Applying the global disturbance index for detecting vegetation changes in Lao tropical forests

Land cover change is a major challenge for many developing countries. Spatiotemporal information on this change is essential for monitoring global terrestrial ecosystem carbon, climate and biosphere exchange, and land use management. A combination of LST and the EVI indices in the global disturbance index (DI) has been proven to be useful for detecting and monitoring of changes in land covers at continental scales. However, this model has not been adequately applied or assessed in tropical regions. We aimed to demonstrate and evaluate the DI algorithm used to detect spatial change in land covers in Lao tropical forests. We used the land surface temperature and enhanced vegetation index of the Moderate Resolution Imaging Spectroradiometer time-se- ries products from 2006-2012. We used two dates Google Earth™ images in 2006 and 2012 as ground truth data for accuracy assessment of the model. This research demonstrated that the DI was capable of detecting vegetation changes during seven-year periods with high overall accuracy; however, it showed low accuracy in detecting vegetation decrease.Chittana Phompila, Megan Lewis, Kenneth Clarke, Bertram Ostendor

Forest cover changes in lao tropical forests: physical and socio-economic factors are the most important drivers

Lao People’s Democratic Republic (PDR) has been experiencing significant forest depletion since the 1980s, but there is little evidence to demonstrate the major causes and underlying drivers for the forest cover changes. In this study, we investigated the relationship between forest cover decrease and increase in the south of Lao PDR between 2006 and 2012 and selected physical and socio-economic factors. We used a map of forest cover changes derived from analysis of Landsat ETM+ imagery in 2006 and 2012, together with socio-economic and physical environmental data from the national authorities. The study area has experienced noticeable forest cover changes: both forest decreases and increases were unevenly distributed throughout the region. Logistic regression models were used to test relationships between forest cover decrease or increase and selected physical and socio-economic factors. Forest clearance was associated strongly with elevation, distance to main roads and shifting cultivation practices. Meanwhile, forest cover increase was more likely to correlate with rubber plantations. Native forest and shifting cultivation lands were vulnerable to being converted into rubber plantations. This research provides much-needed information on which to base forestry policy and decision making to minimize and prevent current deforestation, as well as manage potential risks in the future.Chittana Phompila, Megan Lewis, Bertram Ostendorf and Kenneth Clark

Assessment of Potential Ecotourism Site in Xaisomboun, Central Laos

Appropriate ecotourism planning is crucial for sustainable ecotourism development in developing countries including Laos. The primary objective of this research was to identify the potential sites for ecotourism in order to assist in planning and decision making to ensure the sustainable natural forest resource management. GIS data analysis was undertaken to assess the potential sites for ecotourism. We used seven factors describing biophysical characteristics; forest cover, water, elevation, slope, proximity to village, road accessibility and historical attractive sites. It was found that there is around 1200 ha of the entire area of Xaisomboun province which is the most suitable for inland recreational activities, about 1980 ha for beautiful ecological sceneries, roughly 1143 ha for historical tourism activity sites, and finally 1031 ha of a total area that most suitable for multipurpose ecotourism activities. These most suitable areas are located mostly in the protected areas, dense forests and high value of natural resources. These are also major attractions for historical and country revolutions. There is a need to incorporate appropriate infrastructures and local engagement and services. The result is useful for ecotourism development and great benefit in terms of sustainable social-economic development, conservation of biodiversity and other ecosystem services