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Maheshwari, A., Sharma, D., Sathyakumar, S. |
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Title |
Snow Leopard (Panthera Uncia) surveys in the Western Himalayas, India |
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Journal Article |
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2013 |
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Journal of Ecology and Natural Environmnet |
Abbreviated Journal |
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5 |
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10 |
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303-309 |
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Conflict, Himalayas, livestock depredation, prey, snow leopard, habitat, Uttarakhand. |
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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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SLN @ rakhee @ |
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1401 |
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Li, J., McCarthy, T. M., Wang, H., Weckworth, B. V., Shaller, G. B., Mishra, C., Lu, Z., Beissinger, S. R |
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Climate refugia of snow leopards in High Asia |
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Journal Article |
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2016 |
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Biological Conservation |
Abbreviated Journal |
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203 |
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188-196 |
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Snow leopard, Habitat, Climate change, Refugia, High Asia, Conservation |
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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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1449 |
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. |
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Title |
POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL |
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Journal Article |
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2019 |
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98 |
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3 |
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332-342 |
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Snow leopard, irbis, Panthera uncia, Maxent, habitat model, potential habitat |
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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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1480 |
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Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. |
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Title |
Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base |
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Journal Article |
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Year |
2018 |
Publication |
Biology Bulletin |
Abbreviated Journal |
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45 |
Issue |
9 |
Pages |
1106-1115 |
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Panthera uncia, Bol� shoi Sayan, Munku-Sardyk, Tunkinskie Gol� tsy, distribution area, molecular genetic analysis, modeling of potential habitats |
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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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1482 |
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Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N., Bohnett, E., Yang, F., Khan, I., Ahmad, B. |
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Modelling Potential Distribution of Snow Leopards in Pamir, Northern Pakistan: Implications for Human–Snow Leopard Conflicts |
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Journal Article |
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2021 |
Publication |
Sustainability |
Abbreviated Journal |
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13 |
Issue |
13229 |
Pages |
1-15 |
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habitat fragmentation; habitat suitability; land use/cover change; Panthera uncia; MaxEnt model |
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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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1664 |
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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. |
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Title |
Horizon Scan of Transboundary Concerns Impacting Snow Leopard Landscapes in Asia |
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Journal Article |
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Year |
2022 |
Publication |
MDPI |
Abbreviated Journal |
Land |
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11 |
Issue |
248 |
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1-22 |
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collaboration; habitat; innovative solutions; integrated landscape approach; socio- ecological system; trade corridor; tourism |
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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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1671 |
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Li,J., Xue, Y., Hacker, C. E., Zhang, Y., Li, Y., Cong, W., Jin, L., Li, G., Wu, B., Li, D., Zhang,Y. |
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Projected impacts of climate change on snow leopard habitat in Qinghai Province, China |
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Journal Article |
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2021 |
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Ecology and Evolution |
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11 |
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17202-17218 |
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adaptive strategies, habitat corridors, National park, suitable habitat, vulnerability |
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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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1685 |
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Li, Y., Zhang, Y., Yadong, X., Zhang, Y., Zhang, Y., Gao, Y. Li, D. |
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Title |
Analysis of Conservation Gaps and Landscape Connectivity for Snow Leopard in Qilian Mountains of China |
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Journal Article |
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2022 |
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Sustainability |
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1-13 |
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14 |
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1638 |
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national park; protection gap; landscape connectivity; habitat suitability |
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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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1686 |
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Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. |
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Title |
How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas |
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Journal Article |
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2022 |
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Journal of Resources and Ecology |
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13 |
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3 |
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483-500 |
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habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia |
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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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1688 |
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Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. |
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How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas |
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2022 |
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Journal of Resources and Ecology |
Abbreviated Journal |
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13 |
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3 |
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483-500 |
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habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia |
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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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