|
|
Sharma, K. (2008). The mysterious irbis. Sanctuary Asia, 28(6), 52–57.
|
|
|
|
Bischof, R., Hameed, S., Ali, H., Kabir, M., Younas, M., Shah, K. A., Din, J. U., Nawaz, M. A. (2013). Using time-to-event analysis to complement hierarchical methods when assessing determinants of photographic detectability during camera trapping. Methods in Ecology and Evolution, .
Abstract: 1. Camera trapping, paired with analytical methods for estimating occupancy, abundance and other ecological parameters, can yield information with direct consequences for wildlife management and conservation. Although ecological information is the primary target of most camera trap studies, detectability influences every aspect from design to interpretation.
2. Concepts and methods of time-toevent analysis are directly applicable to camera trapping, yet this statistical field has thus far been ignored as a way to analyze photographic capture data. to illustrate the use to time-to-event statistics and to better understand how photographic evidence accumulates, we explored patterns in tow related measure of detectability: Detection probability and time to detection. We analyzed camera trap data for three sympatric carnivores ( snow Leopard, red fox and stone marten) in the mountains of northern Pakistan and tested predictions about patterns in detectability across species, sites and time.
3. We found species-specific differences in the magnitude of detectability and the factors influencing it, reinforcing the need to consider determinants of detectability in study design and to account for them during analysis. Photographic detectability of snow leopard was noticeably lower than that of red fox, but comparable to detectability of stone marten. Site-specific attributes such as the presence of carnivore sign ( snow Leopard), terrain ( snow leopard and red fox) and application for lures ( red fox) influenced detectability. For the most part, detection probability was constant over time.
4. Species- specific differences in factors determining detectability make camera trap studies targeting multiple species particularly vulnerable to misinterpretation if the hierarchical origin of the data is ignored. Investigators should consider not only the magnitude of detectability, but also the shape of the curve describing the cumulative process of photographic detection, as this has consequences for both determining survey effort and the election of analytical models. Weighted time-to -event analysis can complement occupancy analysis and other hierarchal methods by providing additional tools for exploring camera trap data and testing hypotheses regarding the temporal aspect of photographic evidence accumulation.
|
|
|
|
Suryawanshi, K. R., Bhatnagar, Y. V. B., Redpath, S., Mishra, C. (2013). People, predators and perceptions: patterns of livestock depredation by snow leopards and wolves. Journal of Applied Ecology, 50, 550–560.
Abstract: 1. Livestock depredation by large carnivores is an important conservation and economic concern
and conservation management would benefit from a better understanding of spatial variation
and underlying causes of depredation events. Focusing on the endangered snow leopard
Panthera uncia and the wolf Canis lupus, we identify the ecological factors that predispose
areas within a landscape to livestock depredation. We also examine the potential mismatch
between reality and human perceptions of livestock depredation by these carnivores whose
survival is threatened due to persecution by pastoralists.
2. We assessed the distribution of the snow leopard, wolf and wild ungulate prey through field
surveys in the 4000 km2 Upper Spiti Landscape of trans-Himalayan India. We interviewed local
people in all 25 villages to assess the distribution of livestock and peoples’ perceptions of the risk
to livestock from these carnivores. We monitored village-level livestock mortality over a 2-year
period to assess the actual level of livestock depredation. We quantified several possibly influential
independent variables that together captured variation in topography, carnivore abundance
and abundance and other attributes of livestock. We identified the key variables influencing livestock
depredation using multiple logistic regressions and hierarchical partitioning.
3. Our results revealed notable differences in livestock selectivity and ecological correlates of
livestock depredation – both perceived and actual – by snow leopards and wolves. Stocking
density of large-bodied free-ranging livestock (yaks and horses) best explained people’s threat
perception of livestock depredation by snow leopards, while actual livestock depredation was
explained by the relative abundance of snow leopards and wild prey. In the case of wolves,
peoples’ perception was best explained by abundance of wolves, while actual depredation by
wolves was explained by habitat structure.
4. Synthesis and applications. Our results show that (i) human perceptions can be at odds
with actual patterns of livestock depredation, (ii) increases in wild prey populations will intensify
livestock depredation by snow leopards, and prey recovery programmes must be accompanied
by measures to protect livestock, (iii) compensation or insurance programmes should
target large-bodied livestock in snow leopard habitats and (iv) sustained awareness
programmes are much needed, especially for the wolf.
|
|
|
|
Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. (2018). Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base. Biology Bulletin, 45(9), 1106–1115.
Abstract: 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.
|
|
|
|
Jackson, P. (1998). Villagers save predatory snow leopard. Cat News, 28, 12.
Abstract: A short report is presented on the capture and relocation of a snow leopard in northern Pakistan. Villagers discovered the leopard attacking their goats and captured it. WWF-Gilgit relocated the leopard to a remote area. slj.
|
|
|
|
Hunter, D. (1997). Mongolian-American Snow Leopard Project. Cat News, 26, 15–16.
Abstract: A snow leopard project is underway to study snow leopards in Mongolia. The project, called the Mongolian-American Snow Leopard Project, involves the Wildlife Conservation Society, the Mongolian Association for the Conservation of Nature and Environment, the National Geographic Society, the Mongolian Ministry of Nature and the Environment, the U.S. National Biological Service, and the International Snow Leopard Trust. The objective of the study is to survey the distribution and status of Mongolia's snow leopards, including those living in the Gobi Desert. klf.
|
|
|
|
Schaller, G. B. (1987). Status of large mammals in the Taxkorgan Reserve, Xinjiang, China. Biological-Conservation, 42(1), 53–71.
Abstract: A status survey of large mammals was conducted in the W half of 14 000 km“SUP 2” Taxkorgan Reserve. Only one viable population of fewer than 150 Marco Polo sheep Ovis ammon poli survives; it appears to be augmented by adult males from Russia and Afghanistan during the winter rut. Asiatic ibex Capra ibex occur primarily in the western part of the reserve and blue sheep Pseudois nayaur – the most abundant wild ungulate – in the E and SE parts. The 2 species overlap in the area of contact. Counts revealed an average wild ungulate density of 0.34 animals km“SUP -2”. Snow leopard Panthera uncia were rare, with possibly 50-75 in the reserve, as were wolves Canis lupus and brown bear Ursus arctos. The principal spring food of snow leopard was blue sheep (60%) and marmot (29%). Local people have greatly decimated wildlife. Overgrazing by livestock and overuse of shrubs for fuelwood is turning this arid steppe habitat into desert. -from Authors
|
|
|
|
Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P. (2015). On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China. Oryx, (Fauna & Flora International), 1–8.
Abstract: Abstract There is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopard Panthera uncia to inform the de- velopment of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across  km in Gansu Province, China, and used data from  camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheep Pseudois nayaur and the presence of human disturb- ance (distance to roads). We recorded  captures of snow leopards over , trap-days, representing a mean capture success of . captures per  trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, whereas the influence of presence of prey and distance to roads was relatively weak. Our findings indicate the need for practical and robust tech- niques to appraise determinants of site use by snow leo- pards, especially in the context of the limited resources available for such work.
|
|
|
|
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.
|
|
|
|
Chetri, M., Odden, M., Sharma, K., Flagstad, O., Wegge, P. (2019). Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal. Global Ecology and Conservation, (17), 1–8.
Abstract: Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research.
|
|
