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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. (2022). Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China. Landscape Ecology, , 1–19.
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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Parker, B. G., Khanyari, M., Ambarli, H., Buuveibaatar, B., Kabir, M., Khanal, G., Mirzadeh, H. R., Onon, Y., Farhadinia, M. S. (2023). A review of the ecological and socioeconomic characteristics of trophy hunting across Asia. Animal Conservation, , 1–16.
Abstract: The continuing debates about trophy hunting should be underpinned by an understanding of at least the basic characteristics of the practice (e.g. species, quotas, areas, prices). Whilst many countries in Asia have established trophy hunting programmes of considerable importance to conservation and local livelihoods, there remains some ambiguity over the extent of trophy hunting in Asia as its basic characteristics in each country have not been compiled. In this study, we compile information on various ecological and socioeconomic characteristics of trophy hunting of mammals for countries across Asia by reviewing published and unpublished literature, analysing trade data, and obtaining contributions from in-country contacts. Across Asia, established trophy hunting programmes exist in at least 11 countries and target at least 30 species and one hybrid (incl., five Vulnerable and one Endangered species). Trophy hunting in these countries varies markedly in areas (e.g. >1 million km2 in Kazakhstan, 37% of country, vs. 1325 km2 in Nepal, <1% of country) and annual offtakes (e.g. Kazakhstan: 4500 individuals from 4 of 5 trophy species; Pakistan: 229 from 4 of 7; Mongolia: 155 from 6 of 9; Tajikistan: 126 from 3 of 6; Nepal: 22 from 3 of the 4 that are trophy hunted in practice). Permit prices also vary across species and countries, with domestic and international hunters sometimes charged different rates. Hunters from the USA appear overwhelmingly prominent among international clients. National legislations typically mandate a proportion of trophy hunting revenue to accrue locally (range: 40–100%). We provide five key recommendations for research to inform trophy hunting policy in Asia: (1) Ecological impact assessments; (2) Socioeconomic impact assessments; (3) Evaluations of the contributions of trophy hunting to conservation spending; (4) Evaluations of the contributions of trophy hunting to the post-2020 Global Biodiversity Framework; (5) Further examinations of perceptions of trophy hunting.
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Hanson, J. H., Schutgens, M., Baral, N., Leader-Williams, N. (2022). Assessing the potential of snow leopard tourism-related products and services in the Annapurna Conservation Area, Nepal. Tourism Planning & Development, , 1–20.
Abstract: Conservation Enterprise is increasingly promoted to support the conservation of species and landscapes through incentives, such as ecotourism, including in the Annapurna Conservation Area (ACA), Nepal. Yet the elusive behaviour of snow leopards here limits opportunities for conservation enterprise, particularly those linked to conventional ecotourism forms. Furthermore, the potential to explicitly link local snow leopard-friendly livestock production systems with the tourist market in the area, via eco-certified livestock products, has not been investigated. Therefore, this paper aims to explore the interest, from supply and demand perspectives, in introducing snow leopard ecotourism services and eco-certified products into the ACA tourist market. Questionnaire data were gathered from 406 tourists and 403 local residents. Our results, of interest to managers and researchers alike, show that there is potential to generate funds and support for both snow leopard conservation and community development, and add to the literature on utilising enterprise initiatives as conservation tools.
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Hanson, J. H. Household Conflicts with Snow Leopard Conservation and Impacts from Snow Leopards in the Everest and Annapurna Regions of Nepal. Environmental Management, , 1 of 12.
Abstract: Impacts on households from large carnivores are frequently reported in the conservation literature, but conflicts between households and large carnivore conservation are not. Employing a human-wildlife coexistence framework that distinguishes between human-wildlife impacts on one hand, and human-conservation conflicts on the other, this paper presents data from Annapurna Conservation Area and Sagarmatha (Everest) National Park, Nepal, each with different models of conservation governance. Using systematic sampling, quantitative information from 705 households was collected via questionnaires, while 70 semi-structured interviews were conducted with key informants for cross-methods triangulation. 7.7% of households reported conflicts with snow leopard conservation in the previous 12 months, primarily due to damage to livelihoods; these were significantly higher in the Annapurna region. 373 livestock were reported lost by households to snow leopards in the previous 12 months, representing 3.4% of total livestock owned and US$ 132,450 in financial value. Livestock losses were significantly lower in the Everest area. In linear regression models, total household livestock losses to all sources best explained conflicts with snow leopard conservation and household livestock losses to snow leopards but the models for the former dependent variable had very low explanatory power. Conservation in general, and large carnivore conservation in particular, should distinguish carefully between impacts caused by coexistence with these species and conflicts with conservation actors and over the methods and interventions used to conserve carnivores, especially where these negatively impact local livelihoods. In addition, livestock husbandry standards are highlighted again as an important factor in the success of carnivore conservation programmes.
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Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. (2020). Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study. bioRxiv, , 1–21.
Abstract: Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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Maheshwari, A., Niraj, S. K. (2018). Monitoring illegal trade in snow leopards: 2003e2014. Elsevier, , 1–6.
Abstract: Illegal trade in snow leopards (Panthera uncia) has been identified as one of the major
threats to long-term survival of the species in the wild. To quantify severity of the threats
to dwindling snow leopard population, we examined market and questionnaire surveys,
and information from the published and unpublished literature on illegal trade and
poaching of snow leopards.We collected information from 11 of the 12 snow leopard range
counties in central and southern Asia, barring Kazakhstan, and reported 439 snow leopards
(88 records) in illegal trade during 2003e2014, which represents a loss of approximately
8.4%e10.9% snow leopard population (assuming mid-point population of 5240 to
minimum population of 4000 individuals) in a period of 12 years. Our data suggested a 61%
decadal increase in snow leopard trade during 2003e2012 compared with 1993e2002,
while taking the note of significant strengthening of wildlife enforcement and crime
control network in the decades of 2000s and 2010s. We found 50% prosecution rate of
snow leopard crimes resulting in only 20% conviction rate globally. Many limitations e.g.,
secretive nature of illegal trade, ill developed enforcement mechanism, poor and passive
documentation of snow leopards' seizures, restricted us to reflect actual trend of snow
leopards' illegal trade. Even on a conservative scale the present situation is alarming and
may detrimental to snow leopard conservation. We propose an effective networking of
enforcement efforts and coordination among the law enforcement agencies, efficient
collection of data and data management, and sharing of intelligence in snow leopard range
countries, could be useful in curbing illegal trade in snow leopards in central and southern
Asia.
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Ghoshal, A., Bhatnagar, Y. V., Pandav, B., Sharma, K., Mshra, C. (2017). Assessing changes in distribution of the Endangered snow leopard Panthera uncia and its wild prey over 2 decades in the Indian Himalaya through interviewbased occupancy surveys. Oryx, , 1–13.
Abstract: Understanding species distributions, patterns of
change and threats can form the basis for assessing the conservation
status of elusive species that are difficult to survey.
The snow leopard Panthera uncia is the top predator of the
Central and South Asian mountains. Knowledge of the distribution
and status of this elusive felid and its wild prey is
limited. Using recall-based key-informant interviews we estimated
site use by snow leopards and their primary wild
prey, blue sheep Pseudois nayaur and Asiatic ibex Capra
sibirica, across two time periods (past: �; recent:
�) in the state of Himachal Pradesh, India. We
also conducted a threat assessment for the recent period.
Probability of site use was similar across the two time periods
for snow leopards, blue sheep and ibex, whereas for wild
prey (blue sheep and ibex combined) overall there was an
% contraction. Although our surveys were conducted in
areas within the presumed distribution range of the snow
leopard, we found snow leopards were using only % of
the area (, km). Blue sheep and ibex had distinct distribution
ranges. Snow leopards and their wild prey were not
restricted to protected areas, which encompassed only %
of their distribution within the study area. Migratory livestock
grazing was pervasive across ibex distribution range
and was the most widespread and serious conservation
threat. Depredation by free-ranging dogs, and illegal hunting
and wildlife trade were the other severe threats. Our
results underscore the importance of community-based, landscape-
scale conservation approaches and caution against reliance
on geophysical and opinion-based distribution maps that have been used to estimate national and global snow leopard ranges.
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Allen, P., & Macray, D. (2002). Snow Leopard Enterprises Description and Summarized Business Plan.. Seattle: Islt.
Abstract: The habitat for both humans and snow leopards in Central Asia is marginal, the ecosystem fragile. The struggle for humans to survive has often, unfortunately, brought them into conflict with the region's dwindling snow leopard populations. Herders commonly see leopards as a threat to their way of life and well-being. Efforts to improve the living conditions of humans must consider potential impacts on the environment. Likewise, conservation initiatives cannot ignore humans as elements of the landscape with a right to live with dignity and pride. Based on these principles, the International Snow Leopard Trust has developed a new conservation model that addresses the needs of all concerned.
We call it Snow Leopard Enterprises..
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Li, J., McCarthy, T. M., Wang, H., Weckworth, B. V., Shaller, G. B., Mishra, C., Lu, Z., Beissinger, S. R. (2016). Climate refugia of snow leopards in High Asia. Biological Conservation, (203), 188–196.
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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