carboinvent: methods for quantifying forest carbon budgets b. schlamadinger & w. galinski 3....
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CarboInvent: Methods for quantifying forest carbon budgets B. Schlamadinger & W. Galinski
3. USDA Symposium on GHGs in Agric. and ForestryBaltimore, 21-22 March, 2005
www.joanneum.at/CarboInvent
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Forests in the Kyoto Protocol
Afforestation, Reforestation, Deforestation Forest Management
IPCC Good Practice Guidance LULUCFA) Detect lands subject to these activitiesB) Estimate C stock changes and GHG emissions
on these lands
Projects (JI, CDM)
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CarboInventMulti-source inventory methods for quantifying carbon stocks and stock changes in European Forests
14 participants, 10 countries November 2002 - October 2005
Joanneum Research Austria (coordination)EFI FinlandJRC European CommunityUniversity College Dublin IrelandMETLA FinlandInst Forest Ecosystem Res Czech RepublicPIK GermanyHung. Forest Res Inst HungaryGhent Univ BelgiumFed Forest Res Inst AustriaSwed Univ of Agr Sci SwedenUniv of Hamburg GermanyCREAF SpainUniv of Padua Italy
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Objectives Identify / develop / test methods for improved estimates of C stock changes for
UNFCCC and KP reporting
establish database of BEFs and biomass equations for major EU forest types
develop methods for soil C assessment to be combined with forest inventories over large spatial scales
develop multi-source (RS, soils, forest inventory) methods for assessing C stock changes including their regional distribution and uncertainties
apply in test sites and suggest upscaling methods to national level
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Biomass expansion factors at stand levelDatabase: in preparation
BEFStand mean tree diameter (cm)
0 10 20 30 40 50 60 70
Abo
ve-g
roun
d bi
omas
s ex
pans
ion
fact
or (
-)
1.0
1.1
1.2
1.3
1.4
SprucePineBeechOak
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Results – biomass estimationwww.metla.fi/hanke/3306/tietokanta.htm
0
100
200
300
400
500
600
0 10 20 30 40 50
DBH (cm)
Bio
ma
ss
(k
g)
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Carbon stocks in Swedish forest soils and its relation to site factors
Brussels, February 23 2005. Erlandsson, M., Olsson, M., Van Ranst, E and Lundin, L.
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Test country Sweden: Purpose
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Increase in soil C from north to south
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Remote sensing applications
Stratification
K Nearest Neighbours (kNN) Method
Interpolation / extrapolation of forest inventories with time
Mapping aerial extent of severe damages
Monitoring Afforestation / Reforestation / Deforestation
(Direct estimation of biomass carbon stocks)
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Classification of Remote Sensing ImageryExample: Forest Area
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Disturbances (feed into both bottom-up and top-down approaches)
Windthrow
Ground view
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Disturbances (feed into both bottom-up and top-down approaches)
RS view
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„Bottom up“ approach „Top-down“ approach
Forest information (stemwood volume,species composition, soil types, land-use,etc.) aggregated at regional or national level
C budget integrated at regional and nationallevel (currently done for natl reporting)
C budget aggregated atlocal level
Raw data from soil and fieldassessment
Upscaling of methods toregional and national levels
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Errors of source data and models
Errors of living biomasses by component
Errors of biomass turnover rates
Errors in the amounts of litter for three differentlitter types (input to soil model)
Errors related to the parameters in the soil model
Inventory data
Dry wood density
Biomass allocation
Carbon content
Drain from EFISCEN
Errors of drain biomass (harvest residues)
Result distributions for the amount of soil
carbon, changes in carbon, soil respirationResult distribution for
biomass carbon
Results – Top-down approachUncertainty analysis
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Uncertainty of 1990 biomass carbon stock
Uncertainty of biomass carbon sink 2010-1990
Uncertainty of carbon stock and stock change estimates for Finland.
CV%=2.12
CV%=25.1
Vilén, T, Peltoniemi, M. & Meyer, J. Comparable uncertainty estimates of stocks and long-term sinks of biomass and soil carbon in an inventory based method combining a soil model for some European countries. Manuscript in preparation.
Results – Top-down approach
640 MtC 720 MtC
50 MtC 150 MtC
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“Bottom-up” Integration
Plot data
Soil data
BEF (field and default)
Carbon estimates (without soil) per plot
Remote Sensing
Carbon Budget
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Test sites
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Joint Implementation projects
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Results – CDM: Keep it simple!
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Linking temporary credits to emissions trading
CDM projects result in temporary credits
Not exchangeable with other emissions allowances
Separate the liability from credit
Combine with the later part of credit stream from “energy projects”
Objective: facilitate linking of sinks offset projects with EU Emissions Trading System
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Workshop, May 2-4Graz / Austria
Land-use Related Choices under the Kyoto Protocol
Obligations, Options and Methodologies for Defining “Forest” and
for Selecting Activities under Kyoto Protocol Article 3.4
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Options for Including LULUCF Activities in a Post-2012 International Climate Agreement An Expert Meeting to Brainstorm on Objectives of LULUCF, Options for
Inclusion of LULUCF in a Climate Agreement, and Implications of these Options
Graz / Austria, 5-6 May 2005
Organized by:
With Additional Support from: