Carbon Balance and Management
|
Viewing options:Associated material:Related literature:- Articles citing this article
- Other articles by authors
- Related articles/pages
Tools:Post to:
|
ResearchReduced emissions from deforestation and forest degradation (REDD): a climate change mitigation strategy on a critical trackMichael Köhl1* , Thomas Baldauf2* , Daniel Plugge2* and Joachim Krug2  1
Institute for World Forestry, University of Hamburg, Leuschnerstr. 91, 21031 Hamburg, Germany 2
Institute for World Forestry, von Thünen-Institute, Leuschnerstr. 91, 21031 Hamburg, Germany author email corresponding author email* Contributed equally
Carbon Balance and Management 2009,
4:10doi:10.1186/1750-0680-4-10
|
| Published: |
13 November 2009 |
Abstract
Background
Following recent discussions, there is hope that a mechanism for reduction of emissions from deforestation and forest degradation (REDD) will be agreed by the Parties of the UNFCCC at their 15th meeting in Copenhagen in 2009 as an eligible action to prevent climate changes and global warming in post-2012 commitment periods. Countries introducing a REDD-regime in order to generate benefits need to implement sound monitoring and reporting systems and specify the associated uncertainties. The principle of conservativeness addresses the problem of estimation errors and requests the reporting of reliable minimum estimates (RME). Here the potential to generate benefits from applying a REDD-regime is proposed with reference to sampling and non-sampling errors that influence the reliability of estimated activity data and emission factors.
Results
A framework for calculating carbon benefits by including assessment errors is developed. Theoretical, sample based considerations as well as a simulation study for five selected countries with low to high deforestation and degradation rates show that even small assessment errors (5% and less) may outweigh successful efforts to reduce deforestation and degradation.
Conclusion
The generation of benefits from REDD is possible only in situations where assessment errors are carefully controlled. |