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Author | Alibekov L.A. | ||||
Title | Fauna | Type | Miscellaneous | ||
Year | 1978 | Publication | Abbreviated Journal | ||
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Issue | Pages | 192-195 | ||
Keywords | Uzbekistan; Jizak region; fauna; landscape; biotic factors; fishes; reptiles; birds; insects; mammals; snow leopard.; 5970; Russian | ||||
Abstract | Represented is fauna of big salt-marsh valleys and pre-Kyzylkum area, a tier of low desert foothill valleys, tiers of lowland ridges, deeply cut hillside midlands, and cold highlands of the watershed ridge-top tier in the Jizak region of Uzbekistan. The highest tier of the Jizak region, a habitat of snow leopard, Menzbier's marmot, Siberian ibex, sometimes wild Tajik sheep coming from the East, bear ascending from lower elevations, and wolf in summer, has the most adverse living conditions. Central Asia argali and stone marten inhabit in central part of the North Nurata ridge. | ||||
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Notes | Full text available in RussianJournal Title: Natural conditions and resources of the Jizak region. | Approved | no | ||
Call Number | SLN @ rana @ 576 | Serial | 60 | ||
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Author | Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. | ||||
Title | Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China | Type | Journal Article | ||
Year | 2023 | Publication | Landscape Ecology | Abbreviated Journal | |
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Keywords | Landscape genetics · MLPE · Gene flow · Genetic distance · Isolation by distance · Isolation by resistance · Landscape resistance · Snow leopard · Principal component analysis | ||||
Abstract | Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance. Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance. Results: Genetically optimized models always out-performed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges. Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning. |
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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1720 | ||
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Author | Hacker, C., Atzeni, L., Munkhtsog, B., Munkhtsog, B., Galsandorj, N., Zhang, Y., Liu, Y., Buyanaa, C., Bayandonoi, G., Ochirjav, M., Farrington, J. D., Jevit, M., Zhang, Y., Wu, L. Cong, W., Li, D., Gavette, C., Jackson, R., Janecka, J. E. | ||||
Title | Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China | Type | Journal Article | ||
Year | 2022 | Publication | Landscape Ecology | Abbreviated Journal | |
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Issue | Pages | 1-19 | ||
Keywords | Admixture · Central Asia · Connectivity · Habitat Modeling · Landscape Genetics · Noninvasive Genetics · MEM · Spatial Structures | ||||
Abstract | Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard (Panthera uncia). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China. | ||||
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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1717 | ||
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Author | Kachel, S., Bayrakcismith, R., Kubanychbekov, Z., Kulenbekov, R., McCarthy, T., Weckworth, B., Wirsing, A. | ||||
Title | Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards | Type | Journal Article | ||
Year | 2022 | Publication | Journal of Animal Ecology | Abbreviated Journal | |
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Issue | Pages | 1-16 | ||
Keywords | landscape of fear, multiple-predator effects, non-consumptive effects, predation-risk effects, predator facilitation, risk allocation, snow leopard, wolf | ||||
Abstract | 1. Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e. multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems. 2. The interaction of predator and prey traits has emerged as a potentially key driver of antipredator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator–multi-prey system. 3. Specifically, we explored how two sympatric ungulates with different escape tactics—vertically agile, scrambling ibex Capra sibirica and sprinting argali Ovis ammon—responded to predation risk from shared predators with contrasting hunting modes—cursorial wolves Canis lupus and vertical-ambushing, stalking snow leopards Panthera uncia. 4. Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulates' exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting antipredator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators—a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking. 5. Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators. |
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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1704 | ||
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Author | Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C., Suryawanshi, K. | ||||
Title | Understanding population baselines: status of mountain ungulate populations in the Central Tien Shan Mountains, Kyrgyzstan | Type | Journal Article | ||
Year | 2020 | Publication | Mammalia | Abbreviated Journal | |
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Issue | Pages | 1-8 | ||
Keywords | conservation; human-use landscapes; hunting concession; mountain ungulates; population baselines; protected areas. | ||||
Abstract | We assessed the density of argali (Ovis ammon) and ibex (Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use landscape which is a partly licenced hunting concession for mountain ungulates and has several livestock herders and their permanent residential structures. Population monitoring of mountain ungulates can help in setting measurable conservation targets such as appropriate trophy hunting quotas and to assess habitat suitability for predators like snow leopards (Panthera uncia). We employed the double-observer method to survey 573 km2 of mountain ungulate habitat inside Sarychat and 407 km2 inside Koiluu. The estimated densities of ibex and argali in Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI 1.01–2.20) individuals km-2, respectively. Total ungulate density in Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record argali in Koiluu, whereas the density of ibex was 0.75 (95% CI 0.50–1.27) individuals km-2. While strictly protected areas can achieve high densities of mountain ungulates, multi-use areas can harbour meaningful though suppressed populations. Conservation of mountain ungulates and their predators can be enhanced by maintaining Sarychat-like “pristine” areas interspersed within a matrix of multi-use areas like Koiluu. |
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Notes | Approved | no | |||
Call Number | Serial | 1610 | |||
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Title | Miraki Reservation, Chatkal Reservation | Type | Miscellaneous | ||
Year | 1978 | Publication | Abbreviated Journal | ||
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Issue | Pages | 9-11 | ||
Keywords | Uzbekistan; Chatkal nature reserve; Miraki nature reserve; landscapes; flora; fauna; natural monuments; snow leopard.; 7670; Russian | ||||
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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Language | Russian | Summary Language | Original Title | ||
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Notes | Full text available in RussianJournal Title: Uzbekistan's Reservations and Natural Monuments. XIV General Assembly of the International Union for Conservation of Nature and Natural Resources. | Approved | no | ||
Call Number | SLN @ rana @ 745 | Serial | 13 | ||
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Author | Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P | ||||
Title | Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal | Type | Journal Article | ||
Year | 2019 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
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Issue | 17 | Pages | 1-8 | |
Keywords | Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale | ||||
Abstract | Although abundance estimates have a strong bearing on the conservation status of a species, less than 2% of the global snow leopard distribution range has been sampled systematically, mostly in small survey areas. In order to estimate snow leopard density across a large landscape, we collected 347 putative snow leopard scats from 246 transects (490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna- Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using maximum likelihood based spatial capture recapture analysis, we developed candidate model sets to test effects of various covariates on density and detection of scats on transects. The best models described the variation in density as a quadratic function of elevation and detection as a linear function of topography. The average density estimate of snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2 (0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts, thus highlighting the heterogeneity in densities as a function of habitat types. Our density estimate was low compared to previous estimates from smaller study areas. Probably, estimates from some of these areas were inflated due to locally high abundances in overlap zones (hotspots) of neighboring individuals, whose territories probably range far beyond study area borders. Our results highlight the need for a large-scale approach in snow leopard monitoring, and we recommend that methodological problems related to spatial scale are taken into account in future snow leopard research. |
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Notes | Approved | no | |||
Call Number | SLN @ rakhee @ | Serial | 1478 | ||
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Author | Johnsingh, A.J.T. | ||||
Title | A roadmap for conservation in Uttaranchal | Type | Report | ||
Year | 2006 | Publication | Abbreviated Journal | ||
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Issue | Pages | 1-13 | ||
Keywords | carnivores, conservation, forest, habitat, hunting, landscape, Panthera uncia, poaching, snow leopard, species, tiger, Uncia uncia, ungulates, Uttar Pradesh, Uttaranchal | ||||
Abstract | 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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Language | English | Summary Language | Original Title | ||
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Notes | Approved | no | |||
Call Number | SLN @ rana @ | Serial | 1121 | ||
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Author | Rashek V.A. | ||||
Title | The Chatkal State nature reserve. Aksu Jabagly nature reserve | Type | Miscellaneous | ||
Year | 1980 | Publication | Abbreviated Journal | ||
Volume ![]() |
Issue | Pages | 157-161 | ||
Keywords | Uzbekistan; Kazakhstan; Chatkal nature reserve; Aksu Jabagly nature reserve; landscape; flora; fauna; birds; mammals; rare species; snow leopard.; 8040; Russian | ||||
Abstract | It describes history of the Chatkal and Aksu Jabagly nature reserves' establishment and provides data concerning hydrography, soils, climate, landscapes, altitude zoning, flora and fauna, and main aspects of scientific work. | ||||
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Notes | Full text available in RussianJournal Title: Nature reserves of the USSR. | Approved | no | ||
Call Number | SLN @ rana @ 782 | Serial | 806 | ||
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Author | Proskuryakov M.A. | ||||
Title | Almaty nature reserve | Type | Miscellaneous | ||
Year | 1969 | Publication | Abbreviated Journal | ||
Volume ![]() |
Issue | Pages | 459-464 | ||
Keywords | Kazakhstan; Almaty nature reserve; landscape; flora; fauna; birds; mammals; snow leopard.; 8010; Russian | ||||
Abstract | A description of the Almaty nature reserve is given and includes as follows: data of establishment, location, physic and geographic description, types of soils, climate, flora and fauna. In the nature reserve there are 39 mammals and 117 birds. Snow leopard, wild ibex, brown bear, lynx, wild boar, red deer, wolf, fox etc. inhabited in the nature reserve. | ||||
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Notes | Full text available in RussianJournal Title: Nature reserves of USSR. | Approved | no | ||
Call Number | SLN @ rana @ 779 | Serial | 796 | ||
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