| Home | << 1 2 3 4 5 6 7 8 9 10 >> [11–20] |
|
Xu, A., Jiang, Z., Li, C., Guo, J., Da, S., Cui, Q., et al. (2008). Status and conservation of the snow leopard Panthera uncia in the Gouli Region, Kunlun Mountains, China (Vol. 42).
Abstract: The elusive snow leopard Panthera unica is a rare and little studied species in China. Over 1 March-15 May 2006 we conducted a survey for the snow leopard in the Gouli Region, East Burhanbuda Mountain, Kunlun Mountains, Qinghai Province, China, in an area of c. 300 km2 at altitudes of 4,000-4,700 m. We surveyed 29 linear transects with a total length of c. 440 km, and located a total of 72 traces (pug marks, scrapes and urine marks) of snow leopard along four of the transects. We obtained eight photographs of snow leopard from four of six camera traps. We also recorded 1,369 blue sheep, 156 Tibetan gazelles, 47 argali, 37 red deer and one male white-lipped deer. We evaluated human attitudes towards snow leopard by interviewing the heads of 27 of the 30 Tibetan households living in the study area. These local people did not consider that snow leopard is the main predator of their livestock, and thus there is little retaliatory killing. Prospects for the conservation of snow leopard in this area therefore appear to be good. We analysed the potential threats to the species and propose the establishment of a protected area for managing snow leopard and the fragile alpine ecosystem of this region. (c) 2008 Fauna & Flora International.
|
|
Ale, S. B., Yonzon, P., & Thapa, K. (2007). Recovery of snow leopard Uncia uncia in Sagarmatha (Mount Everest) National Park, Nepal (Vol. 41).
Abstract: From September to November 2004 we conducted surveys of snow leopard Uncia uncia signs in three major valleys in Sagarmatha (Mount Everest) National Park in Nepal using the Snow Leopard Information Management System, a standardized survey technique for snow leopard research. We walked 24 transects covering c. 14 km and located 33 sites with 56 snow leopard signs, and 17 signs incidentally in other areas. Snow leopards appear to have re-inhabited the Park, following their disappearance c. 40 years ago, apparently following the recovery of Himalayan tahr Hemitragus jemlahicus and musk deer Moschus chrysogaster populations. Taken together the locations of all 73 recent snow leopard signs indicate that the species is using predominantly grazing land and shrubland/ open forest at elevations of 3,000-5,000 m, habitat types that are also used by domestic and wild ungulates. Sagarmatha is the homeland of c. 3,500 Buddhist Sherpas with .3,000 livestock. Along with tourism and associated developments in Sagarmatha, traditional land use practices could be used to ensure coexistence of livestock and wildlife, including the recovering snow leopards, and ensure the wellbeing of the Sherpas.
Keywords: Nepal; recovery; Sagarmatha Mount Everest National Park; snow leopard; Uncia uncia; surveys; survey; snow; snow-leopard; leopard; uncia; Uncia-uncia; valley; Sagarmatha; national; national park; National-park; park; using; information; management; system; research; transects; transect; sign; areas; area; snow leopards; snow-leopards; leopards; 40; Himalayan; tahr; musk; musk-deer; deer; location; recent; species; grazing; land; Forest; habitat; domestic; wild; ungulates; ungulate; livestock; tourism; development; traditional; land use; land-use; use; wildlife
|
|
Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. (2023). Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies. Global Ecology & Conservation, 41(e02350), 1–13.
Abstract: Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.
|
|
Mishra, C., Madhusudan, M. D., & Datta, A. (2006). Mammals of the high altitudes of western Arunachal Pradesh, eastern Himalaya: an assessment of threats and conservation needs (Vol. 40).
Abstract: The high altitudes of Arunachal Pradesh,India, located in the Eastern Himalaya biodiversity hotspot, remain zoologically unexplored and unprotected. We report results of recent mammal surveys in the high altitude habitats of western Arunachal Pradesh. A total of 35 mammal species (including 12 carnivores, 10 ungulates and 5 primates) were recorded, of which 13 are categorized as Endangered or Vulnerable on the IUCN Red List. One species of primate, the Arunachal macaque Macaca munzala, is new to science and the Chinese goral Nemorhaedus caudatus is a new addition to the ungulate fauna of the Indian subcontinent. We documented peoples' dependence on natural resources for grazing and extraction of timber and medicinal plants. The region's mammals are threatened by widespread hunting. The snow leopard Uncia uncia and dhole Cuon alpinus are also persecuted in retaliation for livestock depredation. The tiger Panthera tigris, earlier reported from the lower valleys, is now apparently extinct there, and range reductions over the last two decades are reported for bharal Pseudois nayaur and musk deer Moschus sp.. Based on mammal species richness, extent of high altitude habitat, and levels of anthropogenic disturbance, we identified a potential site for the creation of Arunachal's first high altitude wildlife reserve (815 km2). Community-based efforts that provide incentives for conservation-friendly practices could work in this area, and conservation awareness programmes are required, not just amongst the local communities and schools but for politicians, bureaucrats and the army.
Keywords: anthropogenic; area; Arunachal; assessment; awareness; bharal; biodiversity; carnivore; carnivores; community; community-based; conservation; deer; depredation; dhole; endangered; extinct; fauna; goral; grazing; habitat; habitats; High; Himalaya; hunting; incentives; India; indian; Iucn; leopard; livestock; livestock-depredation; livestock depredation; local; mammals; musk; musk-deer; nayaur; panthera; people; peoples; plant; plants; potential; Pseudois; Pseudois-nayaur; pseudois nayaur; range; recent; region; Report; reserve; resource; schools; snow; snow-leopard; snow leopard; species; survey; surveys; threat; threatened; threats; tiger; uncia; Uncia-uncia; Uncia uncia; ungulate; ungulates; valley; wildlife; work; Panthera-tigris; tigris
|
|
Espinosa-Aviles, D., Taylor, M. L., Del Rocio Reyes-Montes, M., & Pe'rez-Torrez, A. (2008). Molecular findings of disseminated histoplasmosis in two captive snow leopards (Uncia uncia) (Vol. 39).
Abstract: This paper reports two cases of disseminated histoplasmosis in captive snow leopards (Uncia uncia). Histoplasmosis was diagnosed based on histopathology, immunohistochemistry, transmission electron microscopy, and molecular findings.
Keywords: captive; histoplasmosis; Immunohistochemistry; Molecular; snow leopard; Uncia uncia
|
|
Namgail, T., Fox, J., & Bhatnagar, Y. (2007). Carnivore-Caused Livestock Mortality in Trans-Himalaya (Vol. 39).
Abstract: The loss of livestock to wild predators is an important livelihood concern among Trans-Himalayan pastoralists. Because of the remoteness and inaccessibility of the region, few studies have been carried out to quantify livestock depredation by wild predators. In the present study, we assessed the intensity of livestock depredation by snow leopard Uncia uncia, Tibetan wolf Canis lupus chanku, and Eurasian lynx Lynx l. isabellina in three villages, namely Gya, Rumtse, and Sasoma, within the proposed Gya-Miru Wildlife Sanctuary in Ladakh, India. The three villages reported losses of 295 animals to these carnivores during a period of 2.5 years ending in early 2003, which represents an annual loss rate of 2.9% of their livestock holdings. The Tibetan wolf was the most important predator, accounting for 60% of the total livestock loss because of predation, followed by snow leopard (38%) and lynx (2%). Domestic goat was the major victim (32%), followed by sheep (30%), yak (15%), and horse (13%). Wolves killed horses significantly more and goats less than would be expected from their relative abundance. Snow leopards also killed horses significantly more than expected, whereas they killed other livestock types in proportion to their abundance. The three villages combined incurred an estimated annual monetary loss of approximately $USD 12,120 amounting to approximately $USD 190/household/y. This relatively high total annual loss occurred primarily because of depredation of the most valuable livestock types such as yak and horse. Conservation actions should initially attempt to target decrease of predation on these large and valuable livestock species.
Keywords: Gya-Miru; livestock depredation; Lynx; snow leopard; trans-himalaya; wolf
|
|
Mallon, D. (2003). An early record of snow leopard in Myanmar. Cat News, 39(Autumn), 24.
|
|
Mishra, C., & Fitzherbert, A. (2004). War and wildlife: a post-conflict assessment of Afghanistan's Wakhan Corridor. Oryx, 38(1), 102–105.
Abstract: Prior to the last two decades of conflict, Afghanistan's Wakhan Corridor was considered an important area for conservation of the wildlife of high altitudes. We conducted an assessment of the status of large mammals in Wakhan after 22 years of conflict, and also made a preliminary assessment of wildlife trade
in the markets of Kabul, Faizabad and Ishkashem. The survey confirmed the continued occurrence of at least eight species of large mammals in Wakhan, of which the snow leopard Uncia uncia and Marco Polo sheep Ovis ammon are globally threatened. We found evidence of human-wildlife conflict in Wakhan due to livestock depredation by snow leopard and wolf Canis lupus. Large mammals are hunted for meat, sport, fur, and in retaliation against livestock depredation. The fur trade in Kabul is a threat to the snow leopard, wolf, lynx Lynx lynx and common leopard Panthera pardus. Keywords: Afghanistan; fur trade; human-wildlife conflict; hunting; Lynx; marco polo sheep; snow leopard; Wakhan; wolf; 5270
|
|
Hussain, S. (2003). The status of the snow leopard in Pakistan and its conflict with local farmers (Vol. 37).
Abstract: Between 1998 and 2001 I carried out surveys in four areas in the Baltistan district of the Northern Areas of Pakistan to estimate the population of the snow leopard and to examine the threats to its future conservation. I estimate that a total of 36-50 snow leopards are present in the areas surveyed. Based on the availability of suitable snow leopard habitat and of its prey species, I estimate that 90-120 snow leopards are potentially present in Baltistan and 300-420 throughout its range within Pakistan's borders. Although this estimate is higher than extrapolations based on earlier surveys, the long-term future of the snow leopard is under threat. This is mainly due to retaliatory killings by farmers, and poaching for pelts and other body parts. Species-focused conservation policies, particularly those targeting ungulates for the promotion of trophy hunting, may constitute an additional threat to snow leopard conservation in the region. However, all forms of threats to the snow leopard in Baltistan appear to emanate from the relatively poor economic conditions of the local people.
|
|
Anonymous. (2001). Snow leopard conservation: a NABU project in Kyrgyzstan. Oryx, 35(4), 354–355.
Abstract: Since 1999, NABU, the German Society for Nature Conservation, has been organizing the conservation of snow leopards Uncia uncia in Kyrgyzstan in an international project in cooperation with the Kyrgyz Ministry of the Environment, Emergencies and Civil Defence and the Kyrgyz Ministry of the Interior. The animal, with its typical grey-beige patterned fur and bushy tail, is one of the most endangered big cats in the world. It is categorized as Endangered on the 2000 IUCN Red List and is on CITES Appendix I.
Keywords: snow leopard; conservation; Kyrgyzstan; Nabu; endangered; illegal hunting; 5180
|