West Kalimantan Indonesia

Summary

Forest Carbon
1,073 MtC
(using average carbon stock 171 tC/ha)
IPCC Measurement Methodology
Deforestation vs. Degradation

Reference Levels and Targets

Average Deforestation Rate
--
1996 - 2012
Deforestation Reduction Goal for State/Province and REDD Program
41 % Reduction
for the State/Province and for REDD+ program by 2020
Tons of CO₂e Avoided Target
--
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?
Partially[1]
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.[2]

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.[3]

Forest Degradation Dynamics Monitoring

Are current degradation rates known?
No
Forest Degradation Rates

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

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
171.3 ± -- tC/ha
Below Ground Carbon Stock
-- tC/ha

The provincial government of West Kalimantan has a solid regional institutions’ organizational structure (SOPD) with regard to the provision of partial data needed to support REDD+ implementation. It deems necessary, however, that the provincial government cooperates with other agencies such as LAPAN (National Aerospace Agency) and the Ministry of Forestry to obtain the needed data on regular basis to ensure provision of updated and complete data. The leading sector to coordinate provision of partial data is focused on the Provincial Forestry Office via UPT (technical implementation unit) Pusinfo (GSC/GIS service center), while data on soil, climate, rainfall, emission factors and data related to 5 carbon pools (above-ground, below ground, serasah, dead wood, and soil).

The carbon quantification method is based on measurement of changes in carbon stock. A number of books/references on and guidelines to carbon quantification are available. Carbon pools are measured using forest inventory techniques, soil sampling and ecological surveys.

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 forests on Java, while the highest occur in Kalimantan and Papua.  The resolution of the carbon maps is coarse as the data used to create it was 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).

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

Deforestation Dynamics Monitoring
1. Penghitungan Deforestasi Indonesia Tahun 2008 (Pusat Inventarisasi dan Perpetaan Hutan - Badan Planologi Kehutanan - Departemen Kehutanan 2008).
2. 1) SKI 2011 (Kemenhut, 2012); 2) Outline SRAP REDD+ Kalbar (tanpa tahun).
3. Interview Kepala Bidang PHKA Dishut Kalbar, yang juga ketua Bidang Kehutanan dan Lahan Gambut Pokja REDD+ Kalbar (17/5/2013).