Drivers of land use changes and opportunities to reduc emissions in indonesia

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Drivers of Land use changes across Indonesia and opportunities to reduce emissions (In progress) Jusupta Tarigan, Andree Ekadinata, Atiek Widayati Jusupta Tarigan, Andree Ekadinata, Atiek Widayati

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Transcript of Drivers of land use changes and opportunities to reduc emissions in indonesia

Page 1: Drivers of land use changes and opportunities to reduc emissions in indonesia

Drivers of Land use changes acrossIndonesia and opportunities to reduceppemissions (In progress)

Jusupta Tarigan, Andree Ekadinata, Atiek WidayatiJusupta Tarigan, Andree Ekadinata, Atiek Widayati

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Quantification of land use change and Q gGHG emissions at the national level

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Indonesia

‐ Land area 1,919,440 km2 with population d i 123 76/k 2 M h 70% f h l d idensity 123.76/km2 . More than 70% of the land is forest area by law.‐ Regarded as the country with the third highest emissions (and the number 1 for land‐use based (emissions, with per capita emissions some 30% above those in the EU)

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Indonesia Commitment on Climate h i i iChange Mitigation

COPENHAGEN 2009Indonesia committed to 26% emission

LETTER OF INTENT INDONESIA‐NORWAY 2010

to  26% emission reduction unilaterally plus additio

nal 15% through international support by 2020

A two year suspension on all new concessions for conversion of peat 

and natural forest

while retaining 7 % of economicGrowth.

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Implications of the commitment at national d b i land sub national

• How to quantify and monitored emission?q y

• How to design emission reduction plan? 

• Should all province treated in the same way?p y

• How to ensure that emission reduction will not halt economic development?p

• What will be the benefits for local people?

• How will it affect large scale economic plan that g palready decided?

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Landcover mappingLandcover mapping

• The land cover maps that cover at least threeThe land cover maps that cover at least three time period considered to be significant in REDD discussion: 1990, 2000, and 2005 

• Legend categories should be sufficiently details in  reflecting the variations of carbon stock while generic enough to represent LULUCF at national level 

• Should reach acceptable level of accuracy for the most recent maps

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Overall figure of Land cover change 1990Overall figure of Land cover change 1990 20052005Overall figure of Land cover change 1990Overall figure of Land cover change 1990‐‐20052005

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Typical carbon stock of all land use i d i i l l lsystems in Indonesia at national level

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Above ground carbon stock map of d iIndonesia 1990

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Above ground carbon stock map of d iIndonesia 2000

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Above ground carbon stock map of d iIndonesia 2005

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Change of above ground carbon stock in I d i 1990 2000 2005Indonesia 1990‐2000‐2005

1990‐2000 2000‐2005 1990‐20051990 2000 2000 2005 1990 2005

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Green house gas emission from land Green house gas emission from land / h/ huse/cover changeuse/cover change

1990‐2000 2000‐2005

Annual emissions (t C/(ha y)) 3.378 3.390

Annual sequestrations (t C/(ha y)) 0.797 0.697

Net annual emissions (t C/(ha y)) 2 581 2 693Net annual emissions (t C/(ha y)) 2.581 2.693

Total Annual emissions (Gt C/(y)) 0.626 0.628

Total Annual sequestrations (Gt C/(y)) 0.148 0.129

Total Net annual emissions (Gt C/(y)) 0.478 0.499

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Where the emission came from?Where the emission came from?

75 % of GHG emission from land use change ere prod ced b onlwere produced by only 

10 out of 33 province in Indonesia

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What has caused the emission?What has caused the emission?

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Understanding the drivers of land useUnderstanding the drivers of land use change and strategies based on local 

k h ld l istakeholders consultation

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Our main assumptionOur main assumption

1 It’s important to understand sub‐1. It s important to understand sub‐national heterogeneity in developing 

i i d ti lemission reduction plan

2. It is important to recognize region with similar characteristics in term of forest cover dynamics, threat , andcover dynamics, threat , and development  pathways 

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Methods

Focus Group Discussion

Objectives

1. identify dominant trajectories of land use changes2. identify the drivers of land use changes

j

y g3. identify and rank the emitter land use change4. combine the emission level assessment with economic value of activityeconomic value of activity5. apply the above assessment in the REDD feasibility quadrant

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Stakeholders consultation on the outputsStakeholders consultation on the outputsStakeholders consultation on the outputsStakeholders consultation on the outputs

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ALLREDDI Pilot areaALLREDDI Pilot areaALLREDDI Pilot areaALLREDDI Pilot area

DRAFT

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Land use transition stage in IndonesiaLand use transition stage in IndonesiaLand use transition stage in IndonesiaLand use transition stage in Indonesia

FOREST_COREFOREST_FRONTIER_1FOREST_FRONTIER_3FOREST MOSAICS 1

Papua(forest core)

GorontaloFOREST_MOSAICS_1FOREST_MOSAICS_2

Jambi(forest frontier 2)

(forest frontier 1)

South Kalimantan(forest mosaic 1)

Pasuruan(forest mosaic 2)

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Drivers of LUC identified in the workshops

PROVINCE/DISTRICT

Papua Gorontalo Kal‐Sel Jambi PasuruanPapua Gorontalo Kal Sel Jambi Pasuruan

National and Provincial PolicyMarket demand 

Populationgrowth Increasing of 

Increasing of land requirement

Provincial development plan

Marketdemand on timber CH

ANGE

on forest product and palm oil Increasing gross regional revenue

land requirement Provincial regulation on securing corn 

Food security Province spatial planningMarket 

Increasing gross regional revenue Increasing of 

production Increasing gross regional revenue

LAND‐USE C

Provincial development program Mass economic 

price produced by local farmers Increasing gross regional 

demand on forest product and palm oil Increasing 

land requirementMass economic 

Mass economic distribution

IVER

S OF L

distribution Province spatial planningIPKMA permit

revenue Province spatial planning

gross regional revenue

distribution National investment policy

DR

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Shrub to Dominant land use changes in five sites Forest to Estate (oil palm) Forest to Timber  Forest to Estate 

Timber Plantation (HTR)Shrub to

k)

Plantation

Forest to Mi i

(oil palm) Forest to Timber Plantation

Shrub to AgroforestryMagroveto Fishpond

r(C

-Sto

ck

Forest to

Mining Concession

ores

t Cove Forest to 

Cropland

Fo

Papua Gorontalo Kal Sel Jambi PasuruanPapua Gorontalo Kal‐Sel Jambi Pasuruan

Time

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Participatory approach in discussing low emission development planningdevelopment planning

Objectives: Translating local development plan to the configuration of land use Analyzing the impact of planning on the emission levell t d l Planning  towards low emissions 

development

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REDD QuadrantREDD Quadrant

Q1Q2

issio

REDD  REDD Negotiable

em n

scenario

Q3 Q4Non feasible for  DevelopmentsREDD

Developments scenario

Increasing economic value

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PAPUA

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GORONTALO

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JAMBI

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SOUTH KALIMANTANKALIMANTAN

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PASURUAN

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Thank youThank you

More detail results data and information:More detail results, data and information:

http://www.worldagroforestry.org/sea/projects/allreddi/