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| Author | Simms, A., Moheb, Z., Salahudin, Ali, H., Ali, I. & Wood, T. | ||||
| Title | Saving threatened species in Afghanistan: snow leopards in the Wakhan Corridor | Type | Journal Article | ||
| Year | 2011 | Publication | International Journal of Environmental Studies | Abbreviated Journal | |
| Volume | 68 | Issue | 3 | Pages | 299-312 |
| Keywords | Snow leopard; Camera trap; Governance; Rangers; Corral; Insurance | ||||
| Abstract | The Wakhan Corridor in northeast Afghanistan is an area known for relatively abundant wildlife and it appears to represent Afghanistan’s most important snow leopard landscape. The Wildlife Conservation Society (WCS) has been working in Wakhan since 2006. Recent camera trap surveys have documented the presence of snow leopards at 16 different locations in the landscape. These are the first camera trap records of snow leopards in Afghanistan. Threats to snow leopards in the region include the fur trade, retaliatory killing by shepherds and the capture of live animals for pets. WCS is developing an integrated management approach for this species, involving local governance, protection by a cadre of rangers, education, construction of predator-proof livestock corrals, a livestock insurance program, tourism and research activities. This management approach is expected to contribute significantly to the conservation of snow leopards and other wildlife species in the Wakhan. | ||||
| Address | Wildlife Conservation Society, International Programs, 2300 Southern Blvd, New York 10460, USA | ||||
| Corporate Author | Wildlife Conservation Society | Thesis | |||
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| Language | English | Summary Language | Original Title | ||
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| Call Number | SLN @ rana @ | Serial | 1347 | ||
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| Author | Johansson, Torbjorn, A. Johansson, Orjan. McCarthy, Tom | ||||
| Title | An Automatic VHF Transmitter Monitoring System for Wildlife Research | Type | Journal Article | ||
| Year | 2011 | Publication | Wildlife Society Bulletin | Abbreviated Journal | |
| Volume | 9999 | Issue | Pages | 1-5 | |
| Keywords | automatic system, monitoring, pulse detection, trap-site transmitter, VHF transmitter monitoring | ||||
| Abstract | We describe an automated system for monitoring multiple very high frequency (VHF) transmitters, which are commonly employed in wildlife studies. The system consists of a microprocessor-controlled radio-frequency monitor equipped with advanced signal-processing capabilities that communicates with, and relays information to, a user interface unit at a different location. the system was designed for a capture-and-release snow leopard (Panthera uncia) study in Mongolia, where checking trap-site transmitters manually entailed climbing a hill with telemetry equipment several times each day and night. Here, it monitors the trap-site transmitters and actively produces an alarm when any of the traps have been triggered, or if the system has lost contact with any trap-transmitter. The automated system allowed us to constantly monitor transmitters from a research camp, and alerted us each time a trap was triggered. The system has been field-tested for 83 days from mid-September 2010 to mid-december 2010 in the Tost mountain range on the edge of Mongolia's Gobi desert. During this time, the system performed reliably, responding correctly to 45 manually generated alarms and 9 animal captures. The system considerably shortens the time the captured animals spend in traps, and also mitigates the need for manual trap-site transmitter monitoring, greatly reducing risk to the animal and the human effort involved. | ||||
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Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1379 | ||
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| Author | Thapa, K., Pradhan, N, M, B., Barker, J., Dhakal, M., Bhandari, A, R., Gurung, G, S., Rai, D, P., Thapa, G, J., Shrestha, S., Singh, G, R. | ||||
| Title | High elevation record of a leopard cat in the Kangchenjunga Conservation Area, Nepal | Type | Journal Article | ||
| Year | 2013 | Publication | Cat News | Abbreviated Journal | |
| Volume | Issue | No 58 | Pages | 26-27 | |
| Keywords | leopard cat, camera trapping survey, Nepal | ||||
| Abstract | During a camera trapping survey in Khambachen valley of Kangchenjunga Conservation Area KCA from 24 April to 26 May 2012 we camera trapped one leopard cat Prionailurus bengalensis at an altitude of 4,474 meter. This is probably the highest altitudinal record for the species in its range. Additionally, one melanistic leopard Panthera pardus was captured at an altitude of 4,300 m, which is probably as well the highest documented record in the country. Yet at this stage, no obvious reason can explain these unusual high records for both species, thus more surveys are recommended for this region. |
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Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1394 | ||
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| Author | Ale, S., Shrestha, B., and Jackson, R. | ||||
| Title | On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal | Type | Journal Article | ||
| Year | 2014 | Publication | Journal of Threatened Taxa | Abbreviated Journal | |
| Volume | Issue | 6(3) | Pages | 5534-5543 | |
| Keywords | Annapurna, Blue Sheep, Buddhism, camera-trapping, Himalayas, Mustang, sign-survey, Snow Leopard. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1407 | ||
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| Author | Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. | ||||
| Title | Face Value: Towards Robust Estimates of Snow Leopard Densities | Type | Journal Article | ||
| Year | 2015 | Publication | Plos One | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models | ||||
| Abstract | When densities of large carnivores fall below certain thresholds, dramatic ecological effects can follow, leading to oversimplified ecosystems. Understanding the population status of such species remains a major challenge as they occur in low densities and their ranges are wide. This paper describes the use of non-invasive data collection techniques combined with recent spatial capture-recapture methods to estimate the density of snow leopards Panthera uncia. It also investigates the influence of environmental and human activity indicators on their spatial distribution. A total of 60 camera traps were systematically set up during a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve, Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays, representing an average capture success of 2.62 captures/100 trap-days. We identified a total number of 20 unique individuals from photographs and estimated snow leopard density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate that our estimates from the Spatial Capture Recapture models were not optimal to respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our results underline the critical challenge in achieving sufficient sample sizes of snow leopard captures and recaptures. Possible performance improvements are discussed, principally by optimising effective camera capture and photographic data quality. |
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| Call Number | SLN @ rakhee @ | Serial | 1431 | ||
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| Author | Alexander, S., A., Zhang, C., Shi, K., Riordan, P. | ||||
| Title | A granular view of a snow leopard population using camera traps in Central China | Type | Journal Article | ||
| Year | 2016 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | Issue | 197 | Pages | 27-31 | |
| Keywords | Snow leopard Camera trap China Density Monitoring | ||||
| Abstract | Successful conservation of the endangered snow leopard (Panthera uncia) relies on the effectiveness of monitoring programmes. We present the results of a 19-month camera trap survey effort, conducted as part of a longterm study of the snow leopard population in Qilianshan National Nature Reserve of Gansu Province, China. Weassessed the minimumnumber of individual snowleopards and population density across different sampling periods using spatial capture–recapture methods. Between 2013–2014, we deployed 34 camera traps across an area of 375 km2, investing a total of 7133 trap-days effort. Weidentified a total number of 17–19 unique individuals from photographs (10–12 adults, five sub-adults and two cubs). The total number of individuals identified and estimated density varied across sampling periods, between 10–15 individuals and 1.46–3.29 snow leopards per 100 km2 respectively. We demonstrate that snow leopard surveys of limited scale and conducted over short sampling periods only present partial views of a dynamic and transient system.We also underline the challenges in achieving a sufficient sample size of captures and recaptures to assess trends in snow leopard population size and/or density for policy and conservation decision-making |
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Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1436 | ||
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| Author | Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C. | ||||
| 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 | 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. |
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Approved | no | |||
| Call Number | Serial | 1626 | |||
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| Author | Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V. | ||||
| 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 | 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. | ||||
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Approved | no | |||
| Call Number | Serial | 1622 | |||
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| Author | Zhang, L., Lian, X., Yang, X | ||||
| Title | Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions | Type | Journal Article | ||
| Year | 2020 | Publication | Artic, Antartic and Alpine Research | Abbreviated Journal | |
| Volume | 52 | Issue | 1 | Pages | 541-550 |
| Keywords | Snow leopard; population density; camera trapping; Tibetan Plateau; alpine ecosystem | ||||
| Abstract | Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream. | ||||
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Approved | no | |||
| Call Number | Serial | 1619 | |||
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| Author | Durbach, I., Borchers, D., Sutherland, C., Sharma, K. | ||||
| 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 | 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. |
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| Call Number | Serial | 1618 | |||
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