Prakash, I. (1985). Asian predators of livestock. Parasites, pests and predators.World animal science, B2, 405–410.
Abstract: Outlines the distribution, status and predatory behaviour on livestock of Chinese alligator Alligator sinensis, gharial Gavialis gangeticus and several species of Crocodylus and Python; and of wolf Canis lupus, Asiatic jackal C. aureus, dhole (Indian wild dog) Cuon alpinus, brown bear Ursus arctos, Asiatic black bear Selenarctos thibetanus, striped hyaena Hyaena hyaena, clouded leopard Neofelis nebulosa, leopard (panther) Panthera pardus, tiger P. tigris, lion P. leo, snow leopard P. uncia, other Felidae and Viverridae. -P.J.Jarvis
|
Prasad, S. N., Chundawat, R. S., Hunter, D. O., Panwar, H. S., & Rawat, G. S. (1991). Remote sensing snow leopard habitat in the trans-Himalaya of India using spatial models and satellite imagery preliminary results. In G. J. Buhyoff (Ed.), (pp. 519–523).
Abstract: The snow leopard (Panthera uncia) is a flagship species for conservation in the high mountain regions of central Asia. Data on snow leopard predation, habitat conditions and range of main prey species were gathered along with thematic maps of the study area for elevation, snow cover, sighting data, kill data, blue sheep use areas, and vegetation data. These data were entered into a GIS and used to help delineate surface features from a satellite image. Preliminary results show that general physiographic features of snow leopard habitat can be detected using satellite imagery and that GIS cartographic modeling techniques can improve this delineation. -from Authors
|
Raghavan, B., Bhatnagar, Y., & Qureshi, Q. (2003). Interactions between livestock and Ladakh urial (Ovis vignei vignei); final report.
Abstract: The Ladakh urial (Ovis vignei vignei) is a highly endangered animal (IUCN Red List 2000) listed in the Appendix 1 of CITES and Schedule 1 of the Indian Wildlife Protection Act 1972. Its numbers had been reduced to a few hundred individuals in the 1960s and 70s through hunting for trophies and meat (Fox et al. 1991, Mallon 1983, Chundawat and Qureshi 1999, IUCN Red List 2000). However, with the protection bestowed by the IWPA 1972, and resultant decrease in hunting, the population seems to have shown a marginal increase to about 1000-1500 individuals in its range in Ladakh (Chundawat and Qureshi 1999, IUCN Red List 2000). Although the species had in the past, been able to coexist with the predominantly Buddhist society of Ladakh, the recent increase in the population of both humans and their livestock has placed immense pressures on its habitat (Shackleton 1997, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). This is especially important considering that the Ladakh urial habitat coincides with the areas of maximum human activity in terms of settlements, agriculture, pastoralism and development, in Ladakh (Fox et al. 1991, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). Increased developmental activities such as construction of roads, dams, and military bases in these areas have also increased the access to their habitat. This has consequently made the species more vulnerable to the threats of poaching and habitat destruction (Fox et al. 1991, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2002). Pressure from increased livestock grazing is one of the major threats faced by the species today (Shackleton 1997, Fox et al. 1991, Mallon 1983, IUCN Red List 2000 Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). In the impoverished habitat provided by the Trans-Himalayas, there is great competition for the scarce resources between various animal species surviving here (Fox 1996, Mishra 2001). The presence of livestock intensifies this competition and can either force the species out of its niche (competitive exclusion) by displacing it from that area or resource, or lead to partitioning of resources between the species, spatially or temporally, for coexistence (Begon et al. 1986, Gause 1934).
|
Raj, R. D. (1999). A Green Chief Minister in a Green State.
Abstract: As chief minister of the Indian state of Sikkim, Pawan Kumar Chamling has the onerous job of protecting one of the hottest biodiversity properties in the world. Chamling has been more than equal to the task. Last month, he earned the title of “greenest chief minister” of India's 22 federal states for policies that range from banning plastic bags to cancelling a major hydro-electric project.
|
Rana, B. S. (1997). Distinguishing kills of two large mammalian predators in Spiti Valley Himachal Pradesh. J.Bombay Nat.Hist.Soc, 94(3), 553.
Abstract: The author studied livestock killed by predators in the Spiti Valley, India, to determine what species had killed yaks, horses, donkeys, and other domestic animals. Eleven of the kills examined were made by snow leopards and six by the Tibetan wolf. Wolves were involved in surplus killings, while snow leopards kill as food is needed. lgh
|
Reed-Smith, J., & Kumpf, M. (1998). Snow leopards (Uncia uncia): family group management alternatives. Anim.Keepers' Forum, 25(10), 386–391.
Abstract: The authors offer insights into creating family groups of snow leopards in zoos. The programs at the Denver Zoo, Denver, Colorado, and at John Ball Zoological Gardens, Grand Rapids, Michigan, are highlighted. lgh.
|
|
Rieger, I. (1978). Scent marking behaviour of ounces, Uncia uncia. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 1 (Vol. 1, pp. 78–103). Helsinki: Helsinki Zoo.
|
|
Rieger, I. (1980). Some aspects of the history of ounce knowledge. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 2 (Vol. 2, pp. 1–36). Helsinki: Helsinki Zoo.
|
|
Rieger, I. (1982). Breeding ounces, Uncia uncia (Schreber, 1775) in zoological gardens. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 3 (Vol. 3, pp. 49–50). Helsinki: Helsinki Zoo.
|
Riordan, P. (1998). Unsupervised recognition of individual tigers and snow leopards from their footprints (Vol. 1).
Abstract: This study presents the testing of two unsupervised classification methods for their ability to accurately identify unknown individual tigers, Panthera tigris, and snow leopards, Panthera uncia, from their footprints. A neural-network based method, the Kohonen self-organizing map (SOM), and a Bayesian method, AutoClass, were assessed using hind footprints taken from captive animals under standardized conditions. AutoClass successfully discriminated individuals of both species from their footprints. Classification accuracy was greatest for tigers, with more misclassification of individuals occurring for snow leopards. Examination of variable influence on class formations failed to identify consistently influential measurements for either species. The self-organizing map did not provide accurate classification of individuals for either species. Results were not substantially improved by altering map dimensions nor by using principal components derived from the original data. The interpretation of resulting classifications and the importance of using such techniques in the study of wild animal populations are discussed. The need for further testing in the field is highlighted.
|
