UiTM Researchers to produce a standard training programme for sustainable forest landscape management within Central Forest Spine (CFS)

Improving Connectivity in the Central Forest Spine (CFS) Landscape is an UNDP supported, Global Environment Facility (GEF) funded initiative designed to address the growing fragmentation of Peninsular Malaysia’s CFS valued for its multitude of species. The baseline analysis is cognizant of the confluence of factors and threats undermining the CFS, including Malaysia’s economic transformation and established role as a source country for an illegal trade in forest and wildlife resources, which are contributing to increased forest fragmentation, increasingly threatened fragile habitats and pockets of declining biodiversity that are being insidiously cut off from their contiguous landscapes.

The Project feeds into the Malaysian Federal Government’s CFS Master Plan (CFSMP) to protect biodiversity and ecosystem services by securing landscape connectivity between Peninsular Malaysia’s main forest blocks. The Project is implemented in three forest landscapes in three states of Peninsular Malaysia which are Johor, Pahang and Perak.

This fully funded consultation project worth RM125,000.00 is aiming at producing a standard training programme for sustainable forest landscape management within CFS, mainstreamed into existing CFS implementing agencies at each landscape and institutionalized within forestry training institutes. Project’s objective is to enhance federal and state capacity building and commitment to execute the CFS Master Plan through the strengthening of institutional and operational structures and piloting of sustainable forest landscape management plans.

The vehicle by which increased capacity to be realized is through the development and implementation of a standard training programme for sustainable forest landscape management within CFS and to be mainstreamed into existing CFS implementing agencies at each of the landscapes, as opposed to one-off ad-hoc thematic training sessions.

Congratulations to the UiTM team!

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