Title: CDM Agroforestry Project and Sustainable Development: Indonesian Case
1CDM Agroforestry Project and Sustainable
Development Indonesian Case
- Rizaldi Boer
- Climatology Laboratory
- Department of Geophysics and Meteorology,
- Bogor Agricultural University
- rboer_at_fmipa.ipb.ac.id
- Workshop on Sustainable Development Indicators,
NCU Taiwan, 17-19 November 2001
2Intoduction
- Afforestation and reforestation has been adopted
to be eligible under CDM. - Degraded land/forest in Indonesia reaches 30 Mha
- Rehabilitation fund is limited
- CDM provide alternative financial mechanism for
supporting rehabilitation activities - Agroforestry might be potential for CDM (?).
This presentation will - highlight some findings from studies related to
the impact of agroforest systems on
socio-environmental indicators - describe an alternative approach to measure the
environmental additionality of the project
3Some principles suggested by TERI (2000) in
defining sustainable development
- There must not be local opposition towards the
projects, and the projects must not impose burden
on local communities. - There must not be environmental burden shifting.
- The project must provide multiple social and
economic benefits, as well as environmental
benefits.
4Score of relative importance of sustainable
development criteria
5Agroforestry Systems in Jambi (Anonimous, 2001)
6Social and Environmental Conditions of Different
Land Use Options (Murdiyarso et al., 2001)
A 0no problem outside of normal farmer
management domain, -0.5probem that may challenge
farmers adaptice capacity -1serious problem.
B equivalent human population that can be
supported C 0no change, -0,5some concern
justified, -1serious concern justified
(Murdiyarso et al. (2001)
7Likely impact of the various land-use practices
on watershed functions (Murdiyarso et al., 2001)
8CDM Projects
- Techniques which are able to quantify the impact
of changing land use pattern resulted by the
projects on environmental (in particular carbon
stock) and socio-economic factors inside and
outside project sites are required in order to
ensure that the benefit is real and measurebale
(No leakage) - Carbon leakage is defined as the increase in net
GHG emissions (leakage) or decrease of net GHG
emissions (spillover) outside the project/policy
area or time horizon. The same concept can also
be applied on non-GHG impacts e.g., costs and
benefits of a project experienced outside the
target spatial and temporal domain, but these are
generally referred to as externalities.
9Metholodological Approach
- Land-based accounting system (IPCC, 2001)
- Q is total carbon sequestered or released
- i1, 2, 3,, M index for landscape unit
- j1, 2, 3, , N index for carbon pools (e.g. AGB,
BGB, etc.) - k1, 2, 3, , R index for adjustment
- TB and TE are year at beginning and end of
project commitment period - A is correction factor (e.g. baseline, leakage
etc.)
10What we should answer ?
- What are the likely changes in land use and land
use cover change in the future with and without
carbon sink projects ?
11Approach to answer the question ?
- Logit(Pi) a ?(bjxj)
- P is probability of land cover change-i,
- a intercept and
- bj coefficient of independent variable xj
- Pi elogit(Pi)/(1elogit(Pi))
- If Pi 0 (no cover change) and 1 (cover change
occur) - Pcrit 0.5 might be used to define whether cover
change occur or not
12Step of Analysis
Develop the logit regression using past data
(image analysis)
Determine factors that drive the cover change
Define trajectory of land use/cover change
Project the likely change in the predictors with
without project case
Apply the equations and define the cover change
Validate the model
Develop projection of carbon stock with and
without project case
Estimate the carbon stock with and without
project case
Estimate the Leakages
13Source Murdiyarso and Wasrin, 2000 and Palm et
al. 1999
14Selection of Independent variables for the
logistic model ?
- All factors that may drive conversion of a given
landuse to others should be known - distance of land to road, to river, to market,
and to settlements, slope, - population density
- NPV of activity in a given land
- level of income and level of dependency on forest
- wood demand (local, national)
- etc.
15 Equations PRF-SCF SCF-AGF PRF-APL PRF-
APL etc. etc
16 Apply the equations PRF-SCF
SCF-AGF PRF-APL PRF-APL etc. etc
17(No Transcript)
18Relationship between C Stocks and Plant Species
Richness in Jambi Transect (Murdiyarso et al.,
2001)
19Evaluate the historical change in land use
pattern, identify faktors that drive forest/land
conversion, and develop model to define
forest/land conversion
Contribution of CDM projects to SD measured
Develop baseline and mitigation scenarios
Dynamic models to evaluate the change in
socio-economics and environmental condition
under baseline and mitigation scenarios
Kyoto Protocol
CCC, CBD, CCD, others
Sink-CDM projects and other carbon sink projects
Project the possible changes in factors that
drive carbon leakage (physical factors and some
important development indicators) with without
CDM projects
A set of land use scenarios under baseline and
mitigation scenarios
Apply the model and estimate the likely change
in land use pattern with (Mitigations) and
without CDM projects (Baseline)
20Conculding Remark
- Agroforestry may provide three environmental
services namely carbon storage, biodiversity and
hydrological services and contribute to the
improvement of socio-economic condition. - The magnitude impact of the agroforestry
activities on environmental services would be
depends on types of trees, type of management,
and their position in the landscape as well as
the change in other development indicators due to
their implementation. - Simple logit regression and emperical models
could be promoted to be used to quantify the
impacts.
21THANK YOU