04_A04_MURC_IndoneseiaFSReportingMeeting

7/28/2019 04_A04_MURC_IndoneseiaFSReportingMeeting

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Joint Crediting Mechanism (JCM) Feasibil ity Study

REDD+ for Conservation of Peat Swamp Forest, and

Biomass-based Power Generation using Timber Mill

Waste to Process Indigenous Trees derived from

Conserved Forest

Universitas Palangka Raya
http://www.ajiko.co.jp/en/http://www.murc.jp/english/


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Target Site

Indonesia

Kalimantan Is.

Our study site (Landsat TM image)

Location: Next to Sebangau National Parkin Central Kalimantan


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Typical Drainage System in Central Kalimantan


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Land Use before Project (i.e. Reference Scenario)

Deforestation and forestdegradation because ofForest Fires

Land conversionfrom Rich Forest to Oil Palm

GHG emission from

above-ground biomass

GHG emission

from Peat Soil

Drainage systemchanges water balance

and land use system


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Proposed Land Use after Project (i.e. Project Activities)

Timber production andbiomass-based powergeneration

Sustainable landmanagement

Sustainable forestmanagement

Reducing GHG

emission from forests

and energy sector

Reducing GHGemission from

Peat Soil

Fire Fighting

Water management system


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Our Activities

Establishment of REDD plus methodology

Applying for Peatland; monitoring soil dynamics and above-ground biomass.

Applying for Biomass-based power generation

Introducing following REDD plus Activities by collaboration with

Palangkaraya University, rural people and other related communities

1. Establishment of fire-fighting team and evaluation for reducing

GHG emission

2. Analysis of alternative economic incentive for sustainable land and

forest management

Organizing the production group ofMelaleuca sp. to sell timber to J ava or

South Kalimantan


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REDD plus: Method Development -Eligibil ity Criteria-

1.The project area can include forested wetlands. Peatland shall be defined as which soil is

clarified as organic soils with at least [40%] [50%] [60%] organic matter and a minimum

thickness of [2 m].

Definition of Peatland

2. At the project commencement, the project area shall include only land qualifying as forest

for a minimum of [10 years] prior to the project start date.

Land Eligibility

3.The project area should be covered by middle analyzed satellite images (e.g. Landsat TM)for [at least 15 years] before start of the project. In addition, satellite images consist of over

[4 times], and at least one image should be older than [10 years] before the project.

Accuracy of Reference Level

4.The project area can include different types of forests, such as, but not limited to,

old-growth forests, degraded forests, secondary forests, planted forests and agro-forestrysystems meeting the definition of forest [under FAO] [under DNA of each country] [under

definition of most recent agreement of UNFCCC/J CM].

Definition of the Forest


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REDD plus: Method Development -M and R of MRV-

Activity Data

(Forest area)

Emission/Removal Factors

(Carbon stock per area)

Carbon Stock

in target area

Satellite imagery &Field Survey

Destructive Samplingand LiDAR Approach

Calculation & Reporting

R2 = 0.835

Diameter (cm)CarbonStockkg/ha

=

IntegrationDevelopvolumetable


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REDD plus: Analyzing Activity Data Dynamics

We classified forest types (stratification) by Landsat TM and RGB photos. Inaddition, we did field research for estimating biomass stock in each type of forest


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REDD plus: Identifying Emission Factors & Default Values

Survey 1: Biomass survey for developing allometric equations in 2011

Survey 2 LiDAR analysis for peatland and above-ground biomass in 2011-2012

Survey 3: Identification of Default Emission Factors from field Surveys and

literatures/IPCC EFDB

Direction of Airplane

Ground level in

peatlandRed: LiDAR sensor for

measurement

IPCC Emission

Factor DataBase

First Return

Last Return


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Biomass survey

Developing sample plot

Selecting tree for destructive sampling

Selecting survey plot

REDD plus: Identifying Emission/Removal Factors


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REDD plus: Surface Change in Peatland after forest fire

1

After Forest Fire

Before Forest Fire


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1

REDD plus: Measurement in Melaleuca forests

We separated Melaleuca forests into 3 types according to tree densities and canopy

condition (left figure). After separation, we established 20 sample plots and conducteddestructive sampling for developing allometric equations (right figure).

By applying allometric equations, we can estimate carbon stock of various types of

Melaleuca forests with high accuracy.


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1

REDD plus: Measurement in Secondary Forests

For estimating carbon stock in secondary forests as well as Melaleuca forests , we applied

LiDAR system. First of all, we estimated vegetation height in the forests (left figure). Next,

we conducted destructive sampling in various stages of secondary forests.

From relationship between vegetation height and total biomass, we established equation for

estimating biomass in secondary forests (right figure).


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0

5

10

15

20

0 100 200 300 400 500

Repeated fire Forest Growth Burn toGrass

Grass to Bush

Grassburned

Logging/Fire

2007

2011

BushLow forestTall forest

Veg. Height (m)

0.0 - 0.2

0.2 - 1.0

1.0 - 3.0

3.0 - 1010 -

Type

BurnGrass

VegetationHeight(m)

REDD plus: Biomass Measurement by LiDAR

Data: from Sweda T. et al. 2012

1


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West: Length 36.4 kmMean Level 24.78m (07) : 24.41m (11)Subsidence 37cm

East: Length 49.0 kmMean Level 25.40m (07) : 24.87m (11)Subsidence 53cm

-1.8-1.6

-1.4

-1.2

-1.0

-0.8

-0.6

-0.4

-0.2

0.0

1 51 101 151 201 251 301 351 401 451-2.0

-1.5

-1.0

-0.5

0.0

1 51 101 151 201 251 301 351

Peat Subsidence 2011-2007 (under calculation of results in 2012)

REDD plus: Peatland Measurement by LiDAR

Data: from Sweda T. et al. 2012

1


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Biomass Power Plant: MRV System-

Using default values to evaluate GHG emission reduction which are

differences between reference scenario of coal-fired generator and

biomass power generator.

Eligibility criteria are based on situation in target area.1

Sustainable Melaleuca

forests Managementand protect naturalforests Timber Mill Waste

Timber as alternativelivelihood

GHG i i d i


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GHG emission reduction

REDD plus Project

By introducing forest fire fighting team as REDD plus activities, we

will be able to reduce about 2 to 4 million CO2-e per year (under

draft estimation).

Biomass Project

By introducing activities of sustainable forest management and

using waste of timber, we will be able to reduce about 10 to 15

thousand CO2-e per year (under draft estimation).

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V f MRV t d E i t l I t it


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V of MRV system and Environmental Integrity

To keep transparency, verification process is very important. We

applied Expert pear Review.

Methodology of LiDAR system is quite a new, therefore It was

suggested to compare with other approaches to identify uncertainly.

To considering Environmental Integrity, we had many times ofworkshop with rural people and collecting comments from rurel

people and experts.

REDD plus activities are very essential for sustainable land and forest

management and there are not negative impact on environment. Biomass power plant also donts have negative impact, but should be

consider how to manage waste woods.

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F t Pl f th P j t


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1

REDD plus activity:Establishment of fire-fighting

team

(by Participated style )

Collaboration with Waseda

University and other related

organizations

Implementer: Palangkaraya

University and others

(counterpart/local entity)

Project Developer:

Japans enterprises or

others (Joint Venture ?)

REDD plus activity:

Organizing sustainable forest

management using

alternative resources of

Melaleuca

Future Plan of the Project

Having task of Fund

management

Have to consider how

to get concession of

REDD plus


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2

Thank you very muchMotoshi HiratsukaMitsubishi UFJ Research and Consulting

Contact: [email protected]

04_A04_MURC_IndoneseiaFSReportingMeeting

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