INSEA Integrated Sink Enhancement Assessment – FP 6 Michael Obersteiner DG AGRI Bruxelles 13 th Sept. 2005
Dec 20, 2015
INSEAIntegrated Sink Enhancement
Assessment – FP 6
Michael Obersteiner
DG AGRIBruxelles
13th Sept. 2005
FT
• Forest fires due to abandoned ag-land
• Agriculture sector second largest contributor to GHG emissions after energy sector
• Climate Change and oil prices require to grow more biofuels
• EU to upload sugar
• Ministers seek unity as fuel prices loom
Background
• The Kyoto Protocol requires that EU-15 reduces its GHG emissions by 8% / 1990 levels (time horizon 2008-12)
• Agriculture represents ~10% of EU GHG emissions – No commitment despite possible wellfare increases
• Agricultural and climate/env policies at a crossroad– Emission Trading Scheme (inclusion of agricultural emissions
and sinks? – 23 EURO/tC)– CHP directive, Biomass Action Plan– Clean Air, Nitrate etc…directives, STS– CAP reform and cross-compliance
…the Challenge ahead….
• Identification of integrative, effective and efficient Policies– Competitiveness & New Markets– Rural Development– Environmental Performance
• Transition planning– Mechanism design– Timing– Precise Planning and Forecasting
INSEA-toolbox
Land Use/cover
Soil DB, Management
Ancillary Cost / Technology data
Non C-GHGs
Biomass crops
Sequestered carbon
20302000
2050
Climate
Change
Geography of Production Possibilities
Link to Energy Models
Food Crops / Wood
AgriculturalforestMarketModel
Common Platform
Existing
Data
Engineering
Models
Biophysical Models
EconomicParameters
EnvironmentalImpact Data
Basic Technologies
Alternative Technologies
Existing
Data
Engineering
Models
Biophysical Models
EconomicParameters
EnvironmentalImpact Data
Basic Technologies
Alternative Technologies
National Economic ModelsFASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
All
Par
tne
rs
National Economic ModelsAGRIPOL FASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
EPIC simulates many Processes:
on a daily time step
Weather: simulated or actualHydrology: evapotranspiration, runoff,
percolation, 5 PET equations,...Erosion: wind and water, 7 erosion equationsCarbon sequestration: plant residue, manure,
leaching, sediment,...Crop growth: NPK uptake, stresses, yields,
N-fixation,...Fertilization: application, runoff, leaching,
mineralisation, denitrification, volatilization, nitrification,...
Tillage: mixing, harvest efficiencies,...Irrigation and furrow diking,...Drainage: depth,... Pesticide: application, movement, degradation,...Grazing: trampling, efficiency,...Manure application and transport,...Crop rotations: inter-cropping, weed competition,
annual and perennial crops, trees,...
EPIC/APEX Input data - Management
Crop rotation (crops, grass/legumes, trees)
• date of planting • date & amount of fertilization (kg/ha)• date & amount of irrigation (mm)• date & amount of pesticides (kg/ha of active
ingredients)• date of tillage operation (plough, harrow spike,
field cultivator, thinning,...) • date of harvesting (expected yield), grazing,...
Distribution of BARLEY_REST and MAIZETOT on arable land of Baden-Württemberg as a result of LUCAS Data Broker
BARLEY_REST MAIZETOT
Yield Validation
0 2 4 6 8 10
02
46
81
0
FADN Yield (tha)
EP
IC Y
ield
(t/h
a)
BARLCORNCSILCSUNFALWFPEAGRCLPOTASGBTWRAPWRYEWWHT
Erosion Conventional / Reduced Tillage
Soil Organic Carbon Conventional / Reduced Tillage
SOC
25
27
29
31
33
35
37
39
41
43
45
-30 -25 -20 -15 -10 -5 0 5 10
Years
SO
C i
n t
/ha
convTill redTill minTill covCrop
National Economic ModelsAGRIPOL FASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
Farm-level model
EFEMEFEM EPIC
soil mapsoil map land use mapland use map climate dataN- depositionclimate data
N- deposition
GISdatabase
GISdatabase
crop areafertilizer intensityC + N of manure
crop areafertilizer intensityC + N of manure
C-balanceSOC, C- pools
emissions (soil)N2 O, CH4 , CO2
leachingNO3 , DOC
C-balanceSOC, C- pools
C-balanceSOC, C- pools
emissions (soil)N2 O, CH4 , CO2
emissions (soil)N2 O, CH4 , CO2
leachingNO3 , DOC
leachingNO3 , DOC
farm emissionsN2 O, CH4 , CO2 , NH3
return ratesshadow prices
mitigation costseconomic indicators
farm emissionsN2 O, CH4 , CO2 , NH3
farm emissionsN2 O, CH4 , CO2 , NH3
return ratesshadow prices
mitigation costseconomic indicators
return ratesshadow prices
mitigation costseconomic indicators
EFEM-DNDC/EPICmanagement
phenologymanagement
phenology
farmstructures
farmstructures
politicalenvironment
politicalenvironment
economicindicatorseconomicindicators
emissionfactors
emissionfactors
National Economic ModelsAGRIPOL FASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
Emission trajectorium - Agriculture
Animal numbers
Crop area
Pasture/Forage
Purchased Feed
On-farm consumption
Emissions RHS
Constraints C NC CH4 N2O
Objective + + + + - - -t -t
CH4 Enteric fermentation emissions
Cattle + + + + + + -1/23 = 0
Non-Cattle + + + + + + -1/23 = 0
CH4 Manure-management emissions
Cattle + + + + + + -1/23 = 0
Non-Cattle + + + + + + -1/23 = 0
CH4 rice production + + -1/23 = 0
N2O Manure management emissions + + -1/296 = 0
N2O Agr soils direct emissions + + + + -1/296 = 0
N2O Agr soils indirect emissions + + + + -1/296 = 0
N2O Agr soils animal production + + -1/296 = 0
Emission accounting: Overview
Emissions factors
GWPs
Tax (€/tCO2)
Constraints Animal numbers
Crop area
Pasture/Forage
Purchased Feed
On-farm consumption
Emissions RHS
C NC CH4 N2O
Objective + + + + - - - -
Feed requirementsEnergy
+ + - - - - - - <= 0
Protein + + - - - - - - <= 0
Maximum ingested matter (cattle) + - - - - - - => 0
Demography (cattle) +/- = 0
CH4 Enteric fermentation emissions + + + + + + - = 0
CH4 Manure management emissions + + + + + + - = 0
N2O Manure management emissions + + - = 0
N2O Agr soils emissions + + + + - = 0
Animal feeding : current modelling approach (cont’d)
Needs
Energy and protein contents of feed
CapacityTotal matter in feed
EU-15 agricultural abatement supply
-8% / 2001(-15% /1990)
55 EUR/tCO2eq
Infra-regional downscaling(e.g. Baden-Württemberg)
Baseline emissions by source (GWP: CH4=23, N2O=296)
CH4 Enteric ferment. Total
Dairy
Non-dairy
CH4 Manure management Total
Dairy
Swine
N2O Manure management Total Synth fertilizers
Anim. wastes applied to soils
Crop ResidueN2O Agr. soils Dir. Emiss. Subtot
Atm. depositionLeaching and run-off
N2O Agr. soils Indir. Emiss. Subtot
N2O Agr. soils Animal production
other N2O
N2O fertilizer productionCO2 fertilizer prod.CO2 energy plantsCO2 plant dryining
CO2 Pflanze
CO2 purchase feedstuffCO2 energy animals
CO2 animal production
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
UHOH Emissions INRA (1) Emissions INRA (2) Emissions
ktC
O2
INRA/UHOH comparison:Baseline emissions by sources
Common emission coverage
UHOH: 5092 ktCO2eq INRA: 5115
ktCO2eq
0,000
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
0 10 20 30 40 50 60 70 80 90 100
Tax (EUR/tCO2)
Ab
atem
ent
(ktC
O2)
0%
2%
4%
6%
8%
10%
12%
14%
INRA estimates of marginal abatement costs
BW
Germany
EU-15
-80 -60 -40 -20 0
01
00
02
00
03
00
04
00
05
00
06
00
0
Per-tC net impact on revenue (minimum tillage, population-weighted)
EUR/tC
Nu
mb
er
of f
arm
s
Mean: StdVar: Min: Max: N: Total:
Sample -4.3 EUR/tC 12.1 EUR/tC -86 EUR/tC 8.6 EUR/tC
561 farms -0.49 10^6 EUR
Total -3.8 EUR/tC 11.9 EUR/tC -86 EUR/tC 8.6 EUR/tC
22728 farms -13.4 10^6 EUR
National Economic ModelsAGRIPOL FASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
Land Use Change until 2100 for B1Intensity map: (affected) ha x C-uptake
Existing forestAfforestationDeforestation
National Economic Models
FASOM
Regional Farm Type Model
AROPAj
Farm ModelEFEM-DNDC
Stand level ModelPICUS
Regional Forest ModelEURO - FOR
Mod
el f
or G
HG
Res
pons
e to
Man
agem
ent
EP
ICC
om
mo
n D
ata
ba
se
a
nd
Sta
nd
ard
s
• Common Database and Data Structure• Harmonized System Boundaries• IPCC GPG and /or FGA Accounting• Consistent Baseline Assumptions• Joint Catalogue of GHG Mitigation Measures• Uniform Validation Criteria• Agreed Sustainability Constraints• Common IT Standards• Standard Scenario Assumptions and Story Lines• Joint Vision
INTEGRATED POLICY FRAMEWORK
Basic Modeling
Processing
Markets
Feed Mixing
Other Resources
Grazing
Labor
Pasture Land
Natl. Inputs
Forestland
Water
Livestock Production
CropProduction
Export
DomesticDemand
Import
Biofuel/GHGDemand
ForestProduction
Cropland
Mitigation Strategy Equilibrium
0
100
200
300
400
500
0 20 40 60 80 100 120 140 160 180 200
Car
bon
pri
ce (
$/tc
e)
Emission reduction (mmtce)
CH4N2O
Ag-Soil sequestration
Afforestation
Biofuel offsets
Example with 5 biofuel plants
Cars Fuel (MW)Bio
(ODT/year)
461500 185 521100
514300 206 580800
1E+06 463 1307600
462300 185 522100
362800 145 409700
Cost in €/GJMEOH
Cost in € / lMEOH
Summary
• Detailed Biophysical Models– Yield Impacts– Environmental Impact Assessment
• Integrated from Farm – Global Agriculture/Forestry/Energy Model
Conclusion
• No free lunches– transfer from Energy sector
• Trade-offs (Ammonia vs N2O, Minimum tillage vs. Pesticides)
• Heterogeneity in biophysical and economic responses.
• Use economic instruments or very well planned traditional (supported by precise scientific tools)