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Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. |
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How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas |
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2022 |
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Journal of Resources and Ecology |
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13 |
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3 |
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483-500 |
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habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia |
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The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. |
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1698 |
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Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. |
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Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies |
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2023 |
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Global Ecology & Conservation |
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41 |
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e02350 |
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1-13 |
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Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter |
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Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates. |
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1715 |
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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 |
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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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1600 |
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Pathak, A., Lamichhane, S., Dhakal, M., Karki, A., Dhakal, B. D., Chetri, M., Mintz, J., Pun, P., Neupane, P., Dahal, T. P., Rayamajhi, T., Paudel, P., Thapa, A., Regmi, P. R., Thami, S., Thapa, G., Khanal, S., Lama, S., Karki, J., Khanal, S., Ferdin, A. E. J. |
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Human-wildlife conflict at high altitude: A case from Gaurishankar conservation area, Nepal |
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2024 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
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14 |
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e11685 |
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1-9 |
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coexistence, compensation policy, Gaurishankar conservation area, high altitude, Himalayan black bear, human-wildlife conflict, leopard |
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Human–wildlife conflict studies of high-altitude areas are rare due to budget constraints and the challenging nature of research in these remote environments. This study investigates the prevalence and increasing trend of human–wildlife conflict (HWC) in the mountainous Gaurishankar Conservation Area (GCA) of Nepal, with a specific focus on leopard (Panthera pardus) and Himalayan black bear (Ursus thibetanus laniger). The study analyzes a decade of HWC reports and identifies goats as the livestock most targeted by leopards. The Dolakha district of GCA received the highest number of reports, highlighting the need for mitigation measures in the area. In GCA, livestock attacks accounted for 85% of compensation, with the remaining 15% for human injuries. We estimate that the number of reported wildlife attacks grew on average by 33% per year, with an additional increase of 57 reports per year following the implementation of a new compensation policy during BS 2076 (2019 AD). While bear attacks showed no significant change post-rule alteration, leopard attack reports surged from 1 to 60 annually, indicating improved compensation may have resulted in increased leopard-attack reporting rates. The findings emphasize the economic impact of HWC on local communities and suggest strategies such as increasing prey populations, promoting community education and awareness, enhancing alternative livelihood options, developing community-based insurance programs, and implementing secure enclosures (corrals) to minimize conflicts and foster harmonious coexistence. This research addresses a knowledge gap in HWC in high- altitude conservation areas like the GCA, providing valuable insights for conservation stakeholders and contributing to biodiversity conservation and the well-being of humans and wildlife. |
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1752 |
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Hameed, S., Din, J. U., Ali, H., Kabir, M., Younas, M., Rehman,
E. U., Bari, F., Hao, W., Bischof, R., Nawaz, M. A. |
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Identifying priority landscapes for conservation of snow
leopards in Pakistan |
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2020 |
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Plos One |
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1-20 |
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Pakistan’s total estimated snow leopard habitat is about
80,000 km2 of which about half is considered prime habitat. However,
this preliminary demarcation was not always in close agreement with the
actual distribution the discrepancy may be huge at the local and
regional level. Recent technological developments like camera trapping
and molecular genetics allow for collecting reliable presence records
that could be used to construct realistic species distribution based on
empirical data and advanced mathematical approaches like MaxEnt. The
current study followed this approach to construct an accurate
distribution of the species in Pakistan. Moreover, movement corridors,
among different landscapes, were also identified through circuit theory.
The probability of habitat suitability, generated from 98 presence
points and 11 environmental variables, scored the snow leopard’s assumed
range in Pakistan, from 0 to 0.97. A large portion of the known range
represented low-quality habitat, including areas in lower Chitral, Swat,
Astore, and Kashmir. Conversely, Khunjerab, Misgar, Chapursan, Qurumber,
Broghil, and Central Karakoram represented high-quality habitats.
Variables with higher contributions in the MaxEnt model were
precipitation during the driest month (34%), annual mean temperature
(19.5%), mean diurnal range of temperature (9.8%), annual precipitation
(9.4%), and river density (9.2). The model was validated through
receiver operating characteristic (ROC) plots and defined thresholds.
The average test AUC in Maxent for the replicate runs was 0.933 while
the value of AUC by ROC curve calculated at 0.15 threshold was 1.00.
These validation tests suggested a good model fit and strong predictive
power. The connectivity analysis revealed that the population in the
Hindukush landscape appears to be more connected with the population in
Afghani- stan as compared to other populations in Pakistan. Similarly,
the Pamir-Karakoram population is better connected with China and
Tajikistan, while the Himalayan population was connected with the
population in India. Based on our findings we propose three model
landscapes to be considered under the Global Snow Leopard Ecosystem
Protection Program (GSLEP) agenda as regional priority areas, to
safeguard the future of the snow leopard in Pakistan and the region.
These landscapes fall within mountain ranges of the Himalaya, Hindu Kush
and Karakoram-Pamir, respectively. We also identified gaps in the
existing protected areas network and suggest new protected areas in
Chitral and Gilgit-Baltistan to protect critical habitats of snow
leopard in Pakistan. |
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1617 |
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Shrestha, B., Kindlmann, P. |
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Implications of landscape genetics and connectivity of snow
leopard in the Nepalese Himalayas for its conservation. |
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Scientific Report |
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2020 |
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Nature Research |
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10 |
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19853 |
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1-11 |
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The snow leopard is one of the most endangered large mammals.
Its population, already low, is declining, most likely due to the
consequences of human activity, including a reduction in the size and
number of suitable habitats. With climate change, habitat loss may
escalate, because of an upward shift in the tree line and concomitant
loss of the alpine zone, where the snow leopard lives. Migration between
suitable areas, therefore, is important because a decline in abundance
in these areas may result in inbreeding, fragmentation of populations,
reduction in genetic variation due to habitat fragmentation, loss of
connectivity, bottlenecks or genetic drift. Here we use our data
collected in Nepal to determine the areas suitable for snow leopards, by
using habitat suitability maps, and describe the genetic structure of
the snow leopard within and between these areas. We also determine the
influence of landscape features on the genetic structure of its
populations and reveal corridors connecting suitable areas. We conclude
that it is necessary to protect these natural corridors to maintain the
possibility of snow leopards' migration between suitable areas, which
will enable gene flow between the diminishing populations and thus
maintain a viable metapopulation of snow leopards. |
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1628 |
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Filla, M., Lama, R. P., Ghale, T. R., Signer, J., Filla, T., Aryal, R. R., Heurich, M., Waltert, M., Balkenhol, N., Khorozyan, I. |
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In the shadows of snow leopards and the Himalayas: density and habitat selection of blue sheep in Manang, Nepal |
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2020 |
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Ecology and Evolution |
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2021 |
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11 |
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108-122 |
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Annapurna Conservation Area, bharal, Panthera uncia, predator-prey, Pseudois nayaur |
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There is a growing agreement that conservation needs to be proactive and pay increased attention to common species and to the threats they face. The blue sheep (Pseudois nayaur) plays a key ecological role in sensitive high-altitude ecosystems of Central Asia and is among the main prey species for the globally vulnerable snow leopard (Panthera uncia). As the blue sheep has been increasingly exposed to human pressures, it is vital to estimate its population dynamics, protect the key populations, identify important habitats, and secure a balance between conservation and local livelihoods. We conducted a study in Manang, Annapurna Conservation Area (Nepal), to survey blue sheep on 60 transects in spring (127.9 km) and 61 transects in autumn (134.7 km) of 2019, estimate their minimum densities from total counts, compare these densities with previous estimates, and assess blue sheep habitat selection by the application of generalized additive models (GAMs). Total counts yielded minimum density estimates of 6.0–7.7 and 6.9–7.8 individuals/km2 in spring and autumn, respectively, which are relatively high compared to other areas. Elevation and, to a lesser extent, land cover indicated by the normalized difference vegetation index (NDVI) strongly affected habitat selection by blue sheep, whereas the effects of anthropogenic variables were insignificant. Animals were found mainly in habitats associated with grasslands and shrublands at elevations between 4,200 and 4,700 m. We show that the blue sheep population size in Manang has been largely maintained over the past three decades, indicating the success of the integrated conservation and development efforts in this area. Considering a strong dependence of snow leopards on blue sheep, these findings give hope for the long-term conservation of this big cat in Manang. We suggest that long-term population monitoring and a better understanding of blue sheep–livestock interactions are crucial to maintain healthy populations of blue sheep and, as a consequence, of snow leopards. |
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1683 |
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Murali, R., Bijoor, A., Thinley, T., Gurmet, K., Chunit, K., Tobge, R., Thuktan, T., Suryawanshi, K., Nagendra, H., Mishra, C. |
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Indigenous governance structures for maintaining an ecosystem service in an agro-pastoral community in the Indian Trans Himalaya |
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2022 |
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Ecosystems and People |
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18 |
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1 |
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303-314 |
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Commons; local governance; plant-harvest; rangelands; Spiti Valley |
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The majority of the global terrestrial biodiversity occurs on indigenous lands, and biodiversity decline on these lands is relatively slower. Yet, robust understanding of indigenous governance systems for biodiversity and ecosystem services remains a key knowledge gap. We used the socio-ecological systems framework to study the governance of ecosystem services (ES) by an indigenous community in the Village of Kibber in the Trans-Himalayan Mountains of India. Focusing on plant-biomass removal from communal pastures, we identified the main factors shaping local governance using in-depth focal and deliberative group discussions with community members. Notwithstanding inequities of caste and gender, we found that Kibber had a well-functioning, complex, relatively democratic and inclusive system, with all households of the village involved in decision-making related to ES governance. Robust systems of information sharing, monitoring, conflict resolution, and self-organization played an important role. We found the role of institutional memory sustained by the oracle to be critical in maintaining governance structures. Our work underscores the potential resilience and importance of indigenous systems for the governance of ecosystem services. |
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1692 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Sultan, H. |
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Issues and Opportunities Associated with Trophy Hunting and Tourism in Khunjerab National Park, Northern Pakistan |
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2020 |
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Animals |
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10 |
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597 |
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1-20 |
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trophy hunting; mass tourism; Pamir; eco-tourism; human-Snow leopard conflict |
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Trophy hunting and mass tourism are the two major interventions designed to provide various socioeconomic and ecological benefits at the local and regional levels. However, these interventions have raised some serious concerns that need to be addressed. This study was conducted in Khunjerab National Park (KNP) with an aim to analyze comparatively the socioeconomic and ecological impacts of trophy hunting and mass tourism over the last three decades within the context of sustainability. Focus Group Discussions (FGDs) with key stakeholders and household interviews were conducted to collect data on trophy hunting and mass tourism, and on local attitudes towards these two interventions in and around KNP. The results revealed that 170 Ibex (Capra sibirica) and 12 Blue sheep (Pseudois nayaur) were hunted in the study area over the past three decades, and trophy hunting was not based on a sustainable harvest level. Trophy hunting on average generated USD 16,272 annual revenue, which was invested in community development. However, trophy hunting has greatly changed the attitudes of local residents towards wildlife: a positive attitude towards the wild ungulates and strongly negative attitude towards wild carnivores. In addition, trophy hunting has reduced the availability of ungulate prey species for Snow leopards (Panthera uncia), and consequently, Snow leopards have increased their predation on domestic livestock. This has, in turn, increased human–snow leopard conflict, as negative attitudes towards carnivores result in retaliatory killing of Snow leopards. Furthermore, according to ocial record data, the number of tourists to KNP has increased tremendously by 10,437.8%, from 1382 in 1999 to 145,633 in 2018. Mass tourism on average generated USD 33,904 annually and provided opportunities for locals to earn high incomes, but it caused damages to the environment and ecosystem in KNP through pollution generation and negative impacts on wildlife. Considering the limited benefits and significant problems created by trophy hunting and mass tourism, we suggest trophy hunting should be stopped and mass tourism should be shifted to ecotourism in and around KNP. Ecotourism could mitigate human–Snow leopard conflicts and help conserve the fragile ecosystem, while generating enough revenue incentives for the community to protect biodiversity and compensate for livestock depredation losses to Snow leopards. Our results may have implications for management of trophy hunting and mass tourism in other similar regions that deserve further investigation. |
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Vipin, Golla, T. R., Sharma, V., Kumar, B. K., Gaur, A. |
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Kleptoparasitic interaction between Snow Leopard Panthera uncia and Red Fox Vulpes vulpes suggested by circumstantial evidence in Pin Valley National Park, India |
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2022 |
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Journal of Threatened Taxa |
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14 |
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10 |
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21928-21935 |
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Animal interaction, carnivore, mammals, prey, Trans-Himalaya. |
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In the present study, we describe an interspecific kleptoparasitic interaction between two sympatric mammalian carnivores in the high altitudinal Trans-Himalaya region of Himachal Pradesh, India. The study was based on the inferences drawn from the circumstantial evidence (direct and indirect) noticed in the study area in Pin Valley National Park. The inferences from the analysis of the evidence suggested the interaction between a Snow Leopard Panthera uncia, a Red Fox Vulpes vulpes, and a donkey. The arrangement of evidence in a sequential manner suggested that a donkey was killed by a Snow Leopard and a Red Fox stole the food from the carrion of the Snow Leopard’s prey. The Red Fox was killed by the Snow Leopard, which was caught while stealing. The present study represents an example of kleptoparasitic interaction between the Snow Leopard and the Red Fox. This study also proves that such interactions may cost the life of a kleptoparasite and supports the retaliation behaviour of Snow Leopards. |
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