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Climate Change and Agriculture
    Impacts and costs of adaptation

                Gerald C. Nelson
             Senior Research Fellow
  Environment and Production Technology Division


                   5 October 2009
Acknowledgements

 The IFPRI authors
  • Gerald C. Nelson, Mark W. Rosegrant, Jawoo Koo, Richard
    Robertson, Timothy Sulser, Tingju Zhu, Claudia Ringler,
    Siwa Msangi, Amanda Palazzo, Miroslav Batka, Marilia
    Magalhaes, Rowena Valmonte-Santos, Mandy Ewing, and
    David Lee
 Thanks also to
  • Ken Strzepek and Adam Schlosser of MIT for downscaled
    climate scenarios
  • Urvashi Narain, Sergio Margulis, Bob Schneider, and other
    members of the EACC global study report of the World Bank
  • ADB staff and reviewers for valuable comments and insights
    on the ADB report


                                                            Page 2
Preview of Results

 Unchecked climate change will result in a 20 percent
  increase in malnourished children by 2050

 Agricultural productivity expenditures of over $7 Billion
  per year are needed to compensate




                                                         Page 3
Outline

 Climate Change Modeling Methodology

 Impacts
  • Yields, prices, production, trade
  • Calorie consumption, child malnutrition

 Adaptation Costs
  • Need to reduce malnutrition


 Conclusions and Policy Recommendations

                                              Page 4
MODELING METHODOLOGY FOR
 CLIMATE CHANGE IMPACTS
Location-specific Biological and
     Socioeconomic Modeling is Critical
 Climate change brings location-specific changes
  • in precipitation, temperature and variability to
  • local agronomic and market conditions
 Modeling challenge – To reconcile
  • limited resolution of macro-level economic models with
  • crop model detail
 Result
  • More realistic modeling of climate change effects
    (biological and economic) on global/regional agriculture



                                                          Page 6
Global Change Model Components

 Two GCM climate scenarios to show variability
  • NCAR (wetter) and CSIRO (drier)
 DSSAT crop model
  • to estimate biological effects
 ISPAM data
  • to show where to estimate effects
 IMPACT2009
  • To integrate biological effects from crop and hydrology
    results with detailed economic model
CLIMATE DATA:
TODAY AND SCENARIOS FOR
       TOMORROW




                          Page 8
Temperatures have been rising…




    Source: http://data.giss.nasa.gov/gistemp/graphs/   Page 9
… and could increase much more




    Source: Figure 10.4 in Meehl, et al. (2007)
5
                Recent emissions
      Observed emissions are well above A2
        0
         1850 simulated emissions 2100
              1900 1950  2000  2050

                          10
                                  Actual emissions: CDIAC
                                  Actual emissions: EIA                                                     SRES (2000)
                          9
CO2 Emissions (GtC y-1)




                                  450ppm stabilisation                                        2008          A2 aver.
                                                                                       2007
                                  650ppm stabilisation
                                                                                2006
                                                                                                            growth rate for
                                  A1FI (Avgs.)                                                              2000-2010
                                                                         2005
                          8       A1B
                                  A1T                                                                       2.13 %
                                  A2
                          7       B1                                                                        Observed
                                  B2                                                                        2000-2007
                                                                                       A2                   3.5%
                          6


                          5
                           1990        1995              2000              2005                      2010

                                                                                                                   Page 11
                                  Raupach et al 2007, PNAS; Global Carbon Project 2009, update
AVERAGE ANNUAL
 PRECIPITATION CHANGE IN
CLIMATE SCENARIOS DIFFER
         GREATLY
Watch Sub-Saharan Africa, the Amazon, and South Asia
Change in Precipitation (mm), 2000-2050
           CSIRO, A2, AR4
Change in Precipitation (mm), 2000-2050
            NCAR, A2, AR4
CLIMATE CHANGE YIELD
      EFFECTS
Climate change reduces average yields
Crop/            Sub Saharan          East Asia and         South Asia
management       Africa               Pacific
system
Irrigated rice
 NCAR                      -14.1                 -19.8                   -15.5
 CSIRO                     -11.4                 -13.0                   -17.5
Rainfed maize
 NCAR                          -4.6                   1.5                 -7.8
 CSIRO                         -2.4               -3.9                    -2.9
Rainfed wheat
 NCAR                      -21.9                 -14.8                   -44.4
 CSIRO                     -19.3                 -16.1                   -43.7


                                                                          Page 16
AVERAGES CONCEAL GREAT
      VARIATION




                         Page 17
Irrigated rice




    NCAR A2
Irrigated rice




    CSIRO A2
Rainfed rice




   NCAR A2
Rainfed rice




   CSIRO A2
Rainfed maize




   NCAR A2
Rainfed maize




    CSIRO A2
FOOD SUPPLY, DEMAND AND
     TRADE RESULTS
                       IMPACT2009
 Biophysical effects from crop and hydrology models and
     economic effects from global agriculture model
Climate Change Makes Food Price
                                 Increases Greater
                                                                 Greater price
2000                           2050 No climate change   2050 CSIRO NoCF 2050 NCAR NoCF
                                                                increases with
                         450                            Prices increasechange
                                                               climate
                         400                            without climate
Dollars Per Metric Ton




                         350                                change
                         300
                         250
                         200
                         150
                         100
                          50
                          -
                                      Rice          Wheat        Maize     Soybeans


                                                                                      Page 25
Rice Production




                  Page 26
Wheat Production

               Climate change
Large production
               eliminates those
increases in some
regions withoutgains
climate change




                                  Page 27
Maize Production




                   Page 28
Cereal Trade Flows



               Note that CSIRO results
               in more exports from
               developed countries


                       … and therefore more
                       imports into
                       developing countries
Note change in
direction for the
different scenarios

                                              Page 29
Climate Change Increases Childhood
                                  Malnutrition
                       80
                                          2000         2050 No CC          2050 with CC
                       70               Without climate change, child
                       60               malnutrition falls except in
                                                          With climate change, child
Millions of Children




                                        Sub Saharan Africa
                       50                                 malnutrition increases
                                                          everywhere
                       40

                       30

                       20

                       10

                       -
                            South Asia East Asia and Europe and Latin America Middle East Sub Saharan
                                          Pacific    Central Asia    and       and North     Africa
                                                                  Caribbean      Africa
                                                                                              Page 30
CLIMATE CHANGE ADAPTATION
          COSTS
Our Definition of Agricultural Adaptation


 Agricultural investments that reduce child malnutrition
  with climate change to the level with no climate
  change

 What types of investments are considered?
  • Agricultural research
  • Irrigation expansion and efficiency improvements
  • Rural roads



                                                       Page 32
Adaptation Costs are over $7 billion

 Required additional annual expenditure
  • Wetter NCAR scenario = US$7.1 billion
  • Drier CSIRO scenario = US$7.3 billion
 Regional level
  • Sub-Saharan Africa - $3 billion (40% of the total), mainly
    for rural roads
  • South Asia - US$1.5 billion, research and irrigation
    efficiency
  • Latin America and Caribbean - US$1.2 billion per year,
    research
  • East Asia and the Pacific - $1 billion per year, research
    and irrigation efficiency

                                                           Page 33
CONCLUSIONS AND
POLICY RECOMMENDATIONS
Conclusions

 Climate change will have negative impacts
  •   Lower yields
  •   Higher prices
  •   More malnourished children
  •   Changes in trade flows reduce the negative effects
 Agriculture is critical for
  • Poverty reduction
  • Economic development and
  • Food security
 Large additional expenditures should start now to
  reduce the adverse impacts of climate change

                                                           Page 35
Policy and Program Recommendations

 Design and implement good overall development
  policies and programs
 Recognize that enhanced food security and climate-
  change adaptation go hand in hand
 At least $7 billion per year in additional productivity
  investments are needed just for climate change
  adaptation in developing countries




                                                        Page 36
Think and Act Globally and Locally

 Global public goods are needed
  • Improve global data collection, dissemination, and analysis
  • Make agricultural adaptation a key agenda point within the
    international climate negotiation process
  • Complete the Doha Round
  • Expand international agricultural research
 National public goods are needed
  • Reinvigorate national research and extension programs
  • Build supporting national infrastructure – roads, etc.
  • Provide supportive policy environment
 Local public goods are needed
  • Support community-based adaptation strategies


                                                              Page 37
www.ifpri.org




    Thank you

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Climate Change and Agriculture: Impacts and costs of adaptation

  • 1. Climate Change and Agriculture Impacts and costs of adaptation Gerald C. Nelson Senior Research Fellow Environment and Production Technology Division 5 October 2009
  • 2. Acknowledgements  The IFPRI authors • Gerald C. Nelson, Mark W. Rosegrant, Jawoo Koo, Richard Robertson, Timothy Sulser, Tingju Zhu, Claudia Ringler, Siwa Msangi, Amanda Palazzo, Miroslav Batka, Marilia Magalhaes, Rowena Valmonte-Santos, Mandy Ewing, and David Lee  Thanks also to • Ken Strzepek and Adam Schlosser of MIT for downscaled climate scenarios • Urvashi Narain, Sergio Margulis, Bob Schneider, and other members of the EACC global study report of the World Bank • ADB staff and reviewers for valuable comments and insights on the ADB report Page 2
  • 3. Preview of Results  Unchecked climate change will result in a 20 percent increase in malnourished children by 2050  Agricultural productivity expenditures of over $7 Billion per year are needed to compensate Page 3
  • 4. Outline  Climate Change Modeling Methodology  Impacts • Yields, prices, production, trade • Calorie consumption, child malnutrition  Adaptation Costs • Need to reduce malnutrition  Conclusions and Policy Recommendations Page 4
  • 5. MODELING METHODOLOGY FOR CLIMATE CHANGE IMPACTS
  • 6. Location-specific Biological and Socioeconomic Modeling is Critical  Climate change brings location-specific changes • in precipitation, temperature and variability to • local agronomic and market conditions  Modeling challenge – To reconcile • limited resolution of macro-level economic models with • crop model detail  Result • More realistic modeling of climate change effects (biological and economic) on global/regional agriculture Page 6
  • 7. Global Change Model Components  Two GCM climate scenarios to show variability • NCAR (wetter) and CSIRO (drier)  DSSAT crop model • to estimate biological effects  ISPAM data • to show where to estimate effects  IMPACT2009 • To integrate biological effects from crop and hydrology results with detailed economic model
  • 8. CLIMATE DATA: TODAY AND SCENARIOS FOR TOMORROW Page 8
  • 9. Temperatures have been rising… Source: http://data.giss.nasa.gov/gistemp/graphs/ Page 9
  • 10. … and could increase much more Source: Figure 10.4 in Meehl, et al. (2007)
  • 11. 5 Recent emissions Observed emissions are well above A2 0 1850 simulated emissions 2100 1900 1950 2000 2050 10 Actual emissions: CDIAC Actual emissions: EIA SRES (2000) 9 CO2 Emissions (GtC y-1) 450ppm stabilisation 2008 A2 aver. 2007 650ppm stabilisation 2006 growth rate for A1FI (Avgs.) 2000-2010 2005 8 A1B A1T 2.13 % A2 7 B1 Observed B2 2000-2007 A2 3.5% 6 5 1990 1995 2000 2005 2010 Page 11 Raupach et al 2007, PNAS; Global Carbon Project 2009, update
  • 12. AVERAGE ANNUAL PRECIPITATION CHANGE IN CLIMATE SCENARIOS DIFFER GREATLY Watch Sub-Saharan Africa, the Amazon, and South Asia
  • 13. Change in Precipitation (mm), 2000-2050 CSIRO, A2, AR4
  • 14. Change in Precipitation (mm), 2000-2050 NCAR, A2, AR4
  • 16. Climate change reduces average yields Crop/ Sub Saharan East Asia and South Asia management Africa Pacific system Irrigated rice NCAR -14.1 -19.8 -15.5 CSIRO -11.4 -13.0 -17.5 Rainfed maize NCAR -4.6 1.5 -7.8 CSIRO -2.4 -3.9 -2.9 Rainfed wheat NCAR -21.9 -14.8 -44.4 CSIRO -19.3 -16.1 -43.7 Page 16
  • 17. AVERAGES CONCEAL GREAT VARIATION Page 17
  • 18. Irrigated rice NCAR A2
  • 19. Irrigated rice CSIRO A2
  • 20. Rainfed rice NCAR A2
  • 21. Rainfed rice CSIRO A2
  • 22. Rainfed maize NCAR A2
  • 23. Rainfed maize CSIRO A2
  • 24. FOOD SUPPLY, DEMAND AND TRADE RESULTS IMPACT2009 Biophysical effects from crop and hydrology models and economic effects from global agriculture model
  • 25. Climate Change Makes Food Price Increases Greater Greater price 2000 2050 No climate change 2050 CSIRO NoCF 2050 NCAR NoCF increases with 450 Prices increasechange climate 400 without climate Dollars Per Metric Ton 350 change 300 250 200 150 100 50 - Rice Wheat Maize Soybeans Page 25
  • 26. Rice Production Page 26
  • 27. Wheat Production Climate change Large production eliminates those increases in some regions withoutgains climate change Page 27
  • 28. Maize Production Page 28
  • 29. Cereal Trade Flows Note that CSIRO results in more exports from developed countries … and therefore more imports into developing countries Note change in direction for the different scenarios Page 29
  • 30. Climate Change Increases Childhood Malnutrition 80 2000 2050 No CC 2050 with CC 70 Without climate change, child 60 malnutrition falls except in With climate change, child Millions of Children Sub Saharan Africa 50 malnutrition increases everywhere 40 30 20 10 - South Asia East Asia and Europe and Latin America Middle East Sub Saharan Pacific Central Asia and and North Africa Caribbean Africa Page 30
  • 32. Our Definition of Agricultural Adaptation  Agricultural investments that reduce child malnutrition with climate change to the level with no climate change  What types of investments are considered? • Agricultural research • Irrigation expansion and efficiency improvements • Rural roads Page 32
  • 33. Adaptation Costs are over $7 billion  Required additional annual expenditure • Wetter NCAR scenario = US$7.1 billion • Drier CSIRO scenario = US$7.3 billion  Regional level • Sub-Saharan Africa - $3 billion (40% of the total), mainly for rural roads • South Asia - US$1.5 billion, research and irrigation efficiency • Latin America and Caribbean - US$1.2 billion per year, research • East Asia and the Pacific - $1 billion per year, research and irrigation efficiency Page 33
  • 35. Conclusions  Climate change will have negative impacts • Lower yields • Higher prices • More malnourished children • Changes in trade flows reduce the negative effects  Agriculture is critical for • Poverty reduction • Economic development and • Food security  Large additional expenditures should start now to reduce the adverse impacts of climate change Page 35
  • 36. Policy and Program Recommendations  Design and implement good overall development policies and programs  Recognize that enhanced food security and climate- change adaptation go hand in hand  At least $7 billion per year in additional productivity investments are needed just for climate change adaptation in developing countries Page 36
  • 37. Think and Act Globally and Locally  Global public goods are needed • Improve global data collection, dissemination, and analysis • Make agricultural adaptation a key agenda point within the international climate negotiation process • Complete the Doha Round • Expand international agricultural research  National public goods are needed • Reinvigorate national research and extension programs • Build supporting national infrastructure – roads, etc. • Provide supportive policy environment  Local public goods are needed • Support community-based adaptation strategies Page 37
  • 38. www.ifpri.org Thank you