New Article to the Bibliography

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Title:  Understanding people’s responses toward predators in the Indian Himalaya

Authors:  Bhatia, S., Suryawanshi, K., Redpath, S. M., Mishra, C

Abstract:  Research on human–wildlife interactions has largely focused on the magnitude of wildlife‐caused damage, and the patterns and correlates of human attitudes and behaviors. We assessed the role of five pathways through which various correlates potentially influence human responses toward wild animals, namely, value orientation, social interactions (i.e. social cohesion and support), dependence on resources such as agriculture and livestock, risk perception and nature of interaction with the wild animal. We specifically evaluated their influence on people’s responses toward two large carnivores, the snow leopard Panthera uncia and the wolf Canis lupus in an agropastoral landscape in the Indian Trans‐Himalaya. We found that the nature of the interaction (location, impact and length of time since an encounter or depredation event), and risk perception (cognitive and affective evaluation of the threat posed by the animal) had a significant influence on attitudes and behaviors toward the snow leopard. For wolves, risk perception and social interactions (the relationship of people with local institutions and inter‐community dynamics) were significant. Our findings underscore the importance of interventions that reduce people’s threat perceptions from carnivores, improve their connection with nature and strengthen the conservation capacity of local institutions especially in the context of wolves.

 
 

New Article to the Bibliography

Please see details below, of a new article added to our Bibliography:
Title: Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India


Authors: Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S.Abstract:  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.

New Article to the Bibliography

 

Title: Implications of landscape genetics and connectivity of snow
leopard in the Nepalese Himalayas for its conservation.

Authors: Shrestha, B., Kindlmann, P.

Abstract:  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.

URL: https://snowleopardnetwork.org/bibliography/Shrestha_et_al_2020.pdf

New Articles to the Bibliography

Please find details of new articles added to the Bibliography:

Title: Patterns of human interaction with snow leopard and co-predators in the Mongolian western Altai: Current issues and perspectives

Authors: Augugliaro, C., Christe, P., Janchivlamdan, C., Baymanday, H., Zimmermann, F.

Abstract: Large carnivores can cause considerable economic damage, mainly due to livestock depredation. These conficts instigate negative attitude towards their conservation, which could in the extreme case lead to retaliatory killing. Here we focus on the snow leopard (Panthera uncia), a species of conservation concern with particularly large spatial requirements. We conducted the study in the Bayan Olgii province, one of the poorest provinces of Mongolia, where the majority of the human population are traditional herders. We conducted a survey among herders (N  261) through a semi-structured questionnaire with the aim to assess: the current and future herding practices and prevention measures, herders’ perceptions and knowledge of the environmental protection and hunting laws; the perceived livestock losses to snow leopard, wolf (Canis lupus), and wolverine (Gulo gulo), as well as to non-predatory factors; the key factors affecting livestock losses to these three large carnivores; and, finally, the attitudes towards these three large carnivores. Non-predatory causes of mortality were slightly higher than depredation cases, representing 4.5% and 4.3% of livestock holdings respectively. While no depredation of livestock was reported from wolverines, snow leopard and wolf depredation made up 0.2% and 4.1% of total livestock holdings, respectively. Herders’ attitudes towards the three large carnivores were negatively affected by the magnitude of the damages since they had a positive overall attitude towards both snow leopard and wolverine, whereas the attitude towards wolf was negative. We discuss conservation and management options to mitigate herder-snow leopard impacts. To palliate the negative consequences of the increasing trend in livestock numbers, herd size reduction should be encouraged by adding economic value to the individual livestock and/or by promoting alternative income and/or ecotourism. Furthermore, co-management between government and stakeholders would help tackle this complex problem, with herders playing a major role in the development of livestock management strategies. Traditional practices, such as regularly shifting campsites and using dogs and corrals at night, could reduce livestock losses caused by snow leopards.

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Title: Conservation and people: Towards an ethical code of conduct for the use of camera traps in wildlife research

Authors: Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C.

Abstract: 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.

URL: https://snowleopardnetwork.org/bibliography/Sharma_et_al_2020.pdf

Snow Leopard researchers call for ethical standards for wildlife camera trapping

Snow Leopard Trust press release via Mirage News

New research published in Ecological Evidence and Solutions explores the ethical and legal responsibilities of capturing humans on wildlife camera traps.

Camera traps set out for wildlife research often capture images of people including local community members and suspected poachers. A new article, published today in the peer-reviewed scientific journal Ecological Evidence and Solutions, calls for respecting the privacy of people photographed by remote cameras, and also lays out principles for fulfilling the public responsibility of reporting illegal activity caught on wildlife cameras.

New Article added to the Bibliography

Please find details below of a new article added to our Bibliography:

Title: What Factors Predispose Households in Trans-Himalaya (Central Nepal) to Livestock Predation by Snow Leopards?

Authors: Tiwari, M. P., Devkota, B. P., Jackson, R. M., Chhetri, B. B. K., Bagale, S.

Abstract: Livestock depredation across the trans-Himalaya causes significant economic losses to pastoralist communities. Quantification of livestock predation and the assessment of variables associated with depredation are crucial for designing effective long-term mitigation measures. We investigated the patterns and factors of livestock depredation by snow leopards (Panthera uncia) using semi-structured questionnaires targeting herders in the Narphu valley of the Annapurna Conservation Area, Nepal. During the two years (2017/18 and 2018/19), 73.9% of the households interviewed (n = 65) lost livestock to snow leopards, with an annual average loss of two livestock per household. Of the total depredation attributed to snow leopards, 55.4% were yak (mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8% cattle. Results from applying Generalized Linear Mixed Models (GLMMs) revealed the total number of livestock owned and the number of larger bodied livestock species as the main explanatory covariates explaining livestock depredation. Forty-one (41%) of all herders considered snow leopard’s preference for domestic livestock as the main factor in livestock predation, whereas only 5% perceived poor herding practice as the main reason for the loss. Our study found poor and changing herding practices in the valley, whereby 71% herders reported careful herding as a solution to snow leopard depredation, and 15% of herders considered the complete extermination of snow leopards as the best solution to the problem. Tolerance levels and awareness among herders towards snow leopard conservation is increasing, mainly due to the Buddhist religion and strict law enforcement within this protected area. We recommend the effective implementation of a community-based livestock insurance scheme to compensate the economic loss of herders due to predation and improved herding practices as the recommended mitigation measures for ensuring livestock security and snow leopards’ conservation in the valley.

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

New Articles to the Biblography

Please find below, details of new articles, added to the bibliography:

Title:  Identifying priority landscapes for conservation of snow leopards in Pakistan

Authors: Hameed, S., Din, J. U., Ali, H., Kabir, M., Younas, M., Rehman, E. U., Bari, F., Hao, W., Bischof, R., Nawaz, M. A.

Abstract:  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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Title: Fast, flexible alternatives to regular grid designs for spatial capture–recapture.

Authors: Durbach, I., Borchers, D., Sutherland, C., Sharma, K.

Abstract: Spatial capture–recapture (SCR) methods use the location of detectors (camera traps, hair snares and live-capture traps) and the locations at which animals were detected (their spatial capture histories) to estimate animal density. Despite the often large expense and effort involved in placing detectors in a landscape, there has been relatively little work on how detectors should be located. A natural criterion is to place traps so as to maximize the precision of density estimators, but the lack of a closed-form expression for precision has made optimizing this criterion computationally demanding. 2. Recent results by Efford and Boulanger (2019) show that precision can be well approximated by a function of the expected number of detected individuals and expected number of recapture events, both of which can be evaluated at low computational cost. We use these results to develop a method for obtaining survey designs that optimize this approximate precision for SCR studies using count or binary proximity detectors, or multi-catch traps. 3. We show how the basic design protocol can be extended to incorporate spatially varying distributions of activity centres and animal detectability. We illustrate our approach by simulating from a camera trap study of snow leopards in Mongolia and comparing estimates from our designs to those generated by regular or optimized grid designs. Optimizing detector placement increased the number of detected individuals and recaptures, but this did not always lead to more precise density estimators due to less precise estimation of the effective sampling area. In most cases, the precision of density estimators was comparable to that obtained with grid designs, with improvement in some scenarios where approximate CV(¬D) < 20% and density varied spatially. 4. Designs generated using our approach are transparent and statistically grounded. They can be produced for survey regions of any shape, adapt to known information about animal density and detectability, and are potentially easier and less costly to implement. We recommend their use as good, flexible candidate designs for SCR surveys when reasonable knowledge of model parameters exists. We provide software for researchers to construct their own designs, in the form of updates to design functions in the r package oSCR.

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Publication Alert: New Article to our Bibliography

Please see details below, of a new article added to our Bibliography:

Title: Meta-replication, sampling bias, and multi-scale model selection: A case study on snow leopard (Panthera uncia) in western China.

Authors: Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi,
K., Riordan, P.

Abstract: 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.

URL:https://snowleopardnetwork.org/bibliography/Atzeni_et_al_2020.pdf

 

Publication Alert: New articles to the Bibliography

Please find details below, of articles, added to the bibliography:

Title: Multiple factors influence local perceptions of snow leopards and Himalayan wolves in the central Himalayas, Nepal.

Authors: Chetri, M., Odden, M., Devineau, O., McCarthy, T., Wegge, P.

Abstract: An understanding of local perceptions of carnivores is important for conservation and management planning. In the central Himalayas, Nepal, we interviewed 428 individuals from 85 settlements using a semi-structured questionnaire to quantitatively assess local perceptions and tolerance of snow leopards and wolves. We used generalized linear mixed effect models to assess influential factors, and found that tolerance of snow leopards was much higher than of wolves. Interestingly, having experienced livestock losses had a minor impact on perceptions of the carnivores. Occupation of the respondents had a strong effect on perceptions of snow leopards but not of wolves. Literacy and age had weak impacts on snow leopard perceptions, but the interaction among these terms showed a marked effect, that is, being illiterate had a more marked negative impact among older respondents. Among the various factors affecting perceptions of wolves, numbers of livestock owned and gender were the most important predictors. People with larger livestock herds were more negative towards wolves. In terms of gender, males were more positive to wolves than females, but no such pattern was observed for snow leopards. People’s negative perceptions towards wolves were also related to the remoteness of the villages. Factors affecting people’s perceptions could not be generalized for the two species, and thus need to be addressed separately. We suggest future conservation projects and programs should prioritize remote settlements.

URL: https://snowleopardnetwork.org/bibliography/Chetri_et_al_2020.pdf

 

Title: Understanding people’s responses toward predators in the Indian Himalaya

Authors: Bhatia, S., Suryawanshi, K., Redpath, S. M., Mishra, C.

Abstract: Research on human–wildlife interactions has largely focused on the magnitude of wildlife‐caused damage, and the patterns and correlates of human attitudes and behaviors. We assessed the role of five pathways through which various correlates potentially influence human responses toward wild animals, namely, value orientation, social interactions (i.e. social cohesion and support), dependence on resources such as agriculture and livestock, risk perception and nature of interaction with the wild animal. We specifically evaluated their influence on people’s responses toward two large carnivores, the snow leopard Panthera uncia and the wolf Canis lupus in an agropastoral landscape in the Indian Trans‐Himalaya. We found that the nature of the interaction (location, impact and length of time since an encounter or depredation event), and risk perception (cognitive and affective evaluation of the threat posed by the animal) had a significant influence on attitudes and behaviors toward the snow leopard. For wolves, risk perception and social interactions (the relationship of people with local institutions and inter‐community dynamics) were significant. Our findings underscore the importance of interventions that reduce people’s threat perceptions from carnivores, improve their connection with nature and strengthen the conservation capacity of local institutions especially in the context of wolves.

URL: http://snowleopardnetwork.org/bibliography/Bhatia_et_al_2020.pdf

Publication Alert: New article added to the Bibliography

Please find details below, of a new article added to our Bibliography:

Title: The timing of breeding and independence for snow leopard females and their cubs.

Authors: Johansson, O., Ausilio, G., Low, M., Lkhagvajav, P., Weckworth, B., Sharma, K.

Abstract: Significant knowledge gaps persist on snow leopard demography and reproductive behavior. From a GPS-collared population in Mongolia, we estimated the timing of mating, parturition and independence. Based on three mother–cub pairs, we describe the separation phase of the cub from its mother as it gains independence. Snow leopards mated from January–March and gave birth from April–June. Cubs remained with their mother until their second winter (20–22 months of age) when cubs started showing movements away from their mother for days at a time. This initiation of independence appeared to coincide with their mother mating with the territorial male. Two female cubs remained in their mothers’ territory for several months after initial separation, whereas the male cub quickly dispersed. By comparing the relationship between body size and age of independence across 11 solitary, medium-to-large felid species, it was clear that snow leopards have a delayed timing of separation compared to other species. We suggest this may be related to their mating behavior and the difficulty of the habitat and prey capture for juvenile snow leopards. Our results, while limited, provide empirical estimates for understanding snow leopard ecology and for parameterizing population models.

URL: https://snowleopardnetwork.org/bibliography/Johansson_et_al_cub_independence_2020.pdf