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Drivers of Land use changes across
Indonesia and opportunities to reduce
                 pp
emissions (In progress)
 Jusupta Tarigan, Andree Ekadinata, Atiek Widayati
Q
Quantification of land use change and 
                               g
  GHG emissions at the national level
Indonesia




 ‐ Land area 1,919,440 km2 with population 
d i 123 76/k 2 . More than 70% of the land is 
density 123.76/km M         h 70% f h l d i
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)
Indonesia Commitment on Climate 
         Change Mitigation
           h      ii i




      COPENHAGEN 2009
                                        LETTER OF INTENT INDONESIA‐
       Indonesia committed 
                                                NORWAY 2010
         to 
         to 26% emission
                 emission 
                                       A two year suspension on all new 
reduction unilaterally plus additio
                                      concessions for conversion of peat 
         nal 15% through 
                                              and natural forest
  international support by 2020
 while retaining 7 % of economic
              Growth.
Implications of the commitment at national 
                  and sub national
                     d b     i   l
• How to quantify and monitored emission?
          q       y
• How to design emission reduction plan? 
•            p
  Should all province treated in the same way?y
• How to ensure that emission reduction will not halt 
  economic development?
                    p
• What will be the benefits for local people?
                        g                 p
• How will it affect large scale economic plan that 
  already decided?
Landcover mapping
• The land cover maps that cover at least three
  The 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
Overall figure of Land cover change 1990‐2005
Overall figure of Land cover change 1990
Overall figure of Land cover change 1990‐
Typical carbon stock of all land use 
systems in Indonesia at national level
        i    d     i        i    ll l
Above ground carbon stock map of 
         Indonesia 1990
           d    i
Above ground carbon stock map of 
         Indonesia 2000
           d    i
Above ground carbon stock map of 
         Indonesia 2005
           d    i
Change of above ground carbon stock in 
     Indonesia 1990‐2000‐2005
     I d     i 1990 2000 2005




    1990 2000
    1990‐2000    2000 2005
                 2000‐2005   1990 2005
                             1990‐2005
Green house gas emission from land 
           use/cover change
              /       h
                                         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
                                           2 581       2.693
                                                       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
Where the emission came from?
               Where the emission came from?




 75 % of GHG emission 
 from land use change 
were produced by only 
  ere prod ced b onl
10 out of 33 province in 
       Indonesia
What has caused the emission?
What has caused the emission?
Understanding the drivers of land use 
Understanding the drivers of land use
 change and strategies based on local 
              k h ld           l i
           stakeholders consultation
Our main assumption
         Our main assumption

1. It s important to understand sub‐
1 It’s important to understand sub‐
   national heterogeneity in developing 
   emission reduction plan
        i i     d ti     l
2. It is important to recognize region with 
   similar characteristics in term of forest 
   cover dynamics, threat , and 
   cover dynamics, threat , and
   development  pathways 
Methods
Focus Group Discussion



Objectives
  j
1. identify dominant trajectories of land use changes
2. identify the drivers of land use changes
          y                             g
3. identify and rank the emitter land use change
4. combine the emission level assessment with 
economic value of activity
economic value of activity
5. apply the above assessment in the REDD feasibility 
quadrant
Stakeholders consultation on the outputs
Stakeholders consultation on the outputs
ALLREDDI Pilot area
ALLREDDI Pilot area




        DRAFT
Land use transition stage in Indonesia
Land use transition stage in Indonesia




  FOREST_CORE            Papua
  FOREST_FRONTIER_1      (forest core)
  FOREST_FRONTIER_3                Gorontalo
  FOREST_MOSAICS_1
  FOREST MOSAICS 1
                                   (forest frontier 1)
  FOREST_MOSAICS_2


                                          Jambi
                                          (forest frontier 2)


                                              South Kalimantan
                                              (forest mosaic 1)
                                                              Pasuruan
                                                              (forest mosaic 2)
Drivers of LUC identified in the workshops
                                                                 PROVINCE/DISTRICT

                                   Papua              Gorontalo              Kal Sel
                                                                             Kal‐Sel            Jambi             Pasuruan
                    CHANGE




                              National and         Population           Increasing of     Provincial        Market
                             Provincial Policy     growth                land               development        demand on 
                              Market demand        Increasing of       requirement        plan               timber 
           LAND‐USE C




                             on forest product     land requirement       Food security    Increasing        production
                             and palm oil           Provincial           Province         gross regional      Increasing 
                              Increasing gross    regulation on         spatial planning   revenue            gross regional 
                             regional revenue      securing corn          Market            Increasing of    revenue
                              Provincial                                                                       Mass 
DRIVERS OF L




                                                   price produced        demand on          land 
                             development           by local farmers      forest product     requirement        economic 
                             program                Increasing          and palm oil        Mass             distribution
                             Mass economic        gross regional         Increasing       economic 
                             distribution          revenue               gross regional     distribution
                              Province spatial     Province spatial    revenue             National 
                             planning              planning                                 investment 
                             IPKMA permit                                                  policy
Dominant land use changes in five sites                               Shrub to 
                                                                                              Timber 
                                          Forest to Estate                                   Plantation 
                                         (oil palm)                                           (HTR)
                                          Forest to Timber            Forest to Estate      Shrub to 
                                                                                              Shrub to
                                         Plantation                   (oil palm)              Agroforestry
                                                                       Forest to Timber       Magrove
                                                        Forest to    Plantation              to Fishpond
                    k)




                                                       Mining 
                                                       Mi i
 orest Cover (C-Stock




                                                       Concession

                           Forest to
                            Forest to 
                          Cropland
Fo




                                Papua      Gorontalo       Kal‐Sel
                                                           Kal Sel         Jambi        Pasuruan

                                                               Time
Participatory approach in discussing low emission 
                    development planning
                    development planning
Objectives:
 Translating local development plan to the 
  configuration of land use
 Analyzing the impact of planning on the 
  emission level
 Planning  t
   l        towards low emissions 
                   d l
  development
REDD Quadrant
                 REDD Quadrant

            Q2                  Q1
emissio



          REDD               REDD Negotiable
          scenario
n




            Q3                    Q4
      Non feasible for       Developments 
                             Developments
      REDD                   scenario


                     Increasing economic value
PAPUA
GORONTALO
JAMBI
SOUTH 
KALIMANTAN
PASURUAN
Thank you
                 Thank you
More detail results, data and information:
More detail results data and information:
http://www.worldagroforestry.org/sea
  /projects/allreddi/

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

  • 1. Drivers of Land use changes across Indonesia and opportunities to reduce pp emissions (In progress) Jusupta Tarigan, Andree Ekadinata, Atiek Widayati
  • 2.
  • 3. Q Quantification of land use change and  g GHG emissions at the national level
  • 4. Indonesia ‐ Land area 1,919,440 km2 with population  d i 123 76/k 2 . More than 70% of the land is  density 123.76/km M h 70% f h l d i 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)
  • 5. Indonesia Commitment on Climate  Change Mitigation h ii i COPENHAGEN 2009 LETTER OF INTENT INDONESIA‐ Indonesia committed  NORWAY 2010 to  to 26% emission emission  A two year suspension on all new  reduction unilaterally plus additio concessions for conversion of peat  nal 15% through  and natural forest international support by 2020 while retaining 7 % of economic Growth.
  • 6. Implications of the commitment at national  and sub national d b i l • How to quantify and monitored emission? q y • How to design emission reduction plan?  • p Should all province treated in the same way?y • How to ensure that emission reduction will not halt  economic development? p • What will be the benefits for local people? g p • How will it affect large scale economic plan that  already decided?
  • 7. Landcover mapping • The land cover maps that cover at least three The 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
  • 8.
  • 9.
  • 10.
  • 16. Change of above ground carbon stock in  Indonesia 1990‐2000‐2005 I d i 1990 2000 2005 1990 2000 1990‐2000 2000 2005 2000‐2005 1990 2005 1990‐2005
  • 17. Green house gas emission from land  use/cover change / h 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 2 581 2.693 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
  • 18. Where the emission came from? Where the emission came from? 75 % of GHG emission  from land use change  were produced by only  ere prod ced b onl 10 out of 33 province in  Indonesia
  • 20. Understanding the drivers of land use  Understanding the drivers of land use change and strategies based on local  k h ld l i stakeholders consultation
  • 21. Our main assumption Our main assumption 1. It s important to understand sub‐ 1 It’s important to understand sub‐ national heterogeneity in developing  emission reduction plan i i d ti l 2. It is important to recognize region with  similar characteristics in term of forest  cover dynamics, threat , and  cover dynamics, threat , and development  pathways 
  • 22. Methods Focus Group Discussion Objectives j 1. identify dominant trajectories of land use changes 2. identify the drivers of land use changes y g 3. identify and rank the emitter land use change 4. combine the emission level assessment with  economic value of activity economic value of activity 5. apply the above assessment in the REDD feasibility  quadrant
  • 23. Stakeholders consultation on the outputs Stakeholders consultation on the outputs
  • 25. Land use transition stage in Indonesia Land use transition stage in Indonesia FOREST_CORE Papua FOREST_FRONTIER_1 (forest core) FOREST_FRONTIER_3 Gorontalo FOREST_MOSAICS_1 FOREST MOSAICS 1 (forest frontier 1) FOREST_MOSAICS_2 Jambi (forest frontier 2) South Kalimantan (forest mosaic 1) Pasuruan (forest mosaic 2)
  • 26. Drivers of LUC identified in the workshops PROVINCE/DISTRICT Papua Gorontalo Kal Sel Kal‐Sel Jambi Pasuruan CHANGE  National and   Population  Increasing of   Provincial   Market Provincial Policy growth land  development  demand on   Market demand   Increasing of  requirement plan timber  LAND‐USE C on forest product  land requirement  Food security Increasing  production and palm oil  Provincial   Province  gross regional   Increasing   Increasing gross  regulation on  spatial planning revenue gross regional  regional revenue securing corn   Market   Increasing of  revenue  Provincial   Mass  DRIVERS OF L price produced  demand on  land  development  by local farmers forest product  requirement economic  program   Increasing  and palm oil  Mass  distribution Mass economic  gross regional   Increasing  economic  distribution revenue gross regional  distribution  Province spatial   Province spatial  revenue  National  planning planning investment  IPKMA permit policy
  • 27. Dominant land use changes in five sites  Shrub to  Timber   Forest to Estate  Plantation  (oil palm) (HTR)  Forest to Timber   Forest to Estate  Shrub to  Shrub to Plantation (oil palm) Agroforestry  Forest to Timber   Magrove  Forest to  Plantation to Fishpond k) Mining  Mi i orest Cover (C-Stock Concession  Forest to Forest to  Cropland Fo Papua Gorontalo Kal‐Sel Kal Sel Jambi Pasuruan Time
  • 28. Participatory approach in discussing low emission  development planning development planning Objectives:  Translating local development plan to the  configuration of land use  Analyzing the impact of planning on the  emission level  Planning  t l towards low emissions  d l development
  • 29. REDD Quadrant REDD Quadrant Q2 Q1 emissio REDD  REDD Negotiable scenario n Q3 Q4 Non feasible for  Developments  Developments REDD scenario Increasing economic value
  • 30. PAPUA
  • 32. JAMBI
  • 35. Thank you Thank you More detail results, data and information: More detail results data and information: http://www.worldagroforestry.org/sea /projects/allreddi/