This new small project proposal, originating from the Kasetsart University Faculty of Forestry (KUFF), aims to develop and pilot-test methodology to construct new equations to estimate carbon stocks in Thailand’s natural forests and tree resources outside forest (TROF). The existing tree carbon equations are inaccurate, the national reporting of carbon stocks is incomplete especially in TROF areas, and there is limited knowledge of the methods and benefits of carbon stock assessment among the potential stakeholders. This project shall contribute to well-informed policy decision-making and balanced public debate on climate change mitigation through carbon sequestration by trees.
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Through this Phase I project, Thailand is seeking incremental financial assistance and limited technical support from ITTO to develop and pilot-test methods to construct new tree carbon equations. This project strategy is to construct tree carbon estimation equations for selected major tree species groups in a pilot project area (Ngao Demonstration Forest, Lampang province), and to promote carbon stock assessment methods and benefits through a national workshop. The Phase I project outputs are 1) methodology for constructing new tree carbon equations, and 2) an action plan to develop and promote new national equations for the major tree species groups in Thailand. The project main target beneficiaries are the agencies who report carbon stocks, including the Department of National Parks, Wildlife and Plant Conservation (protected forests), the Royal Forest Department (community forests and other reserve forests), the Forest Industry Organization of Thailand (reserve natural forests in plantations for forest certification), Marine and Coastal Resources Department (mangrove and other coastal forests), and TROF private land owners. Other stakeholders include KUFF, Maejo University, Chiangmai University and Thailand Environment Institute (TEI), who are interested in the information for research and education. The KUFF shall implement this project as it is a neutral agency and has the necessary technical forest inventory expertise.