Recovery of forest structure dynamics following selective logging in lowland dipterocarp Peninsular Malaysia

Abstract The selective management system (SMS) practised in Malaysia has emerged to optimise the sustainability of permanently reserved forest management. SMS requires a regime (felling) ensure economical harvesting and appropriate residual stands for logging cycle, including ecological balance environmental quality. includes Post-Felling Forest Inventory (Post-F) sequence. Post-F is used obtain information on remaining other plants determine silvicultural treatment logged area. However, data gathered from are insufficient track collect structure dynamics recovery after logging. Thus, this study further understand applicability remote sensing technologies assessment lowland dipterocarp Peninsular Malaysia. Understanding structural composition changes occurring forests vital forecasting these ecosystems future. This uses temporal (5, 9, 16, 26 32 months) canopy cover images obtained Landsat 8 Using Carnegie Analysis System (CLASlite), applies Automated Monte Carlo Unmixing (AutoMCU) algorithm derive per-pixel fractional estimates photosynthetic vegetation (PV), non-photosynthetic (NPV) bare soil. relationship between three indicators shown dynamic growth pattern area Differences can be seen via PV, NPV soil image over various time periods. derived conservation strategies logging, thus enhancing Sustainable Management