REDD Sub-national MRV Activities in Bolivia

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Workshop "Methods for biomass estimation and forest-cover mapping in the Tropics". Kigali, Rwanda. June 20, 2011.

Workshop "Methods for biomass estimation and forest-cover mapping in the Tropics". Kigali, Rwanda. June 20, 2011.

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  • 1. Methods for Biomass Estimation and Forest-Cover Mapping in the Tropics Kigali, Rwanda. June 20, 2011REDD Sub-national MRV Activities in Bolivia Eric Armijo
  • 2. FAN´S EXPERIENCE IN THE CLIMATE DOMAIN Noel Kempff Climate Action Project First sub-national REDD project in the world certified using CDM State-Level Climate Adaptation Program Piloting adaptation schemes in biodiversity conservation, watershed management and food securityBolivia-Cameroon:South-South cooperation in REDDTraining in IPCC compliant biomass measurementschemes, spatial and economic modeling at national scale Indigenous REDD Program in the Bolivian Amazon
  • 3. BOLIVIAArea: 1,098,581 Km2Population: ~10 Mill. High biodiversity ~ 50% forest cover Deforestation: ~300,000 Ha/year
  • 4. Indigenous REDD Program in the Bolivian Amazon Size: ~ 3.8 Million Ha. 160,000 inhabitants 4 indigenous territories Forest cover (2008): ~2.7 Million Ha. (71,9 %) Deforestation: 9,800 Ha/yr
  • 5. REDD BASELINE:DEFORESTATION PAST AND FUTURE TRAJECTORIES
  • 6. MAIN DRIVERS AND AGENTS OF DEFORESTATION Slash-and-burnCattle ranching (pastures) Small-scale agriculture ~ 20 - 50 Ha. ~ 1 - 5 Ha. Road improvement
  • 7. FOREST CHANGE DETECTION Forest Savanna Water Deforestation Observed deforestation (AREA Ha.)250,000200,000150,000100,000 50,000 0 1991 0 5 2001 10 2005 15 2008 20
  • 8. SPATIALLY-EXPLICIT MODELING “Deforestation risk” Deforestation predictors Spatial transition probabilityLand use Map of 1991 changes & 2005
  • 9. PROJECTING FUTURE DEFORESTATION SCENARIOS2008 2020 forest deforestation Dinamica EGO
  • 10. REDD BASELINE:FOREST DEGRADATION PATTERNS
  • 11. Steps to determine anthropogenic degradation emissions 1. Build relevant activity data on area change: disturbance maps (CLASLite™ or NDFI) 2. Extract degraded areas of disturbance maps 3. Factor out non-anthropogenic degradation 4. Determine emission factors for each forest stratum
  • 12. FOREST DISTURBANCE DETECTION Normalized Difference Fraction CLASLiteIndex – NDFI (Souza et al 2005) (Asner et al 2009)
  • 13. FOREST DEGRADATION EXTRACTION deforested– degraded – intacttC/hadeforestation degradation intact forest
  • 14. FOREST DEGRADATION EXTRACTION Threshold definition Using high- resolution (2.5m CBERS HRC & SPOT ) and field data
  • 15. FACTORING OUT NON-ANTROPOGENIC DEGRADATION Forest Flooding Unplanned degradation “Natural” forest degradationDeforestation Burned Areas
  • 16. REDD BASELINE:BIOMASS ESTIMATION
  • 17. FOREST STRATIFICATION AND PLOT DEFINITION• Follow IPCC guidelinesIntact forest• 30 biomass plots• 4 forest types sampled• Average 274 tC/HaDegraded forest• 18 biomass plots• Average 200 tC/Ha
  • 18. 0,9Square plot100 x 100 m 0,8 0,7 0,6 0,5Subplot 0,410 x 10 m 0,3 2m 5m 0,2 10 m 0,1 0,0 1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0 9,0 10 m 100 m
  • 19. BIOMASS ESTIMATION• Stratify and multiply (work in progress)• Direct estimation (Baccini et al 2004) Aboveground woody biomass (MgC/Ha)
  • 20. ThanksQuestions, comments Eric Armijo earmijo@fan-bo.org http://www.fan-bo.org/ http://www.reddamazonia.org