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Drivers, forest transitions and setting
baselines at sub-national level
Sonya Dewi
with
Meine van Noordwijk,
Peter Minang
OUTLINE
• Reference Emission Levels (REL) in the
context of REDD and land based NAMAs
(Submission to SBSTA UNFCCC, February 28 2012)
• Experiences and lessons learnt from
Indonesia
REL IN THE CONTEXT OF
REDD+ AND LAND-BASED
NAMA
Key points
• The forest transition’concept can be operationalized as typology of
subnational entities within a large country; an example for
Indonesia
• Different REL calculation techniques apply to different stages of
forest transition, at (sub)national level, to fulfill fairness and
efficiency principles
• Evaluation of existing (pre‐REDD discussion) planned
deforestation’provides an indication of feasible emissions, as
regards infrastructure, labour and capital requirements for
conversion
• The concept of reference level’of deforestation is non‐ operational
unless a stringent ‘natural forest’definition can be agreed upon
internationally; for example Indonesia's recent deforestation rate
varies from ‐0.5 to 3% depending on the forest definition used.
• Linear temporal and spatial extrapolation of historical emission
trends is neither a realistic nor a fair basis for determining REL
Local circumstances
• Variation within a country regarding land
use changes and drivers of land use
changes, and therefore emissions in the
past
• Variation wrt poverty, HDI, population
density, regional income – needs for
economic growth and equity
• Variations in land and forest resources –
stock
60% Undisturbed forest; deforestation are lowest
20% Undisturbed forest; half LOF; degradation is highest
<20% UF, degraded forest and estate; deforestation is highest
10% natural forest; 30% mixed tree, 15% estate and crop:
deforestation >degradation, but lower than the above
10% natural forest; 30% estate, 15% crop land and mixed tree
40% crop land, small fraction of NF in PA, 20% estate, 15%
mixed tree and settlement
Forest transitions
From landcover 1990, 2000, 2005
Proposed methodology
Forward Looking REL
Historical REL
Discounted Historical REL
Historical RL
Proposed methodology for REL
Forward looking scenario: Aligning
baseline scenario and REL with
development and land use planning
Land use/cover map of 2005 and existing plan of
Papua
Baseline scenario and REL based on driver
modelling
Example: Spatially explicit model
of land use change
• Modelling with Neural
Network (Multilayer
Perceptron) in IDRISI
• Scope: Berau and East
Kalimantan
• Period: 2000 – 2020
• Proximate drivers: land
suitability, elevation, spatial
plan, distance to road,
river, settlement, logging
concession, forest
plantation, distances to
forest and changed area,
population density
Actual 2008
2010
2020
Key points
• The forest transition’concept can be operationalized as typology of
subnational entities within a large country; an example for
Indonesia
• Different REL calculation techniques apply to different stages of
forest transition, at (sub)national level, to fulfill fairness and
efficiency principles
• Evaluation of existing (pre‐REDD discussion) planned
deforestation’provides an indication of feasible emissions, as
regards infrastructure, labour and capital requirements for
conversion
• The concept of reference level’of deforestation is non‐ operational
unless a stringent ‘natural forest’definition can be agreed upon
internationally; for example Indonesia's recent deforestation rate
varies from ‐0.5 to 3% depending on the forest definition used.
• Linear temporal and spatial extrapolation of historical emission
trends is neither a realistic nor a fair basis for determining REL
Ex: Linear projection:
historical rate of LULCC
0
2000
4000
6000
8000
10000
12000
T0 T1 T2 T3 T4 T5 T6 T7 T8 T9 T10
Forest
(ha)
Year/period
Deforestation rate = 0.1
Deforestation rate = 0.1
Area of 10,000 ha of forest over 10 year or 10 time periods
Key points
• The forest transition’concept can be operationalized as typology of
subnational entities within a large country; an example for
Indonesia
• Different REL calculation techniques apply to different stages of
forest transition, at (sub)national level, to fulfill fairness and
efficiency principles
• Evaluation of existing (pre‐REDD discussion) planned
deforestation’provides an indication of feasible emissions, as
regards infrastructure, labour and capital requirements for
conversion
• The concept of reference level’of deforestation is non‐ operational
unless a stringent ‘natural forest’definition can be agreed upon
internationally; for example Indonesia's recent deforestation rate
varies from ‐0.5 to 3% depending on the forest definition used.
• Linear temporal and spatial extrapolation of historical emission
trends is neither a realistic nor a fair basis for determining REL
EXPERIENCES AND LESSONS
LEARNT FROM INDONESIA
Projection of
Emission Reduction
Reference Emission
Level
2000 2010 2020
Mt/y Projection of
Emission from
Mitigation Scenario
Historic emission for the base period:
- Source of emissions and drivers of
LUCC
- Emission share
Historic Emission
Reference Emission Level:
- Baseline scenario, incl drivers
- Projected emission
Mitigation activities:
- Addressing dominant sources
of emission and levers
- Projected emission from
mitigation
Transition Probability Matrix
for setting baseline scenario
Reference level
(cumm CO2-eq/ha to 2020)
Lessons learnt
• Trainings were conducted with variable success rates nation-wide at
province level
• Progressive provinces have more initiative in collecting data and
building capacities in setting baseline beyond historical projection
• Parallel processes in developing provincial strategies of REDD+ in
pilot provinces were hard to reconcile from the beginning but
converge toward the end
• Unsupported national action plan for mitigation is soon to be
submitted as the Indonesian NAMA
• There are still confusion between LAMA-NAMA nesting due to
political consideration
• Due to attribution, the direct activities and enabling conditions are
mixed up
• Scope of land-based NAMA coincides with REDD+: REL and MRV
should be common between the two mechanisms
Recommendations
• District level action planning should take place in
the next round, since it is at the district level
where the real on-the-ground implementation
will be happening
• Design iterative review and revise processes
• Guidelines from the government is necessary to
avoid confusion, including the nesting processes
• Data improvement
• Monitoring, Evaluation and Reporting as part of
MRV system
THANK YOU VERY MUCH
TERIMA KASIH

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Drivers, forest transitions and setting baselines at sub-national level

  • 1. Drivers, forest transitions and setting baselines at sub-national level Sonya Dewi with Meine van Noordwijk, Peter Minang
  • 2. OUTLINE • Reference Emission Levels (REL) in the context of REDD and land based NAMAs (Submission to SBSTA UNFCCC, February 28 2012) • Experiences and lessons learnt from Indonesia
  • 3. REL IN THE CONTEXT OF REDD+ AND LAND-BASED NAMA
  • 4. Key points • The forest transition’concept can be operationalized as typology of subnational entities within a large country; an example for Indonesia • Different REL calculation techniques apply to different stages of forest transition, at (sub)national level, to fulfill fairness and efficiency principles • Evaluation of existing (pre‐REDD discussion) planned deforestation’provides an indication of feasible emissions, as regards infrastructure, labour and capital requirements for conversion • The concept of reference level’of deforestation is non‐ operational unless a stringent ‘natural forest’definition can be agreed upon internationally; for example Indonesia's recent deforestation rate varies from ‐0.5 to 3% depending on the forest definition used. • Linear temporal and spatial extrapolation of historical emission trends is neither a realistic nor a fair basis for determining REL
  • 5. Local circumstances • Variation within a country regarding land use changes and drivers of land use changes, and therefore emissions in the past • Variation wrt poverty, HDI, population density, regional income – needs for economic growth and equity • Variations in land and forest resources – stock
  • 6.
  • 7. 60% Undisturbed forest; deforestation are lowest 20% Undisturbed forest; half LOF; degradation is highest <20% UF, degraded forest and estate; deforestation is highest 10% natural forest; 30% mixed tree, 15% estate and crop: deforestation >degradation, but lower than the above 10% natural forest; 30% estate, 15% crop land and mixed tree 40% crop land, small fraction of NF in PA, 20% estate, 15% mixed tree and settlement Forest transitions From landcover 1990, 2000, 2005
  • 9. Forward Looking REL Historical REL Discounted Historical REL Historical RL Proposed methodology for REL
  • 10. Forward looking scenario: Aligning baseline scenario and REL with development and land use planning
  • 11. Land use/cover map of 2005 and existing plan of Papua
  • 12. Baseline scenario and REL based on driver modelling
  • 13. Example: Spatially explicit model of land use change • Modelling with Neural Network (Multilayer Perceptron) in IDRISI • Scope: Berau and East Kalimantan • Period: 2000 – 2020 • Proximate drivers: land suitability, elevation, spatial plan, distance to road, river, settlement, logging concession, forest plantation, distances to forest and changed area, population density
  • 15. Key points • The forest transition’concept can be operationalized as typology of subnational entities within a large country; an example for Indonesia • Different REL calculation techniques apply to different stages of forest transition, at (sub)national level, to fulfill fairness and efficiency principles • Evaluation of existing (pre‐REDD discussion) planned deforestation’provides an indication of feasible emissions, as regards infrastructure, labour and capital requirements for conversion • The concept of reference level’of deforestation is non‐ operational unless a stringent ‘natural forest’definition can be agreed upon internationally; for example Indonesia's recent deforestation rate varies from ‐0.5 to 3% depending on the forest definition used. • Linear temporal and spatial extrapolation of historical emission trends is neither a realistic nor a fair basis for determining REL
  • 16. Ex: Linear projection: historical rate of LULCC 0 2000 4000 6000 8000 10000 12000 T0 T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 Forest (ha) Year/period Deforestation rate = 0.1 Deforestation rate = 0.1 Area of 10,000 ha of forest over 10 year or 10 time periods
  • 17. Key points • The forest transition’concept can be operationalized as typology of subnational entities within a large country; an example for Indonesia • Different REL calculation techniques apply to different stages of forest transition, at (sub)national level, to fulfill fairness and efficiency principles • Evaluation of existing (pre‐REDD discussion) planned deforestation’provides an indication of feasible emissions, as regards infrastructure, labour and capital requirements for conversion • The concept of reference level’of deforestation is non‐ operational unless a stringent ‘natural forest’definition can be agreed upon internationally; for example Indonesia's recent deforestation rate varies from ‐0.5 to 3% depending on the forest definition used. • Linear temporal and spatial extrapolation of historical emission trends is neither a realistic nor a fair basis for determining REL
  • 19. Projection of Emission Reduction Reference Emission Level 2000 2010 2020 Mt/y Projection of Emission from Mitigation Scenario Historic emission for the base period: - Source of emissions and drivers of LUCC - Emission share Historic Emission Reference Emission Level: - Baseline scenario, incl drivers - Projected emission Mitigation activities: - Addressing dominant sources of emission and levers - Projected emission from mitigation
  • 20.
  • 21. Transition Probability Matrix for setting baseline scenario
  • 23. Lessons learnt • Trainings were conducted with variable success rates nation-wide at province level • Progressive provinces have more initiative in collecting data and building capacities in setting baseline beyond historical projection • Parallel processes in developing provincial strategies of REDD+ in pilot provinces were hard to reconcile from the beginning but converge toward the end • Unsupported national action plan for mitigation is soon to be submitted as the Indonesian NAMA • There are still confusion between LAMA-NAMA nesting due to political consideration • Due to attribution, the direct activities and enabling conditions are mixed up • Scope of land-based NAMA coincides with REDD+: REL and MRV should be common between the two mechanisms
  • 24. Recommendations • District level action planning should take place in the next round, since it is at the district level where the real on-the-ground implementation will be happening • Design iterative review and revise processes • Guidelines from the government is necessary to avoid confusion, including the nesting processes • Data improvement • Monitoring, Evaluation and Reporting as part of MRV system
  • 25. THANK YOU VERY MUCH TERIMA KASIH