| Home | [1–10] << 11 12 13 14 15 16 17 18 19 20 >> [21–30] |
|
Murali, R., Lkhagvajav, P., Saeed, U., Kizi, V. A., Nawaz, M. A., Bhatnagar, Y. V., Sharma, K., Mishra, C. (2017). VALUATION OF ECOSYSTEM SERVICES IN SNOW LEOPARD LANDSCAPES OF ASIA.
Abstract: Snow leopards occur in Asia�s high mountain ranges of the Himalayas, Hindu Kush, Karakoram, Pamir, Tien Shan, Kunlun, Altai and Sayan. In all the 12 countries where they occur, snow leopards face intensifying threats to their survival, including habitat fragmentation and degradation due to increasing human populations, mining and developmental projects, poaching and illegal wildlife trade, weak law enforcement, inadequate involvement of local people in conservation efforts, and depletion of natural prey populations due to hunting by people and overgrazing by livestock.
To address the urgent needs of conservation of the snow leopard and the sustainable development of mountain peoples, the Governments of snow leopard range countries came together and agreed to invest efforts to conserve snow leopards in 23 large landscapes across its range under the Global Snow Leopard Ecosystem Protection Program (GSLEP). These landscapes where the snow leopards occur are inhabited by agro-pastoral and pastoral peoples who depend on well functioning ecosystems for ecosystem services, i.e., the benefits that humans derive from nature. Many threats that impact snow leopards also impact the well-being of people living in these landscapes. However, till date, there have been no studies that have attempted to quantify peoples� dependence on ecosystem services in snow leopard landscapes, or understand the impacts that alternate land-use decisions such as mining or infrastructure can have on the ecosystem services and on the local people who are dependent on them. In this report, we provide the first assessment of the economic value of provisioning ecosystem services � the material goods from ecosystems � used by local people in five study sites from four GSLEP landscapes: Spiti Valley and Changtang region of Ladakh in India�s Hemis-Spiti Landscape, Gurez Valley in the Himalayan Landscape of Pakistan, Tost Nature Reserve in the South Gobi Landscape of Mongolia, and the Sarychat region in the Central Tien Shan Landscape of Kyrgyzstan. In study sites that had both pastoral and agro-pastoral communities, we estimated ecosystem services separately for the two production systems.The average value (± SE) of ecosystem services per household amongst the agro-pastoral communities of Gurez Valley (4125 ± 190 USD/HH/yr) was 2.5 times the average local household income. In the agro-pastoral communities of Spiti Valley (3964 ± 334.8 USD/HH/yr) it was 3.6 times the average local household income, while it was 3.7 times amongst the agro-pastoral communities of Changtang (15083 ± 1656 USD/HH/yr). Amongst the pastoral communities, the value of ecosystem services used by households was several times higher than the average household income: it was 26.1 times amongst the pastoral communities of Changtang (79303 ± 9204 USD HH/yr), 38.7 times among communities in Tost Nature Reserve (150100 ± 13290 USD/HH/yr), and 7.4 times among the pastoral communities of Sarychat (25473 ± 5236 USD/HH/yr). It was lower, although still substantial at 0.6 times, for the downstream agro-pastoral communities living outside the landscape boundary in Sarychat (2094 ± 189 USD/HH/yr). Our work reveals substantially high levels of dependence of local communities on ecosystem services provided by snow leopard landscapes of Asia. The estimated economic value of provisioning ecosystem services used by human households in these landscapes ranged from 0.6 to up to 40 times the local annual household incomes. This economic support that nature provides people is critical for humanity but remains hidden and unaccounted for. Land use change decisions, especially those that are damaging for nature and biodiversity, must start accounting for the value of ecosystem services in their cost-benefit analyses. |
|
Ghoshal, A. (2017). Snow Leopard Ecology and Conservation Issues in India. Resonance, , 677–690.
Abstract: Snow leopard, an elusive mammal species of the cat family,
is the top-predator of the Central and South Asian, highaltitude ecosystem. Snow leopards occur at low densities across the Central Asian mountains and the Indian Himalayan region. Owing to their secretive nature and inaccessible habitat, little is known about its ecology and distribution. Due to its endangered status and high aesthetic value, the snow leopard is considered as an �umbrella species� for wildlife conservation in the Indian Himalayas. This article summarizes the current knowledge on snow leopard ecology and conservation issues in the Indian context. |
|
Mei, S., Alexander, J. S., Zhao, X., Cheng, C., Lu, Z. (2018). Common leopard and snow leopard co-existence in Sanjiangyuan,Qinghai, China. Cat News, (67), 18–20.
Abstract: The snow leopard Panthera uncia, classified as Vulnerable by the IUCN, is distributed
across the mountainous areas of 12 countries in South and Central Asia. The common leopard Panthera pardus, also classified as Vulnerable by the IUCN, has the widest geographic distribution among all wild cats and inhabits many countries of Africa and Asia. The common leopard is much bigger than the snow leopard. Sightings of both species in the same location have recently been reported from the Autonomous Region of Tibet and Sichuan, China. We conducted a camera trap survey to verify the presence of these large carnivores using camera traps in Niandu and Yunta villages of Qinghai province, China. In both areas camera trap stations captured both species, identifying seven adult snow leopard and four adult common leopard individuals. Our study provides the first photographic evidence of common leopard presence in Qinghai province and confirms the co-existence of snow leopards and common leopards in the Sanjiangyuan National Nature Reserve. A more detailed study will be conducted to investigate the distribution and interaction of the two species along Tongtianhe and Zhaqu rivers, Qinghai province, in order to enhance efforts for their long-term conservation. |
|
Shrestha, B., Aihartza, J., Kindlmann. (2018). Diet and prey selection by snow leopards in the Nepalese Himalayas. PLoS ONE, , 1–18.
Abstract: Visual attractiveness and rarity often results in large carnivores being adopted as flagship
species for stimulating conservation awareness. Their hunting behaviour and prey selection can affect the population dynamics of their prey, which in turn affects the population dynamics of these large carnivores. Therefore, our understanding of their trophic ecology and foraging strategies is important for predicting their population dynamics and consequently for developing effective conservation programs. Here we concentrate on an endangered species of carnivores, the snow leopard, in the Himalayas. Most previous studies on snow leopard diet lack information on prey availability and/or did not genetically check, whether the identification of snow leopard scats is correct, as their scats are similar to those of other carnivores. We studied the prey of snow leopard in three Himalayan regions in Nepal (Sagarmatha National Park (SNP), Lower Mustang (LM) and Upper Manang (UM) in the Annapurna Conservation Area, during winter and summer in 2014�2016. We collected 268 scats along 139.3 km linear transects, of which 122 were genetically confirmed to belong to snow leopard. Their diet was identified by comparing hairs in scats with our reference collection of the hairs of potential prey. We determined prey availability using 32�48 camera-traps and 4,567 trap nights. In the SNP, the most frequent prey in snow leopard faeces was the Himalayan tahr in both winter and summer. In LM and UM, its main prey was blue sheep in winter, but yak and goat in summer. In terms of relative biomass consumed, yak was the main prey everywhere in both seasons. Snow leopard preferred large prey and avoided small prey in summer but not in winter, with regional differences. It preferred domestic to wild prey only in winter, and in SNP. Unlike most other studies carried out in the same area, our study uses genetic methods for identifying the source of the scat. Studies solely based on visual identification of samples may be strongly biased. Diet studies based on frequency of occurrence of prey tend to overestimate the importance of small prey, which may be consumed more often, but contribute less energy than large prey. However, even assessments based on prey biomass are unlikely to be accurate as we do not know whether the actual size of the prey consumed corresponds to the average size used to calculate the biomass eaten. For example, large adults may be too difficult to catch and therefore mostly young animals are consumed, whose weight is much lower. We show that snow leopard consumes a diverse range of prey, which varies both regionally and seasonally. We conclude that in order to conserve snow leopards it is also necessary to conserve its main wild species of prey, which will reduce the incidence of losses of livestock. |
|
Janjua, S., Peters, J. L., Weckworth, B., Abbas, F. I., Bahn, Volker, Johansson, O., Rooney, T.P. (2019). Improving our conservation genetic toolkit: ddRAD-seq for SNPs in snow leopards. Conservation Genetic Resource, .
Abstract: Snow leopards (Panthera uncia) are an enigmatic, high-altitude species whose challenging habitat, low population densities
and patchy distribution have presented challenges for scientists studying its biology, population structure, and genetics. Molecular scatology brings a new hope for conservation efforts by providing valuable insights about snow leopards, including their distribution, population densities, connectivity, habitat use, and population structure for assigning conservation units. However, traditional amplification of microsatellites from non-invasive sources of DNA are accompanied by significant genotyping errors due to low DNA yield and poor quality. These errors can lead to incorrect inferences in the number of individuals and estimates of genetic diversity. Next generation technologies have revolutionized the depth of information we can get from a species' genome. Here we used double digest restriction-site associated DNA sequencing (ddRAD-seq), a well-established technique for studying non-model organisms, to develop a reference sequence library for snow leopards using blood samples from five Mongolian individuals. Our final data set reveals 4504 loci with a median size range of 221 bp. We identified 697 SNPs and low nucleotide diversity (0.00032) within these loci. However, the probability that two random individuals will share identical genotypes is about 10-168. We developed probes for DNA capture using this sequence library which can now be used for genotyping individuals from scat samples. Genetic data from ddRAD-seq will be invaluable for conducting population and landscape scale studies that can inform snow leopard conservation strategies. |
|
Farhadinia, M. S., Maheshwari, A., Nawaz, M. A., Ambarli, H., Gritsina, M. A., Koshkin, M. A., Rosen, T., Hinsley, A., Macdonald, D. W. (2019). Belt and Road Initiative may create new supplies for illegal wildlife trade in large carnivores.
|
|
Garget, J. Living with a predator.
Abstract: Why understanding local attitudes is vital for successful snow leopard conservation.
Published in the University of Cambridge Website. |
|
Hanson, J. H., Schutgens, M., Leader-Williams, N. (2019). What factors best explain attitudes to snow leopards in the Nepal Himalayas? PLoS ONE, , 1–19.
Abstract: The snow leopard Panthera uncia is a vulnerable wild felid native to mountainous regions of 12 Asian countries. It faces numerous overlapping threats, including killings by herders retaliating against livestock losses, the illegal wildlife trade, loss of prey and habitat, infra- structure, energy and mining developments, and climate change. The species ranges over large territories that often lie outside of protected areas (PA), so coexistence with human populations across its range is key to its persistence. Human attitudes to snow leopards may be an important factor to consider in reducing overlapping threats to this species. How- ever, this nexus has not been widely studied to date. Attitudes to snow leopard conserva- tion, including actors and interventions, may also be a significant aspect of coexistence. These have also received limited empirical attention. This study therefore explored human attitudes to snow leopards and to snow leopard conservation, the motivations for these atti- tudes and the individual factors that best explained them. Using systematic sampling, a quantitative questionnaire was administered to 705 households at two sites in the Nepal Himalayas: Sagarmatha National Park, with a less decentralised governance model, and Annapurna Conservation Area, with a more decentralised model. Linear regression models were the main form of analysis. Based on these, attitudes to snow leopard conservation emerged as the strongest influence on local attitudes to snow leopards, and vice versa. This was true in both PAs, despite their differing management regimes. Other important explana- tory factors included numbers of livestock owned, years of education, household livelihoods and age. Furthermore, a positive intrinsic motivation was the most common reason given by respondents to explain their attitudes to both snow leopards and snow leopard conservation. These findings demonstrate that, in addition to the usual suite of factors that influence atti- tudes to a species, the way in which its conservation is pursued and perceived also needs consideration. How the snow leopard is conserved may strongly influence its coexistence with local communities.
|
|
Planning Wildlife Conservation in Leh and Kargil Districts of Ladakh, J. and K. (1999). Establising Snow Leopard Information Management System (SLIMS) at WII Phase 1 – Trans Himalaya.
|
|
Johansson, O., Samelius, G., Wikberg, E, Chapron, G., Mishra, C., Low, M. (2020). Identification errors in camera- trap studies result in systematic population overestimation. Scientific Reports, 10(6393), 1–10.
Abstract: Reliable assessments of animal abundance are key for successful conservation of endangered species. For elusive animals with individually-unique markings, camera-trap surveys are a benchmark standard for estimating local and global population abundance. Central to the reliability of resulting abundance estimates is the assumption that individuals are accurately identified from photographic captures. To quantify the risk of individual misidentification and its impact on population abundance estimates we performed an experiment under controlled conditions in which 16 captive snow leopards (Panthera uncia) were camera-trapped on 40 occasions and eight observers independently identified individuals and recaptures. Observers misclassified 12.5% of all capture occasions, resulting in systematically inflated population abundance estimates on average by one third (mean ± SD = 35 ± 21%). Our results show that identifying individually-unique individuals from camera-trap photos may not be as reliable as previously believed, implying that elusive and endangered species could be less abundant than current estimates indicate.
|