1 forestry program Ϊ Ϊ Ϊ Ϊ Ϊ i n s e a 1 i n t e g r a t e d s i n k e n h a n c e m e n t a s...
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![Page 1: 1 Forestry Program Ϊ Ϊ Ϊ Ϊ Ϊ I N S E A 1 I N T E G R A T E D S I N K E N H A N C E M E N T A S S E S S M E N T INSEA PARTNERS Uwe Schneider Dagmar Schwab](https://reader035.vdocument.in/reader035/viewer/2022062714/56649d545503460f94a30734/html5/thumbnails/1.jpg)
1Forestry
Program Ϊ Ϊ
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1
I N T E G R A T E D S I N K E N H A N C E M E N T A S S E S S M E N T
INSEA PARTNERS
Uwe SchneiderDagmar SchwabOskar Franklin
Alexander MoiseyevMichael Obersteiner
Florian KraxnerGlen Armstrong
EUFASOM Forestry Sector
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2Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector
People love chopping wood,in this activity one immediately
sees results
Albert Einstein
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3Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorEU FOREST AND AGRICULTURE SECTOR OPTIMIZATION MODEL
Producer and Consumer Welfare
Forestry SectorAgriculture Sector
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4Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorOverview
Forest sector in EUFASOM
InputConstraints
Output
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5Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorInput Data:
Oskar Model (Oskar Franklin)
Forest Sector GTM (Alexander Moiseyev)
FAOSTAT
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6Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector Oskar Model
delivers biomass, tree number, harvest costs …etc. for each country, each species, each managing type (thinning), each period, each cohort.
(code input:) 2005.Bulg.Spruce.30-35.NoThin.Carbon 43.41 tons per
ha
2005.Slvk.Car.105-110.NoThin.HarvestCost 1159.43 EUR per ha
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7Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector are used as starting data
and constraint parameters
(the Oskar Model simulates the grow of the trees…-> this corresponds to CO2 fertilisation ->Exogenous parameters have a time dimension)
(code input:)
2070.Port.DouglasFir.55-60.NoThin.HarvestLabour 25.12
h per ha
6.6 million data-lines from the Oskar
Model
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8Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorForest Sector GTMIIASA/EFIProcess data
production of secondary products made out of primary products
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9Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorProcess: HardWoodSAWING(code input:)
Needs Labour -3.00 hours
Needs Electricity -70.00 kWNeeds OtherCosts - 17.60
EuroNeeds HardWoodSawLogs - 2.10 m3
Produces HardWoodPulpChips 0.72 m3
Produces PanelChips 0.22 m3
Produces EnergyChips 0.11 m3
Produces HardWoodSawnWood 1.05 m3
in Czech Republic
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10Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorFAOSTAT
demand and supply data per Product and Country demand
and supply price, quantity, elasticity
e.g. plywood, graphic paper, panel chips, energy chips….
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11Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector
Primary forest products
Cost,labour…
Forest area
secondary forest products
Cost,labour…
Primary forest products
Oskar Data
GTM
Exogenous Data
Demand
Trade limit (transportation cost)
Products
FAOSTAT
and other exogenous data…..
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12Forestry
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EUFASOM Forestry
Sector
Endogenous Variables
GTM, FAOSTAT
other exogenous DataOskar Data Objective functionconstraints
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13Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorOBJECTIVE FUNCTION OF EUFASOM:
Total Welfare = Consumer Surplus + Producer Surplus
+ Governmental Net Payments – Cost of Production
– Cost of Transport – Cost of Processing
s.t. constraints
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14Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorConstraints:e.g. Forest Inventory Equations
(simplyfied):fv(period, cohort) –fv(period-1,cohort-1)
–fv(period-1,oldestcohort)+hv(period,cohort)=fia(firstperiod,cohort)
fv……forest variable (forest area) (ENDO.)hv……harvest variable (harvested wood area) (ENDO.)fia……forest initial area (EXO. DATA)Constant:country, soil-type, soil-state, species, owner,
management
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15Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorFORINVENT_EQU(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT, FORTECH,POLICY)..FOREST_VAR(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTE
CH,POLICY)$
(FOREST_DATA(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY,
SOILTYPE)AND(FOREST_DATA(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,"ALLTHIN",POLICY,"AREA") OR (NOT YOUNGEST(COHORT))))
- FOREST_VAR(PERIOD-1,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT-1,FORTECH,POLICY) $((NOT FIRST(PERIOD)) AND (NOT YOUNGEST(COHORT)) ANDFOREST_DATA(PERIOD-1,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT-
1,FORTECH,POLICY,SOILTYPE)) - FOREST_VAR(PERIOD-1,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY) $((NOT FIRST(PERIOD)) and OLDEST(COHORT) AND FOREST_DATA(PERIOD-
1,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY,SOILTYPE)) + HARVEST_VAR(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY) $(FOREST_DATA(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY,"HarvestCost") AND
(FOREST_DATA(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY,"AREA") OR (NOT YOUNGEST(COHORT)))) =E=INITIALFOREST_VAR(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,FORTECH,POLICY) $(FIRST(PERIOD) AND
FOREST_DATA(PERIOD,REGION,SOILTYPE,SOILSTATE,SPECIES,OWNER,COHORT,"ALLTHIN",POLICY,"AREA"));
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16Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector
WELFARE
11 resource equation blocks
5 enviroment
al
externality
accounts
equation blocks
10 production equation blocks
policy
equation blocks
(number varies)
8 separable programmi
ng
equation blocks
endogenous variables
input data
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17Forestry
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EUFASOM Forestry
SectorResultsendogenous variables and marginal of
equations• Harvest age• Harvest species• Average harvest age• Species change• Product prices• Trade• …
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18Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector20
15
2030
2045
2060
2075
2090 30
40
55
70
80
90 100 11
0 120 13
0
0
200
400
600
800
1000
1200
1400
1000 ha
Periods Cohorts
Harvest Area Germany
no agriculture , no trade, no carbon tax
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19Forestry
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Sector
304055708090
100
110
120
130B
eech
Dou
glas
Fir
Lar
ch
Sco
tsP
ine
0
1000
2000
3000
4000
5000
1000 ha
CohortsSpecies
Germany Harvest Area
Beech BroadLeaf DouglasFir Fir Larch Oak ScotsPine Spruce
no agriculture , no trade, no carbon tax
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20Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
Sector20
15
2025
2035
2045
2055
2065
2075
2085
2095 30 50 55 65 70 80 90 95 10
010
511
011
512
012
513
013
5
0
100
200
300
400
500
600
700
1000 ha
PeriodsCohorts
Harvest Area Finland
no agriculture , no trade, no carbon tax
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21Forestry
Program Ϊ Ϊ
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Sector
3050556570809095
100
105
110
115
120
125
130
135B
irch
Pop
lar
Sp
ruce
0
200
400
600
800
1000
1200
1400
1000 ha
CohortsSpecies
Finland Harvest Area
Birch BroadLeaf Poplar ScotsPine Spruce
no agriculture , no trade, no carbon tax
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22Forestry
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Sector
010
50100
Finl
Germ020406080
100
120
years
carbon tax [EUR/t]
average harvest age
Year: 2020
Including thinning
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23Forestry
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EUFASOM Forestry
SectorGermany: percentage to 0 Carbon Tax by a rise of
50 Euro per metric tons Carbon
0
20
40
60
80
100
120
Gra
ph
ic P
aper
Har
d W
ood
Pan
el C
arb
on
Har
d W
ood
Ply
woo
d
Har
d W
ood
Pu
lp L
ogs
Har
d W
ood
Saw
n L
og S
ub
s
Har
d W
ood
Saw
n W
ood
Oth
er P
aper
Pan
el
Sof
t W
ood
Car
bon
Pu
lpin
g
Sof
t W
ood
Pan
el C
arb
on
Sof
t W
ood
Pu
lp L
og S
ub
s
Sof
t W
ood
Saw
n L
og S
ub
s
Sof
t W
ood
Saw
n W
ood
Tis
suepe
rcen
tage
of
acti
vity
com
p. t
o 0
EU
R/t
2020
No trade
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24Forestry
Program Ϊ Ϊ
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EUFASOM Forestry
SectorConclusion
1) EUFASOM Forest Sector is established• Forest Industry (sawmilling, wood panel, pulp and
paper)• Physical flows, financial flows• Labor effects2) Climate policy analysis is carried out• average harvest age is increasing• We see substitution effects on the pulpwood market
from hard wood to softwood pulp logs3) Future• Technology update in cooperation with the
EFORWOOD project• Assessment of relative competitiveness of harvested
wood products• Other input updates