Abstract: Abstract: The National Fish and Wildlife Foundation (NFWF) which is a conservation organization created in 1984 aims to conserve the species on an international context before they are endangered which will enable a more effective conservation procedure. The NFWF has addressed the causes of endangered species in India and South Asia such as the tiger, Indian wolf and the snow leopard and has supported the conservation efforts of the Siberian tiger. It has cooperated with multi-national organizations to evaluate the best strategy that could be adopted to prevent a future extinction of several species and has supported CITES programs

Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.

Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.

Abstract: As drivers of terrestrial ecosystems, humans have replaced large carnivores in most areas, and
human influence not only exerts striking ecological pressures on biodiversity at local scales but also has
indirect effects in distant corners of the world. We suggest that the multibillion dollar cashmere industry
creates economic motivations that link western fashion preferences for cashmere to land use in Central
Asia. This penchant for stylish clothing, in turn, encourages herders to increase livestock production which
affects persistence of over 6 endangered large mammals in these remote, arid ecosystems. We hypothesized
that global trade in cashmere has strong negative effects on native large mammals of deserts and grassland
where cashmere-producing goats are raised. We used time series data, ecological snapshots of the biomass
of native and domestic ungulates, and ecologically and behaviorally based fieldwork to test our hypothesis.
In Mongolia increases in domestic goat production were associated with a 3-fold increase in local profits for
herders coexisting with endangered saiga (Saiga tatarica). That increasing domestic grazing pressure carries
fitness consequences was inferred on the basis of an approximately 4-fold difference in juvenile recruitment among blue sheep (Pseudois nayaur) in trans-Himalayan India. Across 7 study areas in Mongolia, India, and China’s Tibetan Plateau, native ungulate biomass is now <5% that of domestic species. Such trends suggest ecosystem degradation and decreased capacity for the persistence of native species, including at least 8 Asian endemic species: saiga, chiru (Pantholops hodgsoni), Bactrian camel (Camelus bactrianus), snow leopard (Panthera uncia), khulan (Equus hemionus), kiang (E. kiang), takhi (E. przewalski), and wild yak (Bos mutus). Our results suggest striking yet indirect and unintended actions that link trophic-level effects to markets induced by the trade for cashmere.