MSc by Andrea Hess on deforestation drivers in Myanmar handed in

MSc by Andrea Hess on deforestation drivers in Myanmar handed in

April 7, 2016

Andrea_hess_landcover_MyanmarThe MSc by Andrea Hess “Deforestation in Myanmar – what can we say about causes?” has been handed in. It has been supervised by Peter Leimgruber (Smithsonian Conservation Biology Institute) and Martin Wegmann. Deforestation in the tropics is a global issue. Tropical forests are important not only for local livelihoods, but also for global climate regulation and biodiversity. Causes of forest loss have been extensively assessed on larger scales, but information on national and sub-
national level is often limited. In Myanmar, spatially explicit information on drivers of deforestation is almost non-existent. In this study I analyzed deforestation and factors affecting it in Myanmar, with focus on deforestation hotspots. I calculated change statistics from a Myanmar wide satellite imagery based forest cover change classification for deforestation on country level, the three states/regions Kachin, Sagaing and Tanintharyi and Homalin township. Using GAM, GLM and Random Forest models, I assessed the importance of eight factors in driving deforestation in Homalin township, namely elevation, slope, and distance to roads, waterways, populated places, protected areas, and reserved forests. To delineate areas under future deforestation risk, I also performed spatially explicit deforestation predictions. The results show a regionally distinct influence of mining in Kachin and Sagaing and plantation expansion in Tanintharyi on deforestation. In Homalin township, deforestation was strongly influenced by elevation, slope, distance to streams and populated places. The risk for  deforestation was predicted highest in low areas in proximity to waterways and towns and villages.

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Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.