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Title: Wild Predators, Livestock, and Free Ranging Dogs: Patterns of
Livestock Mortality and Attitudes of People Toward Predators in an
Urbanizing Trans-Himalayan Landscape

Author: Pahuja, M., Sharma, R. K.

Abstract: Livestock depredation by large carnivores is a significant
source of conflicts over predators and an important conservation and
economic concern. Preventing livestock loss to wild predators is a
substantial focus of human-carnivore conflict mitigation programs. A key
assumption of the preventive strategy is reduction in the livestock
losses leading to a positive shift in the attitudes toward predators.
Therefore, it is important to quantify the true extent of livestock
mortality caused by wild predators and its influence on attitudes of the
affected communities. We examined seasonal and spatial patterns of
livestock mortality and factors influencing people’s attitudes toward
wild predators i.e., snow leopards (Panthera uncia) and wolves (Canis
lupus chanco) and free-ranging dogs (Canis lupus familiaris) in a
Trans-Himalayan urbanizing landscape in India. We used systematic
sampling to select the survey households and implemented a semi-
structured questionnaire to respondents. The sampled villages (n = 16)
represent a mosaic of urban and agricultural ecosystems within a radius
of 40 km of Leh town. In 2016–2017, 93% of the sampled households lost
livestock to predators, accounting for 0.93 animals per household per
year. However, of the total events of livestock mortality, 33% were
because of weather/natural events, 24% by snow leopards, 20% because of
disease, 15% because of free-ranging dogs and 9% because of wolves. The
annual economic loss per household because of livestock mortality was
USD 371, a substantial loss given the average per capita income of USD
270 in the region. Of the total loss, weather/natural events caused
highest loss of USD 131 (35%), followed by snow leopards USD 91 (25%),
disease USD 87 (24%), free ranging dogs USD 48 (13%), and wolves USD 14
(4%). Despite losing a considerable proportion of livestock (33 %) to
wild predators, respondents showed a positive attitude toward them but
exhibited neutral attitudes toward fre
e-ranging dogs. Gender emerged as the most important determinant of
attitudes toward wild predators, with men showing higher positive
attitude score toward wild predators than women. Our findings highlight
the context specific variation in human-wildlife interactions and
emphasize that generalizations must be avoided in the absence of site
specific evidence.

URL: https://snowleopardnetwork.org/b/show.php?record=1667

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Title: Modelling Potential Distribution of Snow Leopards in Pamir,
Northern Pakistan: Implications for Human–Snow Leopard Conflicts

Author: Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N.,
Bohnett, E., Yang, F., Khan, I., Ahmad, B.

Abstract: The snow leopard (Panthera uncia) is a cryptic and rare big
cat inhabiting Asia’s remote and harsh elevated areas. Its population
has decreased across the globe for various reasons, includ􏰜 ing
human–snow leopard conflicts (HSCs). Understanding the snow leopard’s
distribution range and habitat interactions with human/livestock is
essential for understanding the ecological context in which HSCs occur
and thus gives insights into how to mitigate HSCs. In this study, a
MaxEnt model predicted the snow leopard’s potential distribution and
analyzed the land use/cover to de􏰜 termine the habitat interactions of
snow leopards with human/livestock in Karakoram–Pamir, northern
Pakistan. The results indicated an excellent model performance for
predicting the species’ potential distribution. The variables with
higher contributions to the model were the mean diurnal temperature
range (51.7%), annual temperature range (18.5%), aspect (14.2%), and
land cover (6.9%). Th
e model predicted approximately 10% of the study area as a highly
suitable habitat for snow leopards. Appropriate areas included those at
an altitude ranging from 2721 to 4825 m, with a mean elevation of 3796.9
± 432 m, overlapping between suitable snow leopard habitats and human
presence. The human encroachment (human settlements and agriculture) in
suitable snow leopard habitat increased by 115% between 2008 and 2018.
Increasing encroachment and a clear overlap between snow leopard
suitable habitat and human activities, signs of growing competition
between wildlife and human/livestock for limited rangeland resources,
may have contributed to increasing HSCs. A sound land use plan is needed
to minimize overlaps between suitable snow leopard habitat and human
presence to mitigate HSCs in the long run.

URL: https://snowleopardnetwork.org/b/show.php?record=1664

 

 

Title: 􏱈􏱀No silver bullet? Snow leopard prey selection in Mt.
Kangchenjunga, Nepal 􏰸􏰫􏱌􏰬􏰩􏰵 􏰽􏰴􏱌􏱌􏰩􏰻􏱍 􏰹􏰳􏱀􏱎 􏱌􏰩􏱀􏰺􏰲􏰵􏰭 􏰺􏰵􏰩􏰶􏱈􏱀 􏰸􏰫􏱌􏰬􏰩􏰵 􏰽􏰴􏱌􏱌􏰩􏰻􏱍
􏰹􏰳􏱀􏱎 􏱌􏰩􏱀􏰺􏰲􏰵􏰭 􏰺􏰵􏰩􏰶 􏰸􏰩􏱌􏰩􏰪􏰻􏰫􏱀􏰳 􏰫􏰳 􏱏􏰻􏱃 􏱐􏰲􏰳􏰟􏰪􏱑􏰩􏰳􏱒􏰴􏰳􏰟􏰲􏱓 􏱈􏰩􏰺􏰲􏱌􏰸􏰩􏱌􏰩􏰪􏰻􏰫􏱀􏰳 􏰫􏰳 􏱏􏰻􏱃
􏱐􏰲􏰳􏰟􏰪􏱑􏰩􏰳􏱒􏰴􏰳􏰟􏰲􏱓 􏱈􏰩Author: Thapa, K., Schmitt, N., Pradhan, N. M. B., Acharya, H. R.,
Rayamajhi, S.

Abstract: In this study, we investigated the impact of domestic and wild
prey availability on snow leopard prey preference in the Kangchenjunga
Conservation Area of eastern Nepal-a region where small domestic
livestock are absent and small wild ungulate prey are present. We took a
comprehensive approach that combined fecal genetic sampling, macro- and
microscopic analyses of snow leopard diets, and direct observation of
blue sheep and livestock in the KCA. Out of the collected 88 putative
snow leopard scat samples from 140 transects (290km) in 27 (4x4km2)
sampling grid cells, 73 (83%) were confirmed to be from snow leopard.
The genetic analysis accounted for 19 individual snow leopards (10 males
and 9 females), with a mean population size estimate of 24 (95% CI:
19-29) and an average density of 3.9 snow leopards/100km2 within 609km2.
The total available prey biomass of blue sheep and yak was estimated at
355,236 kg (505 kg yak/km2 and 78kg blue sheep/km2). From the available
prey
biomass, we estimated snow leopards consumed 7% annually, which
comprised wild prey (49%), domestic livestock (45%). and 6% unidentified
items. the estimated 47,736 kg blue sheep biomass gives a snow
leopard-to-blue sheep ratio of 1:59 on a weight basis. The high
preference of snow leopard to domestic livestock appears to be
influenced by a much smaller available biomass of wild prey then in
other regions of Nepal (e.g., 78kg/km2 in the KCA compared with a range
of 200-300 kg/km2 in other regions of Nepal?. Along with livestock
insurance scheme improvement, there needs to be a focus on improved
livestock guarding, predator-proof corrals as well as engaging and
educating local people to be citizen scientists on the importance of
snow leopard conservation, involving them in long-term monitoring
programs and promotion of ecotourism.

URL: https://snowleopardnetwork.org/b/show.php?record=1665

 

Title: Applying the double observer methodology for assessing blue sheep
population size in Nar Phu valley, Annapurna Conservation Area, Nepal

Author: Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R.
K.,

Abstract: This study was undertaken in spring, 2019 to assess the
applicability of the double-observer survey method for estimating blue
sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District
located in Annapurna Conservation Area of northern Nepal. Since counting
large mammals in rugged mountain habitat poses a special challenge, we
tested the efficacy of the double observer method for generating robust
population estimates for this important protected area. The overall
detection probability for observers (O1 and O2) was 0.94 and 0.91 for a
total of 106 groups comprised of 2059 individual blue sheep. We
estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI
2059–2405) for the 246.2 km2 of sampled habitat. We determined blue
sheep to be widely distributed within the study area with a mean density
of 8.4 individuals per km2 based on a total study area of 246.2 km2. We
discuss demographic population structure and identify limitations when
applying
the double observer approach, along with recommending viewshed mapping
for ensuring more robust density estimates of mountain-dwelling
ungulates like blue sheep or ibex that inhabit extremely heterogeneous
terrain which strongly influences sighting distances and overall animal
detection rates.

URL: https://snowleopardnetwork.org/b/show.php?record=1666

New Article to the Bibliography

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Title:    Landscape connectivity and population density of snow leopards across a multi-use landscape in Western Himalaya

Author:    Pal, R., Sutherland, C., Qureshi, Q., Sathyakumar, S.

Abstract:    Human modification and habitat fragmentation significantly impact large carnivores requiring large, connected habitats to persist in a landscape.  Understanding species responses to such change and the protection of critical areas and connectivity they provide is essential when planning effective conservation strategies. Our study examines the spatial distribution of the snow leopard (Panthera uncia) across a gradient of protection status, anthropogenic pressures and habitat types in the Gangotri landscape (~4600 km2), Western Himalaya. Using spatial capture-recapture modeling, we analyzed a 4-year camera trapping dataset (2015–2019) to assess the relationship between snow leopard movement and topography and identified the conducible areas for facilitating movement across the landscape. Snow leopard density was positively associated with elevation and slope, and was higher in protected areas (summer: 1.42 SE 0.02/100km2; winter 2.15 SE 0.03 vs. summer: 0.4 SE 0.01; win
 ter: 0.6 SE 0.01 for unprotected areas). Precipitous terrain and several prominent mountain peaks were found to be resistant to snow leopard movement. Even with a range of human activities inside protected areas, the higher density suggests a positive impact of protection. Density-weighted connectivity showed that conducible areas are available between the Gangotri landscape and the adjacent protected areas. However, compared to protected area, these areas are relatively less used and require attention for management. We recommend regulating human activities and co-managing pastures with local communities to revive prey base outside protected areas, especially in corridors, to ensure such areas are functionally conducive. Our study provides a framework to collectively quantitate the spatial pattern of abundance, distribution and connectivity. Our approach has broad applicability for policymakers to develop strategic plans for balancing the conservation of species, and other land uses in a multi-use landscape.

URL:   

https://snowleopardnetwork.org/b/show.php?record=1663

 

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Title:    First spatially‐explicit density estimate for a snow leopard population in the Altai Mountains

Author:    Oberosler, V., Tenan, S., Groff, C., Krofel, M., Augugliaro, C., Munkhtsog, B., Rovero, F.

Abstract:    The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of
 density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Base- line encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore.

URL:    https://snowleopardnetwork.org/b/show.php?record=1662

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Title:    Evidence of spatial genetic structure in a snow leopard population from Gansu, China

Author:    Azteni, L., Cushman, S. A., Wang, J., Riordan, P., Shi, K., Bauman, D.

Abstract:    Understanding the spatial structure of genetic diversity provides insights into a populations’ genetic status and enables assessment of its capacity to counteract the effects of genetic drift. Such knowledge is particularly scarce for the snow leopard, a conservation flagship species of Central Asia mountains. Focusing on a snow leopard population in the Qilian mountains of Gansu Province, China, we characterised the spatial genetic patterns by incorporating spatially explicit indices of diversity and multivariate analyses, based on different inertia levels of Principal Component Analysis (PCA). We compared two datasets differing in the number of loci and individuals. We found that genetic patterns were significantly spatially structured and were characterised by a broad geographical division coupled with a fine-scale cline of differentiation. Genetic admixture was detected in two adjoining core areas characterised by higher effective population size and allelic divers
 ity, compared to peripheral localities. The power to detect significant spatial relationships depended primarily on the number of loci, and secondarily on the number of PCA axes. Spatial patterns and indices of diversity highlighted the cryptic structure of snow leopard genetic diversity, likely driven by its ability to disperse over large distances. In combination, the species’ low allelic richness and large dispersal ability result in weak genetic differentiation related to major geographical features and isolation by distance. This study illustrates how cryptic genetic patterns can be investigated and analysed at a fine spatial scale, providing insights into the spatially variable isolation effects of both geographic distance and landscape resistance.

URL:    https://snowleopardnetwork.org/b/show.php?record=1661

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Title: Population monitoring of snow leopards using camera trapping in Naryn State Nature Reserve, Kyrgyzstan, between 2016 and 2019

Authors: Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L.

Abstract: Four field seasons of snow leopard (Panthera uncia) camera trapping inside Naryn State Nature Reserve, Kyrgyzstan, performed thanks to citizen science expeditions, allowed detecting a minimal population of five adults, caught every year with an equilibrated sex ratio (1.5:1) and reproduction: five cubs or subadults have been identified from three litters of two different females. Crossings were observed one to three times a year, in front of most camera traps, and several times a month in front of one of them. Overlap of adults’ minimal territories was observed in front of several camera traps, regardless of their sex. Significant snow leopard presence was detected in the buffer area and at Ulan area which is situated at the reserve border. To avoid poaching on this apex predator and its preys, extending the more stringent protection measures of the core zone to both the Southern buffer area and land adjacent to Ulan is recommended.

URL:  https://snowleopardnetwork.org/b/show.php?record=1660

 

 

 

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Title: An empirical demonstration of the effect of study design on density estimations

Authors: Nawaz, M. A., Khan, B. U., Mahmood, A., Younas, M., Din, J. U, Sutherland, C.

Abstract: The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating ?. On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling.

URL: https://snowleopardnetwork.org/bibliography/Nawaz_et_al_2021.pdf

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Title: Community-Based Conservation for the Sustainable Management of Conservation Conflicts: Learning from Practitioners

Authors: Young, J. C., Alexander, J. S., Bijoor, A., Sharma, D., Dutta, A., Agvaantseren, B., Mijiddorj, T. N., Jumabay, K., Amankul, V., Kabaeva, B., Nawaz, A., Khan, S., Ali, H., Rullman, J. S., Sharma, K., Murali, R., Mishra, C.

Abstract:  We explore the role of community-based conservation (CBC) in the sustainable management of conservation conflicts by examining the experiences of conservation practitioners trying to address conflicts between snow leopard conservation and pastoralism in Asian mountains. Practitioner experiences are examined through the lens of the PARTNERS principles for CBC (Presence, Aptness, Respect, Transparency, Negotiation, Empathy, Responsiveness, and Strategic Support) that represent an inclusive conservation framework for effective and ethical engagement with local communities. Case studies from India, Kyrgyzstan, Mongolia, and Pakistan show that resilient relationships arising from respectful engagement and negotiation with local communities can provide a strong platform for robust conflict management. We highlight the heuristic value of documenting practitioner experiences in on-the-ground conflict management and community-based conservation efforts.

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Title: Factors affecting livestock depredation by snow leopards (Panthera uncia) in the Himalayan region of Nepal

Authors: Karki, A., Panthi, S.

Abstract: The snow leopard (Panthera uncia) found in central Asia is classified as vulnerable species by the International Union for Conservation of Nature (IUCN). Every year, large number of livestock are killed by snow leopards in Nepal, leading to economic loss to local communities and making human-snow leopard conflict a major threat to snow leopard conservation. We conducted formal and informal stakeholder’s interviews to gather information related to livestock depredation with the aim to map the attack sites by the snow leopard. These sites were further validated by district forest office staffs to assess sources of bias. Attack sites older than 3 years were removed from the survey. We found 109 attack sites and visited all the sites for geo location purpose (GPS points of all unique sites were taken). We maintained at least a 100 m distance between attack locations to ensure that each attack location was unique, which resulted in 86 unique locations. A total of 235 km2 was used to define livestock depredation risk zone during this study. Using Maximum Entropy (MaxEnt) modeling, we found that distance to livestock sheds, distance to paths, aspect, and distance to roads were major contributing factors to the snow leopard’s attacks. We identified 13.64 km2 as risk zone for livestock depredation from snow leopards in the study area. Furthermore, snow leopards preferred to attack livestock near livestock shelters, far from human paths and at moderate distance from motor roads. These identified attack zones should be managed both for snow leopard conservation and livestock protection in order to balance human livelihoods while protecting snow leopards and their habitats.

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New Article to the Bibliography

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Title:  Snow Leopard (Panthera uncia) Genetics: The Knowledge Gaps, Needs, and Implications for Conservation
Author: Weckworth, B.
 

Abstract:  Conservation geneticists apply genetic theory and techniques to preserve endangered species as dynamic entities, capable of coping with environmental change and thus minimizing their risk of extinction. Snow leopards are an umbrella species of High Asia, and a keystone for maintaining biodiversity within this fragile ecosystem. A clear understanding of patterns of snow leopard genetic diversity is critical for guiding conservation initiatives that will ensure their long-term persistence. Yet, a comprehensive analysis of snow leopard genetic variation is lacking. The number of published snow leopard genetic studies is far fewer than for other imperiled big cats. Here, I review the limited genetic work to date on snow leopards and the significant knowledge gaps to be filled. An emphasis must be placed on describing and understanding population genetic dynamics within and among meta-populations to provide information about the interactions between landscapes and the micro-evolutionary processes of gene flow and genetic drift. These results can be used to evaluate the levels and dynamics of genetic and demographic connectivity. A lack of connectivity, particularly in the low density, small populations that typify snow leopards, can lead to multiple demographic and genetic consequences, including inbreeding depression, loss of adaptive potential, and heightened susceptibility to demographic and environmental stochasticity. New efforts in conservation research on snow leopards should focus on this line of inquiry, and the opportunities and challenges for that are outlined and discussed to encourage the required, and considerable, transboundary partnerships and collaborations needed to be successful.