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Graham, L. H., Goodrowe, K. L., Raeside, J. I., & Liptrap, R. M. (1995). Non-invasive monitoring of ovarian function in several felid species by measurement of fecal estradiol-17-beta and progestins. Zoo Biology, 14(3), 223–237.
Abstract: An extraction and assay procedure to measure fecal estradiol-17-beta and progestin concentrations in several cat species was developed and validated for use for noninvasive monitoring of ovarian function. Fecal samples were collected over a range of 3-20 months from female tigers (three), lions (three), snow leopards (three), cheetahs (two), caracals (two), and domestic cats (five). Samples were extracted with 90% methanol, lipids removed with petroleum ether, and the estradiol and progestins in the methanol measured by radioimmunoassay (RIA). High Performance Liquid Chromatography (HPLC) fractionation and subsequent RIA of the fractions indicated that the estradiol-17-beta antiserum cross-reacted primarily with estradiol-17-beta in the feces of lions and tigers and was assumed to be specific for estradiol-17-beta in the feces of other species as well. However, there were several immunoreactive compounds, presumably progesterone metabolites, excreted in the feces which varied both quantitatively and qualitatively among species. The behavior of tigers, lions, cheetahs, and caracals was visually monitored during the collection period and frequency of sexual behaviors was positively correlated with increases in fecal estradiol in all species observed. The mean fecal estradiol-17-beta peaks were as follows: tigers, 128.0 +- 13.1; lions, 186.0 +- 14.8; snow leopards, 136.7 +- 15.9; cheetahs, 140.9 +- 9.0; caracals, 24.5 +- 4.0; and domestic cats 158.9 +- 19.3 ng/gm. Fecal progestin concentrations rose significantly (P lt 0,001) only after breeding or during pregnancy and were as follows: tigers, 5.6 +- 0.6; lions, 1.9 +- 0.1; cheetahs, 8.4 +- 1.1; and caracals, 2.4 +- 0.4 mu-g/gm. Fecal progestins were elevated for one-half to two-thirds of the gestation length during presumed pseudopregnancy but remained elevated throughout successful pregnancies. These results suggest that ovarian function can be monitored noninvasively in the family Felidae by the measurement of fecal estradiol-17-beta and progestin concentrations.
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Gronberg, E. (2011). Movement patterns of snow leopard (Panthera uncia) around kills based on GPS location clusters. Master's thesis, , .
Abstract: Research concerning movement patterns of wild animals has been advancing since GPS technology arrived. But studying the snow leopard (Panthera uncia) is still difficult because of the harsh territory it inhabits in Central Asia. This study took place in south Gobi, Mongolia, and aimed to estimate the time spent at kills and the maximum distance away from kills between visits. Snow leopards were monitored with GPS collars that took a location every five or seven hours. Potential kill sites were established by identifying clusters of GPS-locations in ArcGIS and visited in the field for confirmation. ArcGIS was used to calculate the distance between cluster and GPS-locations. I used two buffer zones (100 m and 500 m radius) to define the time snow leopards spent at kills. It was found that snow leopard age and prey category affected time spent at kills and also that snow leopard sex together with prey category affected the maximum distance moved away from kills between visits. Season had no significant effect on either time at kills or distance moved away from kills between visits. Snow leopards spent on average 3.2 days at their kills in the 100 m buffer zone and 3.5 days at their kills in the 500 m buffer zone. Subadults stayed longer at kills than adults and animals of both age categories spent longer time on larger prey. The mean maximum distance moved away from kills between visits was 179 m in the 100 m buffer zone and 252 m in the 500 m buffer zone. Female snow leopards moved further away from kills between visits than male snow leopards. Both the number of days spent on kills and maximum distance moved away from kills between visits increased when kills consisted of more than one animal. This study has provided some basic information on snow leopard behaviors around their kills but also highlights the need to monitor more snow leopards before more solid conclusions can be drawn as this study was based on based on a relatively small sample.
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Gruisen, J. V. (1993). Interaction Between Wild Dogs and Snow Leopards in Ladakh (Vol. xi). Seattle: Islt.
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Guerrero, D. (1998). Animal behavior concerns & solutions: snow leopard (Uncia uncia) evaluation, zoo. Anim.Keepers' Forum, 25(2), 56–58.
Abstract: The author offers advice on how a captive-raised snow leopard cub could be acclimated to humans so it could be used as a zoo “ambassador”. The cub had negative experiences with humans and lacked socialization with other animals and conspecifics. Methods of avoiding and redirecting the cub's aggressive behavior are suggested. lgh.
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Hansen, J. (1980). The snow leopard study, part one.
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Hillard, D. (1985). Update on the Himalayan Snow Leopard Project (Vol. No. 8). Seattle: Islt.
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Hunter, D. (1996). Mongolian-American Snow Leopard Project (Vol. xiv). Seattle: International Snow Leopard Trust.
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Ishunin G.I. (1961). Irbis, or snow leopard Felis (Uncia) uncia S¤hr†b†a 1778 (Vol. Vol. 3.).
Abstract: It describes diagnostic signs and taxonomy of snow leopard as well as its distribution, behavioral patterns and use in Uzbekistan. This predator inhabits the Ugam, Pskem, Chatkal, Turkistan, and Gissar ridges. It mainly preys on ibex, and marmots, vole-mouse, and snow-cocks. Sometimes it attacks domestic sheep. Snow leopard is of low commercial value. The cost of skin is 4 roubles 70 kopecks. Only a few skins are purchased.
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Jack, Jill, Jackson, P., Wharton, D., & Jackson, R. Snow leopard, Ucia uncia.
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Jackson, R. (2000). The Snow Leopard Conservancy, Dedicated to demonstrating innovative, grassroots measures that lead local shepherds to become better stewards of the endangered snow leopard, its prey and habitat.
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