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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. Q Quantification of land use change and  g GHG emissions at the national level
  3. 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)
  4. 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.
  5. 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?
  6. 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
  7. Overall figure of Land cover change 1990‐2005 Overall figure of Land cover change 1990 Overall figure of Land cover change 1990‐
  8. Typical carbon stock of all land use  systems in Indonesia at national level i d i i ll l
  9. Above ground carbon stock map of  Indonesia 1990 d i
  10. Above ground carbon stock map of  Indonesia 2000 d i
  11. Above ground carbon stock map of  Indonesia 2005 d i
  12. 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
  13. 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
  14. 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
  15. What has caused the emission? What has caused the emission?
  16. 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
  17. 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 
  18. 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
  19. Stakeholders consultation on the outputs Stakeholders consultation on the outputs
  20. ALLREDDI Pilot area ALLREDDI Pilot area DRAFT
  21. 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)
  22. 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
  23. 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
  24. 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
  25. REDD Quadrant REDD Quadrant Q2 Q1 emissio REDD  REDD Negotiable scenario n Q3 Q4 Non feasible for  Developments  Developments REDD scenario Increasing economic value
  26. PAPUA
  27. GORONTALO
  28. JAMBI
  29. SOUTH  KALIMANTAN
  30. PASURUAN
  31. 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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