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Indonesia Hosts National Workshop on Improving Forest Carbon Stocks

As a follow-up to the forest monitoring training in Viet Nam last June, experts recently gathered in Indonesia to look at ways of using allometric equations in REDD+ in Indonesia.


The Ministry of Forestry in Indonesia, the UN-REDD Programme and FAO jointly organized a workshop on tree allometric equations in July in Bogor, Indonesia. The workshop featured a number of expert speakers, including the Senior Adviser to the Minister of Forestry on Environment and Climate Change, Dr. Yetti Rusli, and Dr. Matieu Henry from FAO headquarters. More than 35 participants from the Ministry of Forestry, research centers, unversities and NGOs across the country attended the workshop.

The objectives of the workshop were: to share information and experiences in developing tree allometric equation; to identify gaps in the coverage of Indonesia’s forests by the existing allometric equations; and to develop plan of action to fill gaps for assessing forest carbon stocks. Carbon stock assessment can be improved by having appropriate tree allometric equation. In his presentation, Dr. Henry explained that the selection of model played an important role in achieving accurate estimate of tree carbon stocks and changes. Inappropriate model may introduce up to 40 per cent uncertainty in certain context. The effect could be even greater if the models are applied beyond the ranges for which they were developed. This indicates that more specific models for certain types of forest or region are required to achieve accurate results of forest carbon stock estimates.

Currently, carbon stock assessments in Indonesia use generalized allometric equations and researches focus only on certain areas such as Sumatra, Java and Kalimantan. It appears that some regions notably eastern Indonesia, including forest-rich islands Papua and Sulawesi, are not yet well represented in the existing allometric equation researches. Directly measuring biomass is accurate but the research involving destructive sampling is time-consuming and costly. Therefore there is an urgent need to develop a single and comprehensive database that covers already developed volume and biomass allometric equations for further and improved research on allometric equations.

The participants of the workshop agreed to support the planned work on mapping and inventory of existing allometric equations. Current estimate of forest carbon and emission still uses general allometric equations. 

The purpose of future work on allometric equation is to make available country-specific modelsfor certain regions/ecological zones/forest types in Indonesia. The participants appreciated that Indonesia had already developed a national standard on the development of allometric equations; nevertheless it still needed to be improved. It was discussed during the workshop that since peat forest contributed to the country’s GHG emission figure significantly, focus should be given to increase the accuracy of biomass allometric equations used to estimate carbon stock and emissions from this type of forest.





In this issue


New Civil Society, Indigenous Peoples Observers Selected for UN-REDD Policy Board

Zambia Strengthens its Monitoring and MRV Systems with New Assessment

Viet Nam Shares REDD+ Lessons with Myanmar and Cambodia

DRC Advances Work on REDD+ Safeguards and Multiple Benefits

UN-REDD Workshop Round-Up

Features & Commentary

Nigeria Engages Further in Forest Conservation and Green Development
By: Josep A. Garí 

Indigenous Peoples in Asia-Pacific Call for a Strengthened Role in REDD+
By: The Asia Indigenous Peoples Pact

Designing Meaningful Participation for REDD+ in Ecuador
By: Danae Issa 

Reports & Analysis

Viet Nam Releases New REDD+ Reports on Phase 1 and Awareness Raising

Two New Go-REDD+ Issues from UN-REDD in Asia-Pacific

Looking ahead

World Forest Week
24-28 September, 2012: Rome, Italy

Regional Forum on Anti- Corruption and REDD+
1-3 October, 2012: Lima, Peru

REDD+ Day at CBD COP11
16 October, 2012: Hyderabad, India

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