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It turns out… believe it or not…




   IFPRI
   … IS SPATIAL TOO!


                           crop              fertilizer
                                                                   final remarks
    introduction
                                            profitability
                          modeling



                                         JAWOO KOO, ZHE GUO, AND STANLEY WOOD
                                   INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
                                                     CGIAR-CSI 2009, ILRI, Nairobi, Kenya (1 APRIL 2009)
SChEF                                                   ECONOMIC
                                                        EVALUTION
                                                        dialogue with
                                 CHANGES                stakeholders/user groups on
                                 nutrient & water       scenarios, evaluation, and
                                 managements,           technology-scale evaluation
                                 germplasm adoption,
                                 climate change, etc.
       BASELINE
       characterization,                 Ingredients
       potential productivity,
                                          SPAM
       profitability
                                          Production systems characterization
                                          SIMPLR
                                          Price modeling
                                          DREAM
                                          Web-based data query and visualization tools

  SPATIAL CHARATERIZATION & EVALUATION FRAMEWORK
                                   SChEF
 ASSESSMENT OF PRODUCTIVITY RESPONSES TO
    DETERMINANTS AND THEIR INTERACTIONS
         Variety
         Nutrient management
         Water management
         Biotic constraints
         Abiotic constraints
         Climate change

   DYNAMIC CROP SYSTEMS MODELS
         DSSAT
         APSIM
         WOFOST
         ORYZA
                                                          IFPRI HPC (80 CPU’s)

GRID-BASED REGIONAL-SCALE ASSESSMENT OF CROP RESPONSES TO CHANGES
             DYNAMIC CROP SYSTEMS MODELS
   Climatology
   Soils
   Cropping Patterns
   Crop Variety
   Planting Window
   Planting Density
   Water Management
   Nutrient Management (N and P*)
   Residue Management*
   Biotic Stresses*
   Soil Constraints and Interventions (P and pH)*
                                              *Coming Soooooooon!

            CROP SYSTEMS MODEL APPLICATIONS
             SIMPLR MODELING TEMPLATE
Global / Monthly mean of 1950-2000
                 Tmax,Tmin,Rain / 1km         Global / Daily 1997-recent
                                        Srad,Tmax,Tmin,Rain / 1 degree*


                                              *WorldWeather downscales to 15’

HISTORIC CLIMATOLOGY                    DAILY WEATHER
    WorldClim                           NASA-POWER
Continent       Count
    Africa        1300
     Asia          975
  Australia        31
   Europe          370
North America      291
   Oceania         49
South America      388
    Total         3404




                   GLOBAL SOIL PROFILES
                ISRIC WISE 1.1 DATABASE
GENERIC SOIL PROFILES (HWSD+WISE1.1)
HC27: Fertility x Texture x Depth
   Crop:        MAIZE
   Model:       DSSAT-CSM v4
   Region:      SSA
   Resolution:  5 ARC-MIN
   Climate:     NASA-POWER
                 (1998-2007)
 Soils:         HC27
 Managements:
   Monthly planting window
   Rainfed/Irrigation
   Three cultivars
    (long, medium, and short maturity)
   Supplemental N fertilizer
    applications
    (0, 20, …, 100 kg*N+/ha)



                    Latest Dataset Release (Ver.SIM09064)
            SPATIAL EVALUATION OF MAIZE PERFORMANCE
 Cassava, Chickpea, Cowpea,
  Fababean, Maize, Millet,
  Mungbean, Potato, Sorghum,
  Soybean, Sweet Potato, Wheat,
  Rice
 WOFOST & ORYZA
 Global, 1-degree                       MAIZE | Water limited, med. maturity, coarse soil texture
 NASA-POWER daily weather
  (1997-2007)
 Options:
     Biweekly planting window
     Water-limit vs. potential
     Sandy or clayey soil texture
     Three maturity classes

                                         MAIZE | Potential with no limitation


                                 REFERENCE LAYERS
                          GLOBAL YIELD POTENTIAL
Scenario A2A (2050-2000)
                                           kg/ha
                                               < -3,000

                                                                 MAIZE
                                               -2,999 - -2,000
                                               -1,999 - -1,000
                                               -999 - -500
                                               -499 - 500
                                               501 - 1,000
                                               1,001 - 2,000
                                               > 2,001




                                                                 Scenario A2A (2050-2000)
Maize: Climate change hotspots (red)       kg/ha

                                                                 GROUNDNUT
                                              < -3,000
                                              -2,999 - -2,000
                                              -1,999 - -1,000
                                              -999 - -500
                                              -499 - 500
                                              501 - 1,000
                                              1,001 - 2,000
                                              > 2,001




                                       HOTSPOT ANALYSIS
                              CLIMATE CHANGE IMPACTS
Crop model-

                               +       SPATIAL            Yield
                     ANN
   generated
   ASPATIAL
                                     Climate, Soil       impacts
training datasets




                    REDUCED FORM OF CROP SYSTEMS MODEL
                       CLIMATE CHANGE IMPACTS
Beyond Nitrogen:
1. GIS: What is the location and severity of key soil
   productivity constraints in SSA? What crop areas are
   affected?
2. SIMPLR: How much yield and production is “currently”
   being lost because of these constraints? What is the
   annual costs of those losses?
3. SIMPLR: To what extent can the impact of these
   constraints be mitigated by improved
   inputs/management interventions?
4. DREAM: What is the potential size and distribution
   of economic benefits of mitigation/intervention        hbo.com



                        NEW THEME 2009
ABIOTIC CONSTRAINTS TO CROP PRODUCTIVITY AND PRODUCTION
Key Factors Influencing Fertilizer Adoption & Profitability


                                       Farmgate
                                        Output                Markets
       Location & Production
                                         Prices
          System Specific
        Fertilizer Responses

           (Climate/Weather
                                           Farmgate           Transport
          Soils, Management)
                                           Fertilizer           Costs
                                             Prices          (on & off road)




    Policy Experiments for a more enabling
    environment
    (a) negotiated urea import discounts

                                                        Fertilizer Import Costs
    (b) reduced unit transport costs
    (c) reduce border crossing costs
Maize price                                                                                                Port/border
                                                                                                                               processing fee
                     Y2008             Y2006             Y2004
U.S. $/Mt

                         395.9841          224.3687                219
Migori : KE
                                                                            U.S.$/kg         Stevedore                Handling     Removal Charge                      storage      Terminal handling
                         270.7492          153.4093          153.3523
Kitale : KE

                                                                          Kenya                     0.008                    0.006           0.002                           0.0005             0.008
                         310.3333          191.3333          206.6667
Eldoret : KE

                                                                          Uganda                    0.008                    0.006           0.002                           0.0005             0.008
                               267.4       169.6667                219
Nakuru : KE

                               293.6              225            219.25
Nairobi : KE
                                                                          Tanzania                  0.005                    0.004           0.004                           0.0005             0.008
                         395.3333                 224        223.9167
Kisumu : KE
                                                                          Rwanda                    0.005                    0.004           0.004                           0.0005             0.008
                               291.4       217.3333              210.75
Mombasa : KE
                                                                          Burundi                   0.005                    0.004           0.004                           0.0005             0.008
                         347.6927          220.6128                245
Kitui : KE

                               265.5           168.875             138
Busia : KE
                                                                               Source: www.tradeafrica.biz
                               283.8            270.25            184.2
Kigali : RW
                                                                                       A Guide For Maize Traders on Regulatory Requirements For Import and Export Maize in East African Community
                               259.5       240.1667                191
Ruhengeri : RW


                               306.6       187.8333          164.6667
Dar es salaam : TZ

                         276.6981               156.78       187.6364
Arusha : TZ

                         231.8831              146.615           114.25
Mbeya : TZ


                             260.012       205.1448               186.9
Mwanza : TZ


                         224.5972          153.7778               108.5
Songea : TZ


                         211.7557          133.8889                118
Sumbawanga : TZ

                         246.4771          196.1111          176.3333
Tanga : TZ

                         277.8545          219.2222                206
Bukoba : TZ


                         252.2355              155.375             133
Iganga : UG

                         237.6648          175.9224          168.3636
Kabale : UG


                               245.2             181.5       172.1667
Kampala : UG


                         200.5419                 181        153.3333
Kasese : UG


                         205.2909          151.9588          150.1818
masindi : UG

                                303             159.75       165.3333
Mbale : UG

                                254             171.25       150.6667
Lira : UG




Source: Regional Agricultural trade intelligence network
Policy Scenarios   Scenario:1 Reduced
                   Procurement Cost
                   Negotiated decrease
                   in import
                   price of Urea (50%)




                   Scenario 2: Road
                   Transport Cost
                   Reduce road
                   transport costs by
                   20% per ton per km




                   Scenario 3: Reduce
                   Border Cost
                   Border-crossing cost
                   reduces 50%



     Baseline
Maize Markets & Market Prices




                                40 maize
40 towns & cities reporting                   2005 av. maize prices in
                              “marketsheds”
      maize prices                            each marketshed
Maize transport costs from
                             Net maize “farmgate” price
farmgate to target market
VCRs: Baseline and policy scenarios 1 & 2
                      (estimated at 35kg N/ha)




< 0.5

0.5-1.0

          Baseline                               2: 20% lower road transport
                         1: 50% lower urea
1.1-2.0

                                                            cost
                         procurement price
2.1-4.0

>4.0
VCR By Country & Market Access
           (early 2008)
                 VCR by Market Access Class
Country   High    Med.    Low          Average
Burundi   2.5     2       2            2.25
Kenya     2.75    2.25    1.5          2.25
Rwanda    2       1.5     1.5          1.75
Tanzania 3.25     2.75    1.25         2.5
Uganda    3       2       1.75         2
All       2.75    2.25    1.5          2.25
WHERE TO INVEST?
AG MARKET FINDER | marketfinder.info
Demonstration*
      http://marketfinder.info

*Please, FREE the network for a moment!




           WHERE TO INVEST?
 AG MARKET FINDER | marketfinder.info
 SPAM* UPDATE
    2000 ver.3
    2005
 AEZ UPDATE FOR SSA
 HARVESTCHOICE DOMAIN
 VISUALIZATIONS: GKS-2-HMNS

                                 *NO name change!

           THINGS KEEP US BUSY
               UPDATES
Mashup Ingredients
                  Map data (e.g., Shapefile)
                  Map tiles using GMapCreator
                  Google Maps API
                    Base map
                    Interface
                    Marker
                    Reverse Geocoding
                    Overlaying tiles
                  Ajaxing using jQuery
                  Apache Web Server
                  Data tables in MySQL
                  Programming in PHP (CodeIgniter)
                  Google Chart API
                  Lots of Coffee



DATA EXPLORATION AND VISUALIZATION
           DROPPR

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[Day 2] Center Presentation: IFPRI

  • 1. It turns out… believe it or not… IFPRI … IS SPATIAL TOO! crop fertilizer final remarks introduction profitability modeling JAWOO KOO, ZHE GUO, AND STANLEY WOOD INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE CGIAR-CSI 2009, ILRI, Nairobi, Kenya (1 APRIL 2009)
  • 2. SChEF ECONOMIC EVALUTION dialogue with CHANGES stakeholders/user groups on nutrient & water scenarios, evaluation, and managements, technology-scale evaluation germplasm adoption, climate change, etc. BASELINE characterization, Ingredients potential productivity,  SPAM profitability  Production systems characterization  SIMPLR  Price modeling  DREAM  Web-based data query and visualization tools SPATIAL CHARATERIZATION & EVALUATION FRAMEWORK SChEF
  • 3.  ASSESSMENT OF PRODUCTIVITY RESPONSES TO DETERMINANTS AND THEIR INTERACTIONS  Variety  Nutrient management  Water management  Biotic constraints  Abiotic constraints  Climate change  DYNAMIC CROP SYSTEMS MODELS  DSSAT  APSIM  WOFOST  ORYZA IFPRI HPC (80 CPU’s) GRID-BASED REGIONAL-SCALE ASSESSMENT OF CROP RESPONSES TO CHANGES DYNAMIC CROP SYSTEMS MODELS
  • 4. Climatology  Soils  Cropping Patterns  Crop Variety  Planting Window  Planting Density  Water Management  Nutrient Management (N and P*)  Residue Management*  Biotic Stresses*  Soil Constraints and Interventions (P and pH)* *Coming Soooooooon! CROP SYSTEMS MODEL APPLICATIONS SIMPLR MODELING TEMPLATE
  • 5. Global / Monthly mean of 1950-2000 Tmax,Tmin,Rain / 1km Global / Daily 1997-recent Srad,Tmax,Tmin,Rain / 1 degree* *WorldWeather downscales to 15’ HISTORIC CLIMATOLOGY DAILY WEATHER WorldClim NASA-POWER
  • 6. Continent Count Africa 1300 Asia 975 Australia 31 Europe 370 North America 291 Oceania 49 South America 388 Total 3404 GLOBAL SOIL PROFILES ISRIC WISE 1.1 DATABASE
  • 7. GENERIC SOIL PROFILES (HWSD+WISE1.1) HC27: Fertility x Texture x Depth
  • 8. Crop: MAIZE  Model: DSSAT-CSM v4  Region: SSA  Resolution: 5 ARC-MIN  Climate: NASA-POWER (1998-2007)  Soils: HC27  Managements:  Monthly planting window  Rainfed/Irrigation  Three cultivars (long, medium, and short maturity)  Supplemental N fertilizer applications (0, 20, …, 100 kg*N+/ha) Latest Dataset Release (Ver.SIM09064) SPATIAL EVALUATION OF MAIZE PERFORMANCE
  • 9.  Cassava, Chickpea, Cowpea, Fababean, Maize, Millet, Mungbean, Potato, Sorghum, Soybean, Sweet Potato, Wheat, Rice  WOFOST & ORYZA  Global, 1-degree MAIZE | Water limited, med. maturity, coarse soil texture  NASA-POWER daily weather (1997-2007)  Options:  Biweekly planting window  Water-limit vs. potential  Sandy or clayey soil texture  Three maturity classes MAIZE | Potential with no limitation REFERENCE LAYERS GLOBAL YIELD POTENTIAL
  • 10. Scenario A2A (2050-2000) kg/ha < -3,000 MAIZE -2,999 - -2,000 -1,999 - -1,000 -999 - -500 -499 - 500 501 - 1,000 1,001 - 2,000 > 2,001 Scenario A2A (2050-2000) Maize: Climate change hotspots (red) kg/ha GROUNDNUT < -3,000 -2,999 - -2,000 -1,999 - -1,000 -999 - -500 -499 - 500 501 - 1,000 1,001 - 2,000 > 2,001 HOTSPOT ANALYSIS CLIMATE CHANGE IMPACTS
  • 11. Crop model- + SPATIAL Yield ANN generated ASPATIAL Climate, Soil impacts training datasets REDUCED FORM OF CROP SYSTEMS MODEL CLIMATE CHANGE IMPACTS
  • 12. Beyond Nitrogen: 1. GIS: What is the location and severity of key soil productivity constraints in SSA? What crop areas are affected? 2. SIMPLR: How much yield and production is “currently” being lost because of these constraints? What is the annual costs of those losses? 3. SIMPLR: To what extent can the impact of these constraints be mitigated by improved inputs/management interventions? 4. DREAM: What is the potential size and distribution of economic benefits of mitigation/intervention hbo.com NEW THEME 2009 ABIOTIC CONSTRAINTS TO CROP PRODUCTIVITY AND PRODUCTION
  • 13. Key Factors Influencing Fertilizer Adoption & Profitability Farmgate Output Markets Location & Production Prices System Specific Fertilizer Responses (Climate/Weather Farmgate Transport Soils, Management) Fertilizer Costs Prices (on & off road) Policy Experiments for a more enabling environment (a) negotiated urea import discounts Fertilizer Import Costs (b) reduced unit transport costs (c) reduce border crossing costs
  • 14. Maize price Port/border processing fee Y2008 Y2006 Y2004 U.S. $/Mt 395.9841 224.3687 219 Migori : KE U.S.$/kg Stevedore Handling Removal Charge storage Terminal handling 270.7492 153.4093 153.3523 Kitale : KE Kenya 0.008 0.006 0.002 0.0005 0.008 310.3333 191.3333 206.6667 Eldoret : KE Uganda 0.008 0.006 0.002 0.0005 0.008 267.4 169.6667 219 Nakuru : KE 293.6 225 219.25 Nairobi : KE Tanzania 0.005 0.004 0.004 0.0005 0.008 395.3333 224 223.9167 Kisumu : KE Rwanda 0.005 0.004 0.004 0.0005 0.008 291.4 217.3333 210.75 Mombasa : KE Burundi 0.005 0.004 0.004 0.0005 0.008 347.6927 220.6128 245 Kitui : KE 265.5 168.875 138 Busia : KE Source: www.tradeafrica.biz 283.8 270.25 184.2 Kigali : RW A Guide For Maize Traders on Regulatory Requirements For Import and Export Maize in East African Community 259.5 240.1667 191 Ruhengeri : RW 306.6 187.8333 164.6667 Dar es salaam : TZ 276.6981 156.78 187.6364 Arusha : TZ 231.8831 146.615 114.25 Mbeya : TZ 260.012 205.1448 186.9 Mwanza : TZ 224.5972 153.7778 108.5 Songea : TZ 211.7557 133.8889 118 Sumbawanga : TZ 246.4771 196.1111 176.3333 Tanga : TZ 277.8545 219.2222 206 Bukoba : TZ 252.2355 155.375 133 Iganga : UG 237.6648 175.9224 168.3636 Kabale : UG 245.2 181.5 172.1667 Kampala : UG 200.5419 181 153.3333 Kasese : UG 205.2909 151.9588 150.1818 masindi : UG 303 159.75 165.3333 Mbale : UG 254 171.25 150.6667 Lira : UG Source: Regional Agricultural trade intelligence network
  • 15. Policy Scenarios Scenario:1 Reduced Procurement Cost Negotiated decrease in import price of Urea (50%) Scenario 2: Road Transport Cost Reduce road transport costs by 20% per ton per km Scenario 3: Reduce Border Cost Border-crossing cost reduces 50% Baseline
  • 16. Maize Markets & Market Prices 40 maize 40 towns & cities reporting 2005 av. maize prices in “marketsheds” maize prices each marketshed
  • 17. Maize transport costs from Net maize “farmgate” price farmgate to target market
  • 18. VCRs: Baseline and policy scenarios 1 & 2 (estimated at 35kg N/ha) < 0.5 0.5-1.0 Baseline 2: 20% lower road transport 1: 50% lower urea 1.1-2.0 cost procurement price 2.1-4.0 >4.0
  • 19. VCR By Country & Market Access (early 2008) VCR by Market Access Class Country High Med. Low Average Burundi 2.5 2 2 2.25 Kenya 2.75 2.25 1.5 2.25 Rwanda 2 1.5 1.5 1.75 Tanzania 3.25 2.75 1.25 2.5 Uganda 3 2 1.75 2 All 2.75 2.25 1.5 2.25
  • 20. WHERE TO INVEST? AG MARKET FINDER | marketfinder.info
  • 21. Demonstration* http://marketfinder.info *Please, FREE the network for a moment! WHERE TO INVEST? AG MARKET FINDER | marketfinder.info
  • 22.  SPAM* UPDATE  2000 ver.3  2005  AEZ UPDATE FOR SSA  HARVESTCHOICE DOMAIN  VISUALIZATIONS: GKS-2-HMNS *NO name change! THINGS KEEP US BUSY UPDATES
  • 23. Mashup Ingredients  Map data (e.g., Shapefile)  Map tiles using GMapCreator  Google Maps API  Base map  Interface  Marker  Reverse Geocoding  Overlaying tiles  Ajaxing using jQuery  Apache Web Server  Data tables in MySQL  Programming in PHP (CodeIgniter)  Google Chart API  Lots of Coffee DATA EXPLORATION AND VISUALIZATION DROPPR