|
Ale, S., Shrestha, B., and Jackson, R. (2014). On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal. Journal of Threatened Taxa, (6(3)), 5534–5543.
|
|
test. (2014). test.
|
|
Mallon, D., Kulikov, M. (2015). Transboundary Snow Leopard Conservation in Central Asia: Report of the FFI/CMS Workshop, 1-2 December 2014.
|
|
Janecka, J. E., Alves, P., Karmacharya, D., Samsel, N., Cheng, E., Tallmom, D., Schwartz, M. (2013). Wildlife Genetics in Mountainous Rugged Asian Landscapes: Methods, Applications and Examples. In Wildlife Research Techniques in rugged Mountainous Asian Landscapes (pp. 44–91).
|
|
Li, J., Xiao, L., Lu, Z. (2016). Challenges of snow leopard conservation in China. Science China Life Sciences, 59(6), 637–639.
|
|
Farhadinia, M. S., Maheshwari, A., Nawaz, M. A., Ambarli, H., Gritsina, M. A., Koshkin, M. A., Rosen, T., Hinsley, A., Macdonald, D. W. (2019). Belt and Road Initiative may create new supplies for illegal wildlife trade in large carnivores.
|
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.
|
WWF Russia & Mongolia. (2010). WWF Altai-Sayan Newsletter. WWF.
Abstract: A Snow Leopard – A Treasure of Tuva. A beautiful animal as a winner of a wide-scale public vote
WWF will train a Scat Detection Dog for snow leopard monitoring project
WWF assessed the possibility to fight illegal helicopter hunting
WWF considers support of antipoaching activities an essential part of wildlife conservation in Altai – Sayan
Snow Leopard Camera Trapping in Argut River Valley
“Stars” of Tuva appeal to Snow Leopard Conservation
|
