Research on REDD+ MRV and carbon stocks/emissions measurement
University British of Columbia Students Visit
4 May 2015
Arief WijayaForest and Environment Research
Center for International Forestry Research
CIFOR Global Comparative Study on REDD+
GCS Module 3: REDD+ MRV and Carbon Emissions measurement
– Assessment of major deforestation drivers
– Research on carbon stocks and emissions
– Setting forest reference emission levels (FRELs/FRLs)
– Participatory MRV
– Six case study countries: Brazil, Peru, Indonesia, Vietnam, Zambia and Cameroon
Further information: www.cifor.org/gcs/
Capacity gaps of non-annexes I countries
Consideration of factors for capacity assessment:
1.Requirements for monitoring forest carbon on national level (IPCC GPG)
2.Existing national capacities for national forest monitoring
3.Progress in national GHG inventory and engagement in REDD
4.REDD particular characteristics: importance of forest fires, soil carbon, deforestation rate
5.Specific technical challenges (remote sensing)
Notes on FREL/FRL terminology
In UNFCCC COP decisions the term forest reference emission levels and/or forest reference levels (FREL/FRLs) is used.
The most common understanding is that a FREL includes only emissions from deforestation and degradation
FRL includes both emissions by sources and removals by sink, thus it includes also enhancement of forest carbon stocks.
FRLs/FRELs is carbon emissions projection which will be compared against actual emissions in the future
Impacts to REDD+ incentives
Emissions reductions that can claim for REDD+ financial incentives should be additional of those resulted from national climate change mitigation program (i.e. based on self financed/national efforts)– Differentiate between REL as business as usual (BAU) and crediting baseline
(or financial incentive benchmark)
Source: redd-net.org
Indicative national REL estimate to 2020 (Indonesia)
Source: Indonesian REDD+ Agency, MRV working group
Four Decades of Forests Persistence, clearance and logging in Borneo(1973-2010)
Source: Gaveau, et.al (2014)
76% of forest cover (1973) 46% of forest cover (2010)
http://gislab.cifor.cgiar.org/wm/borneo/
Extend period of observation
CIFOR Study(Subset of Borneo-wide Data 1973 – 2010)
Class labels Area (Mha)Intact Forest 2010 4.12Logged Forest 2010 4.04Deforestation from 1973 to 2010 3.86Non-Forest 1973 2.97Clouds 0.26Total 15.24
Courtesy: David Gaveau (CIFOR)
Detailed analysis at sub-national