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| Author | Singh, N.J. | ||||
| Title | Animal – Habitat relationships in high altitude rangelands | Type | Manuscript | ||
| Year | 2008 | Publication | PhD Thesis | Abbreviated Journal | |
| Volume | Issue | Pages | 150 | ||
| Keywords | high altitude, homogeneous, argali, habitat selection, resource selection function, ENFA, stratified random sampling, sexual segregation, SSAS, livestock, predation, resources | ||||
| 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. |
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| Publisher | University of Tromsø | Place of Publication | Norway | Editor | |
| Language | English | Summary Language | Original Title | ||
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| Notes | PhD Thesis | Approved | no | ||
| Call Number | SLN @ rana @ | Serial | 1306 | ||
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| Author | Devendra, T. & Chalise, M. | ||||
| Title | Population and habitat of Himalayan thar (Hemitragus jemlahicus) in Langtang Himalaya, Langtang National Park (LNP), Nepal | Type | Journal Article | ||
| Year | 2010 | Publication | Special issue on the occasion of 15th Wildlife Week | Abbreviated Journal | |
| Volume | Issue | 2067 | Pages | 37-46 | |
| Keywords | Himalayan Thar, census, habitat characters, use | ||||
| Abstract | A survey of Himalayan Thar was carried out in Langtang valley in response to the lacking of scientific information of its population status and distribution in the area. The study was carried out from Ghodatabela to Langsisa Kharka during April to June of 2003/04/2005. The area was divided into 5 survey blocks measuring 5sqkm each and study was conducted through blocks. Observed herds and individual animals were repeatedly counted and recorded. A total of 218 individuals of different age and sex Himalayan Thar were recorded during the study in 8 different herds. Three types of herds were recognized; Adult male-adult female-young (37.5%), Adult female-young (37.5%) and All adult-male (25%). Survey revealed that 50% of Thar herds were observed in 4200-4900m (Fourth block) and least (12%) were in 3700-4000m (First block), animals were not located in 3850-4200m (Third, Fifth block). Stratified random sampling was done to analyze the vegetation in their habitat and identified 26 potential plant species. The encroachment of their habitat is severe by the excessive livestock grazing and utilization for cowshed. Noticeable disturbance felt due to frequent poaching and tourist flow. The conservation of this species seems vital as it is prime prey species of Snow leopard in LNP. | ||||
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| Corporate Author | Dept. of National Parks & Wildlife Cons. /Govt. of Nepal | Thesis | |||
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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1318 | ||
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| Author | Jackson. R | ||||
| Title | Fostering Community-Based Stewardship of Wildlife in Central Asia: Transforming Snow Leopards from Pests into Valued Assets | Type | Book Chapter | ||
| Year | 2012 | Publication | Springer Science and Business Media | Abbreviated Journal | |
| Volume | Issue | Pages | 357-380 | ||
| Keywords | Gurvan Saikhan National Park,Annapurna National Park,Nepal,Pakistan,India,Mongolia,China,Tibet,Mining,Poaching,PRA,Holistic,Community engagement,Fuel,Habitat fragmentation | ||||
| Abstract | Book Title: Rangeland Stewardship in Central Asia: Balancing Improved Livelihoods, Biodiversity Conservation and Land Protection, 2012. Edited by Victor Squires. Published Springer Science+Business Media. 458 p. 91 illus., 61 in color. Addressing human–wildlife conflict is an important requisite to managing rangelands for livestock and wildlife. Despite high altitudes, aridity, and relatively low primary productivity, the rangelands of Central Asia support a rich and diverse biodiversity—including the endangered snow leopard that many herders perceive as a predator to be eliminated. Conserving this and other wildlife species requires carefully crafted interventions aimed at curbing depredation losses and/or reducing competition for forage, along with offering locally sustainable, environmentally friendly income-generating activities for supplementing pastoral household livelihoods. This is best achieved through a combination of incentives designed to foster sound rangeland and wildlife stewardship, along penalties or disincentives targeting herders who violate mutually agreed rules and regulations (including grazing norms and wildlife disturbance or poaching). When working toward the harmonious coexistence of people and wildlife, conservationists and rangeland practitioners need to seek the cooperation and build goodwill among herders and other stakeholders, including local government and private industry (especially the livestock production, mining, and tourism sectors). |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1393 | ||
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| Author | Maheshwari, A., Sharma, D., Sathyakumar, S. | ||||
| Title | Snow Leopard (Panthera Uncia) surveys in the Western Himalayas, India | Type | Journal Article | ||
| Year | 2013 | Publication | Journal of Ecology and Natural Environmnet | Abbreviated Journal | |
| Volume | 5 | Issue | 10 | Pages | 303-309 |
| Keywords | Conflict, Himalayas, livestock depredation, prey, snow leopard, habitat, Uttarakhand. | ||||
| Abstract | We conducted surveys above 3000 m elevation in eight protected areas of Uttarakhand and Himachal Pradesh. These surveys provide new information on snow leopard in Uttarakhand on the basis of indirect evidence such as pugmark and scat. Snow leopard evidence (n = 13) were found between 3190 and 4115 m elevation. On an average, scats (n = 09) of snow leopard were found for every 56 km walked and pugmarks (n = 04) for every 126 km walked. Altogether, about 39% of the evidence were found on the hill-slope followed by valley floor (30%), cliff (15%) and 8% from both stream bed and scree slope. Genetic analysis of the scats identified three different individuals by using snow leopard specific primers. Snow leopard-human conflicts were assessed through questionnaire based interviews of shepherds from Govind Pashu Vihar Wildlife Sanctuary, Askot Wildlife Sanctuary and Nanda Devi Biosphere Reserve areas of Uttarakhand. Surveys revealed that livestock depredation (mule, goat and sheep) is the only cause of snow leopard-human conflicts and contributed 36% of the diet of snow leopard. Blue sheep and rodents together comprised 36.4% of the total diet. We found that 68.1% of the surveyed area was used for pastoral activities in Uttarakhand and Himachal Pradesh and 12.3% area was under tourism, defence and developmental activities. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1401 | ||
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| Author | Li, J., McCarthy, T. M., Wang, H., Weckworth, B. V., Shaller, G. B., Mishra, C., Lu, Z., Beissinger, S. R | ||||
| Title | Climate refugia of snow leopards in High Asia | Type | Journal Article | ||
| Year | 2016 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | Issue | 203 | Pages | 188-196 | |
| Keywords | Snow leopard, Habitat, Climate change, Refugia, High Asia, Conservation | ||||
| Abstract | Rapidwarming in High Asia is threatening its unique ecosystemand endemic species, especially the endangered snow leopard (Panthera uncia). Snow leopards inhabit the alpine zone between snow line and tree line, which contracts and expands greatly during glacier-interglacial cycles. Here we assess impacts of climate change on global snow leopard habitat from the last glacial maximum (LGM; 21 kyr ago) to the late 21st century. Based on occurrence records of snow leopards collected across all snow leopard range countries from 1983 to 2015, we built a snow leopard habitat model using the maximum entropy algorithm (MaxEnt 3.3.3k). Then we projected this model into LGM, mid-Holocene and 2070. Analysis of snow leopard habitat map from LGM to 2070 indicates that three large patches of stable habitat have persisted from the LGM to present in the Altai, Qilian, and Tian Shan-Pamir-Hindu Kush-Karakoram mountain ranges, and are projected to persist through the late 21st century. These climatically suitable areas account for about 35% of the snow leopard's current extent, are large enough to support viable populations, and should function as refugia for snow leopards to survive through both cold and warm periods. Existence of these refugia is largely due to the unique mountain environment in High Asia, which maintains a relatively constant arid or semi-arid climate. However, habitat loss leading to fragmentation in the Himalaya and Hengduan Mountains, as well as increasing human activities, will present conservation challenges for snow leopards and other sympatric species. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1449 | ||
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| Author | Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. | ||||
| Title | POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL | Type | Journal Article | ||
| Year | 2019 | Publication | Abbreviated Journal | ||
| Volume | 98 | Issue | 3 | Pages | 332-342 |
| Keywords | Snow leopard, irbis, Panthera uncia, Maxent, habitat model, potential habitat | ||||
| Abstract | The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed across vast territories and adequate modern methods are required for mapping its potential habitats. The goal of the present study is to create a model of snow leopard potential habitat within the northern part of its range in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations (total number of presence points = 449), environmental variables and the maximum entropy distribution method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2 with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection status. The results of modeling are of importance both for scientists and conservation managers, as they allow for leopard occurrence to be predicted, supporting research on and the conservation of the species. |
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| Call Number | SLN @ rakhee @ | Serial | 1480 | ||
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| Author | Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. | ||||
| Title | Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base | Type | Journal Article | ||
| Year | 2018 | Publication | Biology Bulletin | Abbreviated Journal | |
| Volume | 45 | Issue | 9 | Pages | 1106-1115 |
| Keywords | Panthera uncia, Bol� shoi Sayan, Munku-Sardyk, Tunkinskie Gol� tsy, distribution area, molecular genetic analysis, modeling of potential habitats | ||||
| Abstract | A field survey of snow leopard (Panthera uncia) habitats was carried out in the southeastern part of the Eastern Sayan Mountains (Okinskii and Tunkinskii districts of the Republic of Buryatia and the Kaa- Khemskii district of Tuva Republic). Seven or eight adult snow leopards were observed as constant inhabitants of the Tunkinskie Gol'tsy, Munku-Sardyk, and Bol'shoi Sayan mountain ridges. The presence of eight snow leopards was confirmed using DNA-based analyses of scats collected in 2014 – 2016. The main prey species of the snow leopard in Eastern Sayan is the Siberian ibex (Capra sibirica), but its abundance has steadily decreased over the past 20 years. The red deer (Cervus elaphus) and the wild boar (Sus scrofa), which were some of the most numerous ungulates in the survey area, are replacing the Siberian ibex in the snow leopard's diet. In addition, the mountain hare (Lepus timidus) is also of importance to the snow leopard's diet. |
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| Call Number | SLN @ rakhee @ | Serial | 1482 | ||
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| Author | Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N., Bohnett, E., Yang, F., Khan, I., Ahmad, B. | ||||
| Title | Modelling Potential Distribution of Snow Leopards in Pamir, Northern Pakistan: Implications for Human–Snow Leopard Conflicts | Type | Journal Article | ||
| Year | 2021 | Publication | Sustainability | Abbreviated Journal | |
| Volume | 13 | Issue | 13229 | Pages | 1-15 |
| Keywords | habitat fragmentation; habitat suitability; land use/cover change; Panthera uncia; MaxEnt model | ||||
| Abstract | The snow leopard (Panthera uncia) is a cryptic and rare big cat inhabiting Asia’s remote and harsh elevated areas. Its population has decreased across the globe for various reasons, includ | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1664 | ||
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| Author | Sultan, H., Rashid, W., Shi, J., Rahim, I. U., Nafees, M., Bohnett, E., Rashid, S., Khan, M. T., Shah, I. A., Han, H., Ariza-Montes, A. | ||||
| Title | Horizon Scan of Transboundary Concerns Impacting Snow Leopard Landscapes in Asia | Type | Journal Article | ||
| Year | 2022 | Publication | MDPI | Abbreviated Journal | Land |
| Volume | 11 | Issue | 248 | Pages | 1-22 |
| Keywords | collaboration; habitat; innovative solutions; integrated landscape approach; socio- ecological system; trade corridor; tourism | ||||
| Abstract | The high-altitude region of Asia is prone to natural resource degradation caused by a variety of natural and anthropogenic factors that also threaten the habitat of critical top predator species, the snow leopard (Panthera uncia). The snow leopard’s landscape encompasses parts of the twelve Asian countries and is dominated by pastoral societies within arid mountainous terrain. However, no investigation has assessed the vulnerability and pathways towards long-term sustainability on the global snow leopard landscape scale. Thus, the current study reviewed 123 peer-reviewed scientific publications on the existing knowledge, identified gaps, and proposed sustainable mitigation options for the longer term and on larger landscape levels in the range countries. The natural resource degradation in this region is caused by various social, economic, and ecological threats that negatively affect its biodiversity. The factors that make the snow leopard landscapes vulnerable include habitat fragmentation through border fencing, trade corridor infrastructure, non-uniform conservation policies, human–snow leopard conflict, the increasing human population, climatic change, land use and cover changes, and unsustainable tourism. Thus, conservation of the integrated Socio-Ecological System (SES) prevailing in this region requires a multi-pronged approach. This paper proposes solutions and identifies the pathways through which to implement these solutions. The prerequisite to implementing such solutions is the adoption of cross-border collaboration (regional cooperation), the creation of peace parks, readiness to integrate transnational and cross-sectoral conservation policies, a focus on improving livestock management practices, a preparedness to control human population growth, a readiness to mitigate climate change, initiating transboundary landscape-level habitat conservation, adopting environment-friendly trade corridors, and promoting sustainable tourism. Sustainable development in this region encompasses the political, social, economic, and ecological landscapes across the borders. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1671 | ||
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| Author | Li,J., Xue, Y., Hacker, C. E., Zhang, Y., Li, Y., Cong, W., Jin, L., Li, G., Wu, B., Li, D., Zhang,Y. | ||||
| Title | Projected impacts of climate change on snow leopard habitat in Qinghai Province, China | Type | Journal Article | ||
| Year | 2021 | Publication | Ecology and Evolution | Abbreviated Journal | |
| Volume | Issue | 11 | Pages | 17202-17218 | |
| Keywords | adaptive strategies, habitat corridors, National park, suitable habitat, vulnerability | ||||
| Abstract | Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate-related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km2 under current conditions and 228,997 km2 under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km2 and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1685 | ||
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| Author | Li, Y., Zhang, Y., Yadong, X., Zhang, Y., Zhang, Y., Gao, Y. Li, D. | ||||
| Title | Analysis of Conservation Gaps and Landscape Connectivity for Snow Leopard in Qilian Mountains of China | Type | Journal Article | ||
| Year | 2022 | Publication | Sustainability | Abbreviated Journal | 1-13 |
| Volume | 14 | Issue | 1638 | Pages | |
| Keywords | national park; protection gap; landscape connectivity; habitat suitability | ||||
| Abstract | Human modification and habitat fragmentation have a substantial influence on large carnivores, which need extensive, contiguous habitats to survive in a landscape. The establishment of protected areas is an effective way to offer protection for carnivore populations by buffering them from anthropogenic impacts. In this study, we used MaxEnt to model habitat suitability and to identify conservation gaps for snow leopard (Panthera uncia) in the Qilian Mountains of China, and then assessed the impact of highways/railways and their corridors on habitat connectivity using a graph-based landscape connectivity model. Our results indicated that the study area had 51,137 km2 of potentially suitable habitat for snow leopards and that there were four protection gaps outside of Qilian Mountain National Park. The findings revealed that the investigated highway and railway resulted in a decrease in connectivity at a regional scale, and that corridor development might enhance regional connectivity, which strengthens the capacity of central habitat patches to act as stepping stones and improve connections between western and eastern habitat patches. This study emphasized the need for assessing the impact of highways and railways, as well as their role in corridor development, on species’ connectivity. Based on our results, we provide some detailed recommendations for designing protection action plans for effectively protecting snow leopard habitat and increasing habitat connectivity. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1686 | ||
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| Author | Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. | ||||
| Title | How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Resources and Ecology | Abbreviated Journal | |
| Volume | 13 | Issue | 3 | Pages | 483-500 |
| Keywords | habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia | ||||
| Abstract | The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1688 | ||
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| Author | Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. | ||||
| Title | How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Resources and Ecology | Abbreviated Journal | |
| Volume | 13 | Issue | 3 | Pages | 483-500 |
| Keywords | habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia | ||||
| Abstract | The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1698 | ||
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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 | |
| Volume | 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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| Call Number | SLN @ rakhee @ | Serial | 1717 | ||
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| Author | Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H. | ||||
| Title | Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region | Type | Journal Article | ||
| Year | 2023 | Publication | Geo: Geography and Environment | Abbreviated Journal | |
| Volume | 10 | Issue | e00121 | Pages | 1-15 |
| Keywords | bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region | ||||
| Abstract | The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1719 | ||
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