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Collaborative conservation interventions based on engagement with local communities are increasingly common, especially for large carnivores that negatively impact people's livelihoods and well‐being. However, evaluating the effectiveness of large‐scale community‐based conservation interventions is rarely done, making it problematic to assess or justify their impact. In our study focused on snow leopards (Panthera uncia) in five countries, we show that bespoke and well‐implemented community‐based and conflict management intervention efforts can lead to more sustainable conservation outcomes. Collaborative interventions, spread over about 88,000 km2 of snow leopard habitat, reduced livestock depredation and disease and associated economic costs. Additionally, they generated conservation‐linked livelihoods and enhanced community decision‐making, leading to more positive behavioral intent toward snow leopards and improved communities’ cooperation, economic security, and confidence. Our results provide lessons learned and recommendations for practitioners and governments to alleviate conflicts and foster coexistence with snow leopards and large carnivores more broadly. These include prioritizing locally led tailored solutions based on the PARTNERS principles, recognizing local community rights in conservation decision‐making, and recognizing the role of social norms in ensuring accountability. [ABSTRACT FROM AUTHOR]

Simple Summary: Understanding the activity patterns of snow leopards is important for the conservation of this species, but the activity patterns of snow leopards in the Qilian Mountain National Park (Qinghai area) are largely unknown. Therefore, we used camera trap data for snow leopards and analyzed activity patterns at different time scales and under different weather conditions. The results demonstrate the patterns of regional snow leopard activity and play an important role in the management and conservation of snow leopards in the region. In recent years, there has been growing concern about the condition of snow leopards. The snow leopard (Panthera uncia), an apex predator of alpine ecosystems, is essential for the structural and functional stability of ecosystems. Monitoring of snow leopards' activity patterns based on camera traps in the Qilian Mountain National Park (Qinghai area) between August 2020 to October 2023 was performed. The results showed that autumn is the peak period of snow leopard activity, especially in September when the frequency of activity is the highest, and there is one peak in the frequency of snow leopard daily activity in the time period of 18:00–22:00, while the highest overlap of the daily activity curves of snow leopards in different months was from spring to autumn (Δ = 0.97), and there were significant differences in diurnal activity rhythm between spring and autumn (p = 0.002). Snow leopards prefer sunny days, and they tend to be active at temperatures of −10–9 °C. Our research aimed to uncover the activity patterns of snow leopards at different scales within the study area and provide data for further studies on snow leopards and other wildlife by researchers. This study can be used to gain a comprehensive understanding of the ecological characteristics of snow leopards and to assess their habitats, and it will also serve as a reference for the local wildlife management authorities in formulating snow leopard conservation measures. [ABSTRACT FROM AUTHOR]

Carnivores play key roles in maintaining ecosystem structure and function as well as ecological processes. Understanding how sympatric species coexist in natural ecosystems is a central research topic in community ecology and biodiversity conservation. In this study, we explored intra- and interspecific niche partitioning along spatial, temporal, and dietary niche partitioning between apex carnivores (wolf Canis lupus, snow leopard Panthera uncia, Eurasian lynx Lynx lynx) and mesocarnivores (Pallas’s cat Otocolobus manul, red fox Vulpes vulpes, Tibetan fox Vulpes ferrilata) in Qilian Mountain National Park, China, using camera trapping data and DNA metabarcoding sequencing data. Our study showed that apex carnivore species had more overlap temporally (coefficients of interspecific overlap ranging from 0.661 to 0.900) or trophically (Pianka’s index ranging from 0.458 to 0.892), mesocarnivore species had high dietary overlap with each other (Pianka’s index ranging from 0.945 to 0.997), and apex carnivore and mesocarnivore species had high temporal overlap (coefficients of interspecific overlap ranging from 0.497 to 0.855). Large dietary overlap was observed between wolf and snow leopard (Pianka’s index = 0.892) and Pallas’s cat and Tibetan fox (Pianka’s index = 0.997), suggesting the potential for increased resource competition for these species pairs. We concluded that spatial niche partitioning is likely to key driver in facilitating the coexistence of apex carnivore species, while spatial and temporal niche partitioning likely facilitate the coexistence of mesocarnivore species, and spatial and dietary niche partitioning facilitate the coexistence between apex and mesocarnivore species. Our findings consider partitioning across temporal, spatial, and dietary dimensions while examining diverse coexistence patterns of carnivore species in Qilian Mountain National Park, China. These findings will contribute substantially to current understanding of carnivore guilds and effective conservation management in fragile alpine ecosystems. [ABSTRACT FROM AUTHOR]

Simple Summary: Humans and other mammals have different blood group systems. In domestic cats, the ABC blood group system is the most important and has been studied a lot, from the physical traits to the genetic level. For wild cats (non-domestic felids), tests have been conducted to identify blood types using different methods, but the genetic markers used in domestic cats could not identify blood types B and C (AB) in wild cats. In this study, the CMAH gene of 138 blood samples from 15 wild cat species was sequenced to see if certain genetic variants matched with the ABC blood types. A total of 58 different genetic variants were found, including 15 causing changes in the protein sequence. One variant (c.635G>C) was linked with blood type B (and C) in cheetahs and blood type B in cougars. Since cheetahs and cougars are part of the same genera puma, it is unclear whether this variant is a marker for type B (or C) specifically or is just common in pumas. Different blood group systems have been characterized in people and other mammals. In domestic cats, the ABC blood group system plays the most important clinical role and has been investigated extensively—from the phenotype to the molecular genetics. In non-domestic felids, phenotypic ABC blood typing has been performed by different methods to detect the antigens, but the four informative CMAH markers in domestic cats were not able to identify types B and C (AB) in non-domestic cats. In this study, 138 blood samples from 15 non-domestic (wild) felid species were investigated by CMAH exonic sequencing and genotyping for putative variants causing type B or C (AB) and correlation to the respective ABC blood phenotype. A total of 58 CMAH variants were found, including 15 missense and 43 synonymous CMAH variants. One variant (c.635G>C) was concordant with blood type B (and C) in cheetahs and type B in cougars, compared to blood type A in all other felid species (lion, tiger, Canada lynx, snow leopard, clouded leopard, serval, jaguar, fishing cat, Pallas cat, bobcat, black footed cat, leopard, and sand cat). Since cheetahs and cougars belong to the genera puma, it could not be determined if the common CMAH variant is either a marker for type B (or C) or is just common in pumas. [ABSTRACT FROM AUTHOR]

Between September and November 2021, 5 snow leopards (Panthera uncia) and 1 lion (Panthera leo) were naturally infected with severe acute respiratory coronavirus 2 (SARS-CoV-2) and developed progressive respiratory disease that resulted in death. Severe acute respiratory syndrome coronavirus 2 sequencing identified the delta variant in all cases sequenced, which was the predominant human variant at that time. The time between initial clinical signs and death ranged from 3 to 45 days. Gross lesions in all 6 cats included nasal turbinate hyperemia with purulent discharge and marked pulmonary edema. Ulcerative tracheitis and bronchitis were noted in 4 cases. Histologically, there was necrotizing and ulcerative rhinotracheitis and bronchitis with fibrinocellular exudates and fibrinosuppurative to pyogranulomatous bronchopneumonia. The 4 cats that survived longer than 8 days had fungal abscesses. Concurrent bacteria were noted in 4 cases, including those with more acute disease courses. Severe acute respiratory syndrome coronavirus 2 was detected by in situ hybridization using probes against SARS-CoV-2 spike and nucleocapsid genes and by immunohistochemistry. Viral nucleic acid and protein were variably localized to mucosal and glandular epithelial cells, pneumocytes, macrophages, and fibrinocellular debris. Based on established criteria, SARS-CoV-2 was considered a contributing cause of death in all 6 cats. While mild clinical infections are more common, these findings suggest that some SARS-CoV-2 variants may cause more severe disease and that snow leopards may be more severely affected than other felids. [ABSTRACT FROM AUTHOR]

Identifying individuals is key to estimating population sizes by spatial capture–recapture, but identification errors are sometimes made. The most common identification error is the failure to recognise a previously detected individual, thus creating a 'ghost' Johansson. This results in positively biased abundance estimates.Ghosts typically manifest as single detection individuals ('singletons') in the capture history. To deal with ghosts, we develop a spatial capture–recapture method conditioned on at least K detections. The standard spatial capture–recapture (SCR) model is the special case of K=1. Ghosts can mostly be excluded by fitting a model with K=2 (SCR‐2).We investigated the effect of 'singleton' ghosts on the estimation of the model parameters by simulation. The SCR method increasingly overestimated abundance with increasing percentage of ghosts, with positive bias even when only 10% of the detected individuals were ghosts, and bias between 43% and 71% when 30% were ghosts. Estimates from the SCR‐2 method showed lower bias in the presence of ghosts, at the cost of a loss of precision. The mean squared error of the estimated abundance from the SCR‐2 method was lower in all scenarios with ghosts under high encounter rates and for scenarios with 30% or more ghosts with low encounter rates. We also applied our method to capture histories from camera trap surveys of snow leopards (Panthera uncia) at two sites from Mongolia and find that the SCR method produced higher abundance estimates at both sites.Capture histories are susceptible to errors when generated from passive detectors such as camera traps and genetic samples. The SCR‐2 method can remove bias from ghost capture histories, at the cost of some loss in precision. We recommend using the SCR‐2 method in cases when there may be more than 10% ghosts or surveys with a large number of single detection capture histories, except perhaps when the sample size is very low. [ABSTRACT FROM AUTHOR]

Papillomaviruses (PV) infect epithelial cells and can cause hyperplastic or neoplastic lesions. In felids, most described PVs are from domestic cats (Felis catus; n = 7 types), with one type identified in each of the five wild felid species studied to date (Panthera uncia, Puma concolor, Leopardus wiedii, Panthera leo persica and Lynx rufus). PVs from domestic cats are highly diverse and are currently classified into three genera (Lambdapapillomavirus, Dyothetapapillomavirus, and Taupapillomavirus), whereas those from wild felids, although diverse, are all classified into the Lambdapapillomavirus genus. In this study, we used a metagenomic approach to identify ten novel PV genomes from rectal swabs of five deceased caracals (Caracal caracal) living in the greater Cape Town area, South Africa. These are the first PVs to be described from caracals, and represent six new PV types, i.e., Caracal caracal papillomavirus (CcarPV) 1–6. These CcarPV fall into two phylogenetically distinct genera: Lambdapapillomavirus, and Treisetapapillomavirus. Two or more PV types were identified in a single individual for three of the five caracals, and four caracals shared at least one of the same PV types with another caracal. This study broadens our understanding of wild felid PVs and provides evidence that there may be several wild felid PV lineages. [ABSTRACT FROM AUTHOR]

[Display omitted] • ATR-FTIR spectroscopy was used to distinguish 3 wild cats from black guard hair. • The PLS-DA model successfully classified three species into distinct groups. • The PLS-DA model successfully differentiated human and non-human hair. • 100 % accuracy was achieved during the blind test. Hair is a commonly encountered trace evidence in wildlife crimes involving mammals and can be used for species identification which is essential for subsequent judicial proceedings. This proof of concept study aims, to distinguish the black guard hair of three wild cat species belonging to the genus Panthera i.e. Royal Bengal Tiger (Panthera tigris tigris), Indian Leopard (Panthera pardus fusca), and Snow Leopard (Panthera uncia) using a rapid and non-destructive ATR-FTIR spectroscopic technique in combination with chemometrics. A training dataset including 72 black guard hair samples of three species (24 samples from each species) was used to construct chemometric models. A PLS2-DA model successfully classified these three species into distinct classes with R-Square values of 0.9985 (calibration) and 0.8989 (validation). VIP score was also computed, and a new PLS2DA-V model was constructed using variables with a VIP score ≥ 1. External validation was performed using a validation dataset including 18 black guard hair samples (6 samples per species) to validate the constructed PLS2-DA model. It was observed that PLS2-DA model provides greater accuracy and precision compared to the PLS2DA-V model during cross-validation and external validation. The developed PLS2-DA model was also successful in differentiating human and non-human hair with R-Square values of 0.99 and 0.91 for calibration and validation, respectively. Apart from this, a blind test was also carried out using 10 unknown hair samples which were correctly classified into their respective classes providing 100 % accuracy. This study highlights the advantages of ATR-FTIR spectroscopy associated with PLS-DA for differentiation and identification of the Royal Bengal Tiger, Indian Leopard, and Snow Leopard hairs in a rapid, accurate, eco-friendly, and non-destructive way. [ABSTRACT FROM AUTHOR]

The article presents new information on the location of the Pallas's cat in the territory of the Katon-Karagai National Park, including data obtained from camera traps.

Reliable estimates of how human activities may affect wildlife populations are critical for making scientifically sound resource management decisions. A significant issue in estimating the consequences of management, development, or conservation measures is the need to account for a variety of biotic and abiotic factors, such as land use and climate change, that interact over time altering wildlife habitats and populations. The snow leopard Panthera uncia (Schreber, 1775), as a vulnerable species, is extremely sensitive to indirect impacts of climate change. Given that it is highly difficult undertaking conservation measures on the entire range of snow leopards, identifying hotspots for conservation is necessary. This study was conducted in Bagrot and Haramosh valleys, in the Trans-Himalayan region, to evaluate the impacts of climate and human pressure on snow leopard habitat. Hybrid classification of Landsat satellite data for 2010 and 2020 was performed to elucidate land use changes that suggested a decrease in permanent snow by 10 % and 3 % in Haramosh and Bagrot while an increase in settlements cover by 16 % and 23 %, respectively. Life zone comparison for 2010 and 2020 using the Holdridge life zone (HLZ) classification system disclosed a change from three life zones to five life zones in Haramosh, and four life zones to five life zones in Bagrot, caused by a temperature increase of 2°C to 3°C, indicating that the area is becoming more and more suitable for settlements and less favorable for snow leopards. This study underlines again that mountainous regions are more vulnerable to the impacts of climate change. Warming weather is making survival more difficult for snow leopards. Although they are resilient to the direct effects of climate change, indirect impacts like avalanches, flash floods, urbanization, and human-wildlife conflict make them more vulnerable and threaten their survival. Thus, we recommend establishing further protected areas, better controlling illegal wildlife trade, and conducting genetic studies to understand impacts on snow leopards and rangeland management, livelihood improvement, and human-wildlife conflict reductions.

Predation on livestock by large carnivores, such as snow leopard (Panthera uncia), is a global issue that leads to human-wildlife conflicts (HWC). In the Sanjiangyuan National Park (SNP) located in western China, traditional grazing practices have resulted in extensive utilization of snow leopard habitats as pasturelands. The presence of domestic animals in snow leopard habitats increases the likelihood of predation by snow leopards, thereby exacerbating human-snow leopard conflict. In this study, questionnaire surveys were utilized to investigate the attitudes of local herders in Bagan, a township at the southeastern periphery of SNP, towards snow leopard attacks on livestock. Additionally, infrared camera trapping was employed to explore the spatial and temporal overlap between snow leopards, bharals (Pseudois nayaur) and free-ranging livestock. The resulting overlap coefficients were utilized to quantify the competition in the space use and the overlap of daily activity rhythms respectively between these species based on infrared camera records. The questionnaire surveys revealed that snow leopards primarily targeted livestock during nocturnal hours, leading to negative attitudes among herders. Spatial overlap results indicated that bharal and livestock exhibited the highest degree of spatial utilization overlap (OI = 0.78), followed by snow leopard and bharal (OI = 0.75), as well as snow leopard and livestock (OI = 0.75). Furthermore, the temporal overlap results for daily activity rhythms demonstrated a high level of consistency between bharal and livestock (Δ = 0.95). Our findings indicated a high spatial overlap between free-ranging livestock and snow leopards, thereby increasing the likelihood of encounters between these two groups and subsequently heightening the potential for predation on livestock by snow leopards. This heightened predation risk was considered one of the primary drivers behind HWC. To mitigate retaliatory killing on snow leopards by herders and to safeguard herders’ interests, we have proposed a multipronged conservation program encompassing regular removal of animal traps, regulation of grazing areas, and reinforcement of supervision to minimize livestock susceptibility to predation.

Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up 40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km2. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains.

This article examines the movement patterns of snow leopards in the Altai mountains of Mongolia. Researchers used GPS collars to track the movements of three subadult snow leopards and discovered that they were capable of traveling long distances across flat areas of the steppe. The snow leopards seemed to be heading towards distant mountains that were visible from their starting points. The study suggests that while snow leopards do not establish home ranges in flat areas, they are able to traverse large stretches of steppe landscapes, indicating that these areas may offer less resistance than previously believed. The article also provides information on the ownership and availability of GPS-collar data for snow leopards, which is owned by the Snow Leopard Trust and can be accessed by qualified researchers. Researchers can request GPS locations for specific snow leopards by contacting the Snow Leopard Trust. [Extracted from the article]

The Pallas's cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of "Least Concern" in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas's cats. These microsatellites were genotyped on six wild Pallas's cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas's cat displays moderate genetic diversity. Intriguingly, we found that the Pallas's cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas's cat. [ABSTRACT FROM AUTHOR]

The enamel of mammalian teeth is a highly mineralized tissue that must endure a lifetime of cyclic contact and is inspiring the development of next-generation engineering materials. Attempts to implement enamel-inspired structures in synthetic materials have had limited success, largely due to the absence of a detailed understanding of its microstructure. The present work used synchrotron phase-contrast microCT imaging to evaluate the three-dimensional microstructure of enamel from four mammals including Lion, Gray Wolf, Snow Leopard, and Black Bear. Quantitative results of image analysis revealed that the decussation pattern of enamel consists of discrete diazone (D) and parazone (P) bands of rods organized with stacking arrangement of D+/P/D-/P in all mammals evaluated; the D+ and D- refer to distinct diazone bands with juxtaposed rod orientations from the reference plane. Furthermore, the rod orientations in the bands can be described in terms of two principal angles, defined here as the pitch and yaw. While the pitch angle increases from the outer enamel to a maximum (up to ≈ 40°) near the dentin enamel junction, minimal spatial variations are observed in yaw across the enamel thickness. There are clear differences in the decussation parameters of enamel across species that are interpreted here with respect to the structural demands placed on their teeth. The rod pitch and band width of enamel are identified as important design parameters and appear to be correlated with the bite force quotient of the four mammals evaluated. The multi-functionality of tooth enamel requires both hardness and resistance to fracture, properties that are generally mutually exclusive. Ubiquitous to all mammalian teeth, the enamel is expected to have undergone adaptations in microstructure to accommodate the differences in diet, body size and bite force across animals. For the first time, we compare the complex three-dimensional microstructure of enamel from teeth of multiple mammalian species using synchrotron micro-computed tomography. The findings provide new understanding of the "design" of mammalian enamel microstructures, as well as how specific parameters associated with the decussation of rods appear to be engineered to modulate its fracture resistance. [Display omitted] [ABSTRACT FROM AUTHOR]

We provide camera trap records of the presence of two large predators: the snow leopard Panthera uncia and common leopard Panthera pardus from the same habitats in Lapchi Valley of Gaurishankar Conservation Area. Camera traps were laid for 2,304 (mean 88.62 ± SD 103.34) trap nights in 26 locations (elevation range: 2,140 to 4,350 m, area: 141.63 km2). A total of 55, 219 pictures were recorded from November 2022 to May 2023. Out of 26 camera stations, two camera stations captured the images of both species at an altitude of 4,000 m and 4,260 m in Lapchi Valley. The Relative Abundance Indices of snow leopards and common leopards were 7.51 ± SD 6.35 and 9.84 ± SD 6.35 per 100 trap days/nights, and independent detection rates were 0.41 and 0.52 respectively. This is the first evidence of habitat overlap between two large vulnerable predators in Gaurishankar Conservation Area. The nature of the coexistence or competition between these predators needs further investigation. [ABSTRACT FROM AUTHOR]

The hunting behaviours of the snow leopard (Panthera uncia) are poorly understood. In this note, we describe the successful hunt of an adult male ibex (Capra sibirica) by a known male snow leopard in Tost Mountains, Mongolia. The hunt started in a mountain slope close to three large boulders and progressed downhill for 115 m until it concluded at the bottom of a drainage. By comparing the habitat where the ibex was killed to the kill sites of 158 ibex and 17 argali (Ovis ammon) that were killed by GPS-collared snow leopards, we demonstrate that the majority (62%) of these kills occurred in drainages. We propose that in successful hunts, snow leopards commonly ambush from above, causing prey individuals to typically flee downhill. Thereby the prey maintain their momentum and it is not until they are slowed down upon reaching the bottom of the drainage that the snow leopards are able to subdue them. [ABSTRACT FROM AUTHOR]

Snow leopards (Panthera uncia) frequently prey on livestock throughout their range, posing a potential threat to human livelihoods and endangering the predator's own survival. In this study, we document seven incidents of snow leopards intruding into livestock corrals and engaging in surplus killing in three districts of Badakhshan, Afghanistan. Six of the predation incidents were attributed to a single individual, occurring in five locations of Wakhan District and eventually in Yumgan District, where the captured animal was relocated. The remaining predation incident occurred in Keran-wa Munjan District, marking the first recorded evidence of snow leopards in this area. In all but one of the incidents, the predator was trapped in the corral it intruded and safely released back to the wild with the support of the National Environmental Protection Agency (NEPA) and Wildlife Conservation Society (WCS) team in Afghanistan. Local communities have been supportive in releasing the snow leopard despite losses of over 50 livestock. To mitigate negative interactions between snow leopards and livestock, conservation efforts should focus on conserving prey species, implementing predatorproof measures for livestock corrals, and utilizing collar tracking when a trapped snow leopard is found in a corral. Unfortunately, when an individual repeatedly enters livestock corrals and continues killing livestock, capture and relocation to captivity often become the only viable option to address the problem and ensure the animal's safety from retaliatory action by affected herders. [ABSTRACT FROM AUTHOR]

Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up 40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km2. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains. [ABSTRACT FROM AUTHOR]

Severe musculoskeletal diseases, such as those associated with congenital or traumatic events, that result in missing limbs may compromise the fitness and survival of free‐living felids. Here we report the space use of four amputee individuals from three felid species captured from 2017 to 2022 in Missouri (USA), Toledo and Badajoz (Spain), and Suitai Khairkhan Mountain (Mongolia). We describe home ranges and daily travel distances post‐release of free‐living felids that had either suffered a traumatic amputation or following a surgical amputation. We compared these data with those reported in the literature for felids without amputations. Forelimb or hindlimb amputation did not affect the hunting, mating, or territory patrolling behavior of any of the individuals. However, we recorded significant differences in the daily movement before and after the traumatic event of the Iberian lynx forelimb amputee. We attribute this difference to the physical impairment, although we consider other variables that may have played a role. Nevertheless, all animals appeared to cope well with their limb loss, showing home ranges and daily distances within those recorded for their sex and species. Unless amputee felids represent a threat to domestic livestock or humans, our data suggest these individuals may remain free‐living as they contribute to local population persistence and appear to maintain good general health and welfare. [ABSTRACT FROM AUTHOR]

Flagship species' conservation strategies hold significant prominence in biodiversity preservation. The giant panda, a globally recognized species, has drawn attention to its benefits and constraints as a flagship species. This study aimed to assess the potential benefits of a dual flagship strategy using both the giant panda and snow leopard, compared to an approach solely using the giant panda. We identified the number of potential beneficiary species based on their habitat overlap with the giant panda and snow leopard in Sichuan and Gansu, China. Subsequently, we examined public preferences for these two flagships and their influencing factors through questionnaire surveys within and outside China. The dual flagship strategy covered the habitats of more species and amplified existing protection for those species already benefiting from giant panda conservation efforts. The giant panda was commonly perceived as "Adorable", "Innocent", and "Rare", while perceptions of the snow leopard leaned towards "Mighty", "Mysterious", and "Rare". Though the giant panda is widely favored, the survey indicates a notable preference for snow leopards among a proportion of respondents. The dual flagship strategy offers expanded wildlife habitat coverage and benefits a broader range of species. Moreover, the combined appeal of the snow leopard and giant panda, each possessing unique charm and symbolism, holds the potential to garner broader societal interest and support. This study may serve as a reference for policy decisions in the Giant Panda National Park and other similar protected areas, optimizing conservation management and outreach initiatives for flagship species strategies. It may also benefit conservation strategies centered on other flagship species. [ABSTRACT FROM AUTHOR]

The Endangered tiger Panthera tigris and Vulnerable snow leopard Panthera uncia are umbrella species and conservation priorities. Jigme Dorji National Park is an important protected area for the conservation of both species because it serves as a source site for tigers to adjacent areas and has the largest snow leopard population in Bhutan. Habitat overlap of tigers and snow leopards in Bhutan has been previously reported based on evidence of tigers (pugmarks, livestock killed and camera-trap images) in known snow leopard habitat above 4,000 m altitude. Here we report the first photographic evidence of both tigers and snow leopards at the same locations, confirming habitat overlap and co-occurrence of the two species. The data are derived from the countrywide tiger survey carried out during October 2021–January 2022. Fifty-six pairs of camera traps were installed in a 5 × 5 km grid at an altitude range of 1,200–4,300 m. After a survey effort of 1,528 trap-nights, 478 tiger images and 31 snow leopard images were captured at 12 and three camera stations, respectively. At all three camera stations that captured snow leopard images, tigers were also captured. These findings indicate the habitat overlap and co-occurrence of tigers and snow leopards in Jigme Dorji National Park. Further research is required to inform conservation practice in the National Park focusing on these apex predators.

A recent study published in the Bulletin of the Ecological Society of America reveals that young snow leopards have the ability to disperse across flat areas in search of vacant territories. While adult snow leopards typically remain within their mountainous home ranges, GPS collars tracked the movements of dispersing snow leopards as they crossed long distances across undisturbed steppes. However, these dispersal efforts are often hindered by international boundary fences, which act as barriers to their movement. The study provides valuable insights into the behavior and habitat requirements of snow leopards, highlighting the need for conservation efforts to address these challenges. [Extracted from the article]

In recent years, there has been growing concern about the condition of snow leopards. The snow leopard (Panthera uncia), an apex predator of alpine ecosystems, is essential for the structural and functional stability of ecosystems. Monitoring of snow leopards’ activity patterns based on camera traps in the Qilian Mountain National Park (Qinghai area) between August 2020 to October 2023 was performed. The results showed that autumn is the peak period of snow leopard activity, especially in September when the frequency of activity is the highest, and there is one peak in the frequency of snow leopard daily activity in the time period of 18:00–22:00, while the highest overlap of the daily activity curves of snow leopards in different months was from spring to autumn (Δ = 0.97), and there were significant differences in diurnal activity rhythm between spring and autumn (p = 0.002). Snow leopards prefer sunny days, and they tend to be active at temperatures of −10–9 °C. Our research aimed to uncover the activity patterns of snow leopards at different scales within the study area and provide data for further studies on snow leopards and other wildlife by researchers. This study can be used to gain a comprehensive understanding of the ecological characteristics of snow leopards and to assess their habitats, and it will also serve as a reference for the local wildlife management authorities in formulating snow leopard conservation measures.

Species assemblages are influenced by trophic and intraguild interactions, which may be competitive, facilitative, or neutral. These interactions vary in relative importance depending on resource availability. We assessed the nature of interactions among six carnivore species (Ursus arctos, Panthera uncia, Vulpes vulpes, Mustela altaica, and Martes foina) and their prey (Capra sibirica, Pseudois nayaur, Hemitragus jemlahicus, Moschus leucogaster, Ochotona sp., and Rodentia sp.) by examining their spatial–temporal overlaps using camera‐trap data gathered between 2016 and 2019 from the resource‐limited landscapes of the high Himalayas. We examined fine scale pairwise spatial interaction using multi‐species occupancy method and temporal overlap using time activity kernel densities function. Carnivore species showed relatively high spatio‐temporal overlap. We found spatial avoidance between two pairs and temporal avoidance between four out of 15 pairs. Contrary to our expectation that carnivore species would segregate due to competition in a resource‐poor environment, our results showed that they generally showed significant co‐occurrence and appeared to track their prey's activity. Our findings highlight the potentially overriding role of prey availability in influencing carnivore species occurrence in resource‐poor landscapes. [ABSTRACT FROM AUTHOR]

Illegal trade in big cat (Panthera spp.) body parts is a prominent topic in scientific and public discourses concerning wildlife conservation. While illegal trade is generally acknowledged as a threat to big cat species, we suggest that two enabling factors have, to date, been under‐considered. To that end, we discuss the roles of human‐felid conflict, and "local" use in illegal trade in big cat body parts. Drawing examples from across species and regions, we look at generalities, contextual subtleties, ambiguities, and definitional complexities. We caution against underestimating the extent of "local" use of big cats and highlight the potential of conflict killings to supply body parts. [ABSTRACT FROM AUTHOR]

Introduction: Felids have evolved a specialized suite of morphological adaptations for obligate carnivory. Although the musculoskeletal anatomy of the Felidae has been studied extensively, the comparative neuroanatomy of felids is relatively unexplored. Little is known about how variation in the cerebral anatomy of felids relates to species-specific differences in sociality, hunting strategy, or activity patterns. Methods: We quantitatively analyzed neuropil variation in the prefrontal, primary motor, and primary visual cortices of six species of Felidae (Panthera leo, Panthera uncia, Panthera tigris, Panthera leopardus, Acinonyx jubatus, Felis sylvestris domesticus) to investigate relationships with brain size, neuronal cell parameters, and select behavioral and ecological factors. Neuropil is the dense, intricate network of axons, dendrites, and synapses in the brain, playing a critical role in information processing and communication between neurons. Results: There were significant species and regional differences in neuropil proportions, with African lion, cheetah, and tiger having more neuropil in all three cortical regions in comparison to the other species. Based on regression analyses, we find that the increased neuropil fraction in the prefrontal cortex supports social and behavioral flexibility, while in the primary motor cortex, this facilitates the neural activity needed for hunting movements. Greater neuropil fraction in the primary visual cortex may contribute to visual requirements associated with diel activity patterns. Conclusion: These results provide a cross-species comparison of neuropil fraction variation in the Felidae, particularly the understudied Panthera, and provide evidence for convergence of the neuroanatomy of Panthera and cheetahs. [ABSTRACT FROM AUTHOR]

The Endangered tiger Panthera tigris and Vulnerable snow leopard Panthera uncia are umbrella species and conservation priorities. Jigme Dorji National Park is an important protected area for the conservation of both species because it serves as a source site for tigers to adjacent areas and has the largest snow leopard population in Bhutan. Habitat overlap of tigers and snow leopards in Bhutan has been previously reported based on evidence of tigers (pugmarks, livestock killed and camera-trap images) in known snow leopard habitat above 4,000 m altitude. Here we report the first photographic evidence of both tigers and snow leopards at the same locations, confirming habitat overlap and co-occurrence of the two species. The data are derived from the countrywide tiger survey carried out during October 2021–January 2022. Fifty-six pairs of camera traps were installed in a 5 × 5 km grid at an altitude range of 1,200–4,300 m. After a survey effort of 1,528 trap-nights, 478 tiger images and 31 snow leopard images were captured at 12 and three camera stations, respectively. At all three camera stations that captured snow leopard images, tigers were also captured. These findings indicate the habitat overlap and co-occurrence of tigers and snow leopards in Jigme Dorji National Park. Further research is required to inform conservation practice in the National Park focusing on these apex predators. [ABSTRACT FROM AUTHOR]

Context. In Nepal, naur are usually the staple wild prey for the snow leopard, a solitary stalker hunter, and in some cases, for the wolf who hunts in a pack. We assumed that naur would adapt their anti-predatory responses to the presence of chasing and ambushing predators in the Manang Valley, where there are snow leopards and wolves, and in the Nar Phu valley, an area where there is only the snow leopard. Aims. The aim of this study was to determine if there were differences in anti-predator strategies (vigilance, habitat selection and escape terrain) of naur in two valleys over two seasons, spring and autumn. Methods. In spring 2019, we conducted a reconnaissance survey on the status of the naur and its habitat in the Manang and Nar Phu valleys of the Annapurna Conservation Area, Nepal. In spring and autumn 2020 and 2021, we observed 360 focal naur individuals (180 individuals in each valley), using the vigilance behaviour methodology to examine the behaviour of the naur. Key results. There was little difference in the size of the naur groups between the Manang and Nar Phu valleys. The naur were twice as vigilant in Manang (15%), where there are snow leopards and wolves, as they were in Nar Phu (9%), with only snow leopards. The distance from the naur to escape cover was significantly shorter in Manang than in Nar Phu valley. Naur used significantly more rolling terrain in Nar Phu than in Manang. Conclusions. The return of wolves to the Manang valley may have resulted in an increase in the level of naur vigilance. Most likely, the wolves in Manang have already had an effect on the female-to-young-ratio, and this effect will possibly have important consequences forthe naur population, as well as at the ecosystem level in the future. Other key determining factors, such as the climate crisis and changes in local resources, could have a significant impact on the naur population, indicating the need for more research. Implications. The findings of this study would provide valuable baseline information for the design of a science-based conservation strategy for conservation managers and scientists on naur, snow leopards and wolves. [ABSTRACT FROM AUTHOR]

The article focuses on utilizing ancient DNA and precise cranial morphological examination to reassess the species identification of mammalian skulls from the Laosicheng site in Hunan Province, China. Topics include the initial classification of the skulls as Canids, the subsequent determination of both skulls as leopards through genetic analysis, and the insight gained into the maternal genetic history of East Asian leopards, contributing to a better understanding of their population genetics.

Polar bears (Ursus maritimus), Eurasian lynx (Lynx lynx) and snow leopards (Panthera uncia) are elusive large carnivores inhabiting snow-covered and remote areas. Their effective conservation and management are challenged by inadequate population information, necessitating development of novel data collection methods. Environmental DNA (eDNA) from snow tracks (footprints in snow) has identified species based on mitochondrial DNA, yet its utility for individual-based analyses remains unsolved due to challenges accessing the nuclear genome. We present a protocol for capturing nuclear eDNA from polar bear, Eurasian lynx and snow leopard snow tracks and verify it through genotyping at a selection of microsatellite markers. We successfully retrieved nuclear eDNA from 87.5% (21/24) of wild polar bear snow tracks, 59.1% (26/44) of wild Eurasian lynx snow tracks, and the single snow leopard sampled. We genotyped over half of all wild polar bear samples (54.2%, 13/24) at five loci, and 11% (9/44) of wild lynx samples and the snow leopard at three loci. Genotyping success from Eurasian lynx snow tracks increased to 24% when tracks were collected by trained rather than untrained personnel. Thirteen wild polar bear samples comprised 11 unique genotypes and two identical genotypes; likely representing 12 individual bears, one of which was sampled twice. Snow tracks show promise for use alongside other non-invasive and conventional methods as a reliable source of nuclear DNA for genetic mark-recapture of elusive and threatened mammals. The detailed protocol we present has utility for broadening end user groups and engaging Indigenous and local communities in species monitoring. [ABSTRACT FROM AUTHOR]

Wildlife is an important part of natural ecosystems and protecting wildlife plays a crucial role in maintaining ecological balance. The wildlife detection method for images and videos based on deep learning can save a lot of labor costs and is of great significance and value for the monitoring and protection of wildlife. However, the complex and changing outdoor environment often leads to less than satisfactory detection results due to insufficient lighting, mutual occlusion, and blurriness. The TMS-YOLO (Takin, Monkey, and Snow Leopard-You Only Look Once) proposed in this paper is a modification of YOLOv7, specifically optimized for wildlife detection. It uses the designed O-ELAN (Optimized Efficient Layer Aggregation Networks) and O-SPPCSPC (Optimized Spatial Pyramid Pooling Combined with Cross Stage Partial Channel) modules and incorporates the CBAM (Convolutional Block Attention Module) to enhance its suitability for this task. In simple terms, O-ELAN can preserve a portion of the original features through residual structures when extracting image features, resulting in more background and animal features. However, O-ELAN may include more background information in the extracted features. Therefore, we use CBAM after the backbone to suppress background features and enhance animal features. Then, when fusing the features, we use O-SPPCSPC with fewer network layers to avoid overfitting. Comparative experiments were conducted on a self-built dataset and a Turkish wildlife dataset. The results demonstrated that the enhanced TMS-YOLO models outperformed YOLOv7 on both datasets. The mAP (mean Average Precision) of YOLOv7 on the two datasets was 90.5% and 94.6%, respectively. In contrast, the mAP of TMS-YOLO in the two datasets was 93.4% and 95%, respectively. These findings indicate that TMS-YOLO can achieve more accurate wildlife detection compared to YOLOv7. [ABSTRACT FROM AUTHOR]

The mechanisms of interactions between apex and smaller carnivores may range from competition to facilitation. Conversely, interactions between predators and prey are mainly driven by the prey reducing the likelihood of encounters with predators. In this study, we investigated (1) the spatiotemporal interactions between an apex (the snow leopard) and a meso-predator (the red fox), and (2) the temporal interactions between the snow leopard and its potential prey (Siberian ibex, argali, Asian wild ass, Tolai hare) through camera trapping in the Mongolian Great Gobi-A. The probability of occurrence for the red fox was higher in the presence of the snow leopard than in its absence. Moreover, the red fox activity pattern matched that of the snow leopard, with both species mostly active at sunset. This positive spatiotemporal interaction suggests that the presence of the snow leopard may be beneficial for the red fox in terms of scavenging opportunities. However, other explanations may also be possible. Amongst prey, the Siberian ibex and the argali were mainly active during the day, whereas the Asian wild ass and the Tolai hare were more nocturnal. These findings suggest that potential prey (especially the Siberian ibex and the argali) may shape their behavior to decrease the opportunity for encounters with the snow leopard. Our results have revealed complex interactions between apex and smaller predators and between apex predator and its potential prey. [ABSTRACT FROM AUTHOR]

Fostering human–wildlife coexistence necessitates a thorough and nuanced grasp of local attitudes toward wildlife. Attitudes can vary substantially based on the sociodemographic backgrounds of individuals within a society. This study examines Tibetan attitudes toward large carnivores, emphasizing the importance of contextualization in discerning the effects of sociodemographic factors on attitudes. We began by analyzing existing research on Tibetan attitudes toward wildlife in China, identifying previously studied sociodemographic variables. We then executed an online survey to evaluate the affective, behavioral, cognitive, and overall attitudes of ethnic Tibetans in China toward snow leopards (Panthera uncia), gray wolves (Canis lupus), and brown bears (Ursus arctos). Our findings show that while factors such as gender, age, religious identity, and level of education shape these attitudes, their influence differs depending on the specific attitude component and the target animal under examination. Therefore, making broad generalizations about sociodemographic differences in attitudes can be misleading. It is imperative for attitude research to clearly define the attitude component (what type of attitude), object (attitude toward what), and circumstance (attitude in which situation) being studied. Conducting ethnographic fieldwork in collaboration with local cultural experts can deepen our understanding of local perspectives and the ways sociodemographic factors influence attitudes. Such insights are pivotal for developing conservation strategies attuned to local sociocultural contexts. [ABSTRACT FROM AUTHOR]

The enteric virome, comprising a complex community of viruses inhabiting the gastrointestinal tract, plays a significant role in health and disease dynamics. In this study, the fecal sample of a wild snow leopard was subjected to viral metagenomic analysis using a double barcode Illumina MiSeq platform. The resulting reads were de novo assembled into contigs with SOAPdenovo2 version r240. Additional bioinformatic analysis of the assembled genome and genome annotation was done using the Geneious prime software (version 2022.0.2). Following viral metagenomic analysis and bioinformatic analysis, a total of 7 viral families and a novel specie of bocaparvovirus tentatively named Panthera uncia bocaparvovirus (PuBOV) with GenBank accession number OQ627713 were identified. The complete genome of PuBOV was predicted to contain 3 open reading frames (ORFs), contains 5433 nucleotides and has a G + C content of 47.40 %. BLASTx analysis and pairwise sequence comparison indicated the novel virus genome was a new species in the genus Bocaparvovirus based on the species demarcation criteria of the International Committee on the Taxonomy of Viruses. This study provides valuable insights into the diversity and composition of the enteric virome in wild endangered snow leopards. The identification and characterization of viruses in wildlife is crucial for developing effective strategies to manage and mitigate potential zoonotic and other viral disease threats to human and animal health.

The document titled "Snow Leopard Reports" is a scientific journal published by the Snow Leopard Network (SLN) and the Swedish University of Agricultural Sciences (SLU). The journal aims to provide the latest information on snow leopard biology and conservation through contributions from practitioners and researchers. It encourages the exchange of knowledge and offers open access to its publications. The journal covers various topics related to snow leopards, including their ecology, conservation status, and habitat. It also includes guidelines for authors interested in submitting manuscripts. The journal is published under the Creative Commons CC-BY 4.0 License, and there are no fees for publishing in Snow Leopard Reports. [Extracted from the article]

Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations.

Livestock depredation by snow leopards Panthera uncia poses a significant threat to the livelihoods of pastoral communities and engenders negative attitudes towards the species, threatening its survival. We conducted 104 semi-structured interviews within local communities (livestock herders and owners) in the Nyesyang valley of Manang District, in the Annapurna Conservation Area, western Nepal, to assess the status of livestock depredation and community attitudes towards snow leopards. During February 2016–January 2018, respondents reportedly lost 279 livestock to snow leopards (mean loss of 1.3 livestock per household), comprising 3.7% of the total stockholding in 2018. This loss amounts to a monetary loss of USD 319 per annum for each household. Only half of the households who lost livestock to snow leopards in the previous 2 years received compensation from the Conservation Area. Almost an equal proportion of respondents held positive (42%) and negative (41%) attitudes towards snow leopards. An ordered logistic regression analysis revealed that being a woman, being illiterate, owning a high number of large-bodied livestock and relying primarily on agropastoralism were factors associated significantly with negative attitudes towards snow leopards. We recommend focusing conservation education on illiterate community members and engaging more women in conservation programmes, along with a community-based insurance scheme for large-sized livestock to mitigate losses and improve local community attitudes towards snow leopards.

Abstract Fostering human–wildlife coexistence necessitates a thorough and nuanced grasp of local attitudes toward wildlife. Attitudes can vary substantially based on the sociodemographic backgrounds of individuals within a society. This study examines Tibetan attitudes toward large carnivores, emphasizing the importance of contextualization in discerning the effects of sociodemographic factors on attitudes. We began by analyzing existing research on Tibetan attitudes toward wildlife in China, identifying previously studied sociodemographic variables. We then executed an online survey to evaluate the affective, behavioral, cognitive, and overall attitudes of ethnic Tibetans in China toward snow leopards (Panthera uncia), gray wolves (Canis lupus), and brown bears (Ursus arctos). Our findings show that while factors such as gender, age, religious identity, and level of education shape these attitudes, their influence differs depending on the specific attitude component and the target animal under examination. Therefore, making broad generalizations about sociodemographic differences in attitudes can be misleading. It is imperative for attitude research to clearly define the attitude component (what type of attitude), object (attitude toward what), and circumstance (attitude in which situation) being studied. Conducting ethnographic fieldwork in collaboration with local cultural experts can deepen our understanding of local perspectives and the ways sociodemographic factors influence attitudes. Such insights are pivotal for developing conservation strategies attuned to local sociocultural contexts.