Category: Journal Article

Please find details below of a new article added to our Bibliography:

Title: Lessons for Transboundary Snow Leopard Conservation: Findings From a GPS Telemetry Study in Kangchenjunga Conservation Area, Nepal

Author: Subba, S. A., Acharya, H. R., Shrestha, S., Koirala, S., Shrestha, R., Thapa, G. J., Thapa, K., Shrestha, A., Malla, S., Bhattarai, G. P., Poudyal, L. P., Khadka, M. B., Gurung, G. S., Bhatta, S. R., Dhakal, M., Subedi, N., Pradhan, N. M. B., Bhandari, A. R., Jnawali, S. R., Limbu, K. P., Dhakal, B. K., Thapa, K.

Abstract: Ensuring the long‐term persistence of snow leopards (Panthera uncia) in changing landscapes requires a deep understanding of their spatial ecology and movement behavior. To maintain viable metapopulations and ensure gene flow between populations, there is an urgent need to develop sound and effective conservation plans. This study presents findings from Nepal’s first GPS telemetry study of snow leopards, shedding light on their home range size, habitat selection, and transboundary movements. GPS data were collected from four snow leopard individuals in the Kangchenjunga Conservation Area, eastern Nepal, over tracking periods ranging from 20 to 659 days, yielding a total of 4707 location points. We used three home range estimators
for analysis: local convex hulls (LoCoH), fixed kernels (Kernel), and minimum convex polygons (MCP). Our results show that home range sizes were 6 to 97 times larger than previous estimates for Nepal, with LoCoH estimates of 310 and 102 km2 (MCP = 730 and 211 km2) for two adult females and 312 km2 (MCP = 1032 km2) for one adult male. Three snow leopards crossed international borders five to seven times, spending, on average, 10%–34% of their time in neighboring countries (China and India), with 28%–50% of their home ranges overlapping India. Our study demonstrates that snow leopards in Nepal have home ranges that are significantly larger than previously documented and frequently cross international borders. These extensive transboundary movements highlight the need for stronger coordination between Nepal, China, and India to ensure the long‐term conservation of snow leopards in this key region of their distributional range.

URL: https://snowleopardnetwork.org/b/show.php?record=1776

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Title: Genomic evidence for low genetic diversity but purging of strong deleterious variants in snow leopards

Author: Yang, L., Jin, H., Yang, Q., Poyarkov, A., Korablev, M., Rozhnov, V., Shao, J., Fu, Q., Hernandez-Blanco, J. A., Zhan, X., Yu, L., Alexandrov, D., Dai, Q., Munkhtsog, B., Du, X., Munkhtsog, B., Ma, L., Chen, W., Malykh, S., Jin, Y., He, S., Zhang, T., Wu, G., Shi, Y., Hu, Y.

Abstract:

Background
Long-term persistence of species with low genetic diversity is the focus of widespread attention in conservation biology. The snow leopard, Panthera uncia, is a big cat from high-alpine regions of Asia. However, its subspecies taxonomy, evolutionary history, evolutionary potential, and survival strategy remain unclear, which greatly hampers their conservation.
Results
We sequence a high-quality chromosome-level genome of the snow leopard and the genomes of 52 wild snow leopards. Population genomics reveal the existence of two large genetic lineages in global snow leopards, the northern and southern lineages, supported by the biogeography. The Last Glacial Maximum drove the divergence of two lineages. Microclimate differences and large rivers between the western and central Himalayas likely maintain the differentiation of two lineages. EPAS1 is positively selected in the southern lineage with almost fixed amino acid substitutions and shows an increased allele frequency with elevation. Compared to the southern lineage, the northern lineage exhibits a lower level of genomic diversity and higher levels of inbreeding and genetic load, consistent with its recent population decline. We find that snow leopards have extremely low genomic diversity and higher inbreeding than other Carnivora species; however, strong deleterious mutations have been effectively purged in snow leopards by historical population bottlenecks and inbreeding, which may be a vital genetic mechanism for their population survival and viability.
Conclusions
Our findings reveal the survival strategy of a species with low genetic diversity and highlight the importance of unveiling both genetic diversity and genetic burden for the conservation of threatened species.

URL: https://snowleopardnetwork.org/b/show.php?record=1775

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Title: New records of the clouded leopard Neofelis nebulosa in the Qomolangma National Nature Reserve, Tibet

Author: Ding, Y., Wu, N., Liu, Y. Zhong, H., Cering, L. Shi, K.

Abstract: An abstract is not available for this content.

URL: https://snowleopardnetwork.org/b/show.php?record=1774

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Title: Habitat overlap and interspecific competition between snow leopards and leopards in the Central Himalayas of Nepal

Author: Koju, N. P., Buzzard, P., Shrestha, A., Sharma, S., He, K., Li, J., Kyes, R. C., Chen, C., Beisch, W. V.

Abstract: Traditionally, leopards (Panthera pardus) and snow leopards (P. uncia) occupy distinct habitats. This study explored the coexistence of snow leopards and leopards within the Gaurishankar Conservation Area in Lapchi Valley, Nepal. Both leopard species are crucial for ecosystem stability as apex predators. Camera trapping data from 2018 to 2023 confirmed twenty species of wild mammals and two species of domesticated livestock in Lapchi Valley, where snow leopards have strong spatio-temporal overlap (Δ→0.74) with leopards. Snow leopards exhibited distinct temporal patterns before and after the leopards’ arrival in the study area. Generalized Linear Mixed Effect Models (GLMM) revealed seasonal and prey-type associations with leopard presence, highlighting the snow leopards’ preference for cold season and wild prey. Leopards, however, did not show a significant seasonal preference. The findings highlight Lapchi Valley’s ecological richness as well as the need for comprehensive conservation strategies. The record of spatial and temporal overlap between the leopards and snow leopards provides important insights into the behavioral dynamics of apex predators and the need for targeted biodiversity conservation in the face of changing ecosystems. The study emphasizes the valley’s transboundary significance, calling for collaborative efforts between Nepal and China to help promote effective conservation management. Lapchi Valley’s isolation, traditional and religious importance, and recent infrastructure developments further impact the conservation challenges.

URL: https://snowleopardnetwork.org/b/show.php?record=1773

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Title: Clinical and physiological evaluation of free-ranging snow leopards immobilized with ketamine-xylazine in emergency situations

Author: Talukdar, A., Bhasin, A., Patel, D., Raina, P., Tonde, P., Savita, P.

Abstract: The current study presents data on the immobilization and physiological responses of 26 distressed free-ranging snow leopards (Panthera uncia) in the trans-Himalayan regions of Ladakh, India, spanning three years from October 2020 to December 2023. Ketamine and xylazine were utilized in a drug mixture for rescue, rehabilitation, health assessment, and other capture purposes, with average doses of 6.535 ± 0.93 mgkg−1 and 1.937 ± 0.41 mgkg−1 of body weight, respectively. The average induction occurred at 3.85 ± 1.8 min. Respiratory rate, rectal temperature, and heart rate were monitored periodically post-induction, all remaining within clinically acceptable ranges. Following an average recumbency period of 70.69 ± 16.56 min, immobilizations were reversed using intramuscular injections of Yohimbine at 0.147 ± 0.03 mgkg−1 of body weight, leading to complete recovery within an average time of 24.92 ± 7.08 min. Our findings suggest that the ketamine and xylazine mixture represents a safe and effective method for immobilizing snow leopards, particularly in emergency scenarios.

URL: https://snowleopardnetwork.org/b/show.php?record=1772

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Title: Communication behavior of the snow leopard (Panthera uncia): understanding marking-behavior patterns to optimize camera- trapping studies

Author: Krofel, M., Oliveira, T., Rovero, F., Groff, C., Augugliaro, C., Oberosler, V., Allen, M. L.

Abstract: Many carnivores rely on marking behavior for intraspecific communication with potential mates and competitors, using scent and visual markings to advertise their use of a territory and allow potential mates to assess their quality. However, obtaining data on communication behaviors of rare and elusive animals can be challenging. To better understand marking behavior of snow leopard (Panthera uncia), we combined camera-trapping, snow-tracking and transect counts of scrapes in the Altai Mountains, Mongolia, and measured frequencies of communication behaviors in both space and time. Next, we explored if this information could be used to improve the efficiency of snow leopard population monitoring through camera-trapping. Using the combination of all three methods, we detected seven communication behaviors. Most visits at marking sites began with sniffing (recorded at 56.4% visits) before progressing to other behaviors. Urine spraying (17.7% of visits) and scraping (16.8%) were exhibited at significantly more visits than other communication behaviors (flehmen, head/body rubbing, fecal deposition, claw marking). According to the snow-tracking data conducted in optimal habitats, scraping was the most frequent marking behavior with 12.8 scrapes/km, followed by urine marking with 10.5 marks/km. Along 32 transects, we recorded a mean of 8.0 cumulative scrapes/km, with highest marking rates recorded in gorges, which we recommend as prime habitats for deploying camera-traps. Finally, our results suggest that the number of scrapes observed at potential camera-trapping sites represents a good predictor of snow leopard visitation rate. Therefore, this parameter can be used when choosing camera-trapping locations to increase the efficiency of monitoring programs.

URL:  https://snowleopardnetwork.org/b/show.php?record=1771

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Title: Umbrella, keystone, or flagship? An integrated framework for identifying effective surrogate species

Author: Kau, M., Weckworth, B. V., Li, S., Pires, M.M., Jin, D., Pacifici, M., Rondinini, C., Boitani, L., McCarthy, T. M., Lu, Z., Schaller, G. B., Beissinger, S. R., Li, J.

Abstract: The global biodiversity crisis demands targeted conservation strategies that maximize impact despite limited
resources. Surrogate species approaches, particularly using umbrella, keystone, and flagship species, offer practical targets for conservation planning that may indirectly benefit ecosystems. However, selecting target species is often hindered by conceptual ambiguities and inconsistent methodologies. To address these challenges, we present an integrative framework that systematically identifies effective surrogate species through Multi-Criteria Decision Analysis (MCDA) combined with big data. Our framework quantifies each species’ conservation potential using three indices: an Umbrella index, a Keystone index, and a Flagship index. The Umbrella index assesses habitat overlap using Area of Habitat (AOH) data, the Keystone index is calculated through a network analysis of predator-prey relationships, and the Flagship index analyzes public interest via Google Trends and Baidu Index. These indices are integrated into a composite Effectiveness index using the Multi-Attribute Utility Theory (MAUT) model, with sensitivity analysis to evaluate the robustness of species rankings. We applied this framework to Three-River-Source National Park in the Qinghai-Tibetan Plateau. Our results identified the snow leopard (Panthera uncia) as the most effective surrogate species among mammals, ranking first in both the Flagship and Keystone indices, and tenth in the Umbrella index, leading to its top position in the composite Effectiveness index. This data-driven, transparent approach enhances objectivity in surrogate species selection, promising more strategic and impactful biodiversity conservation efforts worldwide.

URL: https://snowleopardnetwork.org/b/show.php?record=1770

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Title: Insights on the evolution and adaptation toward high-­ altitude and cold environments in the snow leopard lineage

Author: Jiangzuo, Q., Madurell-Malapeira, J., Xinhai, L., Estraviz-Lopez, D., Mateus, O., Testu, A., Li, S., Wang, S., Deng, T.

Abstract: How snow leopard gradually adapted to the extreme environments in Tibet remains unexplored due to the scanty fossil record in Tibet. Here, we recognize five valid outside-­Tibet records of the snow leopard lineage. Our results suggest that the snow leopard dispersed out of the Tibetan Plateau multiple times during the Quaternary. The osteological anatomy of the modern snow leopard shows adaptation to the steep slope and, to a lesser extent, cold/high-­altitude environment. Fossils and phylogeny suggest that the snow leopard experienced a gradual strengthening of such adaptation, especially since the Middle Pleistocene (~0.8 million years). Species distribution modeling suggests that the locations of the fossil sites are not within most suitable area, and we argue that local landscape features are more influential factors than temperature and altitude alone. Our study underscores the importance of integrating morphology, fossil records, and species distribution modeling, to comprehensively understand the evolution, ecology, and inform conservation strategies for endangered species.

URL: https://snowleopardnetwork.org/b/show.php?record=1769

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Title: First large‑scale assessment of snow leopard population in China using existing data from multiple organizations

Author: Li, X., Wei, C., Chen, X., Jia, D., Li, P., Liang, S., Jikmed, A., Gao, Y., Zhao, X., Chu, M., Sharma, K., Alexander, J. A., Lu, Z., Xiao, L.

Abstract: Abundance estimation of large carnivores is essential for their effective conservation planning, yet estimating population size is challenging due to their elusive and wide-ranging nature. China is estimated to encompass 60% of the snow leopard Panthera uncia habitat, making it a crucial pillar for global snow leopard conservation. However, no large-scale population assessment has been conducted despite scattered survey effort accumulating rapidly in recent years. This study combined and standardized existing camera trap survey data from 12 sites collected by four organizations during 2015 ~ 2021 to estimate snow leopard population in an area of 360,000 ­ km2 on the Tibetan Plateau, China. The representativeness of existing survey was evaluated based on two habitat stratification approaches to achieve less biased population assessment. Spatially explicit capture-recapture (SECR) models were applied for snow leopard density estimation and the top-ranked model showed a significant positive correlation between conservation priority strata and density. An average snow leopard density of 0.90 /100 ­ km2 (95% CI: 0.68 ~ 1.21 /100 ­ km2) and a population size of 1,002 (95% CI: 755 ~ 1,341) individuals was estimated for the defined snow leopard habitat. Two more conservative estimates of 971 (95% CI: 732 ~ 1,287) and 978 (95% CI: 737 ~ 1,267) individuals were generated within two defined survey regions, in which our data had higher representativity. This study presents a practical approach to synthesize existing population survey data for large-scale population assessments of individually identifiable species. The estimated number represents 11 ~ 21% of the global snow leopard population, indicating high conservation value of this region.

URL: https://snowleopardnetwork.org/b/show.php?record=1768

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Title: Who’s the boss? Understanding the spatial relationship between snow leopard and Eurasian lynx in southern Mongolia

Author: Byambasuren, C., Johansson, O., Alexander, J. S., Lkhagvajav, P., Samelius, G., Sharma, K.

Abstract: Interspecific competition, a fundamental ecological process characterized by negative interactions between species, plays a vital role in shaping ecological communities. Despite the co-occurrence of the snow leopard Panthera uncia and the Eurasian lynx Lynx lynx across vast landscapes in Asia, their interactions remain poorly understood. In this study, we investigated how the presence of snow leopards affected site-use by lynx and whether the presence of snow leopards resulted in behavioral adaptations by the lynx. Between 2017 and 2022, we conducted camera trap-based surveys across six sites in southern Mongolia and evaluated species co-occurrence by snow leopards and lynx using the occupancy framework. We assumed snow leopards to be the dominant species while using topographical and land cover variables as covariates. Our results show that the presence of snow leopards influenced site-use by lynx, leading to a shift in space use when snow leopards were present. Specifically, lynx used the entire range of ruggedness and did not select for shrubby areas in the absence of snow leopards, whereas they avoided rugged areas and had a strong preference for shrubby areas when snow leopards were present. Our findings emphasize the influence a larger predator can have on the space use of a smaller predator, and how the presence of snow leopards can alter the space-use of lynx. Understanding these interactions  and behavioral adaptations can be useful for developing effective conservation strategies in the region.

URL: https://snowleopardnetwork.org/b/show.php?record=1767