Abstract: 1. Camera trapping, paired with analytical methods for estimating occupancy, abundance and other ecological parameters, can yield information with direct consequences for wildlife management and conservation. Although ecological information is the primary target of most camera trap studies, detectability influences every aspect from design to interpretation.
2. Concepts and methods of time-toevent analysis are directly applicable to camera trapping, yet this statistical field has thus far been ignored as a way to analyze photographic capture data. to illustrate the use to time-to-event statistics and to better understand how photographic evidence accumulates, we explored patterns in tow related measure of detectability: Detection probability and time to detection. We analyzed camera trap data for three sympatric carnivores ( snow Leopard, red fox and stone marten) in the mountains of northern Pakistan and tested predictions about patterns in detectability across species, sites and time.
3. We found species-specific differences in the magnitude of detectability and the factors influencing it, reinforcing the need to consider determinants of detectability in study design and to account for them during analysis. Photographic detectability of snow leopard was noticeably lower than that of red fox, but comparable to detectability of stone marten. Site-specific attributes such as the presence of carnivore sign ( snow Leopard), terrain ( snow leopard and red fox) and application for lures ( red fox) influenced detectability. For the most part, detection probability was constant over time.
4. Species- specific differences in factors determining detectability make camera trap studies targeting multiple species particularly vulnerable to misinterpretation if the hierarchical origin of the data is ignored. Investigators should consider not only the magnitude of detectability, but also the shape of the curve describing the cumulative process of photographic detection, as this has consequences for both determining survey effort and the election of analytical models. Weighted time-to -event analysis can complement occupancy analysis and other hierarchal methods by providing additional tools for exploring camera trap data and testing hypotheses regarding the temporal aspect of photographic evidence accumulation.

Abstract: Managing wildlife-caused damage to human interests has become an important aspect of contemporary conservation management. Conflicts between pastoralism and carnivore conservation over livestock depredation pose a serious challenge to endangered carnivores worldwide, and have become an important livelihood concern locally. Here, we first review the primary causes of these conflicts, their socio-ecological correlates, and commonly employed mitigation measures. We then describe a community-based program to manage conflicts over livestock depredation by snow leopards Panthera uncia and wolves Canis lupus. A threats-based conceptual model of conflict management is presented. Conflicts over livestock depredation are characterized by complex, multi-scale interactions between carnivore and livestock behavioral ecology, animal husbandry, human psyche, culture, world-views, and socio-economic and education levels of affected peoples. A diversity of commonly employed conflict-mitigation measures is available. They aim at (i) reducing livestock depredation through better livestock herding, use of physical, chemical or psychological barriers, removal of carnivores, and use of livestock guard animals, (ii) offsetting economic losses through damage compensation and insurance programmes, and (iii) increasing peoples’ tolerance of carnivores through indirect approaches such as conservation education and economic incentives. For effective management, conflicts need to be understood along two important dimensions, viz., the reality of damage caused to humans, and the psyche and perceptions of humans who suffer wildlife caused damage. The efficacy of commonly used mitigation measures is variable. A combination of measures that reduce the level of livestock depredation, share or offset economic losses, and improve the social carrying capacity for carnivores will be more effective in managing conflicts than standalone measures

Abstract: The Endangered snow leopard Panthera uncia occurs
in the Central Asian Mountains, which cover c.  million
km. Little is known about its status in the Kyrgyz Alay
Mountains, a relatively narrow stretch of habitat connecting
the southern and northern global ranges of the species. In
 we gathered information on current and past (,
the last year of the Soviet Union) distributions of snow leopards
and five sympatric large mammals across , km
of the Kyrgyz Alay.We interviewed  key informants from
local communities. Across  -km grid cells we obtained
, and  records of species occurrence (site
use) in  and , respectively. The data were analysed
using themulti-season site occupancy framework to incorporate
uncertainty in detection across interviewees and time
periods. High probability of use by snow leopards in the past
was recorded in .% of the Kyrgyz Alay. Between the two
sampling periods % of sites showed a high probability of
local extinction of snow leopard. We also recorded high
probability of local extinction of brown bear Ursus arctos
(% of sites) and Marco Polo sheep Ovis ammon polii
(% of sites), mainly in regions used intensively by people.
Data indicated a high probability of local colonization by
lynx Lynx lynx in % of the sites. Although wildlife has
declined in areas of central and eastern Alay, regions in
the north-west, and the northern and southern fringes
appear to retain high conservation value.

Abstract: Applied ecology lies at the intersection of human societies and natural systems. Consequently, applied ecologists are constantly challenged as to how best to use ecological knowledge to influence the management of ecosystems (Habel et al. 2013). As Hulme (2011) has pointed out, to do so effectively we must leave our ivory towers and engage with stakeholders. This engagement is especially important and challenging in areas of the world where poverty, weak institutions and poor governance structures conspire to limit the ability of local communities to contribute to biodiversity conservation. These communities often bear disproportionate costs in the form of curtailed access to natural resources, ecosystem services, and developmental
programmes, and also suffer wildlife-caused damage, including injuries or loss of human life, and economic
and psychological impacts (Madhusudan & Mishra 2003). It is well-recognized that conservation efforts in large parts of the world historically have been perceived to be discriminatory by local people (Mishra 2016). The need for engagement with local communities is therefore embedded in the 2020 Aichi biodiversity targets and is widely thought to be critical to the success of conservation efforts. However, although the need for engagement is clear, as ecologists and practitioners we often have little formal training in how we should engage with local communities and how we can recognize the pitfalls and opportunities provided by developing genuine partnerships. The practical challenges of achieving effective engagement are considerable (Agrawal & Gibson 1999; Waylen et al. 2010, 2013), and such forays are fraught with difficulties and ethical considerations (Chan et al. 2007). When they are done badly, conservation interventions
can damage relationships and trust, and lead to serious injustice to local people and setbacks for ecological
outcomes (Duffy 2010). Much has been written on knowledge exchange and participatory research approaches (e.g. Reed et al. 2014 and references therein). This Practitioner’s Perspective
seeks to focus on the next logical step: the elements that practitioners and researchers need to consider when
engaging with communities to effect conservation. Engagement around the management of protected areas
has been discussed and formalized (e.g. Dudley 2008). Considerable literature has also emerged, particularly
from Africa, on the use and co-management of natural resources, commonly referred to as community-based natural resource management or CBNRM (e.g. Fabricius 2004; Roe, Nelson & Sandbrook 2009; Child & Barnes
2010). There have been attempts to draw general principles for CBNRM (e.g. Thakadu 2005; Gruber 2010). In
the related field of community-based conservation, however, while there have been efforts to draw lessons (e.g. Berkes 2004), little exists in terms of frameworks or guidelines for effectively working with local communities to effect biodiversity conservation in multi-use landscapes
(Mishra 2016). The eight principles for community-based conservation outlined here (Fig. 1) build on ideas developed in fields as diverse as applied ecology, conservation and natural
resource management, community health, social psychology, rural development, negotiation theory, and ethics
(see Mishra 2016). They have been developed, challenged and tested through 20 years of community experience andour own research on the endangered snow leopard Panthera uncia and its mountain ecosystems, in South and Central Asia. We suspect that with contextual adaptations, their relevance for applied ecologists and practitioners may be universal.

Abstract: The snow leopard Panthera uncia coexists with the wolf Canis lupus throughout most of its distribution range.
We analysed the food habits of snow leopards and wolves in their sympatric range in the Karakoram mountains of Pakistan. A total of 131 genotyped scats (N = 74, snow leopard; N = 57, Tibetan wolf) were collected during the cold periods (i.e. winter and spring) of 2011 and 2012 in the Hushey valley. Large mammals, i.e. livestock and ibex, accounted for 84.8 and 83.1% of the diet (relative frequency) of the snow leopard and the wolf, respectively. Domestic prey was the staple of the diet of both snow leopards (66.6%) and wolves (75.1%). Ibex Capra ibex, the only wild ungulate in our study area, contributed 18.2 and 16.9%of relative frequencies in the
diets of the snow leopard and the wolf, respectively. In winter, the snowleopard heavily relied on domestic sheep (43.3%) for food, whereas the wolf preyed mainly on domestic goats (43.4%). Differently from other study areas, both snow leopards and wolves showed no apparent prey preference (Jacobs
index: snow leopard min. − 0.098, max. 0.102; Tibetan wolf min. − 0.120, max. 0.03). In human depauperate areas, with livestock and only a few wild prey, should competitive interactions arise, two main scenarios could be expected, with either predator as a winner. In both cases, the best solution
could primarily impinge on habitat restoration, so that a balance could be found between these predators, who have already coexisted for thousands of years.