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Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H. |
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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 |
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2023 |
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Geo: Geography and Environment |
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10 |
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e00121 |
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1-15 |
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bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region |
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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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SLN @ rakhee @ |
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1719 |
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Jackson, R.; Ahlborn, G. |
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The role of protected areas in Nepal in maintaining viable populations of snow leopards |
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1990 |
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Int.Ped.Book of Snow Leopards |
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6 |
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51-69 |
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Nepal; conservation; management; parks; park; reserve; refuge; protected-area; browse; protected area; protected; area; island-biology-theory; population-limits; habitat; suitability; 3040 |
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SLN @ rana @ 165 |
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444 |
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Jackson, R.; Ahlborn, G. |
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A preliminary habitat suitability model for the snow leopard, Panthera uncia, in West Nepal |
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1984 |
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International Pedigree Book of Snow Leopards |
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4 |
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43-52 |
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Nepal; Himalaya; habitat; browse; modeling; predator; prey; diet; reproduction; interspersion; cover; herders; livestock; habitat-suitability-model; Human; 2650 |
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SLN @ rana @ 404 |
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434 |
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Li, Y., Zhang, Y., Yadong, X., Zhang, Y., Zhang, Y., Gao, Y. Li, D. |
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Analysis of Conservation Gaps and Landscape Connectivity for Snow Leopard in Qilian Mountains of China |
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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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SLN @ rakhee @ |
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1686 |
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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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2021 |
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Sustainability |
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13 |
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13229 |
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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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