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Oli, M.K. |
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Title |
Ecology and conservation of snow leopard project |
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1991 |
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6628 |
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1-9 |
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1990; conservation; ecology; Report; snow leopard; Wwf |
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WWF Project #6628: progress report 2 for the period December 1990 – March 1991. |
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SLN @ rana @ 984 |
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743 |
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Namgay, K. |
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Title |
Snow Leopard and Prey Population Conservation in Bhutan |
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2007 |
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1-5 |
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2000; 30; activities; activity; asia; Bhutan; China; conservation; dates; Dorji; field; government; habitat; habitats; India; International; International-Snow-Leopard-Trust; international snow leopard trust; Jigme; Jigme-Dorji; leopard; leopards; methods; national; National-park; national park; Nepal; Pakistan; park; plan; population; populations; prey; program; programs; project; region; regional; Report; Slims; snow; snow-leopard; snow-leopards; snow leopard; snow leopards; staff; status; strategy; Support; survey; surveys; techniques; training; trust; ungulate; us; using; wild; wildlife; work; workshop; world-wildlife-fund; world wildlife fund; Wwf |
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Snow leopard conservation work in Bhutan dates back to 1999 and 2000 when the International Snow Leopard Trust-in collaboration with the Royal Government of Bhutan and World Wildlife Fund-initiated a training workshop. More than 30 government staff were trained in SLIMS survey techniques. As a part of the training exercise, a preliminary survey on snow leopard was also carried out using the SLIMS methods in Jigme Dorji Wangchuck National Park. Based on the survey results, we estimated there was a population of 100 snow leopards in the wild and 10,000 km2 of habitat. In 2005, World Wildlife Fund (WWF) organized the WWF/South Asia Regional Workshop on Snow leopard Conservation in Bhutan. Both regional (Bhutan, India, China, Nepal and Pakistan) and international experts revisited the snow leopard programs and developed a work plan for the overall conservation of the snow leopard in the region. This led to WWF's Regional Snow leopard Conservation Strategy. WWF is pleased to submit our final report to the International Snow Leopard Trust on the oneyear, $8,000 grant in support of Snow Leopard and Prey Population Conservation in Bhutan. With the support of the Snow Leopard Trust, we have made great strides towards achieving our goal for this project: To determine the current status of snow leopard and ungulate prey populations in prime snow leopard habitats. Major accomplishments and activities completed thanks to the generous support of the International Snow Leopard Trust include:
Signed of a Terms of Reference between Royal Government, International Snow Leopard
Trust – India, World Wildlife Fund and International Snow Leopard Trust -US;
Developed a joint revised project work plan; and
Purchased basic field supplies and equipment needed for the surveys planned. |
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Project funded by International Snow Leopard Trust Small Grants Program, 2006. Contact Thomas Dillon (202) 778-9766 phone or email Thomas.dillon@wwfus.org |
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SLN @ rana @ 1074 |
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714 |
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Andriuskevicius, A. |
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Occurrance of Snow Leopards in the Soviet Union |
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1980 |
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International Pedigree Book of Snow Leopards |
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2 |
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59-69 |
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2290; area; areas; browse; distribution; park; parks; protected; protected-area; protected area; protected areas; refuge; reserve; reserves; Russia; snow-leopard; snow-leopards; snow leopard; snow leopards; soviet; Soviet-Union; soviet union; status; U.S.S.R.; union; Ussr |
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Outlines status and distribution of snow leopard in USSR, including comments on reserves created for the species. |
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SLN @ rana @ 51 |
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73 |
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Ming, M. |
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Title |
Study on Snow Leopards in Xinjiang (Training Guide) |
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Miscellaneous |
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2004 |
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1-25 |
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5360; study; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; Xinjiang |
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Training Guide supported by ISLT and XCF. In Chinese. |
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SLN @ rana @ 381 |
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680 |
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Fox, J. |
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Title |
A Review of the Status and Ecology of the Snow Leopard (Panthera uncia) |
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1989 |
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5440; status; ecology; snow; snow leopard; snow-leopard; leopard; panthera; panthera uncia; Panthera-uncia; uncia |
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International Snow Leopard Trust |
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Booklet |
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SLN @ rana @ 528 |
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285 |
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Gao, Y., Wang, Y., Lee, A. T. L., Liu, Y., Luo, Y., Orrick, K., Alexander, J. S., Sangpo, J. T., Clark, S. G. |
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Contextualizing sociodemographic differences in Tibetan attitudes toward large carnivores |
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2023 |
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Conservation Science and Practice |
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e13049 |
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1-15 |
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ABC model, brown bear, gray wolf, snow leopard, Tibet |
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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 sociodemo- graphic 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. |
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SLN @ rakhee @ |
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1736 |
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Sloane, A.; Kelly, C.; McDavitt, S.; Marples, N. |
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Big cats in captivity: a quantitative analysis of enrichment |
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1998 |
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Adv.Etho |
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33 |
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43 |
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abnormal-behavior; behavior; captive-animal-care; endangered; threatened-species; zoos; enrichment; abnormal; captive; Animal; care; threatened; species; browse; 1280; study; big; big cats; Cats; cat; zoo; effects; Lions; lion; jaguar; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; behaviour; using; activity; activities; change; presence; enclosures; range; scent; cage; horse; hides; management |
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Studies on three species of big cats at Dublin Zoo have led to firm conclusions about the effects of certain forms of enrichment, some of which will be presented here. Lions, jaguars, and snow leopards were studied over two years and their behaviours quantified using focal animal sampling during selected hours during daylight. By comparison of these activity budgets with and without the enrichments being present, it was possible to identify the exact behavioural changes caused by each enrichment method, and to quantify these changes. In this contribution we present results showing that the presence of a platform in both lion and jaguar enclosures dramatically reduced stereotypic pacing behaviour. We will demonstrate that the effects of short term enrichment devices may have a wide range of effects on behaviours which outlast the presence of the stimulus. For instance scents added to the cage, or food/play items such as horse hides, hidden fish or ice-blocks often reduce pacing and increase resting later in the day, even after the cats have ceased using the enrichment items. This reduction in pacing and increase in resting time often meant that the amount of the enclosure used per hour was actually reduced with the presence of new stimuli, as result opposite to what might have been expected. The results of these studies will be discussed in relation to effective animal management. |
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WILDLIFE REVIEW ABSTRACTS (“Contributions to the International Symposium on Physiology and Ethology of Wild and Zoo Animals, Berlin, Germany, 7-10 October 1998”; Hofer, Heribert; Pitra, Christian; Hofmann, Reinhold R., editors). |
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SLN @ rana @ 349 |
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897 |
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Thapa, K. |
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Is their any correlation between abundance of blue sheep population and livestock depredation by snow leopards in the Phu Valley, Manang District, Annapurna Conservation Area? Final report |
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2005 |
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1-19 |
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abundance; blue; blue sheep; blue-sheep; sheep; population; livestock; livestock depredation; livestock-depredation; depredation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; valley; Manang; annapurna; annapurna conservation area; Annapurna-Conservation-Area; conservation; area; Report; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; Nepal |
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This study was undertaken in the Phu valley of Manang district in the Annapurna Conservation Area, Nepal,
Spring, 2004 and 2005. I used the Snow Leopard Management Information System (“second order” survey technique), to determine
the relative abundance of snow leopards in delineated areas in Phu valley. Transects routes were plotted by
randomly selected feasible landforms such as along ridgelines, cliff bases and river bluffs where snow
leopards sign is likely to be found. Altogether, 16 transects (total length of 7.912 km) were laid down (mean
transect length=0.495 km). They revealed, 54 sign sites (both relic and non-relic) and altogether 88 signs (72
scrapes, 11 feces, 3 scent mark, 2 pugmarks and 1 hair) were recorded (6.8 site/km and 11.1 signs/km). There
were 61.1% non-relic and 38.9% relic sites. The density of snow leopards in Phu Valley may be 4-5 snow
leopards/100 kmý.It was found that the Ghyo block had the highest sign density (13.6 mean sign item/km)
and Phu block (9.8 mean sign item/km) and the lowest in Ngoru block (3.9 mean sign item/km.). For blue sheep, direct count method was applied from different appropriate vantage points (fixed-point
count). I counted total individuals in each herd and classified all individuals whenever possible, using 8 X24
binocular and 15-60x spotting scope. A total 37 blue sheep herds and 1209 individuals were observed in
192.25 kmý of the study area (blue sheep density, 6.3 kmý). Average herd size was 32.68. Herd size varied
from 1 to 103 animals (the largest so far recorded). The average sex ratio male to female for the entire survey
area was 0.67. Recruitment rate was 47.13. The ratio of yearlings to adult female was 0.45. In Ghyo block
had total 168 blue sheep (area, 44.08 km2 or 3.8/ km2 i.e. 137.2 kg/ kmý). Blue sheep density in Ngoru block
showed 4.7/km2 (area, 65.47 km2). Highest density of blue sheep among three blocks was recorded in Phu
block, 8.9/km2 (or 320 kg/km2) in its 82.70 km2 area. A standard questionnaire was designed, and interviews conducted for relevant information was collected on
livestock depredation patterns (total household survey). Out of 33 households surveyed, 30 reported that they
had livestock depredation by the snow leopard in 2004. Altogether 58 animals were reportedly lost to snow
leopards (3.1% of the total mortality). Out of the estimated standing available biomass (1, 83,483kg) in the
Phu valley at least 2220 kg or 1.3% of the total livestock biomass was consumed by snow leopards in the
year of our study (2004). It was estimated that in the Phu valley annually 1.8 animals were lost per household
to snow leopards. This means approx. Rs.413560 (US$ 5,908) is lost annually in the valley (US$
179/household/annum). Ghyo block, had the highest animals loss (53.4%), followed by Phu block (36.2%)
and Ngoru block (10.3%) to snow leopards. There is positive correlation among the densities of blue sheep, relative abundance of the snow leopard and
livestock depredation. Blue sheep is the main prey species of the snow leopard in Phu valley and its
conservation therefore matters to reduce livestock depredation. A general patterns appears here that shows
that blue sheep (prey) abundance determine snow leopard (predator) abundance and that livestock
depredation by snow leopards may be minimal where there is good population of blue sheep, and vice versa. |
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Project funded by International Snow Leopard Trust Small Grants Program, 2005. Annapurna Conservation Area Project, Pokhara, Nepal. |
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Call Number |
SLN @ rana @ 1078 |
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959 |
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Author |
Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques |
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2006 |
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Wildlife Society Bulletin |
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34 |
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3 |
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772-781 |
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abundance; camera trapping; capture rates; dentistry; identification; India; photography; snow leopard; Uncia uncia |
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Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models. |
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SLN @ rana @ 912 |
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476 |
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McCarthy, K.; Fuller, T.; Ming, M.; McCarthy, T.; Waits, L.; Jumabaev, K. |
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Title |
Assessing Estimators of Snow Leopard Abundance |
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Miscellaneous |
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2008 |
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Journal of Widlife Management |
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72 |
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8 |
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1826-1833 |
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abundance; camera,capture-recapture,density,index,predator:prey ratios,techniques,Tien Shan,Uncia; leopard; SaryChat; sign surveys; Slims; snow; snow-leopard; snow leopard; Tomur |
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The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates
(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation. |
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SLN @ rana @ 881 |
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653 |
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