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Author | Karanth, K.U., Nichols, J.D., Seidensticker, J., Dinerstein, E., David Smith, J.L., McDougal, C., Johnsingh, A.J.T., Chundawat, R.S., Thapar, V. | ||||
Title | Science deficiency in conservation practice: the monitoring of tiger populations in India | Type | Journal Article | ||
Year | 2003 | Publication | Animal Conservation | Abbreviated Journal | |
Volume | 6 | Issue | Pages | 141-146 | |
Keywords | population monitoring, sampling, tiger, pugmark, census, pugmark census | ||||
Abstract | Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement. | ||||
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Publisher | The Zoological Society of London | Place of Publication | United Kingdom | Editor | |
Language | English | Summary Language | Original Title | ||
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Call Number | SLN @ rana @ | Serial | 1307 | ||
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Author | Ferretti, F., Lovari, S., Minder, I., Pellizzi, B. | ||||
Title | Recovery of the snow leopard in Sagarmatha (Mt.Everest) National Park: effects on main prey | Type | Journal Article | ||
Year | 2014 | Publication | European Journal of Wildlife Research | Abbreviated Journal | |
Volume | Issue | 60 | Pages | 559-562 | |
Keywords | Predator–prey relationships . Small populations . Snow leopard . Himalayan tahr | ||||
Abstract | Consequences of predation may be particularly heavy on small populations of herbivores, especially if they are threatened with extinction. Over the 2006–2010 period, we documented the effects of the spontaneous return of the endangered snow leopard on the population of the vulnerable Himalayan tahr. The study area was an area of central Himalaya where this cat disappeared c. 40 years before, because of persecution by man. Snow leopards occurred mainly in areas close to the core area of tahr distribution. Tahr was the staple (56.3 %) of snow leopards. After the arrival of this cat, tahr decreased by more than 2/3 from 2003 to 2010 (mainly through predation on kids). Subsequently, the density of snow leopards decreased by 60%from2007 to 2010. The main prey of snow leopards in Asia (bharal, marmots) were absent in our study area, forcing snow leopards to specialize on tahr. The restoration of a complete prey spectrum should be favoured through reintroductions, to conserve large carnivores and to reduce exploitation of small populations of herbivores, especially if threatened. |
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Call Number | SLN @ rakhee @ | Serial | 1408 | ||
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Author | Mallon, D. P., Jackson, R. M. | ||||
Title | A downlist is not a demotion: Red List status and reality | Type | Journal Article | ||
Year | 2017 | Publication | Oryx | Abbreviated Journal | |
Volume | Issue | Pages | 1-5 | ||
Keywords | Cryptic, IUCN Red List, Panthera uncia, population estimate, snow leopard, species assessment | ||||
Abstract | Assessments of biodiversity status are needed to track trends, and the IUCN Red List has become the accepted global standard for documenting the extinction risk of species. Obtaining robust data on population size is an essential component of any assessment of a species� status, including assessments for the IUCN Red List. Obtaining such estimates is complicated by methodological and logistical issues, which are more pronounced in the case of cryptic species, such as the snow leopard Panthera uncia. Estimates of the total population size of this species have, to date, been based on little more than guesstimates, but a comprehensive summary of recent field research indicates that the conservation status of the snow leopard may be less dire than previously thought. A revised categorization, from Endangered to Vulnerable, on the IUCN Red List was proposed but met some opposition, as did a recent, similar recategorization of the giant panda Ailuropoda melanoleuca. Possible factors motivating such attitudes are discussed. Downlisting on the IUCN Red List indicates that the species concerned is further from extinction, and is always to be welcomed, whether resulting from successful conservation intervention or improved knowledge of status and trends. Celebrating success is important to reinforce the message that conservation works, and to incentivize donors. |
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Call Number | SLN @ rakhee @ | Serial | 1460 | ||
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Author | Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. | ||||
Title | Sampling bias in snow leopard population estimation studies | Type | Journal Article | ||
Year | 2019 | Publication | Population Eccology | Abbreviated Journal | |
Volume | Issue | Pages | 1-9 | ||
Keywords | camera trap, Central Asia, Himalaya, meta-analysis, monitoring, Panthera uncia, population ecology | ||||
Abstract | Accurate assessments of the status of threatened species and their conservation planning require reliable estimation of their global populations and robust monitoring of local population trends. We assessed the adequacy and suitability of studies in reliably estimating the global snow leopard (Panthera uncia) population. We compiled a dataset of all the peer-reviewed published literature on snow leopard population estimation. Metadata analysis showed estimates of snow leopard density to be a negative exponential function of area, suggesting that study areas have generally been too small for accurate density estimation, and sampling has often been biased towards the best habitats. Published studies are restricted to six of the 12 range countries, covering only 0.3�0.9% of the presumed global range of the species. Re-sampling of camera trap data from a relatively large study site (c.1684 km2) showed that small-sized study areas together with a bias towards good quality habitats in existing studies may have overestimated densities by up to five times. We conclude that current information is biased and inadequate for generating a reliable global population estimate of snow leopards. To develop a rigorous and useful baseline and to avoid pitfalls, there is an urgent need for (a) refinement of sampling and analytical protocols for population estimation of snow leopards (b) agreement and coordinated use of standardized sampling protocols amongst researchers and governments across the range, and (c) sampling larger and under-represented areas of the snow leopard's global range. |
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Call Number | SLN @ rakhee @ | Serial | 1477 | ||
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Author | Aruge, S., Batool, H., Khan, F. M., Abbas, F. I., Janjua, S | ||||
Title | A pilot study�genetic diversity and population structure of snow leopards of Gilgit-Baltistan, Pakistan, using molecular techniques. | Type | Journal Article | ||
Year | 2019 | Publication | PeerJ | Abbreviated Journal | |
Volume | Issue | 7672 | Pages | 1-14 | |
Keywords | Population, Genetics, Panthera uncia, Pakistan, Molecular markers | ||||
Abstract | Background: The Hindu Kush and Karakoram mountain ranges in Pakistan�s northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in dif!cult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan. Method: About 50 putative scat samples of snow leopard from !ve localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Signi!cant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang�phenol�chloroform method and successful ampli!cation of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done. Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 ampli!ed samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful ampli!cation of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identi!ed, showing low heterozygosity, while high gene "ow between population. Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversi!cation. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species. |
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Call Number | SLN @ rakhee @ | Serial | 1491 | ||
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Author | Poyarkov, A. D., Munkhtsog, B., Korablev, M. P., Kuksin, A. N., Alexandrov, D. Y., Chistopolova, M. D.,Hernandez-Blanco, J. A., Munkhtogtokh, O., Karnaukhov, A. S., Lkhamsuren, N., Bayaraa, M., Jackson, R. M., Maheshwari, A., Rozhnov, V. V. | ||||
Title | Assurance of the existence of a trans-boundary population of the snow leopard (Panthera uncia) at Tsagaanshuvuut – Tsagan- Shibetu SPA at the Mongolia-Russia border | Type | Journal Article | ||
Year | 2020 | Publication | Integrative Zoology | Abbreviated Journal | |
Volume | Issue | 15 | Pages | 224-231 | |
Keywords | FST, home range, Panthera uncia, snow leopard, trans-boundary population | ||||
Abstract | The existence of a trans-boundary population of the snow leopard (Panthera uncia) that inhabits the massifs of Tsagaanshuvuut (Mongolia) – Tsagan-Shibetu (Russia) was determined through non-invasive genetic analysis of scat samples and by studying the structure of territory use by a collared female individual. The genetic analysis included species identification of samples through sequencing of a fragment of the cytochrome b gene and individual identification using a panel of 8 microsatellites. The home range of a female snow leopard marked with a satellite Global Positioning System (GPS) collar was represented by the minimum convex polygon method (MCP) 100, the MCP 95 method and the fixed kernel 95 method. The results revealed insignificant genetic differentiation between snow leopards that inhabit both massifs (minimal fixation index [FST]), and the data testify to the unity of the cross-border group. Moreover, 5 common individuals were identified from Mongolian and Russian territories. This finding clearly shows that their home range includes territories of both countries. In addition, regular movement of a collared snow leopard in Mongolia and Russia confirmed the existence of a cross-border snow leopard group. These data support that trans-boundary conservation is important for snow leopards in both countries. We conclude that it is crucial for Russia to study the northern range of snow leopards in Asia. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1493 | ||
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Author | Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. | ||||
Title | Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study | Type | Journal Article | ||
Year | 2020 | Publication | bioRxiv | Abbreviated Journal | |
Volume | Issue | Pages | 1-21 | ||
Keywords | snow leopard, noninvasive genotyping, population dynamics, microsatellite, relatedness, diachronic monitoring, citizen science, Central Asia | ||||
Abstract | Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time. | ||||
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Call Number | Serial | 1602 | |||
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Author | Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C., Suryawanshi, K. | ||||
Title | Understanding population baselines: status of mountain ungulate populations in the Central Tien Shan Mountains, Kyrgyzstan | Type | Journal Article | ||
Year | 2020 | Publication | Mammalia | Abbreviated Journal | |
Volume | Issue | Pages | 1-8 | ||
Keywords | conservation; human-use landscapes; hunting concession; mountain ungulates; population baselines; protected areas. | ||||
Abstract | We assessed the density of argali (Ovis ammon) and ibex (Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use landscape which is a partly licenced hunting concession for mountain ungulates and has several livestock herders and their permanent residential structures. Population monitoring of mountain ungulates can help in setting measurable conservation targets such as appropriate trophy hunting quotas and to assess habitat suitability for predators like snow leopards (Panthera uncia). We employed the double-observer method to survey 573 km2 of mountain ungulate habitat inside Sarychat and 407 km2 inside Koiluu. The estimated densities of ibex and argali in Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI 1.01–2.20) individuals km-2, respectively. Total ungulate density in Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record argali in Koiluu, whereas the density of ibex was 0.75 (95% CI 0.50–1.27) individuals km-2. While strictly protected areas can achieve high densities of mountain ungulates, multi-use areas can harbour meaningful though suppressed populations. Conservation of mountain ungulates and their predators can be enhanced by maintaining Sarychat-like “pristine” areas interspersed within a matrix of multi-use areas like Koiluu. |
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Call Number | Serial | 1610 | |||
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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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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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Call Number | Serial | 1619 | |||
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