Indonesian GHG Inventory: LUCF Sector

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Indonesian GHG Inventory LUCF Sector

• Rizaldi Boer
• Bogor Agricultural University
• INDONESIA
• E-mail rboer_at_fmipa.ipb.ac.id
• Consultative Group of Expert Hand on Training
  Workshop on GHG Inventory organized by UNFCCC
• Shanghai, 8-12 February 2004

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Indonesia GHG Inventory 1994
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Total Emission by Sector CO2-eq
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Sector Emission by Gases
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GHG Inventory Forestry Sector
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Main Factors cause the variations
Assumption of survival rates of A and R (NAtCOM
used 100)
Area of production and conversion forest under
succession
Selection of MAI for the succession forest.
Estimated from (WVVF-WVLOF) BEFBD/30. In
Indonesia MAI of LOF varied from 1.2-2.7 tB/ha)
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Log Production Area of Harvesting
Log over forest map
Area under succession was logged over forest
(LOF). If LOF data for a given year is not
available, it was estimated from log production
data (the logged area is log production divided
by 20 m3)
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Deforestation Rate (000 ha)
Available data only for 1970S, 1980S and 1990s,
average GF conversion for 25 years
(Def70sDef80sDef90s)/3 proportion similar to
FAO 1990
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Fraction of biomass burnt on and off site and
decay
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Abandoned Land

• Area being abandoned are three categories
• Area of abandoned land was
• shifting cultivation 20mean of SC (1990-1995)
• Grassland
• Forest fire

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Data that need to be improved
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CCFPI (Climate Change, Forest and Peatland in
Indonesia)

• Develop software for estimating carbon stock
  change and GHG emission from peatland
• Inventory of EF from Peatland
• Development of Land Use change model
• Development of software
• Estimation of C-stock changes and GHG emission
  from peatland under current and projected land
  use (different project scenarios)
• Collaboration Project between Wetland
  International-Indonesian Program (WI-IP), Bogor
  Agricultural University and ARCATE Indonesia
  (Funded by CIDA) 2001-2005

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CO2 and CH4 emission from Peatland of South
Kalimantan, Indonesia
Source Hadi et al., 2002
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• A12 Sec. Forest (. 2m depth)
• A11 2 years rice paddy (1-2 m depth)
• A10 6 years rice-soybean rotation (0.2-0.4 m
  depth)
• M9Sec. Forest (0.2-0.6 m depth)
• B8 Sec. Forest (0.05-0.15 m depth)
• B73 years cassava (0.7 m depth)
• B63 years paddy (0.4-0.5 m depth)
• J5 Sec. Forest (0.15-0.25 m depth)
• J41 year paddy (0.05-0.20 m depth)
• G3 Sec. Forest (1-2 m depth)
• G2 Rice paddy-fallow (0.1-0.4 m depth)
• G1 Upland-fallow (0.7-1 m depth)
• Source Hadi et al. 2002)

Seq. CH4
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Effect of flooding on CH4 emission from
herbaceous arctic tundra
Source Mornsey et al, 1994
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Study Site

• Merang Kepahyangan, South Sumatra
• Climate bi-modal

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Inventory of EF from past studies
Socio-economic survey
Project scenario (WBS130, 140, 210, 230, 240,
250) and project boundary
Image analysis (Physical predictors)
Data series of socio-economic
Equations that relate income and energy
consumption
Impact of projects on HH income
Data of CS and MAI (WBS300)
Current and projected LULUCF under the absence
and the presence of C-projects
Database EF, Carbon stock MAI
Selection of EF, CS and MAI
Software or estimating CS change and GHG emissions
Peat depth maturity
Map of peat depth and maturity
Calculation of CS change and emission within
project boundary
Carbon Benefit
Water table of peat with and without blocking
Water table observation data (WBS240), and fire
risk
Canal blocking (WBS120, 130)
Leakage estimation
Leakage quantity
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THANK YOU