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Ming, M., Yun, G., & Bo, W. (2008). Chinese snow leopard team goes into action. Man & the Biosphere, 54(6), 18–25.
Abstract: China, the world's most populous country, also contains the largest number of Snow Leopards of any country in the world. But the survey and research of the snow leopard had been very little for the second half of the 20th century. Until recent years, the members of Xinjiang Snow Leopards Group (XSLG/SLT/XFC) , the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences have been tracking down the solitary animal. The journal reporter does a face-to-face interview with professor Ma Ming who is a main responsible expert of the survey team. By the account of such conversation, we learn the achievements, advances and difficulty of research of snow leopards in the field, Tianshan and Kunlun, Xinjiang, the far west China, and we also know that why the team adopt the infrared camera to capture the animals. Last but not least professor talked about the survival menace faced by the Snow Leopards in Xinjiang.
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Ming, M., Yun, G., & Bo, W. (2008). Man & the Biosphere: The special series for the conservation of Snow Leopards in China (Vol. 54).
Abstract: The Chinese magazine <Man & the Biosphere> (Series No. 54, No. 6, 2008) -- A special series for the conservation of Snow Leopards was published by the Chinese National Committee for Man & the Biosphere in 15th December 2008. It is about 80 pages including ten articles with 200 color pictures. The special editors of this issue are the experts from SLT/XCF Prof. MaMing, Mrs. Ge Yun and Mr. Wen Bo. The first paper is “A King of Snow Peaks, Another Endangered Flagship Species” by Dr. Thomas McCarthy, Dr. Urs Breitenmmoser and Dr. Christine Breitenmoser-Wursten (Page 1-1). Another paper “ Conservation : Turning Awareness to Action ” is also from Dr. Thomas McCarthy (Pages from 6-17). There are four articles including the diary and story of the Surveys in Tomur Mountain and Kunlun Mountains written by Prof. MaMing, Mr. XuFeng, Miss Chen Ying and Miss Cheng Yun from the Xinjiang Snow Leopard Group and XCF, the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. The last is “Snow Leopard Enterprises ” -- A Story from Mongolia by Mrs. Jennifer Snell Rullman and Mrs. Agvaantseren Bayarjargal (Bayara). It is a very useful copy for the conservation in China. Cited as:
Ma Ming, GeYun and WenBo (Special editors of this issue). 2008. The special series for the conservation of Snow Leopards in China. Man & the Biosphere 2008(6): 1-80. Contents 1, A king of snow peaks, another endangered flagship species (Synopsis) ------------- 1-1 The contents --------------------------------------------- ( pages from 2-3 ) 2, Protecting Snow Leopard means protecting a healthy eco-systems -------------- 4-5 3, Conservation: Turning awareness into action -------------- 6-17 4, Chinese Snow Leopard Team goes into action -------------- 18-25 5, A diary of infrared photography -------------- 26-35 6, Why have the snow leopards in the Tianshan Mountains begun to attack livestock? --- 36-43 7, The mystery of the Snow Leopards coming down the Tianshan Mountains ----------- 44-45 8, Snow leopards secluded Home on the Plateau ------------- 46-59 9, He saw Snow Leopards 30 years ago ------------- 60-69 10, Snow Leopard Enterprises -- A story from Mongolia ------------- 70-80 Keywords: conservation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; China; Chinese; national; 80; 200; endangered; McCarthy; awareness; action; surveys; survey; Tomur; mountain; Kunlun; mountains; Xinjiang; ecology; enterprises; Mongolia; Bayarjargal; 180; flagship-species; species; ecosystems; ecosystem; photography; Tianshan Mountains; attack; livestock; home; plateau; 30; snow-leopard-enterprises; 7080
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Ming, M., Chundawat R.S., Jumabay, K., Wu, Y., Aizeizi, Q., & Zhu, M. H. (2006). Camera trapping of snow leopards for the photo capture rate and population size in the Muzat Valley of Tianshan Mountains. Acta Theriologica Sinica, 52(4), 788–793.
Abstract: The main purpose of this work was to study the use of infrared trapping cameras to estimate snow leopard Uncia uncia population size in a specific study area. This is the first time a study of this nature has taken place in China. During 71 days of field work, a total of 36 cameras were set up in five different small vales of the Muzat Valley adjacent to the Tomur Nature Reserve in Xinjiang Province, E80ø35' – 81ø00' and N42ø00' – 42ø10', elevation 2'300 – 3'000 m, from 18th October to 27th December 2005. We expended approximately 2094 trap days and nights total (c. 50'256 hours). At least 32 pictures of snow leopards, 22 pictures of other wild species (e.g. chukor, wild pig, ibex, red fox, cape hare) and 72 pictures of livestock were taken by the passive Cam Trakker (CT) train monitor in about 16 points of the Muzat Valley. The movement distance of snow leopard was 3-10 km/day. And the capture rate or photographic rate of snow leopard was 1.53%. Meanwhile, 20 transects were run and 31 feces sample were collected. According to 32 photos, photographic rate and sign survey after snowing on the spot, were about 5-8 individuals of snow leopards in the research area, and the minimum density of snow leopard in Muzat Valley was 2.0 – 3.2 individuals/100 km2. We observed the behavior of ibex for 77.3 hours, and found about 20 groups and a total of approximately 264 ibexes in the research area.
Keywords: behavior; camera trapping; capture; China; Chinese; density; feces; fox; ibex; infrared trapping cameras; livestock; photo; population; research; reserve; sign; snow leopard; survey; Tianshan Mountains; Tomur; transect; Uncia uncia; Xinjiang
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Jackson, R., Hunter, D.O. (1995). Snow leopard Survey and conservation handbook (First edition).
Abstract: The objectives of this handbook (First edition) are to provide standard procedures for conducting snow leopard status and distribution surveys; suggest uniform methods for assessing the status and relative abundance of large prey species (ungulates such as blue sheep, argali, markhor, Himalayan tahr, urial, ibex, red deer, and roe deer); offer guidance in evaluating habitat quality and identifying the major environmental factors affecting species welfare; and provide standard forms for reporting the results of these field surveys, and a process for feeding information developed by the International Snow Leopard Trust into Snoe Leopard Information Management System (SLIMS).
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Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. (2024). Harnessing Drones for Snow Leopard Prey Surveys. SL Reports, (3), 1–8.
Abstract: Surveying snow leopard prey species such as argali, ibex or blue sheep through traditional ground-based observations is time-consuming, expensive, and challenging. Aerial drones present a promising alternative. We tested using thermal-sensor- equipped drones to count ungulate populations in Mongolia’s Ikh Nart Nature Reserve, surveying ~400km of transects along five fixed routes for forty-three missions. Drones detected 235 prey animals and 209 livestock; 26% of all sightings were in areas that would not have been visible to hypothetical ground-based observers. Our tests reinforced the utility of drones for counting snow leopard prey and highlighted important issues and future advances for supporting largely autonomous prey surveys. We recommend biologists build upon existing technology to attain an inexpensive, easy to use, and field ready set of equipment and procedures that can reliably improve or replace traditional transect or point count methods for large prey species.
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Moheb, Z., Rajabi, A. M., Jahed, N., Ostrowski, S., Zahler, P. I., Fuller, T. K. (2022). Using double-observer surveys to monitor urial and ibex populations in the Hindu Kush of Wakhan National Park, Afghanistan. Oryx, , 1–7.
Abstract: We surveyed the urial Ovis vignei and Siberian ibex Capra sibirica in the Hindu Kush mountain range of Wakhan National Park in north-eastern Afghanistan to determine their population status and identify potential drivers of population change. We conducted two double- observer ground surveys, in April–May 2015 and 2018, in 10 areas (total = 288 km2). Urial herds were mostly com- posed of both sexes (78% of observed herds), the mean adult sex ratio (females:males) was 100:70, and the mean female:juvenile ratio was 100:53. In 2018 we calculated a urial density of 35/100 km2, compared to 72/100 km2 in 2015. Ibex herds were mostly (79%) composed of both sexes, the mean adult sex ratio (females:males) was 100:103, and the mean female:juvenile ratio was 100:58. Ibex density estimates were similar in 2015 and 2018 (c. 250/100 km2). We discuss the usefulness of the double-observer methods for ungulate surveys, highlight the value of viewshed calculations and discuss the possible causes of urial population decline. To ensure the conservation of these ungulate populations, we recommend continued regular monitoring, measures to address poaching and research to clarify the taxonomical status of urials in Wakhan.
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the locations at which animals were detected (their spatial capture histories) to estimate animal density. Despite the often large expense and effort involved in placing detectors in a landscape, there has been relatively little work on how detectors should be located. A natural criterion is to place traps so as to maximize the precision of density estimators, but the lack of a closed-form expression for precision has made optimizing this criterion computationally demanding. 2. Recent results by Efford and Boulanger (2019) show that precision can be well approximated by a function of the expected number of detected individuals and expected number of recapture events, both of which can be evaluated at low computational cost. We use these results to develop a method for obtaining survey designs that optimize this approximate precision for SCR studies using count or binary proximity detectors, or multi-catch traps. 3. We show how the basic design protocol can be extended to incorporate spatially varying distributions of activity centres and animal detectability. We illustrate our approach by simulating from a camera trap study of snow leopards in Mongolia and comparing estimates from our designs to those generated by regular or optimized grid designs. Optimizing detector placement increased the number of detected individuals and recaptures, but this did not always lead to more precise density estimators due to less precise estimation of the effective sampling area. In most cases, the precision of density estimators was comparable to that obtained with grid designs, with improvement in some scenarios where approximate CV(¬D) < 20% and density varied spatially. 4. Designs generated using our approach are transparent and statistically grounded. They can be produced for survey regions of any shape, adapt to known information about animal density and detectability, and are potentially easier and less costly to implement. We recommend their use as good, flexible candidate designs for SCR surveys when reasonable knowledge of model parameters exists. We provide software for researchers to construct their own designs, in the form of updates to design functions in the r package oSCR. |
Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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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. |
Tumursukh, L., Suryawanshi, K. R., Mishra, C., McCarthy, T. M., Boldgiv, B. (2015). Status of the mountain ungulate prey of the Endangered snow leopard Panthera uncia in the Tost Local Protected Area, South Gobi, Mongolia. Oryx, , 1–6.
Abstract: The availability of wild prey is a critical predictor of carnivore density. However, few conservation pro- grammes have focused on the estimation and monitoring of wild ungulate populations and their trends, especially in the remote mountains of Central Asia. We conducted double-observer surveys to estimate the populations of ibex Capra sibirica and argali Ovis ammon in the mountain- ous regions of Tost Local Protected Area, South Gobi prov- ince, Mongolia, which is being considered for designation as a Nature Reserve. We also conducted demographic surveys of the more abundant ibex to examine their sex-ratio and the survival of young during –. The estimated ibex population remained stable in  and  and the es- timated argali population increased from  in  to  in . The biomass of wild ungulates was c. % that of live- stock. Mortality in young ibex appeared to increase after weaning, at the age of  months. We estimated the popula- tion of wild ungulates was sufficient to support – adult snow leopards Panthera uncia. The adult snow leopard population in our study area during –, estimated independently using camera-trap-based mark–recapture methods, was –. Based on our results we identify the Tost Local Protected Area as an important habitat for the conservation of these ungulates and their predator, the Endangered snow leopard, and recommend elevation of its status to a Nature Reserve.
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