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Sumiya, G., Buyantsog, B., & WWF Mongolia Country Office. (2002). Conservation of Snow Leopard in the Turgen and Tsagaan Shuvuut Mountains Through Local Involvement.. Islt: Islt.
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McCarthy, T. (1999). Snow Leopard Conservation Plan for the Republic of Mongolia.
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Malik, M. M. (1997). The Current Status of Snow Leopards and Their Prey Status and Conservation of Snow Leopard in Pakistan. In R.Jackson, & A.Ashiq (Eds.), (pp. 11–20). Lahore, Pakistan: International Snow Leopard Trust.
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Linnell, J., Swenson, J., Landa A., & and Kvam, T. (1998). Methods for monitoring European large carnivores – A worldwide review of relevant experience. NINA Oppdragsmelding, 549, 1–38.
Abstract: Against a background of recovering large carnivore populations in Norway, and many other areas of Europe, it is becoming increasingly important to develop methods to monitor their populations. A variety of parameters can monitored depending on objectives. These parameters include: presence/absense, distribution, population trend indices, minimum counts, statistical estimates of population size, reproductive parameters and health/condition. Three broad categories of monitoring techniques can be recognised each with increasing levels of fieldwork required. The first category includes those techniques that do not require original fieldwork. The second category involves fieldwork, but where individually recognisable carnivores are not available. The third category includes methods where fieldwork has recognisable individuals available. Different mehtods tend to have been used for different species, mainly because of limitations imposed by the different species' ecology. The most precise estimates of population size have been obtained in research projects with relatively small study sites and with the help of radio-telemetry. However, it may be difficult, or impossible, to apply these methods over large monitoring areas. Therefore, in terms of practical management, a combination of minimum counts, supported by an independent index may be more useful than statistical population estimates. All methods should be subject to a careful design process, and power analysis should be conducted to determine the sensitivity of the method to detect changes.
Based on the review of over 200 papers and reports we recommend a package of complementary monitoring methods for brown bear, wolverine, lynx and wolf in Norway. These include the use of observations from the public and reports of predation on livestock to determine broad patterns of distribution, and an index based on hunter observations per hunting day, for all four species. Minimum counts of reproductive units, natal dens, family groups, and packs, should be obtained from snow-tracking for wolverines, lynx and wolves respectively. In addition a track-count index should be obtained for wolverines and lynx. As much data as possible should be obtained of lynx and wolvereines killed in the annual harvest. Brown bears will be difficult to monitor without the use of radio-telemetry, therfore they may require periodic telemetry based, mark-recapture studies. Such a program can easily be constructed within existing central and regional wildlife management structures, but will require extensive involvement from hunters.
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Lama, T. T. (2001). Snow Leopard Conservation Annual Progress Report.
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Jackson, R., & Roe, J. (2002). Preliminary Observations On Non-Invasive Techniques for Identifying Individual Snow Leopards and Monitoring Populations.. Islt: Islt.
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Fox, J. L., & Jackson, R. M. (2002). Blue Sheep and Snow Leopards in Bhutan and Trans-Himalayan Nepal: Recent Status Evaluations and Their Application to Research and Conservation.. Islt: Islt.
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Ming, M., Munkhtsog, B., McCarthy, T., McCarthy, K. (2011). Monitor ing of Population Density of Snow Leopard in X injiang. Journal of Ecology and Rural Environment, 27(1), 79–83.
Abstract: The snow leopard (Uncia uncia) is a very rare species in China. The survey of traces of snow leopard in Kunlun, Altay and Tianshan is them a instep of the Project of Snow Leopard in X injiang supported by the International Snow Leopard Trust ( SLT) and the Xinjiang Conservation Fund (XCF). During the field survey from 2004 to 2010, the Xinjiang Snow Leopard Group ( XSLG) spent about 270 days in over 20 different places, covering over 150 transects totaling nearly 190 km, and found 1- 3 traces per kilometer. The traces of snow leopard recorded include dung, odor, chains of footprints, scraping, paw nail marks, lying mark, fur, urine, bloodstain, leftover of prey corpse, roaring and others. Based on tracer image analyses, the XSLG got to know primarily scopes of the domains, distribution and relative density of the snow leopard in these areas. Then the group began to take infrared photos, conducted survey of food sources of the leopards, investigated fur market and paths of trading, and cases of killing, and carry out civil survey through questionnaire, non government organization community service and research on conflicts between grazing and wild life protection. A total of 36 infrared came ras were laid out, working a total of about 2 094 days or 50 256 hours. A total 71 rolls of film were collected and developed, includ ing 32 clear pictures of snow leopards, thus making up a shooting rate or capture rate of 1.53%. It was ascertained that in Tomur Peak area, there were 5- 8 snow leopards roaming within a range of 250 km2, forming a population density of 2��0- 3��2 per 100 km2. After compar ing the various monitoring results, the advantages and limitations of different monitoring methods have been discussed.
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Han, X. M., D. G., Zhang, E., Jones, M., and Jin, T.. (2001). Far eastern leopard and Siberian tiger conservation measures. (pp. 102–103). Harbin: Widlife Conservation Society.
Abstract: Workshop to develop a recovery plan for the wild north China tiger population. October 20th to 23th, 2000, Harbin.
Like the Siberian Tiger, the Far Eastern Leopard is one of China's largest Felidae and lives mainly in the eastern mountains of Jilin Province. The number of leopards is very low and it is even more endangered than the tiger. There is a very close relationship between leopard and tiger conservation, especially in areas where overlap occurs. In these areas, special emphasis has to be placed on each of the species' specific conservation needs. There is urgent need to step up our efforts to study and monitor leopard populations and to develop a conservation strategy. This document contains information of the status and main threats of the Far Eastern leopard and makes recommendations on needed conservation measures.
Keywords: CCT, conservation, conservation needs, conservation strategy, distribution, Jilin Province, leopard, monitoring, Panthera pardus, Panthera tigris, poaching, recovery, Recovery plan, snow
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Singh, N., Milner-Gulland, E.J. (2010). Monitoring ungulates in Central Asia: current constraints and future potential. Oryx, , 1–12.
Abstract: Asia’s rangelands and mountains are strongholds for several endemic ungulate species. Little is known about the ecology of these species because of the region’s remoteness and the lack of robust scientific studies. Hunting, habitat modification, increased livestock grazing, disease and development are the major threats to the species. There is an urgent need for better monitoring to identify the size, distribution and dynamics of the populations of these species, and the threats to them, for effective conservation. The feasibility of standard scientific monitoring is greatly influenced by the remoteness of the region, the pre-existing scientific ideology, lack of expertise in the latest monitoring
methods and awareness of biases and errors, and low capacity and logistical and financial constraints. We review the existing methods used for monitoring ungulates, identify the practical and institutional challenges to effective monitoring in Central Asia and categorize the methods based on various criteria so that researchers can plan better monitoring studies suited to particular species. We illustrate these issues using examples from several contrasting ungulate species. We recommend that scientific surveys should be complemented by increases in participatory monitoring, involving local people. The future of ungulate monitoring in Central Asia lies in a better recognition of the existing errors and biases in monitoring programmes and methods, allocation of more monitoring effort in terms of manpower, finances and logistics, understanding of robust scientific
methods and sampling theory and changing the scientific culture, as well as a commitment to ensuring that we monitor the things that matter.
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