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Lewis, M., Songster, E.E. |
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Title |
Studying the snow leopard: reconceptualizing conservation across the China–India border |
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2016 |
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British Journal for the History of Science |
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BJHS |
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Themes 1 |
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1 |
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169-198 |
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The snow leopard is a highly charismatic megafauna that elicits admiration, concern and donations from individuals and NGOs in the West. In its home territories, however, it is a threat to local communities’ livestock and a potential source of income for its pelt and parts. Conservation and study are further challenged by its range; snow leopards traverse the borders separating China, India and ten other countries with long histories of tension with each other as well as internal political and economic struggles. This transnational animal provides an ideal case study for the consideration of transnational conservation science in the recent past. |
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1638 |
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Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. |
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Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study |
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Journal Article |
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2020 |
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bioRxiv |
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1-21 |
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snow leopard, noninvasive genotyping, population dynamics, microsatellite, relatedness, diachronic monitoring, citizen science, Central Asia |
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Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time. |
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1602 |
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Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. |
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Title |
Spatial variation in population-density, movement and detectability of snow leopards in
2 a multiple use landscape in Spiti Valley, Trans-Himalaya |
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Journal Article |
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2020 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
bioRxiv |
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Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur
Capra sibirica; ungulates; livestock. |
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The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation. |
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1620 |
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Solari, K. A., Morgan, S., Poyarkov, A. D., Weckworth, B., Samelius, G., Sharma, K., Ostrowski, S., Ramakrishnan, U., Kubanychbekov, Z., Kachel, S., Johansson, O., Lkhagvajav, P., Hemmingmoore, H., Alexandrov, D. Y., Bayaraa, M., Grachev, A., Korablev, M. P., Hernandez-Blanco, J. A., Munkhtsog, B., Rosenbaum, B., Rozhnov, V. V., Rajabi, A. M., Noori, H., Armstrong, E. E., Petrov, D. A. |
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Extreme in Every Way: Exceedingly Low Genetic Diversity in Snow Leopards Due to Persistently Small Population Size |
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Journal Article |
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2023 |
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bioRxiv |
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1-24 |
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Snow leopards (Panthera uncia) serve as an umbrella species whose conservation benefits their high-elevation Asian habitat. Their numbers are believed to be in decline due to numerous Anthropogenic threats; however, their conservation is hindered by numerous knowledge gaps. They are the least studied genetically of all big cat species and little is known about their historic population size and range, current population trends, or connectivity across their range. Here, we use whole genome sequencing data for 41 snow leopards (37 newly sequenced) to assess population connectivity, historic population size, and current levels of genetic diversity. Among our samples, we find evidence of a primary genetic divide between the northern and southern part of the range around the Dzungarian Basin and a secondary divide south of Kyrgyzstan around the Taklamakan Desert. However, we find evidence of gene flow, suggesting that barriers between these groups are permeable. Perhaps most noteworthy, we find that snow leopards have the lowest genetic diversity of any big cat species, likely due to a persistently small population size throughout their evolutionary history. Without a large population size or ample standing genetic variation to help buffer them from any forthcoming Anthropogenic challenges, snow leopard persistence may be more tenuous than currently appreciated. |
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SLN @ rakhee @ |
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1739 |
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Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal,
R. S., Sharma, S., Shekhar, S. |
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Title |
Predicting Habitat Suitability of Snow Leopards in the Western
Himalayan Mountains, India |
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Journal Article |
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2020 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Biology bulletin |
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47 |
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6 |
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655-664 |
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biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard |
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The population of snow leopard (Panthera uncia) is declining
across their range, due to poaching, habitat fragmentation, retaliatory
killing, and a decrease of wild prey species. Obtaining information on
rare and cryptic predators living in remote and rugged terrain is
important for making conservation and management strategies. We used the
Maximum Entropy (MaxEnt) ecological niche modeling framework to predict
the potential habitat of snow leopards across the western Himalayan
region, India. The model was developed using 34 spatial species
occurrence points in the western Himalaya, and 26 parameters including,
prey species distribution, temperature, precipitation, land use and land
cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen
variables contributed 98.6% towards predicting the distribution of snow
leopards. The area under the curve (AUC) score was high (0.994) for the
training data from our model, which indicates pre- dictive ability of
the model. The model predicted that there was 42432 km2 of potential
habitat for snow leop- ards in the western Himalaya region. Protected
status was available for 11247 km2 (26.5%), but the other 31185 km2
(73.5%) of potential habitat did not have any protected status. Thus,
our approach is useful for predicting the distribution and suitable
habitats and can focus field surveys in selected areas to save
resources, increase survey success, and improve conservation efforts for
snow leopards. |
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1629 |
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Farrington, J., Tsering, D. |
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Human-snow leopard conflict in the Chang Tang region of Tibet, China |
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2019 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Biological Conservation |
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237 |
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504-513 |
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In April 2006, the authors conducted a preliminary human-wildlife conflict survey of 300 livestock herders in Shainza, Nyima, and Tsonyi Counties in northern Tibet's sparsely-populated Chang Tang region. This survey revealed a widespread but previously undocumented problem of snow leopard predation on livestock. In June and July 2007, an exploratory human-snow leopard conflict survey of 234 herders in the above counties found that 65.8% of respondents had experienced conflict with snow leopards in the form of livestock kills, with 77.3% of the most recent incidents occurring in the previous five years. These incidents were concentrated in winter and spring and a surprising 39.6% of incidents occurred during the day, often with herders present. Fifteen exploratory snow leopard sign transects totaling 14.85 km were conducted. Abundant snow leopard scrapes as well as pug marks were found, confirming the presence of these secretive cats. A total of 521 blue sheep were counted on and off sign transects indicating widespread availability of wild snow leopard prey. The recent surge in reported snow leopard conflict is likely due to increasing human and livestock populations, establishment of two multiple-use nature reserves accompanied by improved enforcement of wildlife protection laws, and a regional gun and trap ban launched in 2001. However, retaliatory killing of snow leopards in the survey area continues to be a potential threat. Therefore, measures are needed to reduce livestock kills by snow leopards, including corral improvements, improved guarding, establishment of livestock compensation schemes, and educating herders about snow leopard behavior. |
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SLN @ rakhee @ |
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1600 |
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Kachel, S., Anderson, K., Shokirov, Q. |
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Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models |
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2022 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Biological Conservation |
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271 |
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109588 |
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1-10 |
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Bayesian hierarchical model,False-positive,Multi-state occupancy,Human-carnivore conflict,Livestock depredation,Snow leopard,Lynx,Wolf,Bear |
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The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce. |
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SLN @ rakhee @ |
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1681 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. |
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Research trends and management options in human-snow leopard conflict |
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Journal Article |
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2020 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Biological Conservation |
Abbreviated Journal |
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242 |
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108413 |
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1-10 |
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Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation |
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Conservation of the snow leopard (Panthera uncia) is challenging because of its threatened status and increase in human-snow leopard conflict (HSC). The area of occupancy of the snow leopard comprises mountainous regions of Asia that are confronted with various environmental pressures including climate change. HSCs have increased with a burgeoning human population and economic activities that enhance competition between human and snow leopard or its preys. Here we systematically review the peer-reviewed literature from 1994 to 2018 in Web of Science, Google Scholar, Science Direct and PubMed (30 articles), to evaluate the current state of scholarship about HSCs and their management. We determine: 1) the spatio-temporal distribution of relevant researches; 2) the methodologies to assess HSCs; 3) and evaluate existing interventions for conflict management; and 4) the potential options for HSC management. The aim of the current study is thus to identify key research gaps and future research requirements. Of the articles in this review, 60% evaluated the mitigation of HSCs, while only 37% provided actionable and decisive results. Compensation programs and livestock management strategies had high success rates for mitigating HSCs through direct or community-managed interventions. Further research is required to evaluate the efficacy of existing HSC mitigation strategies, many of which, while recommended, lack proper support. In spite of the progress made in HSC studies, research is needed to examine ecological and sociocultural context of HSCs. We suggest future work focus on rangeland management for HSC mitigation, thus ultimately fostering a co-existence between human and snow leopard. |
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1716 |
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Salvatori, M., Tenan, S., Oberosler, V., Augugliaro, C., Christe, P., Groff, C., Krofel, M., Zimmermann, F., Rovero, F. |
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Co-occurrence of snow leopard, wolf and Siberian ibex under livestock encroachment into protected areas across the Mongolian Altai |
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2021 |
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Biological Conservatio |
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261 |
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109294 |
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1-14 |
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Camera-trapping, Panthera uncia, Canis lupus, Capra sibirica, Occupancy, Human-wildlife conflicts, Activity pattern |
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In countries such as Mongolia, where globalization of the cashmere market has spurred herders to massively increase their livestock numbers, an important conservation concern is the effect of livestock encroachment on wildlife. This is especially important inside protected areas (PAs), which often represent the last refugia for threatened large mammals. We used camera-traps to sample four areas with different protection status across the Mongolian Altai Mountains, and targeted a predator-prey system composed of livestock, one large herbivore, the Siberian ibex, and two large carnivores, the snow leopard and the wolf. To determine the effect of livestock on habitat use by the wild species and their spatio-temporal co-occurrence we applied an occupancy framework explicitly developed for modelling interacting species. We recorded a widespread presence of domestic animals in the PAs, and observed avoidance of sites used by livestock by snow leopard and ibex, while wolves tended to co-occur with it. Snow leopard and ibex showed clear mutual co-occurrence, indicating a tight predator-prey relationship. Results provide evidence that, at the scale of sites sampled primarily to maximise snow leopard detections, grazing livestock interferes with wild species by inducing avoidance in snow leopards, and attraction in wolves. We suggest that (1) PAs management should enforce real grazing limitations on the ground, especially in the core areas of the parks; (2) new policies incorporating wildlife conservation into government subsidies to pastoralists should be envisaged, to prevent increasing displacement of snow leopards and ibex; (3) as wolves co- occurred with livestock, with the potential for human-wildlife conflicts, we encourage the use of a set of prevention techniques to mitigate livestock depredation. |
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Oberosler, V., Tenan, S., Groff, C., Krofel, M., Augugliaro, C., Munkhtsog, B., Rovero, F. |
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First spatially‐explicit density estimate for a snow leopard population in the Altai Mountains |
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2021 |
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Biodiversity and Conservation |
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15 |
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Camera trapping · Conservation · Abundance · Felids · Activity range · Mongolia · Panthera uncia · Spatial capture-recapture |
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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. |
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|
Notes |
|
Approved |
no |
|
|
Call Number |
SLN @ rakhee @ |
Serial |
1662 |
|
Permanent link to this record |