Mapping the ghost : estimating probabilistic snow leopard distribution across Mongolia

We are grateful to Global Environment Facility, United Nations Development Program and Snow Leopard Trust for supporting the Global Snow Leopard and Ecosystem Protection Program and development of tools and methods for Population Assessment of the World's Snow leopards (PAWS).Aim Snow leopards are distributed across the mountains of 12 countries spread across 1.8 million km2 in Central and South Asia. Previous efforts to map snow leopard distributions have relied on expert opinions and modelling of presence-only data. Expert opinion is subjective and its reliability is difficult to assess, while analyses of presence-only data have tended to ignore the imperfect detectability of this elusive species. The study was conducted to prepare the first ever probabilistic distribution map of snow leopards across Mongolia addressing the challenge of imperfect detection.  Location We conducted sign-based occupancy surveys across 1,017 grid-cells covering 406,800 km2 of Mongolia's potential snow leopard range.  Methods Using a candidate model set of 31 ecologically meaningful models that used six site and seven sampling covariates, we estimate the probability of sites being used by snow leopards across the entire country.  Results Occupancy probability increased with greater terrain ruggedness, with lower values of vegetation indices, with less forest cover, and were highest at intermediate altitudes. Detection probability was higher for segments walked on foot, and for those in more rugged terrain. Our results showed broad agreement with maps developed using expert opinion and presence-only data but also highlighted important differences, for example in northern areas of Mongolia deemed largely unfavourable by previous expert opinion and presence-only analyses.  Main conclusions This study reports the first national-level occupancy survey of snow leopards in Mongolia and highlights methodological opportunities that can be taken to scale and support national-level conservation planning. Our assessments indicated that 0.5) probability of being used by snow leopards. We emphasize the utility of occupancy modelling, which jointly models detection and site use, in achieving these goals.Publisher PDFPeer reviewe

新疆北塔山地区雪豹及其食物资源调查初报

2004年9月对新疆东北部阿勒泰山系北塔山地区进行雪豹调查。主要采用样线调查和问卷调查相结合的方法,对15条样线和5个民族81人次进行了问卷调查。调查共发现雪豹痕迹67处,其中刨迹39处,占58.2%;粪便24处,占35.8%;气味标记1处,占1.5%;爪迹3处,占4.5%。发现雪豹主要食物北山羊4群,共23只;石鸡24群,共418只。被访问的81人次中,亲眼见过雪豹的有11人,占13.58%,没见过雪豹但是听说过的有17人,占20.99%,没有见过也没有听说当地有雪豹的有53人,占65.4%,了解到有雪豹袭击伤害家畜的有10人,占12.35%

新疆北塔山雪豹对秋季栖息地的选择

2004年9~10月,对新疆北塔山地区雪豹(Unicaunica)栖息地选择进行了调查。在选定的15条样带上测定了59个利用样方及30个任意样方的6种生境特征(海拔、地形、植被类型、生境平坦度、放牧状况和坡向),其结果如下:Vanderploeg和Scavia选择指数表明:雪豹对海拔、地形、植被类型、生境平坦度和坡向存在选择性:(1)雪豹偏好利用海拔2000~2200m,而避开2600~3000m区域;(2)倾向于悬崖底部和山嵴,避开山坡和山谷;(3)偏好于灌丛,避开森林;(4)避开平坦的开阔地;(5)倾向于选择非放牧区域活动;(6)倾向于选择北坡,避开南坡。对生境特征的主成分分析显示:前3个主成分(海拔、地形和植被类型)的累积贡献率达到75·76%,可以反映雪豹的栖息地特征,同时表明:影响雪豹栖息地选择的主要因素依次为放牧状况、植被类型、地形和生境平坦度

Temporal overlap among small- and medium-sized mammals in a grassland and a forest–alpine meadow of Central Asia

Assessing carnivores and prey temporal activity patterns as well as their overlap provides valuable insights into behavioural mitigations of competition. Moon phases may also play an important role in shaping wild mammals’ activity rhythms with prey showing peaks of activity in darkest nights. Camera trapping has enriched the possibility to conduct systematic studies of activity patterns and temporal niche overlap on mammalian guilds. In this study, we used camera traps to investigate intra-guild interactions and temporal partitioning among three meso-carnivores and their common prey in two Mongolian areas characterized, respectively, by a grassland and a forest–alpine meadow. We detected a moderate–high interspecific overlap in red foxes, pikas and tolai hares. We found a moderate overlap of temporal activity patterns among nocturnal carnivores as well as among nocturnal prey species. Interestingly, we observed a moderate overlap between hares and meso-carnivores. Amongst nocturnal species, the red fox and the stoat had a peak in activity in the brightest nights, the stone marten and the Mongolian silver vole preferred to range in dark nights, whereas activity of the tolai hare was not dependent on moon phases. Our work provides some first insights of temporal pattern interactions within a small- and meso-mammal assemblage in Central Asia. Our results indicate that meso-carnivores and their potential prey can co-occur in Central Mongolia by means of temporal partitionin

Activity overlap between mesocarnivores and prey in the Central Mongolian steppe

Research on the ecology and behaviour of mesocarnivores and their prey is scant in Mongolia. We investigated activity patterns of a guild of mesocarnivores (red fox, Pallas's cat and beech marten) and their prey (Siberian marmot, Daurian pika, Brandt vole, Mongolian gerbil and Mongolian silver vole) using 21 camera traps (effort = 1155 camera days) in Central Mongolia from 25st of May to 20th August 2019. Activity patterns of mesocarnivores were cathemeral (i.e. no difference between diurnal, nocturnal and crepuscular detections, although activity peaked at sunrise). Among prey, the Siberian marmot and the Daurian pika were diurnal, whereas the Mongolian gerbil and the Mongolian silver vole were not generally crepuscular. Beech marten, the smallest mesocarnivore species, was temporally segregated from the other (and larger) mesocarnivore species. Temporal segregation between mesocarnivores and prey was evident between the following pairs: red fox vs Brandt's vole and Mongolian gerbil; Pallas's cat vs Siberian marmot, Brandt's vole and Mongolian gerbil; and beech marten vs Siberian marmot, Daurian pika and the Mongolian silver vole. Activity overlap between mesocarnivores and prey ranged considerably. Activity overlap between the beech marten and prey was lower than that of the other mesocarnivores. Temporal overlap among mesocarnivores and between mesocarnivores and prey seemed to be related to species-specific traits, while also being mediated by local prey abundance. We suggest future surveys should be stratified based on habitat and on the target species, while also integrating different survey methods (e.g. camera traps and live trapping of small mammals)

新疆雪豹调查中的痕迹分析

雪豹(Unciauncia)属于中亚高山高度濒危动物,夜行性,极其罕见。新疆雪豹研究小组2004年9~11月,在新疆的北塔山、阿尔泰山东部、天山东部和托木尔峰地区大约9个地点,对雪豹的痕迹进行了全面调查。共计完成67个样线,总长度47776m,其中发现遗留痕迹的样线有27条,痕迹数118个,平均为2.47个/km。记录到的痕迹有粪团、嗅痕(气味标记)、足迹、刨痕、卧迹、爪印、毛发、尿迹、血迹、剩余食物(动物尸体)和吼声等。同步还完成了200余份问卷调查表,充分了解雪豹与当地居民的冲突。最后,通过痕迹学的分析,初步掌握雪豹的栖息地选择、领域范围、分布规律和相对密度。这对于种群数量估计和物种的保护管理具有重要意义

Genetic Variation in the Pallas’s Cat (<i>Otocolobus manul</i>) in Zoo-Managed and Wild Populations

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