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Matyushkin, E. N. (2000). Tracks and tracking techniques in studies of large carnivorous mammals. Zoologichesky Zhurnal, 79((4)), 412–429.
Abstract: In Russia, traditions of track observations and the use of tracking techniques in studying the ecology and behavior of mammals were founded by A.N. Formozov. An analytic review of his data on large carnivorous mammals (tiger, snow leopard, wolf, brown bear, wolverine, and others) is given. A special detailed observation of animals' tracks as a source of information on their life is shown only to start. The efficiency of track observations in various fields of studies, including counting animals, is estimated. The values of day and night distances for various animal species, given in literature, have never been properly substantiated methodically. The tracking method is the most effective in studying the use of the home range by animals, drawing the network of their movements and scent-marking behavior. The hunting behavior of large predators in dense forests is can only be deduced by observing their tracks. In some cases, the use of tracking has a distinct advantage over radio tracking. The main propositions are illustrated by the materials of the author obtained in various Russian regions (in forests of the northern Russian Plain and southern Far east) for 1958-1998.
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Ming, M., Munkhtsog, B., Xu, F., Turghan, M., Yin, S. -jing, & Wei, S. - D. (2005). Markings as Indicator of Snow Leopard in Field Survey, in Xinjiang.
Abstract: The Snow Leopard (Uncia uncia) was a very rare species in China. The survey on the markings of Snow Leopard in Ahay and Tianshan Mountains is the major activity of the Project of Snow Leopard in Xinjiang, supported by International Snow Leopard Trust(ISLT)and Xinjiang Conservation Fund(XCF). During the field work from Sep to Nov 2004 the Xinjiang Snow Leopard Group(XSLG) set 67 transects of a total length of 47 776 m with mean transect length is 7 1 3 m at 9 locations.Total of 1 l 8 markings of Snow Leopards were found in 27 transects the mean density is 247km. The markings of Snow Leopard included the pug marks or footprints, scrapes, feces, bloodstain, scent spray, urine, hair or fur, claw rake, remains of prey corpse, sleep site, roar and others. From the quantity and locations of marks the XSLG got the information on habitat selection distribution region and relative abundance of the Snow Leopard in the study areas. The survey also provided knowledge on distribution and abundance of major prey potential conservation problems and human attitudes to Snow Leopards by taking 200 questionnaires in the study areas.
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Nolte-Wilson, B. (1990). Soveriegn of menaced realm: the snow leopard. Natura WWF-Pakistan Newsletter, 9(2), 3–9.
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Karanth, K. U., Nichols, J.D., Seidensticker, J., Dinerstein, E., David Smith, J.L., McDougal, C., Johnsingh, A.J.T., Chundawat, R.S., Thapar, V. (2003). Science deficiency in conservation practice: the monitoring of tiger populations in India. Animal Conservation, 6, 141–146.
Abstract: Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.
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