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Myanmar Protected Areas: Context, Current Status ... - Istituto Oikos

Myanmar Protected Areas: Context, Current Status ... - Istituto Oikos

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Geography<br />

The Rakhine Yoma Elephant Range Wildlife Reserve (WR) is located in the southern portion of the<br />

Rakhine State, in the Thandwe District, inside the homonymous mountain range. The central area of<br />

the Yoma consists of a series of ridges running more or less from north to south, although the main<br />

drainage lines cut across them from east to west. The streams are in steep valleys with many waterfalls.<br />

The geology is dominated by Cretaceous Flysch-type sediments and limestones. The main lithologies<br />

found are sandstone, shales and limestone, where the soils are principally of the red brown forest type.<br />

The steep slopes and the friable soils result in frequent landslides. The area experiences a monsoonal<br />

climate typical of that found throughout Southern <strong>Myanmar</strong>. Rainfall occurs only between May and<br />

September, with an annual rainfall on the coast of more than 4000 mm (source: World Meteorological<br />

Organization and FAOCLIM database), decreasing towards the mainland to the east. The humidity is<br />

highly intercepted by the mountains, and in the valley of the Ayeyawaddy annual rainfall drops to<br />

around 1000 mm. Temperatures are usually between 20° C in January and less than 30° C during April/<br />

May. The leafless season for the deciduous species starts in December and ends at the beginning of the<br />

rainy season in May. The protected area was established in 2002 and is more than 1,700 Km². large. The<br />

main key protected resources are wildlife species, among the most important is a population of wild<br />

Asian Elephant (Elephas maximus): according to the Park staff, currently there are around 150 living in the<br />

area. The topography of the protected<br />

area is mountainous, ranging from<br />

80 meters asl. in the valleys of the<br />

southern region, to more than 1,200<br />

meters asl in the northern heights.<br />

Several streams and rivers dissect the<br />

area and are all part of the western<br />

catchment (e.g. Kyeintali river), flowing<br />

westwards to the sea which is located<br />

only around 15 km from the border<br />

of the PA. Moving towards the east<br />

side, outside the protected area, the<br />

elevation decreases as well, eventually<br />

reaching the large alluvial valley of the<br />

Ayeyawaddy river.The main vegetation<br />

types occurring inside the mountain<br />

range and in the protected area are<br />

the evergreen forest and the bamboo<br />

brakes. Going towards the sea there<br />

are many deciduous species mixing<br />

with the evergreen, and occasional<br />

mangrove forests or agricultural areas<br />

on the coast and in the narrow valleys.<br />

The pattern of vegetation types is<br />

determined by rainfall, altitude and<br />

exposure, therefore an interesting<br />

natural mosaic of different habitats was<br />

observed also in previous surveys (FAO<br />

1983a). On the east side dry deciduous<br />

species became quickly dominant,<br />

and eventually the agricultural areas<br />

prevail close the Ayeyawaddy River:<br />

the pattern of the vegetation seems to<br />

Location of Rakhine Yoma Elephant Range WR<br />

be more homogenous.<br />

In-depth Study of Rakhine Yoma Elephant Range Wildlife Reserve<br />

4.1 Data and methods<br />

The study was conducted following subsequent steps. In this context, a simple overview of the<br />

methodology used is given; for more information it is possible to contact the authors.<br />

Step 1. Data harmonisation and collection<br />

The first step was to carry out consultation meetings with Forestry experts from BANCA and<br />

Environmental experts from RCCA to review the baseline knowledge about the vegetation of the study<br />

area. At the same time, a GIS database was set up using, as a basis, topographic maps, Landsat satellite<br />

images and Digital Elevation Models, alongside many shapefiles coming from the <strong>Myanmar</strong> Information<br />

Management Unit (MIMU), the mapping facility of United Nations operating in Yangon. Combining all<br />

the information, a preliminary land cover classification of years 2000-2003 was carried out. The most<br />

evident land cover classes were drawn in a map, such as mangrove forests, bamboo brakes, evergreen<br />

forests, mixed deciduous forest and agricultural areas. With the same approach, a satellite image dating<br />

from 1974 was analyzed using as a primary source of information the knowledge of the past situation of<br />

the RCCA expert, eventually producing another draft vegetation map.<br />

Vegetation maps from international organizations, such as the JRC GLC2000 Project, UNEP 2001 Land Use/<br />

Land Cover, and ESA Ionia GlobCover, have been retrieved and their accuracy analysed. Unfortunately<br />

their spatial accuracy is very low compared to the needs of the present ²project, and some errors were<br />

found in such maps mainly due to the lack of a ground survey. For example, the UNEP 2001 land cover<br />

map erroneously classified some areas as covered by coniferous forest that are in fact absent in the study<br />

area. Therefore it has been chosen not to use them. Data used in this study are summarised in Table 1.<br />

Table 16 GIS data used<br />

LIST OF GIS DATA USED:<br />

Digital Elevation Models:<br />

Aster GDEM (a product of METI and NASA), 30 m of resolution<br />

Landsat Satellite Images (USGS – NASA):<br />

1) Landsat 7 ETM+, p133r048, Date: 03.03.2000<br />

2) Landsat 7 ETM+, p133r047, Date: 24.02.2000<br />

3) Landsat 7 ETM+, p134r047, Date: 03.03.2003<br />

4) Landsat 1 TM, p143r048, Date: 11.02.1974<br />

Topographic Maps:<br />

Indian Grid IVB, Sheets 85J-85K-85L, Half-Inch to One Mile<br />

Climate:<br />

FAOCLIM database<br />

Shapefiles:<br />

Administrative boundaries, Road network, Hydrology<br />

(all from <strong>Myanmar</strong> Information Management Unit)<br />

Step 2. Ground truth campaign<br />

Subsequently, a field trip of five days (from 22nd to 26th March 2010) was organized to collect ground<br />

truth data, in order to refine the preliminary classification and define a complete legend of the vegetation<br />

types occurring in the area. The map below indicates the route followed by the field team, comprising: a<br />

remote Sensing researcher from the University of Milano - Bicocca, a GIS expert from the <strong>Istituto</strong> <strong>Oikos</strong>,<br />

a forestry expert from BANCA, an environmental expert from RCCA.<br />

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