REDD Sub-national MRV Activities in Bolivia

Eric Armijo

REDD Sub-national MRV

Activities in Bolivia

Methods for Biomass Estimationand Forest-Cover Mapping in the Tropics

Kigali, Rwanda. June 20, 2011

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 REDDTraining in IPCC compliant biomass measurement schemes, spatial and economic modeling at national scale

Indigenous REDD Program

in the Bolivian Amazon

BOLIVIA

Area: 1,098,581 Km2

Population: ~10 Mill.

High biodiversity~ 50% forest cover

Deforestation:~300,000 Ha/year

Indigenous REDD Programin 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

REDD BASELINE:

DEFORESTATION PAST AND FUTURE TRAJECTORIES

MAIN DRIVERS AND AGENTS OF DEFORESTATION

Cattle ranching (pastures) Small-scale agriculture

Slash-and-burn

~ 20 - 50 Ha. ~ 1 - 5 Ha.

Road improvement

FOREST CHANGE

DETECTION

ForestSavannaWaterDeforestation

0

50,000

100,000

150,000

200,000

250,000

0 5 10 15 20

Observed deforestation(AREA Ha.)

1991 2001 2005 2008

“Deforestation

risk”

Deforestation predictors

Land use

1991

& 2005

Map of

changes

Spatial transition probability

SPATIALLY-EXPLICIT MODELING

PROJECTING FUTURE DEFORESTATION SCENARIOS

2008 2020

forestdeforestation Dinamica

EGO

REDD BASELINE:

FOREST DEGRADATION PATTERNS

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

Steps to determine anthropogenic degradation

emissions

Normalized Difference FractionIndex – NDFI (Souza et al 2005)

CLASLite(Asner et al 2009)

FOREST DISTURBANCE DETECTION

deforested– degraded – intact

tC/ha

deforestation degradation intactforest

FOREST DEGRADATION EXTRACTION

FOREST DEGRADATION EXTRACTION

ThresholddefinitionUsing high-resolution (2.5m CBERS HRC & SPOT ) and fielddata

Forest

Deforestation

Flooding

Burned Areas

Unplanned degradation“Natural” forest degradation

FACTORING OUT NON-ANTROPOGENIC DEGRADATION

REDD BASELINE:

BIOMASS ESTIMATION

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

Square plot100 x 100 m

100 m

Subplot

10 x 10 m

0,0 1,0 4,0 2,0 3,0 5,0 6,0 7,0 8,0 9,0

0,9

0,8

0,5

0,7

0,6

0,4

0,3

0,2

0,1

2 m

5 m

10 m

10 m

BIOMASS ESTIMATION

• Stratify and multiply(work in progress)

• Direct estimation(Baccini et al 2004)

Aboveground woody biomass (MgC/Ha)

Thanks

Questions, comments

Eric Armijo

earmijo@fan-bo.org

http://www.fan-bo.org/

http://www.reddamazonia.org