SLN Home

Snow Leopard Bibliography

Home |  Show All |  Simple Search |  Advanced Search
Quick Search:
21-30 of 32 records found matching your query:
toggle visibility Search & Display Options
Select All    Deselect All << 1 2 3 4 >>
List View
 | 
Citations
 | 
Details
   print
  Records Links
Author Durbach, I., Borchers, D., Sutherland, C., Sharma, K. url 
  Title Fast, flexible alternatives to regular grid designs for spatial capture–recapture. Type Research Article
  Year 2020 Publication Methods in Ecology and Evolution Abbreviated Journal  
  Volume Issue Pages 1-13  
  Keywords (down) camera trap, population ecology,sampling, spatial capture-recapture, surveys  
  Abstract Spatial capture–recapture (SCR) methods use the location of

detectors (camera traps, hair snares and live-capture traps) and the

locations at which animals were detected (their spatial capture

histories) to estimate animal density. Despite the often large expense

and effort involved in placing detectors in a landscape, there has been

relatively little work on how detectors should be located. A natural

criterion is to place traps so as to maximize the precision of density

estimators, but the lack of a closed-form expression for precision has

made optimizing this criterion computationally demanding. 2. Recent

results by Efford and Boulanger (2019) show that precision can be well

approximated by a function of the expected number of detected

individuals and expected number of recapture events, both of which can

be evaluated at low computational cost. We use these results to develop

a method for obtaining survey designs that optimize this approximate

precision for SCR studies using count or binary proximity detectors, or

multi-catch traps. 3. We show how the basic design protocol can be

extended to incorporate spatially varying distributions of activity

centres and animal detectability. We illustrate our approach by

simulating from a camera trap study of snow leopards in Mongolia and

comparing estimates from our designs to those generated by regular or

optimized grid designs. Optimizing detector placement increased the

number of detected individuals and recaptures, but this did not always

lead to more precise density estimators due to less precise estimation

of the effective sampling area. In most cases, the precision of density

estimators was comparable to that obtained with grid designs, with

improvement in some scenarios where approximate CV(¬D) < 20% and density

varied spatially. 4. Designs generated using our approach are

transparent and statistically grounded. They can be produced for survey

regions of any shape, adapt to known information about animal density

and detectability, and are potentially easier and less costly to

implement. We recommend their use as good, flexible candidate designs

for SCR surveys when reasonable knowledge of model parameters exists. We

provide software for researchers to construct their own designs, in the

form of updates to design functions in the r package oSCR.		  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1618  
Permanent link to this record
 
 
Author Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V. url 
  Title First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal Type Journal Article
  Year 2020 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-4  
  Keywords (down) Camera trap, corridor, Gaurishankar Conser- vation Area, Nepal, Panthera uncia, prey abundance, transboundary, snow leopard  
  Abstract The snow leopard Panthera uncia is the flagship species of the high mountains of the Himalayas. There is po- tentially continuous habitat for the snow leopard along the northern border of Nepal, but there is a gap in information about the snow leopard in Gaurishankar Conservation Area. Previous spatial analysis has suggested that the Lamabagar area in this Conservation Area could serve as a transbound- ary corridor for snow leopards, and that the area may con- nect local populations, creating a metapopulation. However, there has been no visual confirmation of the species in Lamabagar. We set !! infrared camera traps for " months in Lapchi Village of Gaurishankar Conservation Area, where blue sheep Pseudois nayaur, musk deer Moschus leucogaster and Himalayan tahr Hemitragus jemlahicus, all snow leopard prey species, had been observed. In November #$!% at &,!$$ m, ' km south-west of Lapchi Village, one camera recorded three images of a snow leopard, the first photographic evidence of the species in the Conservation Area. Sixteen other species of mammals were also recorded. Camera-trap records and sightings indicated a high abun- dance of Himalayan tahr, blue sheep and musk deer. Lapchi Village may be a potentially important corridor for snow leopard movement between the east and west of Nepal and northwards to Quomolongma National Park in China. However, plans for development in the region present in- creasing threats to this corridor. We recommend develop- ment of a transboundary conservation strategy for snow leopard conservation in this region, with participation of Nepal, China and international agencies.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1622  
Permanent link to this record
 
 
Author Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C. url 
  Title Conservation and people: Towards an ethical code of conduct for the use of camera traps in wildlife research Type Journal Article
  Year 2020 Publication Ecological Solutions and Evidence Abbreviated Journal  
  Volume Issue Pages 1-6  
  Keywords (down) camera trap, code of conduct, ethics, human rights, law, PARTNERS principles for community- based conservation, privacy, snow leopard  
  Abstract 1. Camera trapping is a widely employed tool in wildlife

research, used to estimate animal abundances, understand animal

movement, assess species richness and under- stand animal behaviour. In

addition to images of wild animals, research cameras often record human

images, inadvertently capturing behaviours ranging from innocuous

actions to potentially serious crimes.

2. With the increasing use of camera traps, there is an urgent need to

reflect on how researchers should deal with human images caught on

cameras. On the one hand, it is important to respect the privacy of

individuals caught on cameras, while, on the other hand, there is a

larger public duty to report illegal activity. This creates ethical

dilemmas for researchers.

3. Here, based on our camera-trap research on snow leopards Panthera

uncia, we outline a general code of conduct to help improve the practice

of camera trap based research and help researchers better navigate the

ethical-legal tightrope of this important research tool.		  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1626  
Permanent link to this record
 
 
Author Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S. url 
  Title Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India Type Journal Article
  Year 2020 Publication Biology bulletin Abbreviated Journal  
  Volume 47 Issue 6 Pages 655-664  
  Keywords (down) biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard  
  Abstract 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 pre- dictive ability of

the model. The model predicted that there was 42432 km2 of potential

habitat for snow leop- ards in the western Himalaya region. Protected

status was available for 11247 km2 (26.5%), but the other 31185 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.		  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1629  
Permanent link to this record
 
 
Author Bagchi, S., Sharma, R. K., Bhatnagar, Y.V. url 
  Title Change in snow leopard predation on livestock after revival of wild prey in the Trans-Himalaya Type Journal Article
  Year 2020 Publication Wildlife Biology Abbreviated Journal  
  Volume Issue Pages 1-11  
  Keywords (down) arid ecosystems, diet analysis, human-wildlife conflict, Panthera, predator, rangeland  
  Abstract Human–wildlife conflict arising from livestock-losses to large carnivores is an important challenge faced by conservation. Theory of prey–predator interactions suggests that revival of wild prey populations can reduce predator’s dependence on livestock in multiple-use landscapes. We explore whether 10-years of conservation efforts to revive wild prey could reduce snow leopard’s Panthera uncia consumption of livestock in the coupled human-and-natural Trans-Himalayan ecosystem of northern India. Starting in 2001, concerted conservation efforts at one site (intervention) attempted recovery of wild- prey populations by creating livestock-free reserves, accompanied with other incentives (e.g. insurance, vigilant herding). Another site, 50km away, was monitored as status quo without any interventions. Prey remains in snow leopard scats were examined periodically at five-year intervals between 2002 and 2012 to determine any temporal shift in diet at both sites to evaluate the effectiveness of conservation interventions. Consumption of livestock increased at the status quo site, while it decreased at the intervention-site. At the intervention-site, livestock-consumption reduced during 2002–2007 (by 17%, p = 0.06); this effect was sustained during the next five-year interval, and it was accompanied by a persistent increase in wild prey populations. Here we also noted increased predator populations, likely due to immigration into the study area. Despite the increase in the predator population, there was no increase in livestock-consumption. In contrast, under status quo, dependence on livestock increased during both five-year intervals (by 7%, p=0.08, and by 16%, p=0.01, respectively). These contrasts between the trajectories of the two sites suggest that livestock-loss can potentially be reduced through the revival of wild prey. Further, accommodating counter-factual scenarios may be an important step to infer whether conservation efforts achieve their targets, or not.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1623  
Permanent link to this record
 
 
Author Filla, M., Lama, R. P., Ghale, T. R., Signer, J., Filla, T., Aryal, R. R., Heurich, M., Waltert, M., Balkenhol, N., Khorozyan, I. pdf 
  Title In the shadows of snow leopards and the Himalayas: density and habitat selection of blue sheep in Manang, Nepal Type Journal Article
  Year 2020 Publication Ecology and Evolution Abbreviated Journal  
  Volume 2021 Issue 11 Pages 108-122  
  Keywords (down) Annapurna Conservation Area, bharal, Panthera uncia, predator-prey, Pseudois nayaur  
  Abstract There is a growing agreement that conservation needs to be proactive and pay increased attention to common species and to the threats they face. The blue sheep (Pseudois nayaur) plays a key ecological role in sensitive high-altitude ecosystems of Central Asia and is among the main prey species for the globally vulnerable snow leopard (Panthera uncia). As the blue sheep has been increasingly exposed to human pressures, it is vital to estimate its population dynamics, protect the key populations, identify important habitats, and secure a balance between conservation and local livelihoods. We conducted a study in Manang, Annapurna Conservation Area (Nepal), to survey blue sheep on 60 transects in spring (127.9 km) and 61 transects in autumn (134.7 km) of 2019, estimate their minimum densities from total counts, compare these densities with previous estimates, and assess blue sheep habitat selection by the application of generalized additive models (GAMs). Total counts yielded minimum density estimates of 6.0–7.7 and 6.9–7.8 individuals/km2 in spring and autumn, respectively, which are relatively high compared to other areas. Elevation and, to a lesser extent, land cover indicated by the normalized difference vegetation index (NDVI) strongly affected habitat selection by blue sheep, whereas the effects of anthropogenic variables were insignificant. Animals were found mainly in habitats associated with grasslands and shrublands at elevations between 4,200 and 4,700 m. We show that the blue sheep population size in Manang has been largely maintained over the past three decades, indicating the success of the integrated conservation and development efforts in this area. Considering a strong dependence of snow leopards on blue sheep, these findings give hope for the long-term conservation of this big cat in Manang. We suggest that long-term population monitoring and a better understanding of blue sheep–livestock interactions are crucial to maintain healthy populations of blue sheep and, as a consequence, of snow leopards.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1683  
Permanent link to this record
 
 
Author Johansson, O., Ausilio, G., Low, M., Lkhagvajav, P., Weckworth, B., Sharma, K. url 
  Title The timing of breeding and independence for snow leopard females and their cubs. Type Journal Article
  Year 2020 Publication Mammalian Biology Abbreviated Journal  
  Volume Issue Pages  
  Keywords (down) Age of independence; Life-history trade-offs; Panthera uncia; Parental care; Pre-dispersal behavior; Separation; Subadult  
  Abstract Significant knowledge gaps persist on snow leopard demography

and reproductive behavior. From a GPS-collared population in Mongolia,

we estimated the timing of mating, parturition and independence. Based

on three mother–cub pairs, we describe the separation phase of the cub

from its mother as it gains independence. Snow leopards mated from

January–March and gave birth from April–June. Cubs remained with their

mother until their second winter (20–22 months of age) when cubs started

showing movements away from their mother for days at a time. This

initiation of independence appeared to coincide with their mother mating

with the territorial male. Two female cubs remained in their mothers’

territory for several months after initial separation, whereas the male

cub quickly dispersed. By comparing the relationship between body size

and age of independence across 11 solitary, medium-to-large felid

species, it was clear that snow leopards have a delayed timing of

separation compared to other species. We suggest this may be related to

their mating behavior and the difficulty of the habitat and prey capture

for juvenile snow leopards. Our results, while limited, provide

empirical estimates for understanding snow leopard ecology and for

parameterizing population models.		  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1613  
Permanent link to this record
 
 
Author Johansson, O., Samelius, G., Wikberg, E, Chapron, G., Mishra, C., Low, M url 
  Title Identification errors in camera- trap studies result in systematic population overestimation Type Journal Article
  Year 2020 Publication Scientific Reports Abbreviated Journal  
  Volume 10 Issue 6393 Pages 1-10  
  Keywords (down)  
  Abstract Reliable assessments of animal abundance are key for successful conservation of endangered species. For elusive animals with individually-unique markings, camera-trap surveys are a benchmark standard for estimating local and global population abundance. Central to the reliability of resulting abundance estimates is the assumption that individuals are accurately identified from photographic captures. To quantify the risk of individual misidentification and its impact on population abundance estimates we performed an experiment under controlled conditions in which 16 captive snow leopards (Panthera uncia) were camera-trapped on 40 occasions and eight observers independently identified individuals and recaptures. Observers misclassified 12.5% of all capture occasions, resulting in systematically inflated population abundance estimates on average by one third (mean ± SD = 35 ± 21%). Our results show that identifying individually-unique individuals from camera-trap photos may not be as reliable as previously believed, implying that elusive and endangered species could be less abundant than current estimates indicate.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1496  
Permanent link to this record
 
 
Author Pal, R., Bhattacharya, T., Sathyakumar, S. url 
  Title Woolly flying squirrel Eupetaurus Cinereus: A new addition to the diet of snow leopard Panthera Uncia Type Short Note
  Year 2020 Publication Journal Bombay Natural History Society Abbreviated Journal  
  Volume 117 Issue Pages  
  Keywords (down)  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1606  
Permanent link to this record
 
 
Author Shrestha, B., Kindlmann, P. url 
  Title Implications of landscape genetics and connectivity of snow leopard in the Nepalese Himalayas for its conservation. Type Scientific Report
  Year 2020 Publication Nature Research Abbreviated Journal  
  Volume 10 Issue 19853 Pages 1-11  
  Keywords (down)  
  Abstract 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.		  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1628  
Permanent link to this record
Select All    Deselect All << 1 2 3 4 >>
List View
 | 
Citations
 | 
Details
   print
toggle visibility
Save Citations:
Export Records:
Home CQL Search  |  Library Search  |  Show Record  |  Extract Citations Help