Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR...

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Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao- German Program Rural Development in Mountainous Areas (RDMA)

Transcript of Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR...

Page 1: Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao-German Program.

Avoided Deforestation through Carbon trading in Buffer Zones of Protected

Areas in Northern Lao PDR

Pilot Activities and Research in the Lao-German Program Rural

Development in Mountainous Areas (RDMA)

Page 2: Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao-German Program.

MSc Research Projects

• Fabian Noeske University of Applied Sciences, (Forestry) Rottenburg , Germany

Evaluation of secondary forest succession biomass following shifting cultivation

• Barbara Dannemann, University of Hohenheim, Stuttgart, Germany (Supervisor: Prof. J.Müller)

Assessment of secondary succession bamboo biomass after shifting cultivation

Page 3: Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao-German Program.
Page 4: Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao-German Program.

Major Threads for Protected Areas

• Shifting cultivation and forest fires in the bufferzones

• Unplanned and illegal extension of rubber cultivation ( up to 300000 ha expected during the next decade)

• Illegal logging

• Hunting and non sustainable extraction of NTFP‘s

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Shifting cultivation landscape

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Clearing by fire for rubber cultivation

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Bamboo dominated regeneration

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Major constraints for development

• Remoteness, limited road infrastructure

• Limited market access

• Average cash income levels between 150-250 $ US per family per year

• Limited access to health and education facilities

• Weak extension services

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Largest per capita CO2 emitters

Highest social and / or agro-economic vulnerability

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Highest vulnerability vs. largest per capita CO2 emissions

Highest social and / or agro-economic vulnerability

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Largest per capita CO2 emitters

Highest social and / or agro-economic vulnerability

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Largest per capita CO2 emitters

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Largest per capita CO2 emitters

Highest social and / or agro-economic vulnerability

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Largest per capita CO2 emitters

Highest social and / or agro-economic vulnerability

Areas with highest ecological vulnerability

Highest vulnerability towards climate change vs. largest CO2 emissions (from fossil fuel combustion and cement production, and including land use change, kg C per person and year from 1950 - 2003)

Largest per capita CO2 emitters

Highest social and / or agro-economic vulnerability

Largest per capita CO2 emitters, and highest social and / or agro-economic vulnerability

Quelle: Schellnhuber, 2007

Page 10: Avoided Deforestation through Carbon trading in Buffer Zones of Protected Areas in Northern Lao PDR Pilot Activities and Research in the Lao-German Program.

Potential of Carbon trading in the context of rural development• High ratio (5-15 ha) of forest area per

capita

• Carbon fixation potential 20 to 60 tons per person or 100-300 tons per family /year

• Potential income levels through carbon trading regimes 500-1500 $ US per year and per family

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Issues of Carbon Trading Mechanism

• Government‘s willingness to accept rural population as an actor in the forest protection and carbon trading mechanism

• Percentage share of carbon credits on national and provincial level

• Transaction costs (monitoring)• Absorption capacity for carbon payments on

village level (productive investments, micro finance, baseline payments per person, social security fund)

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Elements of a Biodiversity Protection/Carbon Trading RDMA

Component• Support dialogue on C-trading on national forest

policy level• Definition of bufferzones in District Development

Plans• Village land use plans and land /forest allocation• Forest protection and sustainable utilization• Fire protection strategies on village level• Development of a Carbon monitoring system• Strengthening micro-finance components• Productive investments in alternative land

development (irrigation, livestock, timber, NTFPs)• Industrial level utilization of bamboo resources

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Tinpha Village Agriculture 530 Regeneration Forest 309 Conservation Area 162 Village Use Forest 268 Protected Forest 138 Village Area 6 Total 1412 Population 2005 339 Total Forest/ Head 2.6 Agricultural Area/ Head 1.6

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Forest Carbon Sample Plot (15 years)

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Forest Carbon Sample Plot

Results of first plot measurements Secondary forest at age 15 years

• Number of Stems : 5497 /ha• Total volume of live trees: 84.5 m³/ha• Total volume dead trees: 78.5 m³/ha• Total volume (solid) live bamboo: 80.5m³/ha• Present annual carbon stored in live tree biomass: 1.7 t /ha/year• Potential carbon storage (?) 5.0 t/ha/year

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Biomass per DBH-Class

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<=1.99 2-3.9 4-5.9 6-7.9 8-9.9 10-11.9 12-13.9 14-15.9 16-17.9 18-19.9

DBH-Class in cm

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Number ofTrees perDBH-Class

Biomass inKg per DBH-Class

*Bamboo and Deadwood not included

Diameters and Biomass of 15 Year Forest Plot (0.15 ha)

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Bamboo Sample Plot

Results of plot measurements in 15 year secondary bamboo succession

• Number of bamboo clumps: 1332 /ha

• Total biomass of live bamboo: 76 t/ha

• Dead biomass: 140 t/ha

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Clumps and Live-Biomass of 15 year old Bambusa tulda succession

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0 - 2.5 2.5 - 5 5 - 7.5 7.5 - 10 10 - 12.5 12.5 - 15 >15

Girth classes

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Clumps/ha

Dry Biomass/ha

Barbara Dannemann, University Hohenheim, Germany, 2007

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Micro finance

• RDMA operates some 150 village levels banks in target provinces

• Capital on average 3000-5000 $US per bank• Development of District and Province level

second tier organizations• Linkages to private sector micro finance

institutions• Successfull implementation of project activities

on loan basis ( livestock, agricultural processing)

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Bamboo management

• Bamboo biomass dominates succesional processes where multiple shifting cultivation cycles have taken place or cycles have become shorter then 5 years

• Bamboo prevents establishment of tree succession

• Bambbo creates an unmanageable fire danger ( fuel loads up to 200 t/ha) due to flowering/dyback in 10-15 years cycles

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BambooTransport in Relation to Skidding System & Distances

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Rafting of Bamboo

• Construction time for a 3 ton bamboo raft is estimated at 3 man-days.

• Transport distances of about 50 km will result in costs of about 6.5 $ US per ton.