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Khanal, G., Mishra, C., Suryawanshi, K. R. |
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Title |
Relative influence of wild prey and livestock abundance on
carnivore-caused livestock predation |
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Journal Article |
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2020 |
Publication  |
Ecology and Evolution |
Abbreviated Journal |
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1-11 |
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conservation conflict, human carnivore conflict, large mammalian carnivore, livestock depredation, Nepal, Shey Phoksundo National Park, snow leopard |
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Conservation conflict over livestock depredation is one of the
key drivers of large mammalian carnivore declines worldwide. Mitigating
this conflict requires strategies informed by reliable knowledge of
factors influencing livestock depredation. Wild prey and livestock
abundance are critical factors influencing the extent of livestock
depredation. We compared whether the extent of livestock predation by
snow leopards Panthera uncia differed in relation to densities of wild
prey, livestock, and snow leopards at two sites in Shey Phoksundo
National Park, Nepal. We used camera trap-based spatially explicit
capture–recapture models to estimate snow leopard density;
double-observer surveys to estimate the density of their main prey
species, the blue sheep Pseudois nayaur; and interview-based household
surveys to estimate livestock population and number of livestock killed
by snow leopards. The proportion of livestock lost per household was
seven times higher in Upper Dolpa, the site which had higher snow
leopard density (2.51 snow leopards per 100 km2) and higher livestock
density (17.21 livestock per km2) compared to Lower Dolpa (1.21 snow
leopards per 100 km2; 4.5 livestock per km2). The wild prey density was
similar across the two sites (1.81 and 1.57 animals per km2 in Upper and
Lower Dolpa, respectively). Our results suggest that livestock
depredation level may largely be determined by the abundances of the
snow leopards and livestock and predation levels on livestock can vary
even at similar levels of wild prey density. In large parts of the snow
leopard range, livestock production is indispensable to local
livelihoods and livestock population is expected to increase to meet the
demand of cashmere. Hence, we recommend that any efforts to increase
livestock populations or conservation initiatives aimed at recovering or
increasing snow leopard population be accompanied by better herding
practices (e.g., predator-proof corrals) to protect livestock from snow
leopard. |
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1611 |
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Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi,
K., Riordan, P. |
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Title |
Meta-replication, sampling bias, and multi-scale model selection:
A case study on snow leopard (Panthera uncia) in western China. |
Type |
Journal Article |
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2020 |
Publication |
Ecology and Evolution |
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1-27 |
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MaxEnt, meta-replication, multi-scale, Panthera uncia, sampling bias, scale selection, snow leopard, species distribution model |
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Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction. |
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1616 |
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Thapa, K., Schmitt, N., Pradhan, N. M. B., Acharya, H. R., Rayamajhi, S. |
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Title |
No silver bullet? Snow leopard prey selection in Mt. Kangchenjunga, Nepal |
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Journal Article |
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2021 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
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1-13 |
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blue sheep, common leopard, fecal, genetic analysis, snow leopard, wolf, yak |
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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. |
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SLN @ rakhee @ |
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1665 |
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Salvatori, M., Oberosler, V., Augugliaro, C., Krofel, M., Rovero, F. |
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Title |
Effects of free-ranging livestock on occurrence and interspecific interactions of a mammalian community |
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Journal Article |
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2022 |
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Ecological-Applications. |
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e2644 |
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1-13 |
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activity pattern, community occupancy, grassland, interspecific interactions, livestock encroachment, snow leopard |
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Mammalian communities inhabiting temperate grasslands are of conservation concern globally, especially in Central Asia, where livestock numbers have dramatically increased in recent decades, leading to overgrazing and land-use change. Yet, how this pervasive presence of livestock herds affects the community of wild mammals remains largely unstudied. We used systematic camera trapping at 216 sites across remote, mountainous areas of the Mongolian Altai Mountains to assess the spatial and temporal patterns of occurrence and the interspecific relationships within a mammalian community that includes different categories of livestock. By adopting a recently proposed multispecies occupancy model that incorporates interspecific correlation in occupancy, we found several statistically strong correlations in occupancy among species pairs, with the majority involving livestock. The sign of such associations was markedly species-dependent, with larger wild species of conservation concern, namely, snow leopard and Siberian ibex, avoiding livestock presence. As predicted, we found evidence of a positive correlation in occupancy between predators and their respective main prey. Contrary to our expectations, a number of intraguild species pairs also showed positive co-occurrence, with no evidence of spatiotemporal niche partitioning. Overall, our study suggests that livestock encroaching into protected areas influences the whole local community of wild mammals. Though pastoralism has coexisted with wildlife for millennia in central Asian grasslands, our findings suggest that policies and practices to decrease the pressure of livestock husbandry on wildlife are needed, with special attention on large species, such as the snow leopard and its wild prey, which seem to be particularly sensitive to this pervasive livestock presence. |
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1690 |
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Klubnikin, K.; Annett, C.; Cherkasova, M.; Shishin, M.; Fotieva, I. |
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The sacred and the scientific: Traditional ecological knowledge in Siberian River conservation |
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2000 |
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Ecological-Applications. |
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10 |
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5 |
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1296-1306 |
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endangered-species; Human; Hominidae; Altaians; plant; Plantae; snow-leopard; Felidae; endemism; hydroelectric-dam; land-management; perestroika; species-diversity; traditional-ecological-knowledge; water-resource-management; snow leopard; browse; hydroelectric; dam; endangered; species; land; management; diversity; species diversity; traditional; ecological.; knowledge; water; resource; 30 |
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The Katun River originates in the steppe of the Altai Mountains in Siberia. One of the major headwaters of the Ob River, the Katun is considered central to the culture of the indigenous Altaians. The Katun Valley contains large numbers of important cultural sites, dating from the Neolithic and representing some of the earliest human settlement in Russia. Modern-day Altaians still observe traditional ceremonies honoring the river and springs throughout the watershed and utilize traditional ecological knowledge in their management of the land and water resources. Russian and international scientists have identified the Altai Mountains as a region of high plant diversity and endemism, and as important habitat for endangered species such as the snow leopard. The Katun River itself contains species of threatened and endangered fishes, and its headwaters are part of the unusual Mongolian ichthyofaunal province that is characterized by high levels of endemism. The same regions are considered by the Altaian people to be special or sacred and are recognized by Western scientists as having great value for conservation. During the era of perestroika, a hydroelectric dam was to be built on the Katun. The large dam, a vestige of the earlier Soviet plan for the Project of the Century, would have devastated significant agricultural, ecological, recreational, and cultural resources. The indigenous Altaian people would have lost much of their sacred and cultural landscape. The Katun dam project united indigenous people, well-known Siberian writers, and scientists in protest, which became so heated that it engaged the international community, with lasting effects on Russian society. The magnitude of the protest illustrates the importance of the Altai Mountain region to all of Russia. The active participation of indigenous Altaians reflected their traditional willingness to take action against political decisions that negatively impacted the environmental, cultural, and religious values of their homeland. Their involvement also reflected the new wave of awareness under perestroika that underscored a greater respect and autonomy for indigenous peoples in Russia. |
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Document Type: English
Call Number: QH540 .E273 |
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SLN @ rana @ 390 |
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537 |
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Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J.
S., Bijoor, Suryawanshi, K., Mishra, C. |
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Conservation and people: Towards an ethical code of conduct for
the use of camera traps in wildlife research |
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2020 |
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Ecological Solutions and Evidence |
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1-6 |
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camera trap, code of conduct, ethics, human rights, law, PARTNERS principles for community- based conservation, privacy, snow leopard |
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1. Camera trapping is a widely employed tool in wildlife
research, used to estimate animal abundances, understand animal
movement, assess species richness and under- stand animal behaviour. In
addition to images of wild animals, research cameras often record human
images, inadvertently capturing behaviours ranging from innocuous
actions to potentially serious crimes.
2. With the increasing use of camera traps, there is an urgent need to
reflect on how researchers should deal with human images caught on
cameras. On the one hand, it is important to respect the privacy of
individuals caught on cameras, while, on the other hand, there is a
larger public duty to report illegal activity. This creates ethical
dilemmas for researchers.
3. Here, based on our camera-trap research on snow leopards Panthera
uncia, we outline a general code of conduct to help improve the practice
of camera trap based research and help researchers better navigate the
ethical-legal tightrope of this important research tool. |
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1626 |
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. |
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Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection |
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2023 |
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Ecological Informatics |
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77 |
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102214 |
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1-14 |
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Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards |
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Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone. |
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1723 |
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Blomqvist, L.; Dexel, B. |
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In Focus: Declining numbers of wild snow leopards |
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Miscellaneous |
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2006 |
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EAZA Zoo News |
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26-27 |
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asia; Cites; conflict; habitat loss; herder; laws; poaching; protection; snow leopard; threat; trade; Uncia uncia |
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International collaboration to ensure the long-term survival of snow leopards (Uncia uncia) in the wild is today more acutely needed than ever! Trade in live snow leopards, their skins and bones, has during the last decade reached such extensiveness that the species is in danger of being wiped out from many of its former habitats. All recent surveys support declining populations throughout most of their range. |
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SLN @ rana @ 887 |
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172 |
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Smith, G. |
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Title |
Mongolia at the crossroads |
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1992 |
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Earth Island Journal |
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7 |
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4 |
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1 |
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Mongolia; hunting; poaching; economy; snow-leopard; ibex; Argal; protection; conservation; snow leopard; browse; 1170 |
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Abstract: Assesses foreign investment laws adopted by the government of Mongolia which have been deemed extremely flexible and favorable for Americans. Economic benefits presented by the big game hunt industry; Consultation with Secretary of State James Baker in the formulation of said laws during his July The Mongolian government is trying its best to make the country attractive to foreign investors. Big game hunts are still Mongolia's primary source of foreign cash. European and American hunters are willing to pay as much as $90,000 for rare game such as the ibex or the snow leopard. However, a recent US Fish and Wildlife Service ruling giving protection to the Argal, a wild sheep, could mean the cutting of cash inflows from foreign hunters. |
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Document Type: English |
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SLN @ rana @ 189 |
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903 |
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Krumbiegel, V.I. |
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Title |
Die schneeleoparden (Felis uncia Schreb.) des Dresdner Zoologischen Gartens |
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1936 |
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Dresdner Zoologischen Gartens |
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34-37 |
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snow leopard, captivity, Dresden Zoo, Germany |
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Dresden |
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1251 |
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