2006. Surveys were conducted in the Chang Thang and Karakoram Wildlife Sanctuaries of Ladakh in Jammu & Kashmir. The Chang Chenmo (Chang Thang) area lies in the eastern part of Ladakh just north of the famous Pangong Lake, while the Karakoram WLS lies in the north-eastern part of Ladakh, south of the Karakoram Pass. The team found 250 – 300 chiru in the Karakoram area in addition to other mammal species. Both male and female chiru were sighted here between altitudes of 4735 m and 5336 m. A total of 230 individuals were sighted (after deleting double counts) in the year 2005 and 45 individuals in 2006. Based on this, it is estimated that between 250-300 individuals occur in this area. Mean group size of chiru was 4.66±0.435 and varied between one to 34 individuals during 2005, and 4.5 ± 2.77 (SE) during 2006. Apart from chiru, other species encountered from the area includes Tibetan wolf (Canis lupus chanco), red fox (Vulpes vulpes), pale or mountain weasel (Mustela altaica), snow leopard (Uncia uncia), Ladakh urial (Ovis vignei), blue sheep (Pseudois nayaur), woolly hare (Lepus oiostolus), Ladakh pika (Ochotona ladacensis), Royle's pika (Ochotona roylei), Nubra pika (Ochotona nubrica), plateau pika (Ochotona curzoniae), Stoliczka's mountain vole (Alticola stoliczkanus) and silvery mountain vole (Alticola argentatus).
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WWF Russia & Mongolia. (2010). WWF Altai-Sayan Newsletter. Russia: WWF.
Abstract: WWF Russia and WWF Mongolia share the main achievements of both offices in Altai – Sayan Ecoregion regarding species conservation, protected areas, ecotourism, public awareness,education, eco clubs, fresh water. Several articles reference snow leopards and argali:
WWF Russia Camera Trapping in Argut River Valley Community inspection is established in Republic of Altai to take part in anti – poaching activities in the key territory for argali and snow leopard conservation “Land of Snow Leopard” Ecotourism Project as a tool to protect Irbis and Argali by local communities Snow Leopard and Argali inspired the Masters of Felt Making of Republic of Altai Snow Leopard – a Treasure of Tuva. WWF introduces Tuva journalists to the snow leopard (Tsagaan Shibetu Ridge) WWF and Oxfam –GB joint project works on capacity building of local people in Tuva WWF Mongolia Nature conservation through involving local residents and supporting their initiatives Community groups trans-boundary cooperation Altai-Sayan PA administration staff start to undertake quality research activities at experts level |
Fox, J. L., Sinha, S.P., Chundawat, R.S. (1992). Activity patterns and habitat use of ibex in the Himalaya mountains of India. Journal of Mammology, 73(3), 527–534. |
Dhungel, S. K. (1982). A glimpse of Sagarmatha: world's highest national park. Tigerpaper, IX(2), 11–14. |
Houston Zoological Society. (1979). Houston's summer snow. |
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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Sharma, K. (2008). The mysterious irbis. Sanctuary Asia, 28(6), 52–57. |
Gronberg, E. (2011). Movement patterns of snow leopard (Panthera uncia) around kills based on GPS location clusters. Master's thesis, , .
Abstract: Research concerning movement patterns of wild animals has been advancing since GPS technology arrived. But studying the snow leopard (Panthera uncia) is still difficult because of the harsh territory it inhabits in Central Asia. This study took place in south Gobi, Mongolia, and aimed to estimate the time spent at kills and the maximum distance away from kills between visits. Snow leopards were monitored with GPS collars that took a location every five or seven hours. Potential kill sites were established by identifying clusters of GPS-locations in ArcGIS and visited in the field for confirmation. ArcGIS was used to calculate the distance between cluster and GPS-locations. I used two buffer zones (100 m and 500 m radius) to define the time snow leopards spent at kills. It was found that snow leopard age and prey category affected time spent at kills and also that snow leopard sex together with prey category affected the maximum distance moved away from kills between visits. Season had no significant effect on either time at kills or distance moved away from kills between visits. Snow leopards spent on average 3.2 days at their kills in the 100 m buffer zone and 3.5 days at their kills in the 500 m buffer zone. Subadults stayed longer at kills than adults and animals of both age categories spent longer time on larger prey. The mean maximum distance moved away from kills between visits was 179 m in the 100 m buffer zone and 252 m in the 500 m buffer zone. Female snow leopards moved further away from kills between visits than male snow leopards. Both the number of days spent on kills and maximum distance moved away from kills between visits increased when kills consisted of more than one animal. This study has provided some basic information on snow leopard behaviors around their kills but also highlights the need to monitor more snow leopards before more solid conclusions can be drawn as this study was based on based on a relatively small sample.
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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. |
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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