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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 (up) 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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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1720
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Author Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C., Suryawanshi, K.
Title Understanding population baselines: status of mountain ungulate populations in the Central Tien Shan Mountains, Kyrgyzstan Type Journal Article
Year 2020 Publication (up) Mammalia Abbreviated Journal
Volume Issue Pages 1-8
Keywords conservation; human-use landscapes; hunting concession; mountain ungulates; population baselines; protected areas.
Abstract We assessed the density of argali (Ovis ammon) and ibex

(Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring

Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use

landscape which is a partly licenced hunting concession for mountain

ungulates and has several livestock herders and their permanent

residential structures. Population monitoring of mountain ungulates can

help in setting measurable conservation targets such as appropriate

trophy hunting quotas and to assess habitat suitability for predators

like snow leopards (Panthera uncia). We employed the double-observer

method to survey 573 km2 of mountain ungulate habitat inside Sarychat

and 407 km2 inside Koiluu. The estimated densities of ibex and argali in

Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI

1.01–2.20) individuals km-2, respectively. Total ungulate density in

Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record

argali in Koiluu, whereas the density of ibex was 0.75 (95% CI

0.50–1.27) individuals km-2. While strictly protected areas can achieve

high densities of mountain ungulates, multi-use areas can harbour

meaningful

though suppressed populations. Conservation of mountain ungulates and

their predators can be enhanced by maintaining Sarychat-like “pristine”

areas interspersed within a matrix of multi-use areas like Koiluu.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Serial 1610
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Author Johansson, O., Ausilio, G., Low, M., Lkhagvajav, P., Weckworth, B., Sharma, K.
Title The timing of breeding and independence for snow leopard females and their cubs. Type Journal Article
Year 2020 Publication (up) Mammalian Biology Abbreviated Journal
Volume Issue Pages
Keywords Age of independence; Life-history trade-offs; Panthera uncia; Parental care; Pre-dispersal behavior; Separation; Subadult
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.
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Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes Approved no
Call Number Serial 1613
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Author Singh, S. K., De, R., Sharma, R., Maheshwari, A., Joshi, B. D., Sharma, D., Sathyakumar, S., Habib, B., Goyal, S. P.
Title Conservation importance of the strategic, centrally located snow leopard population in the western Himalayas, India: a genetic perspective Type Journal Article
Year 2022 Publication (up) Mammalian Biology Abbreviated Journal
Volume Issue Pages 13
Keywords Panthera uncia, Western Himalayas, Microsatellite, Genetic diversity, Functional connectivity
Abstract The snow leopard population in Union Territory of Ladakh (UTL), India is at the centre of five out of eight mountain ranges within the species' habitat in the high-mountain Asia. Its strategic location is of immense conservation significance to maintain genetic connectivity and metapopulation dynamics of snow leopards (Panthera uncia). Therefore, we provide the first estimates of the snow leopard's individual-based spatial genetic characteristics from UTL. Multi-locus genotyping (n = 14 loci) of individuals (n = 19) revealed moderate genetic diversity in the population (mean number of alleles = 5.86 ± 0.55, observed heterozygosity = 0.48 ± 0.05, expected heterozygosity = 0.65 ± 0.03, allelic richness = 2.65 ± 0.15). We did not observe any evidence of population structuring (using STRUCTURE and Factorial Correspondence Analysis) or isolation by distance. However, the clustering approach based on genetic distance (Nei's standard distance and Cavalli-Sforza and Edwards distance) and subsequent discriminant analysis of principal components (DAPC) revealed three sub-clusters of related individuals within the study population without any spatial correlates. We observed 1.2% first-order relatives, suggesting sufficient dispersal and panmixia in the UTL population. We observed high fixation index (FIS = 0.26 ± 0.05; 0.17 ± 0.03 upon removing loci with null alleles) and presence of individuals from genetically divergent populations in UTL. Hence, the high positive FIS value could be attributed to both Wahlund effect and inbreeding. Prioritization and effective conservation planning of the UTL population as a source would benefit the global snow leopard population by (i) maintaining connectivity between the Himalayas and the central Asian mountain ranges, and (ii) providing refuge during future climate change-related range contraction.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Call Number SLN @ rakhee @ Serial 1694
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Author Sultan, H., Rashid, W., Shi, J., Rahim, I. U., Nafees, M., Bohnett, E., Rashid, S., Khan, M. T., Shah, I. A., Han, H., Ariza-Montes, A.
Title Horizon Scan of Transboundary Concerns Impacting Snow Leopard Landscapes in Asia Type Journal Article
Year 2022 Publication (up) MDPI Abbreviated Journal Land
Volume 11 Issue 248 Pages 1-22
Keywords collaboration; habitat; innovative solutions; integrated landscape approach; socio- ecological system; trade corridor; tourism
Abstract The high-altitude region of Asia is prone to natural resource degradation caused by a variety of natural and anthropogenic factors that also threaten the habitat of critical top predator species, the snow leopard (Panthera uncia). The snow leopard’s landscape encompasses parts of the twelve Asian countries and is dominated by pastoral societies within arid mountainous terrain. However, no investigation has assessed the vulnerability and pathways towards long-term sustainability on the global snow leopard landscape scale. Thus, the current study reviewed 123 peer-reviewed scientific publications on the existing knowledge, identified gaps, and proposed sustainable mitigation options for the longer term and on larger landscape levels in the range countries. The natural resource degradation in this region is caused by various social, economic, and ecological threats that negatively affect its biodiversity. The factors that make the snow leopard landscapes vulnerable include habitat fragmentation through border fencing, trade corridor infrastructure, non-uniform conservation policies, human–snow leopard conflict, the increasing human population, climatic change, land use and cover changes, and unsustainable tourism. Thus, conservation of the integrated Socio-Ecological System (SES) prevailing in this region requires a multi-pronged approach. This paper proposes solutions and identifies the pathways through which to implement these solutions. The prerequisite to implementing such solutions is the adoption of cross-border collaboration (regional cooperation), the creation of peace parks, readiness to integrate transnational and cross-sectoral conservation policies, a focus on improving livestock management practices, a preparedness to control human population growth, a readiness to mitigate climate change, initiating transboundary landscape-level habitat conservation, adopting environment-friendly trade corridors, and promoting sustainable tourism. Sustainable development in this region encompasses the political, social, economic, and ecological landscapes across the borders.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1671
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Author Durbach, I., Borchers, D., Sutherland, C., Sharma, K.
Title Fast, flexible alternatives to regular grid designs for spatial capture–recapture. Type Research Article
Year 2020 Publication (up) Methods in Ecology and Evolution Abbreviated Journal
Volume Issue Pages 1-13
Keywords camera trap, population ecology,sampling, spatial capture-recapture, surveys
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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Call Number Serial 1618
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Author Nawaz, M. A., Khan, B. U., Mahmood, A., Younas, M., Din, J. U, Sutherland, C.
Title An empirical demonstration of the effect of study design on density estimations Type Journal Article
Year 2021 Publication (up) Nature Abbreviated Journal
Volume 11 Issue 13104 Pages 1-9
Keywords
Abstract The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating ?. On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling.
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Notes Approved no
Call Number Serial 1642
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Author Nawaz, M. A., Khan, B. U., Mahmood, A., Younas, M., Din, J. U, Sutherland, C.
Title An empirical demonstration of the effect of study design on density estimations Type Journal Article
Year 2021 Publication (up) Nature Abbreviated Journal
Volume 11 Issue 13104 Pages 1-9
Keywords
Abstract The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Notes Approved no
Call Number SLT @ jeffb @ Serial 1652
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Author Din, J. U., Bari, F., Ali, H., Rehman, E. U., Adli, D. S. H., Abdullah, N. A., Norma-Rashid, Y., Kabir, M., Hameed, S., Nawaz, D. A., Nawaz, M. A.
Title Drivers of snow leopard poaching and trade in Pakistan and implications for management Type Journal Article
Year 2022 Publication (up) Nature Conservation Abbreviated Journal
Volume 46 Issue Pages 49-62
Keywords conflict, illegal trade, northern Pakistan, pelt, poaching; retaliatory killing
Abstract The snow leopard is one of the highly valued species from high-altitude mountain ecosystems of Central and Southeast Asia, including Pakistan. This keystone species is facing a myriad of conventional and emerging threats, including poaching and trade, that are poorly documented in Pakistan. To understand the dynamics and drivers of the poaching and trading of snow leopards in Pakistan, we investigated the issue in depth through a multifaceted survey in the snow leopard range of the country. We recorded 101 snow leopard poaching incidences from 11 districts during 2005–2017. The reported poaching incidences varied spatially (‒x = 9 ± 2.6 [95% Cl: 3–15]) and temporally (‒x = 7.8 ± 1.09) and accounted for 2–4% annual population loss (n = 200–420) in a period of 13 years. Poaching and trade together constituted 89% of the total incidence reported and animals were mostly shot (66%), poisoned (12%), snared (12%) and captured (4%), respectively. Only a fraction (3%) of the incidences were reported to the relevant law enforcement agencies. Trade routes included large cities and neighbouring countries, even the Middle East and Europe. The average base and end prices for each item were 245 ± 36 USD and 1,736 ± 520 USD, respectively, while maximum monetary fines set as per the law were 275 USD. Our results establish the need for developing multi-stakeholder coordination mechanisms at regional, national and international levels and information sharing to curb this menace. Improving the existing laws and surveillance system, while taking the local communities onboard, will further help to this end.
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Call Number SLN @ rakhee @ Serial 1672
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Author Johansson, O., Mishra, C., Chapron, G., Samelius, G., Lkhagvajav, P., McCarthy, T., Low, M.
Title Seasonal variation in daily activity patterns of snow leopards and their prey Type Journal Article
Year 2022 Publication (up) Nature Portfolio Abbreviated Journal
Volume 12 Issue 21681 Pages 1-11
Keywords
Abstract The daily and seasonal activity patterns of snow leopards (Panthera uncia) are poorly understood, limiting our ecological understanding and hampering our ability to mitigate threats such as climate change and retaliatory killing in response to livestock predation. We fitted GPS-collars with activity loggers to snow leopards, Siberian ibex (Capra sibirica: their main prey), and domestic goats (Capra hircus: common livestock prey) in Mongolia between 2009 and 2020. Snow leopards were facultatively nocturnal with season-specific crepuscular activity peaks: seasonal activity shifted towards night- sunrise during summer, and day-sunset in winter. Snow leopard activity was in contrast to their prey, which were consistently diurnal. We interpret these results in relation to: (1) darkness as concealment for snow leopards when stalking in an open landscape (nocturnal activity), (2) low-intermediate light preferred for predatory ambush in steep rocky terrain (dawn and dusk activity), and (3) seasonal activity adjustments to facilitate thermoregulation in an extreme environment. These patterns suggest that to minimise human-wildlife conflict, livestock should be corralled at night and dawn in summer, and dusk in winter. It is likely that climate change will intensify seasonal effects on the snow leopard’s daily temporal niche for thermoregulation in the future.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1710
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