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.

Abstract: Livestock depredation by snow leopard and wolf is widespread across the Himalayan region (Jackson et al. 1996, Jackson and Wangchuk 2001; Mishra 1997, Oli et al 1994). For example, in India's Kibber Wildlife Sanctuary, Mishra (1997) reported losses amounting to 18% of the livestock holdings and valued at about US $138 per household. The villagers claimed predation rates increased after establishment of the sanctuary, but
surveys indicated a dramatic increase in livestock numbers accompanying changes in animal husbandry systems (Mishra 2000).

Abstract: Mankial is a sub-valley of the Swat Kohistan. Temperate ecosystem of the valley is intact to a greater extent, which provides habitat to a variety of species of plants, animals and birds. Snow leopard is reported from the valley. To confirm its occurrence, the HUJRA (Holistic Understanding for Justified Research and Action), conducted the study titled “Snow Leopard Survey in Mankial Valley, district Swat, NWFP”. The author provided technical support, while ISLT (The International Snow Leopard Trust) funded the project under its small grants program. The World Wide Fund for Nature-Pakistan (WWF-Pakistan) and the Mankial Community Organization (MCO) facilitated surveys under the project. Surveys revealed that Snow leopard visits parts of the Mankial valley in winter months. Information from the local community shows that Snow leopard remains in the Serai (an off-shoot of the Mankial Valley) from early winter to early spring. Intensive surveys of the prime snow leopard winter habitat in the valley found several snow leopard signs including pugmarks, feces, and scrapes. The study also found occurrence of prey species through indirect evidence though. However, information from the local community confirmed that in the recent past there was a good population of markhor in the valley, which is now reduced to less than 50, mostly due to hunting and habitat disturbance. Hunting is part of the local culture and lifestyle. During winter months hunting pressure is low, as most of the local community migrates to warmer plain areas than Mankial Valley. However, those who live in the area lop oak branches for feeding their livestock and cut trees for burning, in addition to hunting prey species of snow leopard. This has resulted in stunted oak vegetation in most of the lower reaches of the valley and decline of the markhor population.

Abstract: Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North).