Papua Indonesia

Summary

Forest Carbon
4,373 MtC
(using average carbon stock 174 tC/ha)
IPCC Measurement Methodology
Deforestation vs. Degradation
Sources:[1]

Reference Levels and Targets

Average Deforestation Rate
--
1996 - 2012
Deforestation Reduction Goal for State/Province and REDD Program
27 % Reduction[2]
for the State/Province and for REDD+ program by --
Tons of CO₂e Avoided Target
12 MtCO₂e[2]
by --
Needs Identified to Improve Baseline Definition

Baseline and emissions reduction targets are being addressed in the context of the national commitment and impact of the Indonesia-Norway LOI and moratorium.

Deforestation Dynamics Monitoring

Are current deforestation rates known?
Yes[3]
Deforestation Rate Target
--
Deforestation Rates

The period 2003-2006 has been accepted by all stakeholders as the official data period for measuring deforestation. This data is compiled by the Ministry of Forestry. The data for the period 2000 -2005 was accepted as official data for the analytical process leading up to COP 13 in Bali.  The historical rates of deforestation in the province of Aceh were very low because the lowlands had been cleared for agriculture prior to the official data period and the uplands had been protected by poor access and also by the activities of the separatist fighting. The degree of deforestation in the period 2000-2005 reflects the loss of forest following the tsunami in 2004. This figure is reflected in the 2003-2006 data. The rates of deforestation have been dramatically reduced but a residual timber industry remains as a result of the business generated in the post tsunami recovery. The current spatial plan, which was accepted by the national government in 2010, reflects the Governor’s commitment to stop logging and provides little opportunity for a legal timber industry to continue.

Monitoring methodologies and accuracy

The forest cover monitoring for 2000-2005 was complicated by the different sets of available data. Landsat provides better resolution data but is less complete than MODIS data. The relationship between MODIS and LANDSAT estimates is linear and statistically robust with an r2 of 0.87 and a residual standard error 7.15%. The deviation between the estimated and actual forest cover based on BAPLAN field sampling is about 15% and this value has been adopted as the order of error to apply to forest area loss.

The 2003-2006 Forest Cover monitoring is based on 1:250 000 scale interpretation of Landsat 7 ETM+ overlays for 2002/2003 and 2005/2006. Data from the Province is analysed by Provincial offices (BKLH) of the Ministry, compilation and reporting on a province level is the responsibility of the national government. Data concerning deforestation and degradation in the Districts (Kabupaten) are available from the BKLH and the data are also used for spatial planning at the Province and Kabupaten Levels of government.[4]

Content Currently Unavailable

Forest cover monitoring is the responsibility of the Ministry of Forestry, Directorate General for Forest Planning. The database FRIS (Forest Resource Inventory System) commenced in 2007 and is supported among other means by the Indonesia-Australia Forest Carbon Partnership (IAFCP). An MRV framework is also being developed in conjunction with National policy and is largely being driven by requirements under the Norway LOI. Discussions on the design and implementing framework for MRV where the roles and responsibilities of the National and Provincial Governments are a topic of discussion amongst GCF member Provinces and their liaison with the Central Government authorities. MRV case studies / information from the broader context of REDD monitoring internationally would be valuable in providing member Provinces tools and input into the national process.

Forest Degradation Dynamics Monitoring

Are current degradation rates known?
Yes[5]
Forest Degradation Rates

Logging and forest fires resulting in the degradation of primary forest to secondary forest.[6]

Content Currently Unavailable

Forest cover monitoring is the responsibility of the Ministry of Forestry, Directorate General for Forest Planning. The database FRIS (Forest Resource Inventory System) commenced in 2007 and is supported among other means by the Indonesia-Australia Forest Carbon Partnership (IAFCP). An MRV framework is also being developed in conjunction with National policy and is largely being driven by requirements under the Norway LOI. Discussions on the design and implementing framework for MRV where the roles and responsibilities of the National and Provincial Governments are a topic of discussion amongst GCF member Provinces and their liaison with the Central Government authorities. MRV case studies / information from the broader context of REDD monitoring internationally would be valuable in providing member Provinces tools and input into the national process.

Forest Carbon Stocks Quantification

Are forest carbon stocks known?
Partially
Forest Classes
-- Forest Types Represented by
-- Plots
Above Ground Carbon Stock
173.7 ± -- tC/ha
Below Ground Carbon Stock
-- tC/ha

REDD GAME: is a tool (in the form of a game) to quantify land conversion, whose results are represented in a matrix of land changes (Activity data) during a certain period (2000-2010)

Calculating emission factor is to find out the C-Stock in a land cover type (Primary Forest – Scrubland)

Calculating C-Stock dynamics = activity data plus Emission Factor

Total emission is the total of C-Stock dynamics (in tons)

Annual emission rate = total emission / number of observation years (tons/year)

Average annual emission = annual emission rate / area size (tons/ha/year)

Unbalanced emission of carbon into the air will accumulate in the atmosphere; such accumulation is called increase in carbon emission in the air, blocking the sunlight entering the earth.

(http://bpkhpapua.net/index.php/Latest/Lokakarya-Penguatan-Kapasitas-dan-Perencanaan-Strategi-Pengurangan-Emisi.html)

The biomass carbon stock of forests range between 50 and 300 tC/ha for dryland forest and between 75 and 275 tC/ha for peat swamp forest.  The lowest estimates are in the forests of Java, while the highest occur in Kalimantan and Papua.  The resolution of the carbon maps is coarse as the data used to create it were based on regional and national datasets (e.g. climate, inventory data for calibration, and population density data at sub-national scales). This type of country-wide map provides estimates with uncertainty too high for robust analysis for the purposes of REDD, and this problem underlies the importance of an extended National Forest Inventory (NFI).

The degradation rate of Papuan forests in the last 5 years

The current conditions of Indonesia’s forests:

Protected Forest: 33.52 million hectares (28%)

Conservation Forest: 20.50 million hectares (17%)

Production Forest: 58.26 million hectares (48%)

Conversion Forest: 8.07 million hectares (7%)

The deforestation rate during 1985 –2000 stood at 1.6 –2.8 million hectares/year

Forest area that needed rehabilitation stood at 47.1 million hectares, comprising:

Protected Forest: 10.4 million hectares

Conservation Forest: 4.6 million hectares

Production Forest: 32.1 million hectares

(Source: Indicated Forest and Land for Rehabilitation, BAPLAN 2003, in Mallolongan, 2005 )

Support for implementation of IPCC Tier 2 carbon stock analysis.

Capacity development within Government departments and Universities to design and implement IPCC measurement methodology, accuracy and ongoing quantification.

Sources

Summary
1. SRAP REDD+ Papua 2013, Tabel 6.4, h.VI-7 dan Tabel 2.6, h.II-11 (Kondisi dan Umum dan Permasalahan Kehutanan di Provinsi Papua).
Reference Levels and Targets
2. SRAP Papua 2013.
Deforestation Dynamics Monitoring
3. 2006-2011 : SRAP REDD+ Papua 2013, Tabel 6.4, h.VI-7 dan Tabel 2.6, h.II-11 (Kondisi dan Umum dan Permasalahan Kehutanan di Provinsi Papua).
4. SRAP REDD+ Papua 2014.
Forest Degradation Dynamics Monitoring
5. 2006-2011 : SRAP REDD+ Papua 2013, Tabel 6.4, h.VI-7 dan Tabel 2.6, h.II-11 (Kondisi dan Umum dan Permasalahan Kehutanan di Provinsi Papua).
6. SRAP REDD+ Papua 2013, h. II-20 (Kondisi dan Umum dan Permasalahan Kehutanan di Provinsi Papua).