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

Abstract: Snow Leopard poaching and trafficking – referred to herein as Snow Leopard crime – is revisited 13 years after TRAFFIC’s first report on the subject, Fading Footprints: The Killing and Trade of Snow Leopards (Theile, 2003). This report builds on a preliminary analysis published in May 2016 (Maheshwari and von Meibom, 2016). It addresses a major information gap concerning the linkage between retaliatory killing for livestock depredation and poaching for trade, and the scale at which both are taking place. The focus is on 12 Snow Leopard range countries: Afghanistan, Bhutan, China, India, Kazakhstan, the Kyrgyz Republic, Mongolia, Nepal, Pakistan, Russia, Tajikistan and Uzbekistan. There is little evidence of illegal trade in Snow Leopards outside these countries.
Two sets of data were developed in the research for this report. The first is a Snow Leopard crime database containing records of seizures (legal actions taken by government authorities) and observations (reports of Snow Leopard killing, capture or trade, including market surveys). The database contains records dating back to 1989 (which are discussed in Annex 1), but the analysis focuses on the period since the release of Fading Footprints, the first TRAFFIC report: 2003-June 2016. Seizures are a function of law enforcement effort, effectiveness and publicization, as well as the magnitude of illegal trade, and so observations are an important component of the analysis, particularly for countries where few seizures are made or reported. However, detailed observations are not regularly published, and may be are biased toward countries where there is more effort, so a simple multiple choice survey was designed for Snow Leopard experts. Completed by 42 of them in 2016, and covering all 12 range countries, the survey asked experts for their total number of known cases, case outcomes, and reasons for killing Snow Leopards.
Based on the average number of cases known to experts over the average of nine years spent working in their geographic areas of knowledge, 221-450 Snow Leopards were estimated to have been poached annually since 2008. With the average rate of poaching detection estimated by experts at less than 38%, these numbers could be substantially higher. Of these, 55% are killed in retaliation for livestock depredation, 21% killed for trade and 18% taken by non-targeted methods such as snares. Although retaliatory killing is estimated to account for roughly half of Snow Leopard poaching (55%), experts estimate that there is a 50-50 chance (48%) that a poaching attempt will take place after a depredation incident. On average, experts estimate that 60% of retaliatory and non-targeted poaching incidents result in an attempt to sell; accounting for differences in this estimate between countries, a total of 108-219 Snow Leopards potentially enter into illegal trade. Over 90% of annual Snow Leopard poaching is estimated to occur in five range countries: China (103-236), Mongolia (34-53), Pakistan (23-53), India (21-45) and Tajikistan (20-25).
Given the uncertainties about population numbers, as well as the low rate of poaching detection, it is difficult to assess the impact of this offtake on the viability of the species. Snow Leopard range is used as a proxy for Snow Leopard population numbers; most national Snow Leopard population estimates are derived from extrapolating study site densities across likely range. Although China had by far the highest number of seizures and observations (309 Snow Leopards from 2003-2016) and the highest annual poaching estimate, its share of Snow Leopard crime was not disproportionate to its large share (at least 60%) of Snow Leopard range. Countries flagged for having disproportionate shares of crime levels relative to share of range included Afghanistan and Russia (seizures and observations), and Nepal and Pakistan (annual poaching estimates). China and Russia were most frequently identified as destinations for animals poached in other countries.
The expert survey indicates that the scale of Snow Leopard crime is more serious than apparent from the annual average number of Snow Leopard seized (18) or observed (34) from 2003-2016. This could be in part due to the challenges of law enforcement in the Snow Leopard’s remote montane habitat. Indeed, the survey found that an average of 23% of known cases were investigated by authorities, and only 14% prosecuted.
The minimum number of Snow Leopards in the seizures and observations database fell by 43% from the first half of the analysis period (2003-2009) compared to the second (2010-June 2016) (from 451 to 259). However, the decline was in the number of Snow Leopards observed in trade and in market surveys, which fell by 80% (from 280 to 54), with the largest decline taking place in China. There were more market surveys in the first half of the analysis period (13) than the second (5), but they
TRAFFIC report: An Ounce Of Prevention: Snow Leopard Crime Revisited xi
were repeated in the same places (Kabul, Afghanistan and cities in western China), and far fewer skins were seen (for example, 60 skins in the Chinese city of Linxia in 2007, compared to one in 2011). The numbers of Snow Leopards in other observations were roughly equivalent for the two periods (108 in the first and 100 in the second), but the numbers in trade observations fell by 46% (from 52 to 28). Otherwise, the number of Snow Leopards seized rose by 16% (from 115 to 133), and the number of individual seizure cases rose by 77% (from 44 to 78). The number of poached Snow Leopards seized doubled (from 31 to 60), and the observed number of poached Snow Leopards also increased by 14% (from 56 to 64). The number of Snow Leopards in trade seizures was the same in both periods (55), and the number smuggled roughly equivalent (29 seized in the first period, and 24 seized and observed in the second).
There are three possible interpretations of this situation of rising numbers of Snow Leopards poached (as measured by seizures and observations), steady numbers in smuggling and trade seizures, and steeply declining numbers in trade observations and market surveys. It could be that the limitations of available data and the authors’ inability to collect all of it has resulted in an incorrect picture. It is apparent that illegal trade has become more clandestine and difficult to detect in most countries, so that secondly, it could be increasing, as indicated by the apparent rise in poaching numbers. However, the number of Snow Leopards seized in large cases (more than 3 Snow Leopards per case), indicative of organized trafficking activity, declined from 60 in the 2003-2009 to 23 in 2010-2016. This points to a third possibility: that trade (and perhaps demand) is declining, possibly due to increased enforcement, but local people continue to opportunistically sell Snow Leopards they poached primarily to protect livestock.
With skins being the main Snow Leopard product type in trade (78%), the primary motive for buyers appears to be for display, with some observations of skins hanging on walls in homes and restaurants, as well as stuffed taxidermy specimens. Priced in the thousands of US dollars, skins have been described as a “symbol of wealth and power.” However, there probably exists very little in the way of a definable consumer segment deliberately seeking out such items. They are most likely purchased opportunistically – “impulse buys” – and most consumers probably only buy one in their lifetime. Once in a home, the illegal possession has very low probability of detection, and moreover law enforcement authorities may be reluctant to investigate in such situations. The purchase itself also has a low probability of detection, as indicated by the sharp decline in observed numbers of Snow Leopard skins being offered for sale. While growing personal wealth in Asia has been highlighted as a primary driver of illegal wildlife trade, poverty is also recognized as a driver, and the Snow Leopard trade may be more driven by rural people in Snow Leopard habitat attempting to make money and make up for livestock losses to predators than by wealthy people placing orders for luxury household decorations. Unlike the demand-driven Tiger trade (Annex 2), to which it otherwise bears many similarities, the market for Snow Leopards may be more a function of supply, and actions should focus on the communities living near Snow Leopards to reduce incentives to poach and sell. This notion is reflected in the aphorism behind the title of this report: an ounce of prevention equals a pound of cure. Preventing livestock losses, offsetting the costs of losses and improving community support for Snow Leopard conservation are the most important approaches to tackling the problem of Snow Leopard trafficking.
Recommendations focus on addressing the leading cause of Snow Leopard poaching (retaliatory killing/Human-Wildlife Conflict) as well as measures to stem illegal trade, and are primarily targeted at the 12 Snow Leopard range countries. They are aligned with existing recommendations and planned actions, including CITES recommendations, draft Decisions and consultant’s reports around implementation of Resolution Conf. 12.5 (CITES 2015, 2016; Nowell and Pervushina, 2014); the Global Snow Leopard and Ecosystem Protection Program (GSLEP, 2013, 2015, n.d.); the SLN’s Snow Leopard Survival Strategy (SLN, 2014); and WWF’s Snow Leopard Species Action Plan (WWF, 2015 and Sharma, 2016). There was also an informal discussion about recommendations to address poaching and illegal trade at the Second China Snow Leopard Forum, held in Urumqi, Xinjiang province 24-26 August 2016 (B. Weckworth, Panthera, pers. comm.).
Recommendations are grouped according to four primary actors in Snow Leopard conservation: 1) governments of Snow Leopard range countries; 2) communities living in Snow Leopard range; 3) conservation organizations and Snow Leopard experts; and 4) donor governments and agencies.

Abstract: Rapidwarming in High Asia is threatening its unique ecosystemand endemic species, especially the endangered
snow leopard (Panthera uncia). Snow leopards inhabit the alpine zone between snow line and tree line, which
contracts and expands greatly during glacier-interglacial cycles. Here we assess impacts of climate change on
global snow leopard habitat from the last glacial maximum (LGM; 21 kyr ago) to the late 21st century. Based
on occurrence records of snow leopards collected across all snow leopard range countries from 1983 to 2015,
we built a snow leopard habitat model using the maximum entropy algorithm (MaxEnt 3.3.3k). Then we
projected this model into LGM, mid-Holocene and 2070. Analysis of snow leopard habitat map from LGM to
2070 indicates that three large patches of stable habitat have persisted from the LGM to present in the Altai,
Qilian, and Tian Shan-Pamir-Hindu Kush-Karakoram mountain ranges, and are projected to persist through the
late 21st century. These climatically suitable areas account for about 35% of the snow leopard's current extent,
are large enough to support viable populations, and should function as refugia for snow leopards to survive
through both cold and warm periods. Existence of these refugia is largely due to the unique mountain environment
in High Asia, which maintains a relatively constant arid or semi-arid climate. However, habitat loss leading
to fragmentation in the Himalaya and Hengduan Mountains, as well as increasing human activities, will present
conservation challenges for snow leopards and other sympatric species.

Abstract: Livestock depredation by large carnivores is frequently reported in Qomolangma (Mt. Everest) National Nature Reserve, Tibet Autonomous Region of China. Seeking to minimize conflicts, we assessed depredation patterns and ways to upgrade the compensation program. We gathered 9193 conflict records over 2011–2013 to determine the extent and tempo-spatial patterns of the depredation.Weinterviewed 22 local officials and 94 residents to learn their views on depredations and to assess the adequacy of compensation. Data showed that wolves (Canis lupus), lynx (Lynx lynx), and snowleopards (Panthera uncia)were themajor livestock predators. Total livestock
loss accounted for 1.2% of the entire stockholding (n=846,707) in the region. Wolves and lynx tended to take sheep and goats,whereas snowleopards favored yaks and cattle in relation to their proportional abundance. Predation mostly occurred in March through July. Livestock depredation by all predators when combined was best explained by terrain ruggedness and density of small- and large-bodied livestock. Temporal and spatial predation patterns variedamong carnivores.Most respondents (74%) attributed depredation causes to an increase in carnivore abundance. Only 7% blamed lax livestock herding practice for predation losses. Five percent said that
predation was the result of livestock population increases, while 11% had no idea. The compensation scheme was found to be flawed in all aspects—predation verification, application procedure, compensation standard, operational resource allocation, making payment, and other problems. To enhance management for human–carnivore coexistence, we recommend a problem-oriented, integrated, adaptive approach that targets the complex social context of the conflict and addresses the interconnected functions of decision-making process.

Abstract: Human population growth and concomitant increases in demand for natural resources pose threats to many wildlife populations. The landscapes used by the endangered snow leopard (Panthera uncia) and their prey is increasingly subject to major changes in land use. We aimed to assess the influence of 1) key human activities, as indicated by the presence of mining and livestock herding, and 2) the presence of a key prey species, the blue sheep (Pseudois nayaur), on probability of snow leopard site use across the landscape. In Gansu Province, China, we conducted sign surveys in 49 grid cells, each of 16 km2 in size, within a larger area of 3392 km2. We analysed the data using likelihood-based habitat occupancy models that explicitly account for imperfect detection and spatial auto-correlation between survey transect segments. The model-averaged estimate of snow leopard occupancy was high [0.75 (SE 0.10)], but only marginally higher than the naïve estimate (0.67). Snow leop- ard segment-level probability of detection, given occupancy on a 500 m spatial replicate, was also high [0.68 (SE 0.08)]. Prey presence was the main determinant of snow leopard site use, while human disturbances, in the form of mining and herding, had low predictive power. These findings suggest that snow leopards continue to use areas very close to such disturbances, as long as there is sufficient prey. Improved knowledge about the effect of human activity on large carnivores, which require large areas and intact prey populations, is urgently needed for conservation planning at the local and global levels. We highlight a number of methodological considerations that should guide the design of such research.