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Mammalian carnivores are key to our understanding of ecosystem dynamics, but most of them are threatened with extinction all over the world. Conservating large carnivores is often an arduous task considering the complex relationship between humans and carnivores, and the diverse range and reasons of threats they face. Climate change is exacerbating the situation further by interacting with most existing threats and amplifying their impacts. The Mountains of Central and South Asia are warming twice as rapidly as the rest of the northern hemisphere. There has been limited research on the effect of climate change and other variables on large carnivores. We studied the patterns in spatio-temporal distribution of three sympatric carnivores, common leopard, snow leopard, and Asiatic black bear in Kishtwar high altitude National Park, a protected area in the Great Himalayan region of Jammu and Kashmir. We investigated the effects of key habitat characteristics as well as human disturbance and climatic factors to understand the spatio-temporal change in their distributions between the early 1990s and around the year 2016–2017. We found a marked contraction in the distribution of the three carnivores between the two time periods. While snow leopard shifted upwards and further away from human settlements, common leopard and Asiatic black bear suffered higher rates of local extinctions at higher altitudes and shifted to lower areas with more vegetation, even if that brought them closer to settlements. We also found some evidence that snow leopards were less likely to have faced range contraction in areas with permanent glaciers. Our study underscores the importance of climate adaptive conservation practices for long-term management in the Greater Himalaya, including the monitoring of changes in habitat, and space-use patterns by human communities and wildlife. [ABSTRACT FROM AUTHOR]

Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives: We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance. Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance. Results: Genetically optimized models always outperformed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges. Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning. [ABSTRACT FROM AUTHOR]

All species of big cats, including tigers, cheetahs, leopards, lions, snow leopards, and jaguars, are protected under the Convention on the International Trade in Endangered Species (CITES). This is due in large part to population declines resulting from anthropogenic factors, especially poaching and the unregulated and illegal trade in pelts, bones, teeth and other products that are derived from these iconic species. To enhance and scale up monitoring for big cat products in this trade, we created a rapid multiplex qPCR test that can identify and differentiate DNA from tiger (Panthera tigris), cheetah (Acinonyx jubatus), leopard (Panthera pardus), lion (Panthera leo), snow leopard (Panthera uncia), and jaguar (Panthera onca) in wildlife products using melt curve analysis to identify each species by its unique melt peak temperature. Our results showed high PCR efficiency (> 90%), sensitivity (detection limit of 5 copies of DNA per PCR reaction) and specificity (no cross amplification between each of the 6 big cat species). When paired with a rapid (< 1 h) DNA extraction protocol that amplifies DNA from bone, teeth, and preserved skin, total test time is less than three hours. This test can be used as a screening method to improve our understanding of the scale and scope of the illegal trade in big cats and aid in the enforcement of international regulations that govern the trade in wildlife and wildlife products, both ultimately benefiting the conservation of these species worldwide. [ABSTRACT FROM AUTHOR]

Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard (Panthera uncia). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China. [ABSTRACT FROM AUTHOR]

Body size correlates with various biological attributes. Hence, its evolution has attracted considerable attention. The family Felidae (Mammalia: Carnivora) has extensive variation in body size among extant species, with a few species being strikingly larger. The body size of extremely large species compared with phylogenetically related species may have evolved through directional selection toward increased size in a particular lineage, although lineage-specific directional selection has not been explicitly incorporated into standard models of body size evolution on a phylogeny. We used simulation-based likelihood and approximate Bayesian computation to examine the effect of lineage-specific directional selection on body mass evolution in extant felids. Our analyses revealed the occurrence of lineage-specific directional selection that favors larger body mass in the genus Panthera (lion, Panthera leo; jaguar, Panthera onca; leopard, Panthera pardus; tiger, Panthera tigris; and snow leopard, Panthera uncia), as well as in the cheetah (Acinonyx jubatus) and puma (Puma concolor). Lineage-specific directional selection was not detected in the clouded leopard (Neofelis nebulosa), which, along with the genus Panthera, diverged early from all other extant felids. The cheetah, puma, and jaguarundi (Puma yagouarondi) compose a monophyletic group in which body size may have decreased during the evolution of the jaguarundi, although our analyses revealed no lineage-specific directional selection for smaller sizes in the species. Directional selection for increased body size shown herein seems to be associated with a lifestyle dependent on relatively large prey. This selection may be accelerated by the features of solitary hunters in felids. [ABSTRACT FROM AUTHOR]

The daily and seasonal activity patterns of snow leopards (Panthera uncia) are poorly understood, limiting our ecological understanding and hampering our ability to mitigate threats such as climate change and retaliatory killing in response to livestock predation. We fitted GPS-collars with activity loggers to snow leopards, Siberian ibex (Capra sibirica: their main prey), and domestic goats (Capra hircus: common livestock prey) in Mongolia between 2009 and 2020. Snow leopards were facultatively nocturnal with season-specific crepuscular activity peaks: seasonal activity shifted towards night-sunrise during summer, and day-sunset in winter. Snow leopard activity was in contrast to their prey, which were consistently diurnal. We interpret these results in relation to: (1) darkness as concealment for snow leopards when stalking in an open landscape (nocturnal activity), (2) low-intermediate light preferred for predatory ambush in steep rocky terrain (dawn and dusk activity), and (3) seasonal activity adjustments to facilitate thermoregulation in an extreme environment. These patterns suggest that to minimise human-wildlife conflict, livestock should be corralled at night and dawn in summer, and dusk in winter. It is likely that climate change will intensify seasonal effects on the snow leopard's daily temporal niche for thermoregulation in the future. [ABSTRACT FROM AUTHOR]

The snow leopard population in Union Territory of Ladakh (UTL), India is at the centre of five out of eight mountain ranges within the species' habitat in the high-mountain Asia. Its strategic location is of immense conservation significance to maintain genetic connectivity and metapopulation dynamics of snow leopards (Panthera uncia). Therefore, we provide the first estimates of the snow leopard's individual-based spatial genetic characteristics from UTL. Multi-locus genotyping (n = 14 loci) of individuals (n = 19) revealed moderate genetic diversity in the population (mean number of alleles = 5.86 ± 0.55, observed heterozygosity = 0.48 ± 0.05, expected heterozygosity = 0.65 ± 0.03, allelic richness = 2.65 ± 0.15). We did not observe any evidence of population structuring (using STRUCTURE and Factorial Correspondence Analysis) or isolation by distance. However, the clustering approach based on genetic distance (Nei's standard distance and Cavalli-Sforza and Edwards distance) and subsequent discriminant analysis of principal components (DAPC) revealed three sub-clusters of related individuals within the study population without any spatial correlates. We observed 1.2% first-order relatives, suggesting sufficient dispersal and panmixia in the UTL population. We observed high fixation index (FIS = 0.26 ± 0.05; 0.17 ± 0.03 upon removing loci with null alleles) and presence of individuals from genetically divergent populations in UTL. Hence, the high positive FIS value could be attributed to both Wahlund effect and inbreeding. Prioritization and effective conservation planning of the UTL population as a source would benefit the global snow leopard population by (i) maintaining connectivity between the Himalayas and the central Asian mountain ranges, and (ii) providing refuge during future climate change-related range contraction. [ABSTRACT FROM AUTHOR]

The use of remote camera traps has accelerated rapidly in the field of large carnivore science since the 1990s. Members of the Hyaenidae are important components of functional ecosystems in Africa and parts of the Middle East and South Asia, and make good candidates for study using camera traps. However, camera trap studies of hyenas remain rare in the literature when compared to species like tigers Panthera tigris, leopards Panthera pardus, and snow leopards Panthera uncia. In this paper, we examine the published use of camera traps for hyenas (n = 34 studies implemented between 2007 and 2020) and examine the logistical challenges of using camera traps, such as individual identification, limited sexual dimorphism, and complex social structures, for studies of hyena population biology, behavioral ecology, and conservation. We highlight what these challenges may mean for data analyses and interpretation. We also suggest potential benefits of further camera trap studies of this taxonomic family, including new insights into social behavior, range extensions, and robust density estimates. [ABSTRACT FROM AUTHOR]

Feline herpesvirus type 1 (FHV-1) is a common causative agent of domestic cats' rhinotracheitis in domestic cats, and it increasingly threatens wild felids worldwide. The endangered snow leopard (Panthera uncia) belongs to the family Felidae, and it is the top predator on the Tibetan Plateau. Here we report the identification and isolation of FHV-1 from three dead captive snow leopards that presented with sneezing and rhinorrhea. To explore the relationship between FHV-1 and their deaths, organs and nasal swabs were collected for histopathology, viral isolation and sequence analysis. The results revealed that all three snow leopards were infected with FHV-1. The first animal died primarily of cerebral infarction and secondary non-suppurative meningoencephalitis that was probably caused by FHV-1. The second animal died mainly of renal failure accompanied by interstitial pneumonia caused by FHV-1. The cause of death for the third animal was likely related to the concurrent reactivation of a latent FHV-1 infection. The gD and gE gene sequence alignment of the isolated FHV-1 isolate strain revealed that the virus likely originated from a domestic cat. It was found that FHV-1 infection can cause different lesions in snow leopards than in domestic cats and is associated with high risk of disease in wild felids. This suggests that there should be increased focus on protecting wild felids against FHV-1 infections originating from domestic cats. [ABSTRACT FROM AUTHOR]

The cold and arid mountains and plateaus of High Asia, inhabited by a relatively sparse human population, a high density of livestock, and wildlife such as the iconic snow leopard Panthera uncia, are usually considered low risk for disease outbreaks. However, based on current knowledge about drivers of disease emergence, we show that High Asia is rapidly developing conditions that favor increased emergence of infectious diseases and zoonoses. This is because of the existing prevalence of potentially serious pathogens in the system; intensifying environmental degradation; rapid changes in local ecological, socio-ecological, and socio-economic factors; and global risk intensifiers such as climate change and globalization. To better understand and manage the risks posed by diseases to humans, livestock, and wildlife, there is an urgent need for establishing a disease surveillance system and improving human and animal health care. Public health must be integrated with conservation programs, more ecologically sustainable development efforts and long-term disease surveillance. [ABSTRACT FROM AUTHOR]

The snow leopard (Panthera uncia), one of the most threatened felids distributed along the high-altitude mountains in the Himalayas, has experienced a steady population decline in most of its distribution range due to the loss of suitable habitats, anthropogenic activities, and retaliatory killings. We undertook the genetic assessment of the snow leopard in the Western Himalaya, India, and identified 18 unique individuals. The snow leopard populations exhibited moderate genetic variability, i.e., effective number of alleles = 3.96 ± 0.004, observed heterozygosity = 0.539 ± 0.038 and no variation at mtDNA. We found the snow leopard populations under panmixia, possibly due to the long-ranging behavior and dispersal patterns. We present the first population genetic account of the snow leopard from the Western Himalayas and discuss the importance of non-invasive genetics in monitoring the snow leopard population in the tough terrain of the trans-Himalayan region of India. [ABSTRACT FROM AUTHOR]

The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Baseline encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore. [ABSTRACT FROM AUTHOR]

Throughout the world, livestock predation by mammalian carnivores causes significant economic losses to poor farmers, and leads to human–wildlife conflicts. These conflicts result in a negative attitude towards carnivore conservation and often trigger retaliatory killing. In northern Pakistan, we investigated livestock depredation by large carnivores between 2014 and 2019, and subsequent Human–wildlife conflict, through questionnaire-based surveys (n = 100 households). We used a semi-structured questionnaire to collect data on livestock population, depredation patterns, predation count, and conservation approaches. We found a statistically significant increasing pattern of predation with influential factors such as age, gender, occupation, education of respondents, population of predators, threats index for predators and conservation efforts. Some 310 livestock heads with an average of 51 animals per year out of the total 9273 heads were killed by predators, and among them 168 (54%) were attributed to the wolf and 142 (45.8%) to snow leopard. Major threats to carnivores in the area included retaliatory killing, habitat destruction and climate change. Incentivization against depredation losses, guarded grazing and construction of predator-proof corral may reduce Human–wildlife conflict and both livelihood and predator can be safeguarded in the study area. [ABSTRACT FROM AUTHOR]

Age is an important ecological tool in wildlife conservation. However, it is difficult to estimate in most animals, including felines—most of whom are endangered. Here, we developed the first DNA methylation-based age-estimation technique—as an alternative to current age-estimation methods—for two feline species that share a relatively long genetic distance with each other: domestic cat (Felis catus; 79 blood samples) and an endangered Panthera, the snow leopard (Panthera uncia; 11 blood samples). We measured the methylation rates of two gene regions using methylation-sensitive high-resolution melting (MS-HRM). Domestic cat age was estimated with a mean absolute deviation (MAD) of 3.83 years. Health conditions influenced accuracy of the model. Specifically, the models built on cats with chronic kidney disease (CKD) had lower accuracy than those built on healthy cats. The snow leopard-specific model (i.e. the model that resets the model settings for snow leopards) had a better accuracy (MAD = 2.10 years) than that obtained on using the domestic cat model directly. This implies that our markers could be utilised across species, although changing the model settings when targeting different species could lead to better estimation accuracy. The snow leopard-specific model also successfully distinguished between sexually immature and mature individuals. [ABSTRACT FROM AUTHOR]

Financial mechanisms to mitigate the costs of negative human–carnivore interactions are frequently promoted to support human coexistence with carnivores. Yet, evidence to support their performance in different settings is scarce. We evaluated a community-based livestock insurance program implemented as part of a broader snow leopard conservation effort in the Tost Tosonbumba Nature Reserve, South Gobi, Mongolia. We assessed program efficiency and effectiveness for snow leopard conservation using a results-based evaluation approach. Data sources included program records from 2009 to 2018, as well as surveys conducted in 2016 and 2017, which allowed us to compare key indicators across communities that participated in the insurance program and control communities. Program coverage and number of livestock insured rapidly increased over the years to reach 65% of households and close to 11,000 livestock. Participants expressed satisfaction with the program and their contributions increased over time, with an increasing proportion (reaching 64% in 2018) originating from participant premiums, suggesting strong community ownership of the program. Participants were less likely to report the intention to kill a snow leopard and reported fewer livestock losses than respondents from control communities, suggesting increased engagement in conservation efforts. These results together suggest that the insurance program achieved its expected objectives, although it is challenging to disentangle the contributions of each individual conservation intervention implemented in intervention communities. However, in the first three years of the program, snow leopard mortalities continued to be reported suggesting that additional interventions were needed to reach impact in terms of reducing retaliatory killings of large carnivores. [ABSTRACT FROM AUTHOR]

The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed. [ABSTRACT FROM AUTHOR]

The snow leopard (Panthera uncia) is an elusive high-altitude specialist and under substantial threat throughout its range. To characterize microsatellites (SSRs) for the snow leopard, we performed genome-mining and comparison of SSRs with 1–6 bp nucleotide motifs between the snow leopard and all other Panthera species. A total of 1,323,721 perfect SSRs were mined for the snow leopard, which is lower than the lion (1,346,471), leopard (1,527,334), and jaguar (1,508,527) but higher than the tiger (1,236,361). Mono-nucleotide SSRs were the most frequent perfect SSRs while hexa-nucleotide SSRs the least. The GC content was the highest in tri-nucleotide SSRs while the lowest in the mono-nucleotide SSRs. Location analysis revealed that microsatellites were predominantly concentrated at both ends of genes. Most genes containing microsatellite had the SSR present at only one locus, from which we infer that the number of SSRs per gene is limited even though intragenic tandem repeats can generate functional variability. Functional analysis of genes whose coding regions have SSRs identified items involved in metabolic process and immune system, which was possibly associated with high-altitude adaptation. SSR analysis can help to develop functional markers and facilitate further analysis of microsatellite function in the snow leopard. Our data and findings will be useful for understanding the frequency and the distribution of SSRs in the snow leopard genome and provide valuable resources for further development and identification of snow leopard SSRs, which facilitates the long-term conservation and genetic diversity for this endangered species. [ABSTRACT FROM AUTHOR]

Application of next-generation sequencing (NGS) to DNA metabarcoding can greatly increase the understanding of predator–prey dynamics and the conflict between wildlife and humans, but remains underutilized for carnivores such as the threatened snow leopard (Panthera uncia). To date, this technique was hindered by the difficulty in discerning closely related caprines (Caprinae). We identified a segment of mitochondrial cytochrome c oxidase subunit 1 (MT-CO1) to differentiate these prey, and used this marker in tandem with a portion of mitochondrial 12S rRNA (MT-RNR1) to determine dietary items in 165 genetically confirmed snow leopard scats from four range countries. Identified prey species consisted of ten medium to large mammals, three small mammals, and two birds. The dominant prey consumed varied by country, with markhor (Capra falconeri) most prevalent in Pakistan, Siberian ibex (C. sibirica) in Mongolia and Kyrgyzstan, and blue sheep (Pseudois nayaur) in China. Livestock comprised 31% of diet occurrences from Pakistan and 15% from Mongolia. Domestic livestock included goat (C. aegagrus hircus), sheep (Ovis aries), bovids (Bos taurus, B. grunniens, and potentially hybrids), and horse (Equus caballus). Protection and management of regionally specific wild prey is crucial for sustaining snow leopard populations, although overall dietary breadth suggests that snow leopards may exploit other species if necessary, including livestock. Additional sampling efforts across seasons, years, regions, and areas with varying degrees of livestock depredation are needed. MT-CO1 in conjunction with MT-RNR1 can be applied to other carnivore diet studies, making it an important tool for conservation and research, particularly in ecosystems with pastoral communities. [ABSTRACT FROM AUTHOR]

The population of snow leopard (Panthera uncia) is declining across their range, due to poaching, habitat fragmentation, retaliatory killing, and a decrease of wild prey species. Obtaining information on rare and cryptic predators living in remote and rugged terrain is important for making conservation and management strategies. We used the Maximum Entropy (MaxEnt) ecological niche modeling framework to predict the potential habitat of snow leopards across the western Himalayan region, India. The model was developed using 34 spatial species occurrence points in the western Himalaya, and 26 parameters including, prey species distribution, temperature, precipitation, land use and land cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen variables contributed 98.6% towards predicting the distribution of snow leopards. The area under the curve (AUC) score was high (0.994) for the training data from our model, which indicates predictive ability of the model. The model predicted that there was 42 432 km2 of potential habitat for snow leopards in the western Himalaya region. Protected status was available for 11 247 km2 (26.5%), but the other 31 185 km2 (73.5%) of potential habitat did not have any protected status. Thus, our approach is useful for predicting the distribution and suitable habitats and can focus field surveys in selected areas to save resources, increase survey success, and improve conservation efforts for snow leopards. [ABSTRACT FROM AUTHOR]

The high mountains of northern Pakistan comprise the western section of the Hindu Kush-Karakoram-Himalayas (HKH) region of South and Central Asia. They are home to some rare and endangered species of fauna and flora which form an important link in the biodiversity of the region as a whole. Increasing population and changing life styles in recent decades have brought unprecedented pressures on the biodiversity of this region. Along with the government, the non-governmental organizations (NGOs) and communities have a crucial role to play in conserving biodiversity. In this regard, a number of undertakings to protect depleting species have been initiated by governmental and non-governmental entities. These efforts are commendable and some have produced positive results, but many exist on a small scale and, with a few exceptions, are not self-sustaining. This paper reports on some of these initiatives of conserving big mammal species like the Astor markhor, Blue sheep, Himalayan brown bear, Himalayan ibex and Snow leopard, with the aim of collating and highlighting them, identifying gaps in conservation and suggesting a way forward so as to promote conservation projects on a larger and more sustainable basis. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Abstract—A field survey of snow leopard (Panthera uncia) habitats was carried out in the southeastern part of the Eastern Sayan Mountains (Okinskii and Tunkinskii districts of the Republic of Buryatia and the Kaa-Khemskii district of Tuva Republic). Seven or eight adult snow leopards were observed as constant inhabitants of the Tunkinskie Gol'tsy, Munku-Sardyk, and Bol'shoi Sayan mountain ridges. The presence of eight snow leopards was confirmed using DNA-based analyses of scats collected in 2014-2016. The main prey species of the snow leopard in Eastern Sayan is the Siberian ibex (Capra sibirica), but its abundance has steadily decreased over the past 20 years. The red deer (Cervus elaphus) and the wild boar (Sus scrofa), which were some of the most numerous ungulates in the survey area, are replacing the Siberian ibex in the snow leopard's diet. In addition, the mountain hare (Lepus timidus) is also of importance to the snow leopard's diet. [ABSTRACT FROM AUTHOR]

Snow leopard, an elusive mammal species of the cat family, is the top-predator of the Central and South Asian, high-altitude 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. [ABSTRACT FROM AUTHOR]

Information about competition between carnivore species for food within high altitude regions is limited. Data collected from the Taxkorgan Nature Reserve, China revealed important interactions between snow leopard ( Panthera uncia), grey wolf ( Canis lupus), red fox ( Vulpes vulpes) and their prey species, including domestic livestock. Sixty-four line transects were conducted in order to identify field signs of habitat occupancy and collect scats for diet analysis. High dietary overlap was observed between all three carnivore species: snow leopard and red fox (Pianka's index = 0.96), red fox and grey wolf (Pianka's index = 0.90), snow leopard and grey wolf (Pianka's index = 0.87). Snow leopard and grey wolf showed significant predation on livestock (36.8 % for snow leopard and 29.4 % for grey wolf in diet composition). As a pioneering exploration of the endangered snow leopard and its relationship with other species within the alpine ecosystem under livestock grazing pressure, this study contributes a greater understanding of the relationship within carnivore guild in the Pamirs whilst providing implications for conservation planning and project implementation activities in China. [ABSTRACT FROM AUTHOR]

Human communities in the Trans-Himalayan region depend on the dynamics of the agro-pastoral system for survival. Humans, livestock and wild predators share common resources in the region, and this leads to human-wildlife interactions that have the potential to threaten the continued viability of this fragile ecosystem and impact the local economy. This study explored the interaction between livestock and predators in the upper Mustang region of Nepal in terms of economic and ecological impacts. A total of 1,347 km of pasture land were grazed by 30,217 livestock belonging to local people from six village development committees. It was found that the seasonal movement patterns of livestock, from higher to lower elevations (closer to villages), coincided with elevation movements of wild ungulate prey and snow leopards into this smaller land area. The number of livestock reported to have been killed by predators during the study period was 706, 75 % of which was attributed to snow leopards. An estimated US$ 44,213 was lost between October 2009 and June 2011 due to livestock predation. These losses of livestock to snow leopards and other carnivores provoked retaliatory killings by villagers, and this in turn may significantly affect the viability of predator populations in this region. We suggest four approaches to mitigate human-carnivore conflict in the region: (a) introduce a livestock insurance policy, (b) promote the use of predator-proof livestock corrals and sheds, (c) involve local people in alternative income generating activities, and (d) increase conservation education in these regions. [ABSTRACT FROM AUTHOR]

Molecular markers that can effectively identify noninvasively collected samples and provide genetic information are critical for understanding the distribution, status, and ecology of snow leopards ( Panthera uncia). However, the low DNA quantity and quality in many noninvasive samples such as scats makes PCR amplification and genotyping challenging. We therefore designed primers for 9 microsatellites loci previously isolated in the domestic cat ( Felis catus) specifically for snow leopard studies using noninvasive samples. The loci showed moderate levels of variation in two Mongolian snow leopard populations. Combined with seven other loci that we previously described, they have sufficient variation (H = 0.504, A = 3.6) for individual identification and population structure analysis. We designed a species-specific PCR assay using cytochrome b for identification of unknown snow leopard samples. These molecular markers facilitate in depth studies to assess distribution, abundance, population structure, and landscape connectivity of this endangered species. [ABSTRACT FROM AUTHOR]

Consequences of predation may be particularly heavy on small populations of herbivores, especially if they are threatened with extinction. Over the 2006-2010 period, we documented the effects of the spontaneous return of the endangered snow leopard on the population of the vulnerable Himalayan tahr. The study area was an area of central Himalaya where this cat disappeared c. 40 years before, because of persecution by man. Snow leopards occurred mainly in areas close to the core area of tahr distribution. Tahr was the staple (56.3 %) of snow leopards. After the arrival of this cat, tahr decreased by more than 2/3 from 2003 to 2010 (mainly through predation on kids). Subsequently, the density of snow leopards decreased by 60 % from 2007 to 2010. The main prey of snow leopards in Asia (bharal, marmots) were absent in our study area, forcing snow leopards to specialize on tahr. The restoration of a complete prey spectrum should be favoured through reintroductions, to conserve large carnivores and to reduce exploitation of small populations of herbivores, especially if threatened. [ABSTRACT FROM AUTHOR]

The Trans-Himalaya region boasts an immense biodiversity which includes several threatened species and supports the livelihood of local human populations. Our aim in this study was to evaluate the impact of recent climate change on the biodiversity and human inhabitants of the upper Mustang region of the Trans-Himalaya, Nepal. We found that the average annual temperature in the upper Mustang region has increased by 0.13 °C per year over the last 23 years; a higher annual temperature increase than experienced in other parts of Himalaya. A predictive model suggested that the mean annual temperature will double by 2161 to reach 20 °C in the upper Mustang region. The combined effects of increased temperature and diminished snowfall have resulted in a reduction in the area of land suitable for agriculture. Most seriously affected are Samjung village (at 4,100 m altitude) and Dhey village (at 3,800 m) in upper Mustang, where villagers have been forced to relocate to an area with better water availability. Concurrent with the recent change in climate, there have been substantial changes in vegetation communities. Between 1979 and 2009, grasslands and forests in the Mustang district have diminished by 11 and 42 %, respectively, with the tree line having shifted towards higher elevation. Further, grasses and many shrub species are no longer found in abundance at higher elevations and consequently blue sheep ( Pseduois nayaur) move to forage at lower elevations where they encounter and raid human crops. The movement of blue sheep attracts snow leopard ( Panthera uncia) from their higher-elevation habitats to lower sites, where they encounter and depredate livestock. Increased crop raiding by blue sheep and depredations of livestock by snow leopard have impacted adversely on the livelihoods of local people. [ABSTRACT FROM AUTHOR]

Mountain ungulates around the world have been threatened by illegal hunting, habitat modification, increased livestock grazing, disease and development. Mountain ungulates play an important functional role in grasslands as primary consumers and as prey for wild carnivores, and monitoring of their populations is important for conservation purposes. However, most of the several currently available methods of estimating wild ungulate abundance are either difficult to implement or too expensive for mountainous terrain. A rigorous method of sampling ungulate abundance in mountainous areas that can allow for some measure of sampling error is therefore much needed. To this end, we used a combination of field data and computer simulations to test the critical assumptions associated with double-observer technique based on capture-recapture theory. The technique was modified and adapted to estimate the populations of bharal ( Pseudois nayaur) and ibex ( Capra sibirica) at five different sites. Conducting the two double-observer surveys simultaneously led to underestimation of the population by 15%. We therefore recommend separating the surveys in space or time. The overall detection probability for the two observers was 0.74 and 0.79. Our surveys estimated mountain ungulate populations (±95% confidence interval) of 735 (±44), 580 (±46), 509 (±53), 184 (±40) and 30 (±14) individuals at the five sites, respectively. A detection probability of 0.75 was found to be sufficient to detect a change of 20% in populations of >420 individuals. Based on these results, we believe that this method is sufficiently precise for scientific and conservation purposes and therefore recommend the use of the double-observer approach (with the two surveys separated in time or space) for the estimation and monitoring of mountain ungulate populations. [ABSTRACT FROM AUTHOR]

Molecular genetic methods were used to perform the species and individual identification of 117 samples of hair and feces of carnivores collected in natural habitats. The species were identified for 85.5% of the samples. The analysis of the nucleotide sequences of the cytochrome b mitochondrial gene was used to identify the samples of hair and feces of snow leopards ( Uncia uncia, 40%), red foxes ( Vulpes vulpes, 48%), wolves ( Canis lupus, 6%), and lynx ( Lynx lynx, 5%). The analysis of eight microsatellite loci allowed the genotypes of 13 snow leopards to be described. The sex of 11 animals was identified. [ABSTRACT FROM AUTHOR]

The snow leopard (Panthera uncia) inhabits the high, remote mountains of Pakistan from where very little information is available on prey use of this species. Our study describes the food habits of the snow leopard in the Himalayas and Karakoram mountain ranges in Baltistan, Pakistan. Ninety-five putrid snow leopard scats were collected from four sites in Baltistan. Of these, 49 scats were genetically confirmed to have originated from snow leopards. The consumed prey was identified on the basis of morphological characteristics of hairs recovered from the scats. It was found that most of the biomass consumed (70%) was due to domestic livestock viz. sheep (23%), goat (16%), cattle (10%), yak (7%), and cattle-yak hybrids (14%). Only 30% of the biomass was due to wild species, namely Siberian ibex (21%), markhor (7%), and birds (2%). Heavy predation on domestic livestock appeared to be the likely cause of conflict with the local inhabitants. Conservation initiatives should focus on mitigating this conflict by minimizing livestock losses. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The article present a case report of a 29-year-old man was referred to PET unit to evaluate the activity of a systemic sarcoidosis with lung, lymph node and cutaneous involvement; and mentions the 3D PET maximal intensity projection (MIP) showed extensive and intense cutaneous and subcutaneous.

The snow leopard is one of the most endangered large mammals. Its population, already low, is declining, most likely due to the consequences of human activity, including a reduction in the size and number of suitable habitats. With climate change, habitat loss may escalate, because of an upward shift in the tree line and concomitant loss of the alpine zone, where the snow leopard lives. Migration between suitable areas, therefore, is important because a decline in abundance in these areas may result in inbreeding, fragmentation of populations, reduction in genetic variation due to habitat fragmentation, loss of connectivity, bottlenecks or genetic drift. Here we use our data collected in Nepal to determine the areas suitable for snow leopards, by using habitat suitability maps, and describe the genetic structure of the snow leopard within and between these areas. We also determine the influence of landscape features on the genetic structure of its populations and reveal corridors connecting suitable areas. We conclude that it is necessary to protect these natural corridors to maintain the possibility of snow leopards' migration between suitable areas, which will enable gene flow between the diminishing populations and thus maintain a viable metapopulation of snow leopards. [ABSTRACT FROM AUTHOR]