AimMyanmar, an Indo-Burmese biodiversity hotspot, lacks baseline data on species occurrence and distribution. This hinders biodiversity monitoring and optimisation of conservation and development plans. We aim to document baseline mammal occupancy, interactions with environmental factors and scale-dependent responses.LocationHkakaborazi National Park, Htamanthi Wildlife Sanctuary, Alaungdaw Kathapa National Park, Rakhine Yoma Elephant Range, Say Taung and Myinmoletkhat Key Biodiversity Areas distributed across Myanmar.MethodsCamera trap data throughout Myanmar were used to analyse species occupancy. We conducted a multiscale hierarchical spatial modelling process, using local and pooled data across Myanmar. We also optimised spatial scale across five scales and six predictors, using univariate occupancy models. We then selected scale-optimised variables for multivariate modelling, repeating this process for each species across local, regional and national datasets.ResultsThe study identified 47 terrestrial species and observed strong scale-dependent nonstationarity in occupancy estimates. Relationships with environmental variables differed among species and were highly scale dependent. Importantly, occupancy estimates produced by pooling data across sites were greatly different from any of the estimates for the individual sites, suggesting that high heterogeneity in occurrence and abundance across sites among species requires local or nested occupancy estimates to account for spatial heterogeneity and variation.Main ConclusionsFuture conservation efforts should focus on Northern Myanmar if range-restricted and rare species are to be protected, while focus should still be given to common species which serve as potential indicators of overall community structure. The nonstationarity of occupancy results from different datasets underscores the potential for misleading interpretations from aggregated data in nonstationary ecological systems. Metareplicated analyses of local, geographically and ecologically proximal regional datasets provide an important view of spatial variation in occupancy patterns guiding conservation design and improving understanding of the drivers of biodiversity patterns and change across large regions, such as Southeast Asia.

We assessed habitat occupancy and distribution of principal tiger (Panthera tigris) ungulate prey species to assess factors affecting their occurrence and their potential contribution to low tiger presence in the core part of the Hukaung Valley Wildlife Sanctuary, in northern Myanmar. We surveyed for signs on 1,651 km of transects partitioned into 554 sampling units between November 2007 and May 2008. By incorporating seven environmental and four social covariates, we predicted habitat occupancy rates of 0.76 for gaur (Bos gaurus), 0.91 for sambar (Rusa unicolor), 0.57 for wild pigs (Sus scrofa), and 0.89 for northern red muntjac (Muntiacus vaginalis). Overall, shorter Euclidean distances to ranger stations and trails, decreased stream density, and broadleaved evergreen/semi-deciduous forest and relatively rare rain-fed cropland habitat occurrence positively influenced prey habitat occupancy; conversely, shorter Euclidean distances to villages, roads, and streams, higher elevations, and occurrence of mixed broadleaved and needle-leaved forest habitat negatively influenced occupancy. In addition, Euclidean distance to ranger stations, trails, and roads positively affected species detections, whereas shorter Euclidean distance to villages and streams, high elevations, and high precipitation negatively affected detections. Results indicated that all four prey species were relatively well-distributed through the Sanctuary core area, but comparisons with indices of abundance elsewhere suggest that prey density was low and would not likely support many tigers.

The co-occurrence of felid species in Southeast Asia provides an unusual opportunity to investigate guild structure and the factors controlling it. Using camera-trap data, we quantified the space use, temporal activity, and multi-dimensional niche overlap of the tiger, clouded leopard, Asiatic golden cat, marbled cat, and leopard cat in the Htamanthi Wildlife Sanctuary, Myanmar. We hypothesised that the spatio-temporal behaviour of smaller cats would reflect the avoidance of the larger cats, and similar-sized guild members would partition their niches in space or time to reduce resource competition. Our approach involved modelling single-species occupancy, pairwise spatial overlap using Bayesian inference, activity overlap with kernel density estimation, and multivariate analyses. The felid assembly appeared to be partitioned mainly on a spatial rather than temporal dimension, and no significant evidence of mesopredator release was observed. Nonetheless, the temporal association between the three mesopredators was inversely related to the similarity in their body sizes. The largest niche differences in the use of space and time occurred between the three smallest species. This study offers new insight into carnivore guild assembly and adds substantially to knowledge of five of the least known felids of conservation concern.

The effects of human disturbance represent one of the major threats for wildlife conservation. Many studies have shown that wildlife avoids or reduces direct contact with human activities through changes in activity patterns, and by minimizing spatiotemporal overlap. In this study, we investigated the possible effects of human presence on the temporal activity of medium-to-large mammals using two areas in Myanmar that differ in the intensity of human disturbance. We monitored temporal segregation mechanisms using camera trapping data and with two statistical approaches: daily activity overlaps between humans and wildlife and circular statistics. We did not find a significant difference in overlapping activity between areas but, thanks to circular statistics, we found that some species show changes in activity patterns, suggesting temporal avoidance. We observed that the daily activity of five species differed between areas of Myanmar, likely adopting mechanisms to reduce overlap in areas highly frequented by humans. Interestingly, these species are all threatened by hunting or poaching activities, four of which have been described in literature as “cathemeral”, or species that are active through day and night. This study suggests that some species adapt their behavior, at least partially, to avoid human presence in habitats with higher anthropic occurrence and increase our knowledge on the status of medium–large mammals in a poorly studied country as Myanmar.

Addressing the effects of human-caused habitat destruction on free-ranging threatened large carnivores requires actions that go ‘beyond borders’ in conserving and protecting their habitat and prey base. In this review, we compiled information from available literature on 20 years of conservation efforts aimed at tigers, co-predators, and their prey in the Far-Eastern Himalayan Landscape that is situated at the confluence of three global biodiversity hotspots covering parts of India, Myanmar, and China. The vast area of the proven biodiversity-rich forested landscape is highly suitable for long-term survival of carnivores, such as tigers. Habitat loss, ritual hunting, commercial exploitation, and poaching are the prevailing threats that have resulted in low tiger, co-predator, and prey population densities. Studies suggest that tiger presence is confined to a few areas, while other tiger populations have been extirpated across most parts of the landscape. Past research also suggests that the landscape holds low abundance of diverse prey species richness (n = 22), and urgent conservation measures are required to improve their habitat and numbers. This calls for greater regional and transboundary co-operation on research and knowledge sharing, conservation awareness programs for locals, and cross-border co-operation on wildlife monitoring. Strict policies are also required to enable PA managers to develop strategic plans to conserve large predators and protect their habitats and corridors.

Tropical forests comprise a critically impacted habitat, and it is known that altered forests host a lower diversity of mammal communities. In this study, we investigated the mammal communities of two areas in Myanmar with similar environmental conditions but with great differences in habitat degradation and human disturbance. The main goal was to understand the status and composition of these communities in an understudied area like Myanmar at a broad scale. Using camera trap data from a three-year-long campaign and hierarchical occupancy models with a Bayesian formulation, we evaluated the biodiversity level (species richness) and different ecosystem functions (diet and body mass), as well as the occupancy values of single species as a proxy for population density. We found a lower mammal diversity in the disturbed area, with a significantly lower number of carnivores and herbivores species. Interestingly, the area did not show alteration in its functional composition. Almost all the specific roles in the community were present except for apex predators, thus suggesting that the effects of human disturbance are mainly effecting the communities highest levels. Furthermore, two species showed significantly lower occupancies in the disturbed area during all the monitoring campaigns: one with a strong pressure for bushmeat consumption and a vulnerable carnivore threatened by illegal wildlife trade.

Effective conservation demands more accurate and reliable methods of survey and monitoring of populations. Surveys of gibbon populations have relied mostly on mapping of groups in "listening areas" using acoustical point-count data. Traditional methods of estimating density in have usually used counts of gibbon groups within fixed-radius areas or areas bounded by terrain barriers to sound transmission, and have not accounted for possible decline in detectability with distance. In this study we sampled the eastern hoolock gibbon (Hoolock leucogenys) population in Htamanthi Wildlife Sanctuary (WS), Myanmar, using two methods: the traditional point-count method with fixed-radius listening areas, and a newer method using point-transect Distance analysis from a sample point established in the center of each listening point array. The basic data were obtained by triangulating on singing groups from four LPs for 4 days, in 10 randomly selected sample areas within the sanctuary. The point transect method gave an average density of 3.13 groups km(-2), higher than the estimates of group density within fixed-radius areas without correction for detectability. A new method of analysis of singing probability per day (p[1]) gave an estimate of 0.547. Htamanthi WS is an important conservation area containing an estimated 7000 (95% confidence interval: 5000-10,000) hoolock groups. Surveys at Htamanthi WS and locations in the Hukaung Valley suggest that the extensive evergreen forests in northern Myanmar have the capacity to support 2-4 (average about 3) groups of hoolock gibbons per km(2), but most forests in its range have yet to be surveyed.

Context After decades of political and economic isolation, Myanmar is now the focus of large international investments, particularly from China, which raises questions of how to balance national development with safeguarding the Indo-Burma biodiversity hotspot. Objective To evaluate the impact of five major developments in Myanmar on forest ecosystems, using clouded leopard as a focal and umbrella species for wider biodiversity conservation. Methods Based on an empirical habitat relationships model, we identified core areas and corridors in Myanmar, and compared them across the development scenarios. We simulated population dynamics and genetic diversity in each scenario using an individual-based, spatially explicit cost-distance population genetics model. Results The predicted current clouded leopard population may be larger than the current carrying capacity of the landscape, raising the possibility that the species’ population has not yet equilibrated with recent habitat loss and degradation. All the developments combined resulted in 36% decrease in landscape connectivity and 29% decrease in simulated clouded leopard population size, including substantial reduction in genetic diversity. Each development was predicted to have a negative effect; however, emerging economic zones had disproportionally large impacts (− 24% in connectivity and − 25% in population size), resulting in fragmentation of the largest core areas. Similarly, the Indian Highway and Silk Road caused fragmentation of the largest core habitats, and the Pipeline Railroad significantly decreased connectivity in the main stronghold for clouded leopards. Conclusions Spatially-explicit assessments like the one presented here provide quantitative evaluation on development impacts and help optimize the trade-offs between development and conservation. The rapid and increasing development of Myanmar and surrounding Southeast Asian nations pose an enormous threat to the biodiversity of the region. Optimizing the trade-off between development goals and conservation is essential to minimize the effects of rapid land use change on biodiversity.

Aim Deforestation is rapidly altering Southeast Asian landscapes, resulting in some of the highest rates of habitat loss worldwide. Among the many species facing declines in this region, clouded leopards rank notably for their ambassadorial potential and capacity to act as powerful levers for broader forest conservation programmes. Thus, identifying core habitat and conservation opportunities are critical for curbing further Neofelis declines and extending umbrella protection for diverse forest biota similarly threatened by widespread habitat loss. Furthermore, a recent comprehensive habitat assessment of Sunda clouded leopards (N. diardi) highlights the lack of such information for the mainland species (N. nebulosa) and facilitates a comparative assessment. Location Southeast Asia. Methods Species-habitat relationships are scale-dependent, yet <5% of all recent habitat modelling papers apply robust approaches to optimize multivariate scale relationships. Using one of the largest camera trap datasets ever collected, we developed scale-optimized species distribution models for two con-generic carnivores, and quantitatively compared their habitat niches. Results We identified core habitat, connectivity corridors, and ranked remaining habitat patches for conservation prioritization. Closed-canopy forest was the strongest predictor, with similar to 25% lower Neofelis detections when forest cover declined from 100 to 65%. A strong, positive association with increasing precipitation suggests ongoing climate change as a growing threat along drier edges of the species' range. While deforestation and land use conversion were deleterious for both species, N. nebulosa was uniquely associated with shrublands and grasslands. We identified 800 km(2) as a minimum patch size for supporting clouded leopard conservation. Main conclusions We illustrate the utility of multi-scale modelling for identifying key habitat requirements, optimal scales of use and critical targets for guiding conservation prioritization. Curbing deforestation and development within remaining core habitat and dispersal corridors, particularly in Myanmar, Laos and Malaysia, is critical for supporting evolutionary potential of clouded leopards and conservation of associated forest biodiversity.

Sun bears (Helarctos malayanus) have a wide distribution in Southeast Asia, but little is known about their natural predators. During a camera-trap survey in 2018 in Htamanthi Wildlife Sanctuary, Myanmar, we photographed a male leopard (Panthera pardus) carrying a sun bear cub by the throat. This is the first reported case of probable predation on sun bears by leopards, and only their second confirmed predator. A literature review showed that consumption of sun bears and Asiatic black bears (Ursus thibetanus) by tigers (P. tigris) was widespread in Southeast Asia, whereas consumption of both bear species by leopards and dholes (Cuon alpinus) was less common. Outside of Southeast Asia, tigers and leopards, but not dholes, were shown to kill or consume other bear species. Future research should examine interspecific relationships between sun bears and large felids to better understand what, if any, impacts large felids have on sun bear ecology.

Abstract The clouded leopard Neofelis nebulosa is a potent ambassador species for conservation, occurring from the Himalayan foothills eastwards to Indochina, between which Myanmar is a biogeographical land bridge. In Myanmar's Northern Forest Complex, the species co-occurs with the tiger Panthera tigris, leopard Panthera pardus, marbled cat Pardofelis marmorata, golden cat Catopuma temminckii and leopard cat Prionailurus bengalensis. We deployed cameras within the Htamanthi Wildlife Sanctuary over 2 consecutive years. In 2014–2015 we deployed 82 camera stations around the Nam Pa Gon stream (Catchment 1) for 7,365 trap days. In 2015–2016 we deployed 80 camera stations around the Nam E Zu stream (Catchment 2) for 7,192 trap days. In Catchment 1 we identified five tigers from 26 detections, five clouded leopards from 41 detections (68 photographs) and 11 marbled cats from 13 detections. Using Bayesian-based spatial capture–recapture we estimated the densities of tigers and clouded leopards to be 0.81 ± SD 0.40 and 0.60 ± SD 0.24 individuals per 100 km2, respectively. In Catchment 2 we identified two tigers from three detections, nine clouded leopards from 55 detections and 12 marbled cats from 37 detections. Densities of clouded leopards and marbled cats were 3.05 ± SD 1.03 and 8.80 ± SD 2.06 individuals per 100 km2, respectively. These differences suggest that human activities, in particular gold mining, are affecting felid populations, and these are a paramount concern in Htamanthi. We demonstrate the importance of Htamanthi within the Northern Forest Complex and highlight the Yawbawmee corridor as a candidate for protection.

The Indochinese leopard (Panthera pardus delacouri) is a genetically distinct subspecies that historically occurred throughout mainland Southeast Asia, but might have experienced recent declines in numbers and distribution. This study aimed to determine the current distribution of the Indochinese leopard, and estimate its population size, by reviewing data from camera trap and other wildlife surveys conducted during the past 20years. Our results showed the Indochinese leopard likely now occurs only in 6.2% of its historical range, with only 2.4% of its distribution in areas of confirmed leopard presence. The leopard is extirpated in Singapore, likely extirpated in Laos and Vietnam, nearly extirpated in Cambodia and China, and has greatly reduced distributions in Malaysia, Myanmar, and Thailand. There are plausibly only two major strongholds remaining, which we consider priority sites: Peninsular Malaysia, and the Northern Tenasserim Forest Complex. We also identified a small isolated population in eastern Cambodia as a third priority site, because of its uniqueness and high conservation value. We estimate a total remaining population of 973–2503 individuals, with only 409–1051 breeding adults. Increased poaching for the illegal wildlife trade likely is the main factor causing the decline of the Indochinese leopard. Other potential contributing factors include prey declines, habitat destruction, and possibly disease. We recommend a separate IUCN assessment for the Indochinese leopard, and that this subspecies be classified as Endangered. Our findings provide important information that can help guide where conservation actions would be most effective in preventing the extinction of this subspecies.

Myanmar is regarded as a last frontier of biodiversity in Asia. We used results from camera-traps set for tigers (Panthera tigris) during 2001-2011 in the Hukaung Valley Wildlife Sanctuary of northern Myanmar to assess overall species richness of large mammals and birds, and to identify differences in species detection rates spatially and temporally. We deployed 403 camera stations during the dry seasons, October-July, of 2001-2011, placing 260 in the Core area (similar to 1,800 km(2)) and 143 in the Extension area (similar to 15,500 km(2)). From 10,750 trap-nights we obtained 2,077 independent photographs of wildlife species and 645 of humans. Wildlife included 35 species of mammals (19 carnivores, four primates, one elephant, six even-toed ungulates, one pangolin, and four rodents) and 16 species of birds. Of these, one is considered Critically Endangered, seven are Endangered, 11 are Vulnerable, and 5 are Near Threatened. Some species that probably occur in the Sanctuary (e.g., arboreal or semi-aquatic mammals) were not recorded, likely because of camera placement or rarity. In total, 48 species of wildlife were recorded in the Core area, while only 33 species were detected in the Extension area. Roughly half of the photographs were of poachers, villagers, and park rangers. The greater diversity of wildlife in the Core area may be partly due to increased patrol efforts, but is most likely due to differences in elevation, slope, density of streams, trails, and roads, and vegetation, all of which influence access to poachers. The decline in detection of tigers in the Core area, and several of their prey species, during this decade-long study suggests a need for increased management of human activities in order to conserve wildlife diversity in the Hukaung Valley Wildlife Sanctuary.