Grant Connette

Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region

We investigated the use of multi-spectral Landsat OLI imagery for delineating mangrove, lowland evergreen, upland evergreen and mixed deciduous forest types in Myanmar’s Tanintharyi Region and estimated the extent of degraded forest for each unique forest type. We mapped a total of 16 natural and human land use classes using both a Random Forest algorithm and a multivariate Gaussian model while considering scenarios with all natural forest classes grouped into a single intact or degraded category. Overall, classification accuracy increased for the multivariate Gaussian model with the partitioning of intact and degraded forest into separate forest cover classes but slightly decreased based on the Random Forest classifier. Natural forest cover was estimated to be 80.7% of total area in Tanintharyi. The most prevalent forest types are upland evergreen forest (42.3% of area) and lowland evergreen forest (21.6%). However, while just 27.1% of upland evergreen forest was classified as degraded (on the basis of canopy cover <80%), 66.0% of mangrove forest and 47.5% of the region’s biologically-rich lowland evergreen forest were classified as degraded. This information on the current status of Tanintharyi’s unique forest ecosystems and patterns of human land use is critical to effective conservation strategies and land-use planning.

Assessment of Mining Extent and Expansion in Myanmar Based on Freely-Available Satellite Imagery

Using freely-available data and open-source software, we developed a remote sensing methodology to identify mining areas and assess recent mining expansion in Myanmar. Our country-wide analysis used Landsat 8 satellite data from a select number of mining areas to create a raster layer of potential mining areas. We used this layer to guide a systematic scan of freely-available fine-resolution imagery, such as Google Earth, in order to digitize likely mining areas. During this process, each mining area was assigned a ranking indicating our certainty in correct identification of the mining land use. Finally, we identified areas of recent mining expansion based on the change in albedo, or brightness, between Landsat images from 2002 and 2015. We identified 90,041 ha of potential mining areas in Myanmar, of which 58% (52,312 ha) was assigned high certainty, 29% (26,251 ha) medium certainty, and 13% (11,478 ha) low certainty. Of the high-certainty mining areas, 62% of bare ground was disturbed (had a large increase in albedo) since 2002. This four-month project provides the first publicly-available database of mining areas in Myanmar, and it demonstrates an approach for large-scale assessment of mining extent and expansion based on freely-available data.

Rapid forest clearing in a Myanmar proposed national park threatens two newly discovered species of geckos (Gekkonidae: Cyrtodactylus)

Myanmar’s recent transition from military rule towards a more democratic government has largely ended decades of political and economic isolation. Although Myanmar remains heavily forested, increased development in recent years has been accompanied by exceptionally high rates of forest loss. In this study, we document the rapid progression of deforestation in and around the proposed Lenya National Park, which includes some of the largest remaining areas of lowland evergreen rainforest in mainland Southeast Asia. The globally unique forests in this area are rich in biodiversity and remain a critical stronghold for many threatened and endangered species, including large charismatic fauna such as tiger and Asian elephant. We also conducted a rapid assessment survey of the herpetofauna of the proposed national park, which resulted in the discovery of two new species of bent-toed geckos, genus Cyrtodactylus. We describe these new species, C. lenya sp. nov. and C. payarhtanensis sp. nov., which were found in association with karst (i.e., limestone) rock formations within mature lowland wet evergreen forest. The two species were discovered less than 35 km apart and are each known from only a single locality. Because of the isolated nature of the karst formations in the proposed Lenya National Park, these geckos likely have geographical ranges restricted to the proposed protected area and are threatened by approaching deforestation. Although lowland evergreen rainforest has vanished from most of continental Southeast Asia, Myanmar can still take decisive action to preserve one of the most biodiverse places on Earth.

Political transition and emergent forest-conservation issues in Myanmar

Political and economic transitions have had substantial impacts on forest conservation. Where transitions are underway or anticipated, historical precedent and methods for systematically assessing future trends should be used to anticipate likely threats to forest conservation and design appropriate and prescient policy measures to counteract them. Myanmar is transitioning from an authoritarian, centralized state with a highly regulated economy to a more decentralized and economically liberal democracy and is working to end a long-running civil war. With these transitions in mind, we used a horizon-scanning approach to assess the 40 emerging issues most affecting Myanmars forests, including internal conflict, land-tenure insecurity, large-scale agricultural development, demise of state timber enterprises, shortfalls in government revenue and capacity, and opening of new deforestation frontiers with new roads, mines, and hydroelectric dams. Averting these threats will require, for example, overhauling governance models, building capacity, improving infrastructure- and energy-project planning, and reforming land-tenure and environmental-protection laws. Although challenges to conservation in Myanmar are daunting, the political transition offers an opportunity for conservationists and researchers to help shape a future that enhances Myanmars social, economic, and environmental potential while learning and applying lessons from other countries. Our approach and results are relevant to other countries undergoing similar transitions.

Losing a jewel-Rapid declines in Myanmar's intact forests from 2002-2014

New and rapid political and economic changes in Myanmar are increasing the pressures on the country’s forests. Yet, little is known about the past and current condition of these forests and how fast they are declining. We mapped forest cover in Myanmar through a consortium of international organizations and environmental non-governmental groups, using freely-available public domain data and open source software tools. We used Landsat satellite imagery to assess the condition and spatial distribution of Myanmar’s intact and degraded forests with special focus on changes in intact forest between 2002 and 2014. We found that forests cover 42,365,729 ha or 63% of Myanmar, making it one of the most forested countries in the region. However, severe logging, expanding plantations, and degradation pose increasing threats. Only 38% of the country’s forests can be considered intact with canopy cover >80%. Between 2002 and 2014, intact forests declined at a rate of 0.94% annually, totaling more than 2 million ha forest loss. Losses can be extremely high locally and we identified 9 townships as forest conversion hotspots. We also delineated 13 large (>100,000 ha) and contiguous intact forest landscapes, which are dispersed across Myanmar. The Northern Forest Complex supports four of these landscapes, totaling over 6.1 million ha of intact forest, followed by the Southern Forest Complex with three landscapes, comprising 1.5 million ha. These remaining contiguous forest landscape should have high priority for protection. Our project demonstrates how open source data and software can be used to develop and share critical information on forests when such data are not readily available elsewhere. We provide all data, code, and outputs freely via the internet at (for scripts: https://bitbucket.org/rsbiodiv/; for the data: http://geonode.themimu.info/layers/geonode%3Amyan_lvl2_smoothed_dec2015_resamp)

Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes

Robust quantitative estimates of land use and land cover change are necessary to develop policy solutions and interventions aimed towards sustainable land management. Here, we evaluated the combination of Landsat and L-band Synthetic Aperture Radar (SAR) data to estimate land use/cover change in the dynamic tropical landscape of Tanintharyi, southern Myanmar. We classified Landsat and L-band SAR data, specifically Japan Earth Resources Satellite (JERS-1) and Advanced Land Observing Satellite-2 Phased Array L-band Synthetic Aperture Radar-2 (ALOS-2/PALSAR-2), using Random Forests classifier to map and quantify land use/cover change transitions between 1995 and 2015 in the Tanintharyi Region. We compared the classification accuracies of single versus combined sensor data, and assessed contributions of optical and radar layers to classification accuracy. Combined Landsat and L-band SAR data produced the best overall classification accuracies (92.96% to 93.83%), outperforming individual sensor data (91.20% to 91.93% for Landsat-only; 56.01% to 71.43% for SAR-only). Radar layers, particularly SAR-derived textures, were influential predictors for land cover classification, together with optical layers. Landscape change was extensive (16,490 km2; 39% of total area), as well as total forest conversion into agricultural plantations (3214 km2). Gross forest loss (5133 km2) in 1995 was largely from conversion to shrubs/orchards and tree (oil palm, rubber) plantations, and gross gains in oil palm (5471 km2) and rubber (4025 km2) plantations by 2015 were mainly from conversion of shrubs/orchards and forests. Analysis of combined Landsat and L-band SAR data provides an improved understanding of the associated drivers of agricultural plantation expansion and the dynamics of land use/cover change in tropical forest landscapes.

Surveys in southern Myanmar indicate global importance for tigers and biodiversity

Myanmar’s Tanintharyi Region is part of the Indo-Burmese biodiversity hotspot, at the Indochinese–Sundaic faunal transition. This region contains the largest remaining areas of biologically rich Sundaic lowland forest in mainland South-east Asia. Over one third of Tanintharyi Region’s remaining lowland evergreen forest falls within the boundaries of the Lenya Proposed National Park and extension, first nominated for National Park status in . These forests are home to the world’s largest population of the Endangered Gurney’s pitta Pitta gurneyi, now endemic to Tanintharyi, and support one of the three most significant tiger Panthera tigris populations inMyanmar. In spite of the known biodiversity value of the area, decades of armed conflict previously restricted access for scientific study and biological monitoring. Tanintharyi remains predominantly forested, although large areas have been selectively logged since at least the s, and there has been widespread land-use change in recent years. Since the s the introduction and subsequent rapid expansion of oil palm plantations has been the single biggest threat to these forests. Over , ha of land was allocated to the crop by , just over one third of which is reportedly planted, although this is almost certainly an underestimate. In addition, new road development and forest clearing for other agricultural products, particularly rubber and areca (betel) nut, have caused additional habitat loss and fragmentation for forest-dependent species. The need to balance ongoing development with traditional livelihoods and biodiversity conservation requires reliable baseline information on the distribution of priority species. In response, and with the support and permission of the Myanmar Forest Department, Fauna & Flora International (FFI) and partners have so far conducted five camera trap surveys targeting large mammals within lowland areas of the Lenya forests. These surveys were conducted during May –May , spanning  camera trap locations and , trap-nights. We primarily used grid-based survey designs to guide overall camera spacing, but typically deployed cameras near ridge lines, footpaths, animal trails, streams or salt-licks that were likely to be used by wildlife. Results confirmed a total of  mammal species, including many that are globally threatened. The Critically Endangered Sunda pangolin Manis javanica was detected at two camera trap stations. We also recorded the Endangered tiger, dhole Cuon alpinus, Asian elephant Elephas maximus, Malayan tapir Tapirus indicus and banteng Bos javanicus. A number of bird species were also identified from cameratrap data, including several Sundaic lowland forest species such as the Endangered Gurney’s pitta and Storm’s stork Ciconia stormi. A primary objective of this research is to assess the conservation status of tigers in southern Myanmar. We successfully confirmed the continued presence of tigers in the southern Tanintharyi Region and individually identified a minimum of five individuals in the Lenya Proposed National Park, based on their stripe pattern. For the  trap stations at which tigers were detected, the mean number of days until the first observation was  ± SD .. The maximum time to first detection was  days. Hunting was also observed to be widespread within lowland areas of the Lenya Proposed National Park. Hunters were detected at a total of .% of camera trap stations, including  of  locations where tigers were observed. The results of these surveys indicate that the Lenya forests still retain a unique assemblage of globally threatened wildlife, including at least a small but possibly globally significant population of tigers. Surveys are ongoing but deforestation is widespread and accelerating in the surrounding landscape. High hunting pressure, logging, forest clearing and mining activity are commonly observed within the proposed protected area boundaries during surveys and pose a considerable risk to sensitive wildlife populations.We and our partners are slowly addressing these threats. Following a review of oil palm by FFI, for example, the new government of democracy icon Daw Aung San Suu Kyi has revoked some oil palm licences as a result of legal infractions, and has declared that it intends to review the remainder. With financial support from the KfW-funded Integrated Tiger Habitat Conservation Project, FFI is currently helping establish education, law enforcement and sustainable buffer zone management to support these efforts, while building multi-stakeholder support for conservation in this globally irreplaceable paradise of biodiversity.

First record of the Malaysian Bridle Snake, Dryocalamus subannulatus (Duméril, Bibron & Duméril, 1854), in Myanmar (Reptilia, Serpentes, Colubridae)

Dryocalamus subannulatus is reported for the first time from Myanmar. A single individual was found on the Thayawthadangyi Island Group in the Myeik Archipelago, Tanintharyi Region. Morphological features and a maximum likelihood analysis of the 16S mitochondrial gene confirm its identity. This specimen represents the first record of D. subannulatus north of the Isthmus of Kra.

Resource selection by an ectothermic predator in a dynamic thermal landscape

Abstract Predicting the effects of global climate change on species interactions has remained difficult because there is a spatiotemporal mismatch between regional climate models and microclimates experienced by organisms. We evaluated resource selection in a predominant ectothermic predator using a modeling approach that permitted us to assess the importance of habitat structure and local real‐time air temperatures within the same modeling framework. We radio‐tracked 53 western ratsnakes (Pantherophis obsoletus) from 2010 to 2013 in central Missouri, USA, at study sites where this species has previously been linked to prey population demographics. We used Bayesian discrete choice models within an information theoretic framework to evaluate the seasonal effects of fine‐scale vegetation structure and thermal conditions on ratsnake resource selection. Ratsnake resource selection was influenced most by canopy cover, canopy cover heterogeneity, understory cover, and air temperature heterogeneity. Ratsnakes generally preferred habitats with greater canopy heterogeneity early in the active season, and greater temperature heterogeneity later in the season. This seasonal shift potentially reflects differences in resource requirements and thermoregulation behavior. Predicted patterns of space use indicate that ratsnakes preferentially selected open habitats in spring and early summer and forest–field edges throughout the active season. Our results show that downscaled temperature models can be used to enhance our understanding of animal resource selection at scales that can be addressed by managers. We suggest that conservation of snakes or their prey in a changing climate will require consideration of fine‐scale interactions between local air temperatures and habitat structure.

Trap characteristics and species morphology explain size-biased sampling of two salamander species

Demographic studies often depend on sampling techniques providing representative samples from populations. However, the sequence of events leading up to a successful capture or detection is susceptible to biases introduced through individual-level behaviour or physiology. Passive sampling techniques may be especially prone to sampling bias caused by size-related phenomena (e.g., physical limitations on trap entrance). We tested for size-biased sampling among five types of passive traps using a 9-year data set for two species of aquatic salamanders that have a 20 and 61 fold change in length over their ontogeny (Amphiuma means, Siren lacertina). Size-biased trapping was evident for both species, with body size distributions (body length mean and SD) of captured individuals differing among sampling techniques. Because our two species differed in girth at similar lengths, we were able to show that size biases (in length) were most likely caused by girth limitations on trap entry rates, and potentially by differences in retention rates. Accounting for the biases of sampling techniques may be critical when assessing current population status and demographic change.