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Bircher, P. (1980). Marwell Pres. Trust Annual Report 1979: Curator's Report.
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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.
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Blomqvist, L. (Ed.). (1978). International Pedigree Book of Snow Leopards, Pantera uncia, Volume 1 (Vol. 1). Finland: Helsinki Zoo.
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Blomqvist, L. (1978). Snow leopard photos. In International Pedigree Book of Snow Leopards (pp. 141–151).
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Bocci, A., Lovari, S., Khan, M. Z., Mori, E. (2017). Sympatric snow leopards and Tibetan wolves: coexistence of large carnivores with human-driven potential competition. European Journal of Wildlife Research, , 1–9.
Abstract: The snow leopard Panthera uncia coexists with the wolf Canis lupus throughout most of its distribution range.
We analysed the food habits of snow leopards and wolves in their sympatric range in the Karakoram mountains of Pakistan. A total of 131 genotyped scats (N = 74, snow leopard; N = 57, Tibetan wolf) were collected during the cold periods (i.e. winter and spring) of 2011 and 2012 in the Hushey valley. Large mammals, i.e. livestock and ibex, accounted for 84.8 and 83.1% of the diet (relative frequency) of the snow leopard and the wolf, respectively. Domestic prey was the staple of the diet of both snow leopards (66.6%) and wolves (75.1%). Ibex Capra ibex, the only wild ungulate in our study area, contributed 18.2 and 16.9%of relative frequencies in the
diets of the snow leopard and the wolf, respectively. In winter, the snowleopard heavily relied on domestic sheep (43.3%) for food, whereas the wolf preyed mainly on domestic goats (43.4%). Differently from other study areas, both snow leopards and wolves showed no apparent prey preference (Jacobs
index: snow leopard min. − 0.098, max. 0.102; Tibetan wolf min. − 0.120, max. 0.03). In human depauperate areas, with livestock and only a few wild prey, should competitive interactions arise, two main scenarios could be expected, with either predator as a winner. In both cases, the best solution
could primarily impinge on habitat restoration, so that a balance could be found between these predators, who have already coexisted for thousands of years.
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Bower, J. N. (1980). For some endangered species, captive breeding programs are their last chance for life. National Parks and Conservation Magazine, (June), 16–19.
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Braden, K. (1999). Endangered species protection and economic change in the former USSR.
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Braden, K. (2015). Illegal recreational hunting in Russia: the role of social norms and elite violators. Eurasian Geography and Economics, .
Abstract: Poaching in Russia has been reported to be of catastrophic proportions and threatens
maintenance of biodiversity. Management of game species has stabilized some numbers,
but both endangered species listed in the Russian Red Book and animals traditionally
viewed as hunting prey are diminishing in some regions. Rank-and-file
hunters, increasingly shut off from access to hunting grounds, have expressed a negative
reaction to new hunting regulations adopted by the Russian government in 2012.
While high-profile poaching incidents by so-called “VIP hunters” do not apparently
make up a large portion of cases, the symbolism of the alleged crimes has a derogatory
impact on ordinary hunters because lawlessness is reinforced by perceptions of
impunity for elite poachers.
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Bridges, W. (1961). Two young snow leopards in the zoo. Animal Kingdom, LXIV(1).
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Brookfield Zoo. Table 1: Semen characteristics and testicular size in snow leopards, Chinese leopards, and clouded leopards.
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