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| Author | Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. | ||||
| Title | Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection | Type | Journal Article | ||
| Year | 2023 | Publication | Ecological Informatics | Abbreviated Journal | |
| Volume | 77 | Issue | 102214 | Pages | 1-14 |
| Keywords | Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards | ||||
| Abstract | 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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| Call Number | SLN @ rakhee @ | Serial | 1723 | ||
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| Author | Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. | ||||
| Title | Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China | Type | Journal Article | ||
| Year | 2023 | Publication | Landscape Ecology | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Landscape genetics · MLPE · Gene flow · Genetic distance · Isolation by distance · Isolation by resistance · Landscape resistance · Snow leopard · Principal component analysis | ||||
| Abstract | Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance. Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance. Results: Genetically optimized models always out-performed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges. Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning. |
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| Call Number | SLN @ rakhee @ | Serial | 1720 | ||
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| Author | Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. | ||||
| Title | Research trends and management options in human-snow leopard conflict | Type | Journal Article | ||
| Year | 2020 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | 242 | Issue | 108413 | Pages | 1-10 |
| Keywords | Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation | ||||
| Abstract | 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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| Call Number | SLN @ rakhee @ | Serial | 1716 | ||
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| Author | 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. | ||||
| Title | Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies | Type | Journal Article | ||
| Year | 2023 | Publication | Global Ecology & Conservation | Abbreviated Journal | |
| Volume | 41 | Issue | e02350 | Pages | 1-13 |
| Keywords | Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter | ||||
| Abstract | 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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| Call Number | SLN @ rakhee @ | Serial | 1715 | ||
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| Author | Kachel, S., Bayrakcismith, R., Kubanychbekov, Z., Kulenbekov, R., McCarthy, T., Weckworth, B., Wirsing, A. | ||||
| Title | Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Animal Ecology | Abbreviated Journal | |
| Volume | Issue | Pages | 1-16 | ||
| Keywords | landscape of fear, multiple-predator effects, non-consumptive effects, predation-risk effects, predator facilitation, risk allocation, snow leopard, wolf | ||||
| Abstract | 1. Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e. multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems. 2. The interaction of predator and prey traits has emerged as a potentially key driver of antipredator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator–multi-prey system. 3. Specifically, we explored how two sympatric ungulates with different escape tactics—vertically agile, scrambling ibex Capra sibirica and sprinting argali Ovis ammon—responded to predation risk from shared predators with contrasting hunting modes—cursorial wolves Canis lupus and vertical-ambushing, stalking snow leopards Panthera uncia. 4. Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulates' exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting antipredator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators—a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking. 5. Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators. |
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| Call Number | SLN @ rakhee @ | Serial | 1704 | ||
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| Author | Janecka, J. E., Jackson, R., Munkhtsog, B., Murphy, W. J. | ||||
| Title | Characterization of 9 microsatellites and primers in snow leopards and a species-specific PCR assay for identifying noninvasive samples | Type | Journal Article | ||
| Year | 2014 | Publication | Conservation Genetic Resource | Abbreviated Journal | |
| Volume | 6 | Issue | 2 | Pages | 369:373 |
| Keywords | Microsatellites,Cytochrome b, Snow Leopard, Noninvasive genetics, Individual identification | ||||
| Abstract | Molecular markers that can effectively identify noninvasively collected samples and provide genetic information are critical for understanding the distribution, status, and ecology of snow leopards (Panthera uncia). However, the low DNA quantity and quality in many noninvasive samples such as scats makes PCR amplification and genotyping challenging. We therefore designed primers for 9 microsatellites loci previously isolated in the domestic cat (Felis catus) specifically for snow leopard studies using noninvasive samples. The loci showed moderate levels of variation in two Mongolian snow leopard populations. Combined with seven other loci that we previously described, they have sufficient variation (He = 0.504, An = 3.6) for individual identification and population structure analysis. We designed a species species specific PCR assay using cytochrome b for identification of unknown snow leopard samples. These molecular markers facilitate in depth studies to assess distribution, abundance, population structure, and landscape connectivity of this endangered species. |
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| Call Number | SLN @ rakhee @ | Serial | 1428 | ||
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| Author | Kashkarov, E. | ||||
| Title | ZOOGEOGRAPHICAL DISCOVERIES IN WESTERN BERINGIA | Type | Journal Article | ||
| Year | 2017 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 208-217 | ||
| Keywords | zoogeographical discoveries, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, global warming, hundred-year rhythm, Beringia, Koryakia, Chukotka. | ||||
| Abstract | Among zoogeographical discoveries of the frontier of XXI century there is nothing more interesting than discoveries of Rodion Sivolobov in Western Beringia. Beringia has surprised us by paleontological discoveries many centuries ago, and also surprised by modern one. Somehow they came out of attention of all International environmental foundations and Academies of the world, as if on purpose to show their professional incompetence. It is the only way to describe the organization, not to notice the appearance of such big cats as the Snow leopard and Amur tiger for 5,000 kilometers from the border of main range, as well as large Pleistocene relict � the Irkuyembear. All three endangered species of mammals found by Sivolobov in Koryakia and Chukotka, and for the snow leopard he took the world's first photo in Beringia. New facts suggests two things: (1) the ancient refuges of big cats locate to Koryakia and Chukotka much closer of main ranges, (2) global warming, changing natural environment on the waves of hundred-year rhythms, periodically pushing irbis and tiger on the ways of ancient Beringian migrations stored in their genetic memories. Irkuyem is a contemporary of the mammoth. 209 Unlike it, this bear lived up to our days, but remained undetected even by the large “mammoths” of science. |
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| Call Number | SLN @ rakhee @ | Serial | 1455 | ||
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| Author | Kashkarov, E. | ||||
| Title | THE SNOW LEOPARD OF KIRGIZIA: NATIONAL SHAME OR NATIONAL PRIDE | Type | Journal Article | ||
| Year | 2017 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 239-253 | ||
| Keywords | snow leopard, irbis, ibex, mountain sheep, conservation, range, reserve, monitoring, cameratrap, Sarychat, Kirgizia, Central Asia. | ||||
| Abstract | Article examines the problems existing in conservation of the snow leopard in Kirgizia after break-up of the USSR. Unfortunate situation is common to most of the 14 countries in the snow leopard range, but seems especially sharp to Kirgizia. Yet half of the century ago Kirgizia has had about 1.5 thousand of the snow leopards, and today there remains no more than 1/10. In Soviet time Kirgizia was a global supplier of the snow leopards for the zoo-export � to create a reserve number of endangered cats in captivity. Today, at least half of the snow leopards in the Zoos of the world are individuals, caught in Kirgizia or their descendants. Since independence, Kirgizia has set new records. In Sarychat-Irtash reserve � the best for the snow leopard in Central Asia, and probably in the whole range � this species was completely destroyed after 3 years of reserve opening... and 17 years later � revived... Situation comes presently back to the worst-case scenario, and not only for the snow leopard. Author shows how work in this direction social and economic levers, and what kind future he would like to see in Kirgizia, where he lived for 12 years and was at the forefront of pioneering research of the snow leopard and its conservation. |
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| Call Number | SLN @ rakhee @ | Serial | 1454 | ||
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| Author | Din, J. U., Ali, H., Ali, A., Younus, M., Mehmood,, T., Rashid, Y. N., Nawaz, M. A. | ||||
| Title | Pastoralist-predator interaction at the roof of the world: Conflict dynamics and implications for conservation | Type | Journal Article | ||
| Year | 2017 | Publication | Ecology and Society | Abbreviated Journal | |
| Volume | 22 | Issue | 2 | Pages | |
| Keywords | Afghan Pamir; carnivore; conflict; Pak Pamir; pastoralist; predation; snow leopard; Tajik Pamir; wolf | ||||
| Abstract | Pastoralism and predation are two major concomitantly known facts and matters of concern for conservation biologists worldwide. Pastoralist-predator conflict constitutes a major social-ecological concern in the Pamir mountain range encompassing Afghanistan, Pakistan, and Tajikistan, and affects community attitudes and tolerance toward carnivores. Very few studies have been conducted to understand the dynamics of livestock predation by large carnivores like snow leopards (Panthera uncia) and wolves (Canis lupus), owing to the region�s remoteness and inaccessibility. This study attempts to assess the intensity of livestock predation (and resulting perceptions) by snow leopards and wolves across the Afghani, Pakistani, and Tajik Pamir range during the period January 2008�June 2012. The study found that livestock mortality due to disease is the most serious threat to livestock (an average 3.5 animal heads per household per year) and ultimately to the rural economy (an average of US$352 per household per year) as compared to predation (1.78 animal heads per household per year, US$191) in the three study sites. Overall, 1419 (315 per year) heads of livestock were reportedly killed by snow leopards (47%) and wolves (53%) in the study sites. People with comparatively smaller landholdings and limited earning options, other than livestock rearing, expressed negative attitudes toward both wolves and snow leopards and vice versa. Education was found to be an effective solution to dilute people�s hatred for predators. Low public tolerance of the wolf and snow leopard in general explained the magnitude of the threat facing predators in the Pamirs. This will likely continue unless tangible and informed conservation measures like disease control and predation compensation programs are taken among others. |
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| Call Number | SLN @ rakhee @ | Serial | 1453 | ||
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| Author | Suryawanshi, K. R., Redpath, S. M., Bhatnagar, Y. V., Ramakrishnan, U., Chaturvedi, V., Smout, S. C., Mishra, C. | ||||
| Title | Impact of wild prey availability on livestock predation by snow leopards | Type | Journal Article | ||
| Year | Publication | Royal Society Open Science | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-11 | ||
| Keywords | apparent competition, apparent facilitation, conservation conflicts, indirect interactions, predator� prey interactions, snow leopard | ||||
| Abstract | An increasing proportion of the world�s poor is rearing livestock today, and the global livestock population is growing. Livestock predation by large carnivores and their retaliatory killing is becoming an economic and conservation concern. A common recommendation for carnivore conservation and for reducing predation on livestock is to increase wild prey populations based on the assumption that the carnivores will consume this alternative food. Livestock predation, however, could either reduce or intensify with increases in wild prey depending on prey choice and trends in carnivore abundance. We show that the extent of livestock predation by the endangered snow leopard Panthera uncia intensifies with increases in the density of wild ungulate prey, and subsequently stabilizes. We found that snow leopard density, estimated at seven sites, was a positive linear function of the density of wild ungulates�the preferred prey�and showed no discernible relationship with livestock density. We also found that modelled livestock predation increased with livestock density. Our results suggest that snow leopard conservation would benefit from an increase in wild ungulates, but that would intensify the problem of livestock predation for pastoralists. The potential benefits of increased wild prey abundance in reducing livestock predation can be overwhelmed by a resultant increase in snow leopard populations. Snow leopard conservation efforts aimed atfacilitating increases in wild prey must be accompanied by greater assistance for better livestock protection and offsetting the economic damage caused by carnivores. |
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| Call Number | SLN @ rakhee @ | Serial | 1452 | ||
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