Malaysian Forest Performance Index (MyFPI)
Forest Ecosystem Integrity & Sustainability
A pioneer assessment system funded by the Government of Malaysia to evaluate forest conservation efforts across inland, peat swamp, and mangrove forests.
A pioneer assessment system funded by the Government of Malaysia to evaluate forest conservation efforts across inland, peat swamp, and mangrove forests.
The MyFPI portal is an output of the "Development of the Forest Ecosystem Integrity Index (IIE) in Malaysia" study by FRIM, funded under the 12th Malaysia Plan.
Malaysia ranks 12th among 17 mega-biodiversity countries. However, development has impacted ecosystems. MyFPI provides a specific assessment system to evaluate conservation results efficiently.
Peninsular Malaysia covers approx 5.6 million hectares of forests. MyFPI focuses on three primary types.
Includes all dryland forests (Lowland to Montane). Dominated by Dipterocarpaceae family trees.
Unique wetland ecosystem on peatlands behind swampy forests. Combination of peat and rainforest.
Coastal/estuarine areas influenced by tides. Home to Rhizophora, Bruguiera, and Avicennia.
Classification uses multispectral satellite data from Landsat-8, Landsat-9, and Sentinel-2 via Google Earth Engine (GEE).
Weighting assigned based on six (6) key components.
Spatial • Flora • Fauna • Hydrology • Soil • Economy
The number of indicators used to develop each index varies according to the suitability of the forest ecosystem. Eleven (11) indicators were used for inland forests, while peat swamp and mangrove forests each used nine (9) indicators. The selected indicators are shown in table below
| Category | Code / Indicator | Inland | Peat | Mangrove |
|---|---|---|---|---|
| Spatial | S01 % of gazetted area | |||
| S02 % of forested area within gazetted | ||||
| S03 Change in gazetted area | ||||
| Ecology & Hydrology | C01 Basal area | |||
| C03 Biomass/Carbon | ||||
| C05 Water Quality Index (WQI) | ||||
| C09 Important Bird Area (IBA) | ||||
| Economy | E01 Economic Index |
MyFPI was developed through the combination of selected indicators, which was assigned by different weightings. Each indicator has its own weighting value, reflecting its importance in representing actual forest quality. More important indicators are assigned higher weights, while less important ones are assigned lower weights. This ensures that the overall index can accurately represent real conditions in the field.