Spatial and temporal deforestation dynamics in protected and unprotected dry forests: a case study from Myanmar (Burma)
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Abstract
Tropical dry forests are more threatened, less protected and especially susceptible to deforestation. However, most deforestation research focuses on tropical rain forests. We analyzed spatial and temporal changes in land cover from 1972 through 2005 at Chatthin Wildlife Sanctuary (CWS), a tropical dry forest in Myanmar (Burma). CWS is one of the largest protected patches of tropical dry forest in Southeast Asia and supports over half the remaining wild population of the endangered Eld’s deer. Between 1973 and 2005, 62% of forest was lost at an annual rate of 1.86% in the area, while forest loss inside CWS was only 16% (0.45% annually). Based on trends found during our study period, dry forests outside CWS would not persist beyond 2019, while forests inside CWS would persist for at least another 100 years. Analysis of temporal deforestation patterns indicates the highest rate of loss occurred between 1992 and 2001. Conversion to agriculture, shifting agriculture, and flooding from a hydro-electric development were the main deforestation drivers. Fragmentation was also severe, halving the area of suitable Eld’s deer habitat between 1973 and 2001, and increasing its isolation. CWS protection efforts were effective in reducing deforestation rates, although deforestation effects extended up to 2 km into the sanctuary. Establishing new protected areas for dry forests and finding ways to mitigate human impacts on existing forests are both needed to protect remaining dry forests and the species they support.
Keywords
Tropical dry forests Biodiversity Change detection Deforestation rates Fragmentation Protected areas Forest dynamics Land use change Remote sensing Landsat ASTERAbbreviations
- ASTER
Advanced Spaceborne Thermal Emission and Reflection Radiometer
- CWS
Chatthin Wildlife Sanctuary
- GIS
Geographic Information Systems
- GPS
Global Positioning System
- ISODATA
Iterative Self-Organizing Data Analysis Techniques
- Landsat ETM+
Landsat Enhanced Thematic Mapper
- Landsat MSS
Landsat Multispectral Scanner
- Landsat TM
Landsat Thematic Mapper
Notes
Acknowledgments
We thank the staff of Chatthin Wildlife Sanctuary for their assistance in collection of field data and Dan Kelly and Melanie Delion for assistance in data management in the laboratory. This project was primarily funded by a grant awarded by NASA to the Conservation Non-Governmental Working Group.
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