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

1. Methods for Biomass Estimation
and Forest-Cover Mapping in the Tropics
Kigali, Rwanda. June 20, 2011
REDD 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 security
Bolivia-Cameroon:
South-South cooperation in REDD
Training in IPCC compliant biomass measurement
schemes, spatial and economic modeling at national scale
Indigenous REDD Program
in the Bolivian Amazon

3. BOLIVIA
Area: 1,098,581 Km2
Population: ~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-burn
Cattle 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.)
250,000
200,000
150,000
100,000
50,000
0
1991
0 5 2001
10 2005
15 2008
20

8. SPATIALLY-EXPLICIT MODELING
“Deforestation
risk”
Deforestation predictors
Spatial transition probability
Land use
Map of
1991
changes
& 2005

9. PROJECTING FUTURE DEFORESTATION SCENARIOS
2008 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 CLASLite
Index – NDFI (Souza et al 2005) (Asner et al 2009)

13. FOREST DEGRADATION EXTRACTION
deforested– degraded – intact
tC/ha
deforestation 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 degradation
Deforestation Burned Areas

16. REDD BASELINE:
BIOMASS ESTIMATION

17. FOREST STRATIFICATION AND PLOT DEFINITION
• Follow IPCC guidelines
Intact forest
• 30 biomass plots
• 4 forest types sampled
• Average 274 tC/Ha
Degraded forest
• 18 biomass plots
• Average 200 tC/Ha

18. 0,9
Square plot
100 x 100 m 0,8
0,7
0,6
0,5
Subplot
0,4
10 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. Thanks
Questions, comments
Eric Armijo
earmijo@fan-bo.org
http://www.fan-bo.org/
http://www.reddamazonia.org