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Library Myanmar Ecological Forecasting: Utilizing NASA Earth Observations to Monitor, Map, and Analyze Mangrove Forests in Myanmar for Enhanced

Myanmar Ecological Forecasting: Utilizing NASA Earth Observations to Monitor, Map, and Analyze Mangrove Forests in Myanmar for Enhanced

Myanmar Ecological Forecasting: Utilizing NASA Earth Observations to Monitor, Map, and Analyze Mangrove Forests in Myanmar for Enhanced

Resource information

Date of publication
апреля 2014
Resource Language
ISBN / Resource ID
OBL:72059

... Mangrove forests are one of the most valuable, thriving, and diverse ecosystems on the planet, but they are becoming increasingly exploited and mismanaged (Lee 1999; Giri et al. 2008). In Myanmar, many of these mangrove stands flourished for centuries, virtually untouched until extensive deforestation began in the late 1970’s. At the time there was no legislation to promote sustainable forest management, and as a result the forests were depleted at alarming rates. During the 1990’s, multiple environmental acts were passed to help regulate tree harvesting processes, including the 1992 Forest Law and the 1995 Forest Policy, but they were only mildly successful and difficult to enforce (Oo 2002). The 2000’s brought a new chapter as Myanmar’s expanding economy and lifted political embargos created an explosion of infrastructure and agriculture, once again encroaching on the mangrove’s habitat. Even with the increasing development and encroachment on mangroves, Myanmar’s long state of isolation has made it one of the most species rich countries in all of South-east Asia, and is considered to be one of the last strongholds for large mammals such as tigers and elephants (Leimgruber etal. 2005). In a country with such rich biodiversity and a large dependence on natural resources for income, fuel, and food, preserving Myanmar’s mangroves and raising awareness about sustainability has become a national priority.

This study mapped the spatial extent of three main mangrove regions along the coast of Myanmar during 2000 and 2013, including the Ayeyarwardy Delta, Rakhine and Tanintharyi regions (Oo 2002). The three regions are spread along the coast and vary in population density, which provides a valuable comparison among the regions as to how human and economic pressures can affect mangroves. The Ayeyarwady Delta is centrally located and has the highest population density, followed by Rakhine to the north, and the most remote region being the Tanintharyi to the south. A land change model was then used to produce change maps between 2000 and 2013 and project mangrove coverage to the year 2030 to help resource managers and policy makers craft future decisions. Once the mangroves were classified and projected, SRTM data were used to derive tree canopy heights and biomass estimations using allometric equations.

Mangroves in Myanmar house thriving biodiversity and provide citizens with essential natural products such as food, firewood, and construction materials (Oo 2002). This
ecological forecasting project helped the Myanmar government visualize and quantify their current largest mangrove areas, as well as shed light on the success of previous preservation efforts that may influence future conservation strategies. This project ultimately allowed important decision makers to assess the negative impacts that have occurred due to the deforestation and degradation of mangrove ecosystems. To successfully implement this study and its findings, Dr. Peter Leimgruber and Ellen Aiken
at the Smithsonian Conservation Biology Institute were irreplaceable as they officially handed off the project and its decision making tools to the Myanmar Ministry of
Environment, Conservation and Forestry. The project will serve as a valuable reference for efficiently allocating resources and man power, while adapting new management
strategies to the changing mangrove landscape...

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Authors and Publishers

Author(s), editor(s), contributor(s)

Samuel J. Weber
Louis Keddell
Mohammed Kemal

Geographical focus