Technical Workshop on LULUCF reporting issues under the Kyoto Protocol Varese, 13 Nov 2008...
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Transcript of Technical Workshop on LULUCF reporting issues under the Kyoto Protocol Varese, 13 Nov 2008...
Technical Workshop on LULUCF reporting issues under the Kyoto Protocol
Varese, 13 Nov 2008
Germany´s KP Estimation and Reporting System
Annette Freibauer
Karsten Dunger
WG Emission Inventories
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Contents
Who is who: responsibilities and institutional arrangements National emissions / removals from AFOLU Land use area representation Forest definition Art. 3.3 Art. 3.4 Forest management
– F Data: FI, intermediate representative national subsample– LUC etc data– Land categorization– Geographical identification of units of land– Choice of method: emission / removal factors– Improvements planned
[Methods for LUC, CM and GM]
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Responsibilities and institutional arrangements
Reporting by Federal Environmental Agency(UBA) (Anke Benndorf)
AFOLU calculation, QA/QC, report text by Federal Ministry of Food, Agriculture and Consumer Protection (BMELV) through vTI:Johann Heinrich von Thunen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries (vTI)– Coordination by vTI Institute of
Agricultural Climate Research, Working Group on Emission Inventories (Annette Freibauer)
– Contributions from various vTI institutes & others
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Responsibilities and institutional arrangements
UBA: „NAtional System for Emission reporting (NASE)
vTI-AK: CalculationArchiving
German Statistical
Office:Activity data
KTBL:Agri process data, Expert knowledge, Emission factors
vTI-AK, WG Emission Inventories: coordination, QA/QC
Agriculture
vTI-AK: CalculationArchiving
LULUC
BGR/AdVATKIS
(GIS landuse data)
vTI-WOI: CalculationArchiving
Projections
Forestry
vTI-WFW: ARD, Uncertainties
vTI-LR, KTBL: Projections, mitigation costs
vTI-HTB: Wood products
vTI-OEF: Economic studies
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Do land-use emissions matter? First high-resolution German inventory
vTI-AK, AG-EI: NIR 2009-25
-20
-15
-10
-5
0
5
10T
g C
Organic soilMineral soilBiomass
SUM: -31 Tg C y-1
% of German emissions-8% +3.1% +1.4% +0.3%
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Basic decisions
Forest definition→Stocking level/tree crown cover: at least 10 %→Minimum area: 0.1 ha→Potential minimum height of trees: 5 metresclose to NFI def., consistency with reporting to FAO
Reporting method: method 1→Monitoring at federal level
Accounting (Article 3.3 + 3.4): at the end 1. CP→in order to provide a conservative estimate based on
inventory data (recalculation).
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
NFI - Definition
Forest within the meaning of the NFI is – any area of ground covered by forest vegetation. – the term forest also refers to
• cutover or thinned areas, • forest tracks, firebreaks, • openings and clearings, …• further areas linked to and serving the forest
including overgrown heaths and moorland, overgrown former pastures
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
crown cover threshold (50%)
only for overgrown heaths, moorland, pastures, alpine pastures and rough pastures
impact negligible
Min. height of 5 m
Only 3 species in the German NFI species list, which (under some circumstances) do not reach 5 m
Alnus viridis (green alder)
Pinus mugo (dwarf mountain pine)
Ilex aquifolium (Holly)
area is lower than 0,01 % of the forest area (within error estimation).
Differences to NFI definition (source of data)
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Definition: forest management
Forest management is the formal or informal process of planning and implementing practices aimed at fulfilling relevant environmental, economic, social, and cultural functions of the forest.
A Managed forest is a forest subject to forest management.
All German Forests are managed.
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
ARD
Afforestation data:– Old Länder back to 1987 (direct difference in FIs)– New Länder back to 1993 (aggregated)
Net annual change in forest area is +0.1% of existing national forest area.
ARD is significant extra effort for almost no change in area and C stocks!
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Data sources and schedule
AB NFI1 DFR NFI 2 (SS08) NFI3
BB NFI1 DFR NFI 2 (SS08) NFI3
DW NFI 2 (SS08) NFI3
LI … … NFSI1 … NFSI2
SOM … … NFSI1 … NFSI2
Year 1987 1990 1992 1993 2002 2008 2012
ExtrapolationInterpolation
Interpolation
Interpolation Extrapolation/Recalculation+Interpolation
Interpolation
Extrapolation/Recalculation+Interpolation
Interpolation Extrapolation
Interpolation
Interpolation
Rev. Extrapol.
Rev. Extrapol.
Rev. Extrapol.
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Status quo
Operational reporting:– Forest & ARD
• Areas• C stock changes in above-ground and below-ground
biomass
Projects for improvement:– Inventory study 2008 (to 2009): subsample for FI biomass– Study on emissions from forest fire– Study on biomass functions and uncertainties– Documentation and QA/QC
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Future
Additional C pools and GHG emissions / removals:– Dead wood: after 2009 (from Inventory Study 08)– Soil organic C: after 2010 (after soil inventory BZE II)– Forest fires: after 2009 (project until 3/2009)– (Litter): after 2010 (after soil inventory BZE II)
Further improvement planned:– Error propagation and improved uncertainty assessment– Organic soils (measurements & activity data)– Consistency in land use matrix between forest inventory and
GIS approach for non-forest land– Projections (project from 2009 onwards)
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Land use area representation
Forest: forest inventory (4 x 4 km grid)
GIS data base ATKIS– Difference in real situation and update max. 5
years (fastest for infrastructure = main LUC driver)
Improvement in accuracy, management data and timeliness of LUC reporting by InVeKoS, but No national data access yet (in negotiation) Availability in longer term?
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Land use (main categories acc. To ATKIS®) and soil type associations (LBA, BÜK 1000) in district „Osterholz-Scharmbeck“ by
intersection of „BÜK 1000“ and summarized „ATKIS“ - data
WetlandsLBA 3LBA 4LBA 5LBA 6LBA 7LBA 11LBA 17LBA 22LBA 28LBA 31LBA 33LBA 70
Other LandLBA 3LBA 4LBA 5LBA 6LBA 7LBA 11LBA 17LBA 22LBA 28LBA 31LBA 33LBA 70
GraslandLBA 3LBA 4LBA 5LBA 6LBA 7LBA 11LBA 17LBA 22LBA 28LBA 31LBA 33LBA 70
ForestlandLBA 3LBA 4LBA 5LBA 6LBA 7LBA 11LBA 17LBA 22LBA 28LBA 33LBA 70
CroplandLBA 3LBA 4LBA 5LBA 6LBA 7LBA 11LBA 17LBA 22LBA 28LBA 31LBA 33LBA 70
Settlements
Land use change 2005 – 2007 (NIR 2009)
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Total land use change to … (NIR 2009)
0 5.000 10.0002.500 Meters
crop
forl
gras
othl
sett
wetl
Forestland
crop
forl
gras
othl
sett
wetl
Settlementscrop
forl
gras
sett
wetl
Other land
crop
forl
gras
othl
sett
wetl
Grasslandcrop
forl
gras
othl
sett
wetl
Cropland
crop
forl
gras
sett
Wetlands
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
sett
cropforlothl
grass(wet) to
sett
cropforlothl
grass(dry) to
Land use change from grassland to … (NIR 2009)
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
In progress…
vTI-AKFeasibility study for first nationalsoil inventory outside forests
If yes: start 2010/2011
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
About to start …
Research project on national emissions from managed organic soils
– Measurements in 60 sites with land-use and management intensity gradients
– Detailed activity data
– Driver analysis
– Model development
Grünland
Acker
Acker
"Feucht""Siedlung"
Wasser
Sonstiges
Wald
Deutschland
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Summary AFOLU methods in Germany
Agriculture (CH4, N2O): detailed N (and C) matter flow models district-wise, by animal type, (feeding strategies), housing type, manure storage type
Forestry (= Art. 3.4 FM + ARD): gridded sampling by biomass and soil inventories with partial and full repetitions and time interpolations
Other land use: annual wall-to-wall GIS land use data with static national EF estimates for SOC changes by soil type and district-wise yield-dependent changes in biomass (also non-woody)
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
GHG emissions / removals from AFOLU, Germany 2007 vTI-AK, AG-EI: NIR 2009
-25
-20
-15
-10
-5
0
5
10
15
Cropland Grassland Forest N-FertilizerAnimal
husbandry
Tg
C-E
qu
ival
ents
in
200
7
2
2O
4
Sum in C-Equ.-9.2 Tg als CO
+11.3 Tg als N+6.3 Tg als CH
+8.3 Tg C-Equ.
Fraction of total German net GHG emissions / removals
3.1 % 1.4 % -8.0 % 3.9 % 2.7 %Source
Sink
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
vTI institutes
Adapted from NIR 2006
Annette Freibauer: Germany´s KP Estimation and Reporting System. Varese 13-11-08
Forest definition for Federal Forest Inventory
Productive forestUnproductive forestOpeningsNOT: non-wooded ground (roads…)
Adapted from NIR 2006