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Acordo de Paris e as NDCs:
Percepções do modelo
GLOBIOM-Brasil
Aline Soterroni
Fernando Ramos
+ colaboradores
Seminário Internacional Oportunidades de Negócios para
uma Economia Rural Sustentável: a contribuição das
florestas e da agricultura
Brazil’s emissions by sector
22/05/20192
0
0.5
1
1.5
2
2.5
3
3.5
4
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
BillionCO2eq/yr
Land Use Change
Agriculture
Waste
Industrial Processes
Energy
Source: SEEG (System for the Estimation of Greenhouse Gases)
Brazil’s emissions by sector
22/05/20193
0
0.5
1
1.5
2
2.5
3
3.5
4
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
BillionCO2eq/yr
Land Use Change
Agriculture
Waste
Industrial Processes
Energy
78%
46%
Source: SEEG (System for the Estimation of Greenhouse Gases)
Brazil’s emissions by sector
22/05/20194
0
0.5
1
1.5
2
2.5
3
3.5
4
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
BillionCO2eq/yr
Land Use Change
Agriculture
Waste
Industrial Processes
Energy
Source: SEEG (System for the Estimation of Greenhouse Gases)
~70% of Brazil’s emissions come from Land Use Change and Agriculture sectors
Amazon Deforestation
Deforestation(km2/year)
22/05/20195
Brazil has pledged a 37% reduction in emissions by
2025 compared to 2005 levels (43% by 2030)
Zero illegal
deforestation
by 2030
+12 million
hectares of
forests by
2030
Enforcement
of Brazil’s
Forest Code
Brazil’s NDC commitments
FOREST
CODE
PLANAVEG
(restoration)
PNMC
(climate change)
RENOVABIO
(biofuels)
BONN
CHALLENGE
CBD
NYDF
ABC Plan
(agriculture)
Brazil’s NDC
International Commitments
National Plans
Impacts of Brazil’s Forest Code
8
Legal Reserve
Requirement
Amnesty of
Small Farms
IPAM
1934
Decret
23.793
1965
Federal
Law 4.771
2012
Federal
Law 12.651
IBGE
Soares-Filhoetal(2014) CRA
GLOBIOM Model
2000
2010
2020
2030
2040
2050
Base Year
Validation
Projections
Time Resolution
GLOBIOM-Brazil
can be run up to
2100
www.globiom.org
GLOBIOM Model
2000
2010
2020
2030
2040
2050
Base Year
Validation
Projections
Time Resolution
GLOBIOM-Brazil
can be run up to
2100
Agriculture Livestock Bioenergy Forestry
TRADE
DEMAND
www.globiom.org
GLOBIOM-Brazil: regional version of GLOBIOM
Regional zooming allows detailed spatial representation of land (50x50km) and introduction
of regional policies
30
GLOBIOM-Brazil: regional version of GLOBIOM
Regional zooming allows detailed spatial representation of land (50x50km) and introduction
of regional policies
30
Amazon
Cerrado
Atlantic Forest
Caatinga
Pantanal
Pampa
Model steps
2000 2005 2010 2015 2020 2050
Base
Year Validation Scenarios Projections
Model steps
2000 2005 2010 2015 2020 2050
Base
Year Validation Scenarios Projections
Accumulated deforestation (2001-2015)
22/05/201915
0 50 100 150 200 250 300 0 50 100 150 200 250 300
PRODES/INPE Baseline (GLOBIOM-Brazil)
19.3 million hectares 17.9 million hectares
Spatial distribution of accumulated deforestation in the Amazon biome from 2001 to
2015 given by PRODES/INPE (left) and as projected by the baseline scenario of
GLOBIOM-Brazil (right). The difference between PRODES/INPE and GLOBIOM-Brazil is
around 7%. Color bar values are expressed in thousands of hectares per cell.
Cattle herd in Brazil in 2010
22/05/201916
Cattle herd in Brazil and major biomes in million heads for the year 2010 according to
IBGE/PPM and as projected by the baseline scenario of GLOBIOM-Brazil. The difference
between IBGE/PPM and GLOBIOM-Brazil at national level in 2010 is smaller than 2%.
Soybean harvested area in 2015
22/05/201917
IBGE/PAM Baseline (GLOBIOM-Brazil)
Spatial distribution of the soybean harvested area in 2015 according to IBGE/PAM
(left) and the baseline scenario of GLOBIOM-Brazil (right). Color bar values are
expressed in thousands of hectare per cell.
32.1 million ha 32.8 million ha
Source
Emissions
[MtCO2eq/yr]
Statistics
Climate
Observatory
(SEEG)*
1326
Mean
(2001 – 2010)
GLOBIOM-Brazil 1183
Median
(2001 – 2010)
Validation
Amazon’s
Deforestation
Emissions
Source
Emissions
[MtCO2eq/yr]
Statistics
FREL (2014)
Brazilian Reference
Emissions Level
872
Mean
(2001 - 2010)
Aguiar et al. (2012) 831
Mean
(2000 - 2009)
GLOBIOM-Brazil 815
Mean
(2001 - 2010)
Brazil’s
Total AFOLU
Emissions
* based on 2nd Brazilian Inventory of GHG Emissions
Model steps
2000 2005 2010 2015 2020 2050
Base
Year Validation Scenarios Projections
Scenarios
Measures of the Forest Code
No
enforcement of
the Forest Code
NoFC
Full
enforcement of
the Forest Code
FC
Illegal deforestation control no yes
Small farms amnesty (SFA) no yes
Environmental Reserve Quota (CRA) no yes
Forest regrowth no yes
22/05/201920
Counterfactual
Scenario
0 Mha 12 Mha
Governance
Restoration
Complete
Illegality
Full illegal
deforestation control
NoFC FC
NoFC FC
Cropland expansion x Forest stabilization
22/05/201922
2000 2010 2020 2030 2040 2050
Cropland expansion (bar charts) and native vegetation area evolution (line
charts) as projected by the FC and NoFC scenarios
0
30
60
90
120
300
350
400
450
500
2000 2020 2040
Year
Croplands(Mha)
NativeVegetation(Mha)
Croplands (FC)
Croplands (NoFC)
Native Vegetation (FC)
Native Vegetation (NoFC)
2000 2010 2020 2030 2040 2050
Cropland expansion x Forest stabilization
0
30
60
90
120
300
350
400
450
500
2000 2020 2040
Year
Croplands(Mha)
NativeVegetation(Mha)
Croplands (FC)
Croplands (NoFC)
Native Vegetation (FC)
Native Vegetation (NoFC)
2000 2010 2020 2030 2040 2050
4% smaller
under FC
scenario
FC could
prevent a net
loss of 53.4
million
hectares of
deforestation
Cropland expansion (bar charts) and native vegetation area evolution (line
charts) as projected by the FC and NoFC scenarios
Cropland and pasture loss/gain
Forest Code Scenario (2010 – 2050)
−300 −200 −100 0 100 200 300 −300 −200 −100 0 100 200 300
Cropland loss/gain Pasture loss/gain
24
Forest loss (orange) or gain (blue)
−300 −250 −200 −150 −100 −50 0 50 100 −300 −250 −200 −150 −100 −50 0 50 100
No Forest Code Forest Code
Loss: 25.1 Mha
Gain: 12.9 Mha
Loss: 65.5 Mha
Gain: 0 Mha
22/05/201925
Spatial distribution of cumulative loss (orange) or gain (blue) of native
vegetation for the scenarios NoFC (left) and FC (right) between 2010 and 2050.
0
0.2
0.4
0.6
0.8
1
1.2
1.4
2010 2020 2030 2040 2050
LUCFemissions(GtCO2eq/yr)
No Forest Code Forest Code
Emissions from land-use change and forestry
Brazil’s NDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq)
- 1.03 GtCO2eq
- 0.32 GtCO2eq
43% below 2005 levels
0 Mha 12 Mha
Governance
Restoration
Complete
Illegality
Full illegal
deforestation
control
NoFC IDCImpf IDCAmz FC
NoFC FC
Total emissions – LUCF sector – Brazil
28
0
0.2
0.4
0.6
0.8
1
1.2
1.4
2010 2015 2020 2025 2030 2035 2040 2045 2050
gigatonsCO2eq
NoFC IDCImpf IDCAmz FC
Total emissions – LUCF sector – Brazil
29
0
0.2
0.4
0.6
0.8
1
1.2
1.4
2010 2015 2020 2025 2030 2035 2040 2045 2050
gigatonsCO2eq
NoFC IDCImpf IDCAmz FC
Reduction
> 0.9
Brazil’s INDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq)
Total emissions – LUCF sector – Brazil
30
0
0.2
0.4
0.6
0.8
1
1.2
1.4
2010 2015 2020 2025 2030 2035 2040 2045 2050
gigatonsCO2eq
NoFC IDCImpf IDCAmz FC
Likely to
fulfill
Brazil’s NDC
Reduction
> 0.9
Brazil’s INDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq)
Cumulated avoided native vegetation conversion
to soy between 2021 and 2050
21%
47%
32%
Amazon Cerrado Others
Brazil’s Cerrado
Soy Moratorium
0 50 100 150 200 250 300
soybeans cattle
ranching
Cerrado Manifesto
SoyM in the Amazon
First zero-deforestation
agreement signed in the
tropics
3.6 million
hectares
31
Soterronietal,2019
(acceptedScienceAdvances)
22/05/201932
Thank you
Obrigada
soterr@iiasa.ac.at
Thank you!
soterr@iiasa.ac.at
fernando.ramos@inpe.br

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"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"

  • 1. Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil Aline Soterroni Fernando Ramos + colaboradores Seminário Internacional Oportunidades de Negócios para uma Economia Rural Sustentável: a contribuição das florestas e da agricultura
  • 2. Brazil’s emissions by sector 22/05/20192 0 0.5 1 1.5 2 2.5 3 3.5 4 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 BillionCO2eq/yr Land Use Change Agriculture Waste Industrial Processes Energy Source: SEEG (System for the Estimation of Greenhouse Gases)
  • 3. Brazil’s emissions by sector 22/05/20193 0 0.5 1 1.5 2 2.5 3 3.5 4 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 BillionCO2eq/yr Land Use Change Agriculture Waste Industrial Processes Energy 78% 46% Source: SEEG (System for the Estimation of Greenhouse Gases)
  • 4. Brazil’s emissions by sector 22/05/20194 0 0.5 1 1.5 2 2.5 3 3.5 4 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 BillionCO2eq/yr Land Use Change Agriculture Waste Industrial Processes Energy Source: SEEG (System for the Estimation of Greenhouse Gases) ~70% of Brazil’s emissions come from Land Use Change and Agriculture sectors
  • 6. Brazil has pledged a 37% reduction in emissions by 2025 compared to 2005 levels (43% by 2030) Zero illegal deforestation by 2030 +12 million hectares of forests by 2030 Enforcement of Brazil’s Forest Code Brazil’s NDC commitments
  • 8. Impacts of Brazil’s Forest Code 8 Legal Reserve Requirement Amnesty of Small Farms IPAM 1934 Decret 23.793 1965 Federal Law 4.771 2012 Federal Law 12.651 IBGE Soares-Filhoetal(2014) CRA
  • 9. GLOBIOM Model 2000 2010 2020 2030 2040 2050 Base Year Validation Projections Time Resolution GLOBIOM-Brazil can be run up to 2100 www.globiom.org
  • 10. GLOBIOM Model 2000 2010 2020 2030 2040 2050 Base Year Validation Projections Time Resolution GLOBIOM-Brazil can be run up to 2100 Agriculture Livestock Bioenergy Forestry TRADE DEMAND www.globiom.org
  • 11. GLOBIOM-Brazil: regional version of GLOBIOM Regional zooming allows detailed spatial representation of land (50x50km) and introduction of regional policies 30
  • 12. GLOBIOM-Brazil: regional version of GLOBIOM Regional zooming allows detailed spatial representation of land (50x50km) and introduction of regional policies 30 Amazon Cerrado Atlantic Forest Caatinga Pantanal Pampa
  • 13. Model steps 2000 2005 2010 2015 2020 2050 Base Year Validation Scenarios Projections
  • 14. Model steps 2000 2005 2010 2015 2020 2050 Base Year Validation Scenarios Projections
  • 15. Accumulated deforestation (2001-2015) 22/05/201915 0 50 100 150 200 250 300 0 50 100 150 200 250 300 PRODES/INPE Baseline (GLOBIOM-Brazil) 19.3 million hectares 17.9 million hectares Spatial distribution of accumulated deforestation in the Amazon biome from 2001 to 2015 given by PRODES/INPE (left) and as projected by the baseline scenario of GLOBIOM-Brazil (right). The difference between PRODES/INPE and GLOBIOM-Brazil is around 7%. Color bar values are expressed in thousands of hectares per cell.
  • 16. Cattle herd in Brazil in 2010 22/05/201916 Cattle herd in Brazil and major biomes in million heads for the year 2010 according to IBGE/PPM and as projected by the baseline scenario of GLOBIOM-Brazil. The difference between IBGE/PPM and GLOBIOM-Brazil at national level in 2010 is smaller than 2%.
  • 17. Soybean harvested area in 2015 22/05/201917 IBGE/PAM Baseline (GLOBIOM-Brazil) Spatial distribution of the soybean harvested area in 2015 according to IBGE/PAM (left) and the baseline scenario of GLOBIOM-Brazil (right). Color bar values are expressed in thousands of hectare per cell. 32.1 million ha 32.8 million ha
  • 18. Source Emissions [MtCO2eq/yr] Statistics Climate Observatory (SEEG)* 1326 Mean (2001 – 2010) GLOBIOM-Brazil 1183 Median (2001 – 2010) Validation Amazon’s Deforestation Emissions Source Emissions [MtCO2eq/yr] Statistics FREL (2014) Brazilian Reference Emissions Level 872 Mean (2001 - 2010) Aguiar et al. (2012) 831 Mean (2000 - 2009) GLOBIOM-Brazil 815 Mean (2001 - 2010) Brazil’s Total AFOLU Emissions * based on 2nd Brazilian Inventory of GHG Emissions
  • 19. Model steps 2000 2005 2010 2015 2020 2050 Base Year Validation Scenarios Projections
  • 20. Scenarios Measures of the Forest Code No enforcement of the Forest Code NoFC Full enforcement of the Forest Code FC Illegal deforestation control no yes Small farms amnesty (SFA) no yes Environmental Reserve Quota (CRA) no yes Forest regrowth no yes 22/05/201920 Counterfactual Scenario
  • 21. 0 Mha 12 Mha Governance Restoration Complete Illegality Full illegal deforestation control NoFC FC NoFC FC
  • 22. Cropland expansion x Forest stabilization 22/05/201922 2000 2010 2020 2030 2040 2050 Cropland expansion (bar charts) and native vegetation area evolution (line charts) as projected by the FC and NoFC scenarios 0 30 60 90 120 300 350 400 450 500 2000 2020 2040 Year Croplands(Mha) NativeVegetation(Mha) Croplands (FC) Croplands (NoFC) Native Vegetation (FC) Native Vegetation (NoFC) 2000 2010 2020 2030 2040 2050
  • 23. Cropland expansion x Forest stabilization 0 30 60 90 120 300 350 400 450 500 2000 2020 2040 Year Croplands(Mha) NativeVegetation(Mha) Croplands (FC) Croplands (NoFC) Native Vegetation (FC) Native Vegetation (NoFC) 2000 2010 2020 2030 2040 2050 4% smaller under FC scenario FC could prevent a net loss of 53.4 million hectares of deforestation Cropland expansion (bar charts) and native vegetation area evolution (line charts) as projected by the FC and NoFC scenarios
  • 24. Cropland and pasture loss/gain Forest Code Scenario (2010 – 2050) −300 −200 −100 0 100 200 300 −300 −200 −100 0 100 200 300 Cropland loss/gain Pasture loss/gain 24
  • 25. Forest loss (orange) or gain (blue) −300 −250 −200 −150 −100 −50 0 50 100 −300 −250 −200 −150 −100 −50 0 50 100 No Forest Code Forest Code Loss: 25.1 Mha Gain: 12.9 Mha Loss: 65.5 Mha Gain: 0 Mha 22/05/201925 Spatial distribution of cumulative loss (orange) or gain (blue) of native vegetation for the scenarios NoFC (left) and FC (right) between 2010 and 2050.
  • 26. 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2010 2020 2030 2040 2050 LUCFemissions(GtCO2eq/yr) No Forest Code Forest Code Emissions from land-use change and forestry Brazil’s NDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq) - 1.03 GtCO2eq - 0.32 GtCO2eq 43% below 2005 levels
  • 27. 0 Mha 12 Mha Governance Restoration Complete Illegality Full illegal deforestation control NoFC IDCImpf IDCAmz FC NoFC FC
  • 28. Total emissions – LUCF sector – Brazil 28 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2010 2015 2020 2025 2030 2035 2040 2045 2050 gigatonsCO2eq NoFC IDCImpf IDCAmz FC
  • 29. Total emissions – LUCF sector – Brazil 29 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2010 2015 2020 2025 2030 2035 2040 2045 2050 gigatonsCO2eq NoFC IDCImpf IDCAmz FC Reduction > 0.9 Brazil’s INDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq)
  • 30. Total emissions – LUCF sector – Brazil 30 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2010 2015 2020 2025 2030 2035 2040 2045 2050 gigatonsCO2eq NoFC IDCImpf IDCAmz FC Likely to fulfill Brazil’s NDC Reduction > 0.9 Brazil’s INDC commitment: reduction of 0.9 GtCO2eq (from 2.1 GtCO2eq to 1.2 GtCO2eq)
  • 31. Cumulated avoided native vegetation conversion to soy between 2021 and 2050 21% 47% 32% Amazon Cerrado Others Brazil’s Cerrado Soy Moratorium 0 50 100 150 200 250 300 soybeans cattle ranching Cerrado Manifesto SoyM in the Amazon First zero-deforestation agreement signed in the tropics 3.6 million hectares 31 Soterronietal,2019 (acceptedScienceAdvances)