economic potential of land-use change and forestry for carbon sequestration and poverty reduction
DESCRIPTION
Economic Potential of Land-Use Change and Forestry for Carbon Sequestration and Poverty Reduction. Presentation Outline. Output. Recommendation for Future research. Background. Objective. Farm Level. Policy Level. Transformation Costs. Transaction Costs. Background. the market. - PowerPoint PPT PresentationTRANSCRIPT
Economic Potential of Land-Use Change and Forestry for
Carbon Sequestration and Poverty Reduction
Presentation Outline
Background
Output
Objective
Farm Level Policy Level
Recommendation for Future research
Problem 2(tropical countries)
deforestation,land degradation,
poverty
Problem 1Global Warming
demand for CERs
supply of CERs
the market
energy sector
industrialplantations
smallholderagroforestry
Transformation Costs
Transaction Costs
Background
1. Determine the most appropriate farm forestry systems for capturing carbon credit payments and assisting in poverty reduction
Objectives
2. Estimate the transaction costs of actual projects and identify principles of project design to minimise these costs
Objective 1 deals with farm-level analysis with tools and outcomes:
The MUTAN spreadsheets containing details (inputs, outputs, prices, costs and carbon) of 24 farm forestry systems
Relational plant-species information database, for both trees and shrubs, (currently called TreeSmart) contains over 100 species.
The SCUAF model (Soils Changes under Agroforestry) has been rewritten. The new version (SCUAF 5) is designed to work in conjunction with a spreadsheet. Examples include shifting cultivation, rotations and agroforestry systems. The software and examples are available for free download at: http://www.une.edu.au/carbon/scuaf.php
•MUTAN stands for Model Usahatani Hutan (Farm Forestry Model)
OutputOutput
OutputOutput
Figure 1. Mean annual increment (MAI) and current annual increment (CAI) of two tree species in different sites. Arrows represent the cycle length basedOn the traditional forester solution (maximisation of MAI)
Figure 2. Net present Value (NPV) of two species of trees grown in different sitesAnd under two accounting procedures: with no carbon credits (thin line) or withCarbon credits under the ideal accounting system (solid line). Arrow represent the optimal Cycle length
Table 1. Financial Analysis
Size of Project to Reach 8000 t CO2 (Small Scale CDM)
0 1000 2000 3000 4000 5000 6000
Are
a (
ha)
Number of House Hold to Reach 8000 t CO2
0 1000 2000 3000 4000 5000 6000
No
.HH
SOURCE: CESERF-ACIAR, 2003
Performance of the Systems: Small Scale CDMPerformance of the Systems: Small Scale CDM
• Objective 2 deals with transaction costs and project design
Now that the Kyoto Protocol has been ratified, there has been some activity under the Clean Development Mechanism (CDM). However, the projects approved under the CDM so far do not include LUCF projects. So our analysis has been based on existing smallholder development projects from East Nusa Tenggara (IFSP and HKM), Muara Sungkai (Lampung) ICRAF Project and Lombok (JIFPRO).
OutputOutput
Project Design Document project developer
National approval host government (DNA)
Implementation + Monitoring
CDM executive board
Verification and certification
CER issuance
operational entity
operational entity
CDM executive board
Validation Stakeholder comments
Registration
project developer
CDM CycleCDM Cycle
Project Design Document
National approval
Implementation + Monitoring
Verification and certification
CER issuance
Validation Stakeholder comments
Registration
Rp. 361.52 juta
Rp. 0
Incl in certification
2% of CERs
Rp. 148.4 juta
Rp. 400 juta
* projects < 15,000 t C/y
projects >8000 ha
Estimation of Transaction Costs for JIFPRO Pre-CDM ProjectEstimation of Transaction Costs for JIFPRO Pre-CDM Project
Sumber: Prasetyo, 2005.
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Generate & disseminate information
Bundle projects
Teach landholders to measure C
Encourage community self-regulation
Promote secure land tenure
Reducing transaction costsReducing transaction costs
Publications:
• 16 working papers available in ACIAR manuscript• 4 published journals and 3 under review
Computer Programs:
• BRASS (Bioeconomic Rubber Agroforestry Support System)• SCUAF (Soil Change Under Agroforestry)• MUTAN (Model Usahatani Hutan / Farm Forestry Model)• TreeSmart (Relational Tree Database)
Output DiseminationOutput Disemination
Eligible Location(TA ADB Project 2005/6)
Deli Serdang, Nth. Sumatra Singkarak, West Sumatra West Lampung, Lampung Sidrap, South Sulawesi
Bombana, SE Sulawesi
Hu. Su. Sel., S. Kalimantan
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Indonesian closed forest cover - 1995
1. Potential of carbon trading for regional economic and community development
2. Research on designing simplified carbon trading
3. Research on how CDM community forestry have effect on combating global change
Possibility for future research :