Logo here
23-25 April 2018: Rizaldi Boer
CCROM-Bogor Agricultural University
Implementing NDC
Target under MRV
Challenge and Principle
on Land Based Sector

Logo here
LUCF in NDC
 What challenges in the
implementation of MRV for
NDC achievement from
forest and NDC
achievement in general?
 What scientific
recommendation related to
the MRV implementation
for NDC from forest?
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University
2
PROLOG
• By 2030, under the
BAU Indonesian
emission will reach
2.87 Gt CO2e (more
than doubled of 2010
emission)
• LUCF is expected to
contribute to about
70% of
the emission reduction
target of the NDC

Logo here
Source: - Ministerial Regulation No. 70/2017
- Guidelines of MRV REDD+ Indonesia
INSTITUTIONAL MECHANISM FOR MRV
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University

Logo here
Source: - Ministerial Regulation No. 70/2017
- Guidelines of MRV REDD+ Indonesia
INSTITUTIONAL MECHANISM FOR MRV
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University

Logo here
Source: - Ministerial Regulation No. 70/2017
- Guidelines of MRV REDD+ Indonesia
INSTITUTIONAL MECHANISM FOR MRV
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University
Annex to Decision 14/CP.19
- Institutional system for monitoring
- Consistency in methodology used
for construction of RL and results
- Data/information that allows for
reconstruction of results
- Use most recent IPCC GL
- AD: combine use of RS and ground
base
- Estimates: transparent, consistent,
as far as possible accurate ~ reduce
uncertainties

Logo here
Source: - Ministerial Regulation No. 70/2017
- Guidelines of MRV REDD+ Indonesia
INSTITUTIONAL MECHANISM FOR MRV
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University
Annex to Decision 14/CP.19
- Institutional system for monitoring
- Consistency in methodology used
for construction of RL and results
- Data/information that allows for
reconstruction of results
- Use most recent IPCC GL
- AD: combine use of RS and ground
base
- Estimates: transparent, consistent,
as far as possible accurate ~ reduce
uncertainties
1. Institutional
arrangement and
regulations
2. Human capacity
and financial
resources
3. Methodology
• Estimation (AD
and EF)
• Uncertainty

Logo here
0
10
20
30
40
50
60
70
80
90
100
CO2PeatFire
CO2PeatDecom
poi
on
CO2EnergyIndustries
CO2M
anufacturingIndustriesand
CO2Non-Croplandto
Cropland
CO2Transporta
on
CO2Non-Otherland
to
Otherland
CO2Forestrem
ainingForest
CH4IndustrialW
astewaterTreatm
entand
CH4RiceCul
va
on
CO2Croplandrem
ainingCropland
CH4Unm
anaged
W
asteDisposalSites
N2O
DirectN2O
Soils
CO2Cem
entProduc
on
CO2Residen
al
CO2Non-Grasslandto
Grassland
CH4EntericFerm
enta
on
CH4OilandNaturalGas
KontribusiKumulaf(%)
Key Categories and Activity Data in LUCF Sector
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University

Logo here
0
10
20
30
40
50
60
70
80
90
100
CO2PeatFire
CO2PeatDecom
poi
on
CO2EnergyIndustries
CO2M
anufacturingIndustriesand
CO2Non-Croplandto
Cropland
CO2Transporta
on
CO2Non-Otherland
to
Otherland
CO2Forestrem
ainingForest
CH4IndustrialW
astewaterTreatm
entand
CH4RiceCul
va
on
CO2Croplandrem
ainingCropland
CH4Unm
anaged
W
asteDisposalSites
N2O
DirectN2O
Soils
CO2Cem
entProduc
on
CO2Residen
al
CO2Non-Grasslandto
Grassland
CH4EntericFerm
enta
on
CH4OilandNaturalGas
KontribusiKumulaf(%)
Activity Data: Spatial &
Centralized: Change on
land cover (NFMS)
Emission Factors:
Spatial: National Forest
Inventory (NFI)
Main Agency: MoEF
How to consolidate data
from local and other
stakeholders ?
Activity Data: Non-spatial &
Decentralized: Planting area
by commodity, amount of
nitrogen fertilizer applied,
number of livestock etc
Emission Factors: Spatial
and non-spatial
Main Agency: MoA
Integration spatial and
non-spatial data for
generating AD
Key Categories and Activity Data in LUCF Sector
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University

Logo here
0
10
20
30
40
50
60
70
80
90
100
CO2PeatFire
CO2PeatDecom
poi
on
CO2EnergyIndustries
CO2M
anufacturingIndustriesand
CO2Non-Croplandto
Cropland
CO2Transporta
on
CO2Non-Otherland
to
Otherland
CO2Forestrem
ainingForest
CH4IndustrialW
astewaterTreatm
entand
CH4RiceCul
va
on
CO2Croplandrem
ainingCropland
CH4Unm
anaged
W
asteDisposalSites
N2O
DirectN2O
Soils
CO2Cem
entProduc
on
CO2Residen
al
CO2Non-Grasslandto
Grassland
CH4EntericFerm
enta
on
CH4OilandNaturalGas
KontribusiKumulaf(%)
Activity Data: Spatial &
Centralized: Change on
land cover (NFMS)
Emission Factors:
Spatial: National Forest
Inventory (NFI)
Main Agency: MoEF
How to consolidate data
from local and other
stakeholders ?
Activity Data: Non-spatial &
Decentralized: Planting area
by commodity, amount of
nitrogen fertilizer applied,
number of livestock etc
Emission Factors: Spatial
and non-spatial
Main Agency: MoA
Integration spatial and
non-spatial data for
generating AD
Key Categories and Activity Data in LUCF Sector
23-25 April 2018: Rizaldi Boer
CCROM SEAP-Bogor Agricultural University
Challenges:
• Data scattered in a number of agencies/institutions
• Lack of regulations on AD measurement and reporting
• Level of detail of AD allows for capturing mitigation actions
(Combination of spatial and non spatial)
• System on QA/QC process for key AD not well in place –
need for human resources and financial
• Limited information on sources of uncertainties for key AD
and EF
Recommendations:
• Assessment of available AD and EF of key sources from
different agencies/institutions and their linkage with mitigation
• Development of regulation on data measurements and
reporting (MMR) from activities contributing significantly to
climate change mitigation from different institutions and
stakeholder ~ improving institution arrangement
• SOP and guideline for MMR that allow other stakeholders to
involve
• Uncertainty assessment for key sources ~ lead to plan for
improvement ~ resource requirements