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Assessing data availability for the development of REDD-plus national reference levels.

Chisa Umemiya¹, Masahiro Amano, Suphawadee Wilamart

¹School of Human Sciences, Waseda University, Mikajima 2-579-15, Tokorozawa, Saitama, 359-1192, Japan. umemiya@toki.waseda.jp.

Carbon Balance and Management

|October 6, 2010

Summary

Developing countries face data limitations for setting national reference levels (RLs) for REDD-plus. This study compares historical, forest-trend, and business-as-usual RLs to guide RL selection based on data availability.

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Area of Science:

Environmental Science
Forestry
Climate Change Policy

Background:

Data availability in developing nations is highly variable, hindering the establishment of national reference levels (RLs) for REDD-plus.
Thailand serves as a case study to compare different RL methodologies under the UNFCCC framework.

Purpose of the Study:

To compare three types of reference levels (RLs): historical, projected forest-trend, and business-as-usual (BAU).
To assess the data requirements and characteristics of each RL type for REDD-plus implementation.

Main Methods:

Comparative analysis of three distinct RL methodologies.
Evaluation of data requirements for each RL type: historical, forest-trend, and BAU.

Main Results:

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Different RLs produce varying estimates of future deforestation areas.
Historical RLs require simple data but are sensitive to the chosen reference period.
Forest-trend RLs offer improved reliability with smooth deforestation curves.
BAU RLs are complex but essential for demonstrating REDD-plus additionality and distinguishing national efforts.

Conclusions:

Countries should select RLs based on their data availability, progressing from simpler to more complex methods.
Support is crucial for enhancing data collection systems in countries with limited capacity participating in REDD-plus.