A farm-level analysis of carbon sequestration in Ghana using IMPACT linked to the DSSAT-Century, Household and Ruminant models

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A presentation prepared by González-Estrada, E.; Walen, V.K.; Naab, J.; Thornton, P.K. and Herrero, M. for the Regional Scientific Workshop on Land Management for Carbon Sequestration organized by SANREM-CRSP, SM-CRSP, IER and NASA. Bamako, Mali. February 26-27, 2004.

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A farm-level analysis for carbon sequestration in Ghana using IMPACT linked with the DSSAT , Household and Ruminant models E. González-Estrada 1 , V.K. Walen 2 , J. Naab 3 , P.K. Thornton 1 and M. Herrero 1 1 International Livestock Research Institute , PO Box 30709, Nairobi, Kenya 2 University of Florida , PO Box 110570, Gainesville, FL, USA 3 Savanna Agricultural Research Institute , PO Box 494, Wa, Upper West Region, Ghana

Case study: CRSP-SM field trials in Wa, Upper West region of Ghana Objective: Explore the role of crop-livestock interactions in the carbon dynamics at the farm level

IMPACT I ntegrated M odelling P latform for Mixed A nimal- C rop Sys t ems Framework Household Optimization Model Multiple-Criteria linear programming DSSAT Crops Ruminant Livestock

Case study Piisi, Upper West Region, Ghana Household size: 12 (5 adults & 7 children) Plot ID Size Crop 1 0.8 ha Groundnuts 2 1.6 ha Rice 3 1.2 ha Millet Cowpea Sorghum 4 0.3 ha Bambara nuts 5 0.6 ha Yams 6 0.4 ha Maize

Case study – 2- Livestock Number Cattle 2 Sheep 3 Goats 2 Pigs 3 Chicken 15 Guinea fowl 8

IMPACT’s base line scenario analysis: Net income : 160 USD Total carbon balance in agricultural land (Inputs-Outputs) : -3219 kg Food security status : Low energy and protein intake during June-October

IMPACT Integrated Modelling Platform for Mixed Animal-Crop Systems Household Optimization Model Multiple-Criteria linear programming Framework DSSAT Crops Ruminant Livestock

ILRI’s household model: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ILRI’s household model - constraints -

HH model Output 1. Food security - Role of livestock within the system - ,[object Object],[object Object],[object Object],[object Object],Optimised management (food security achieved throughout the year, no land-use changes) : Two tropical livestock units (TLU) are sold to generate cash to “buy food security”.

HH model Output 2. Maximize net income ,[object Object],[object Object],[object Object],[object Object],[object Object]

HH model Output 3. Maximize carbon fixation Net income : 96 USD (-40%) Total carbon balance in agricultural Land (Inputs-Outputs) : 1930 kg Food security : Achieved “ Where is my Fufu???” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Current land use ,[object Object],[object Object],[object Object],[object Object],Optimized land use

Back to: HH model Output 1. - Role of livestock within the system - ,[object Object],[object Object],[object Object],[object Object],Optimised scenario by the household model (food security achieved throughout the year, no land-use changes) : Two tropical livestock units (TLU) are sold to generate cash to “buy food security”.

Some more on the role of livestock within the system and carbon sequestration ,[object Object],[object Object],[object Object],Simulate grain yield in response to maize stover incorporated to the soil DSSAT-Century Simulate TLU maintenance in response to maize stover availability Ruminant

Rainfall distribution in Wa, and its effect on fodder resources utilization Homestead native fodder Maize stover

Trade-off analysis by simulated output of number of TLU vs grain yield Grain yield Number of TLU

Conclusion Is the household of this case study ready for adopting technologies to improve carbon sequestration? Household level analyses for priority setting Produce a household typology for a given ecoregion Identify farm types that are capable to modify management strategies towards a better use of carbon

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A farm-level analysis of carbon sequestration in Ghana using IMPACT linked to the DSSAT-Century, Household and Ruminant models

1. A farm-level analysis for carbon sequestration in Ghana using IMPACT linked with the DSSAT , Household and Ruminant models E. González-Estrada 1 , V.K. Walen 2 , J. Naab 3 , P.K. Thornton 1 and M. Herrero 1 1 International Livestock Research Institute , PO Box 30709, Nairobi, Kenya 2 University of Florida , PO Box 110570, Gainesville, FL, USA 3 Savanna Agricultural Research Institute , PO Box 494, Wa, Upper West Region, Ghana

2. Case study: CRSP-SM field trials in Wa, Upper West region of Ghana Objective: Explore the role of crop-livestock interactions in the carbon dynamics at the farm level

3. IMPACT I ntegrated M odelling P latform for Mixed A nimal- C rop Sys t ems Framework Household Optimization Model Multiple-Criteria linear programming DSSAT Crops Ruminant Livestock

5. Case study Piisi, Upper West Region, Ghana Household size: 12 (5 adults & 7 children) Plot ID Size Crop 1 0.8 ha Groundnuts 2 1.6 ha Rice 3 1.2 ha Millet Cowpea Sorghum 4 0.3 ha Bambara nuts 5 0.6 ha Yams 6 0.4 ha Maize

6. Case study – 2- Livestock Number Cattle 2 Sheep 3 Goats 2 Pigs 3 Chicken 15 Guinea fowl 8

7. IMPACT’s base line scenario analysis: Net income : 160 USD Total carbon balance in agricultural land (Inputs-Outputs) : -3219 kg Food security status : Low energy and protein intake during June-October

8. IMPACT Integrated Modelling Platform for Mixed Animal-Crop Systems Household Optimization Model Multiple-Criteria linear programming Framework DSSAT Crops Ruminant Livestock

10.

11.

12.

13.

14.

15.

16. Rainfall distribution in Wa, and its effect on fodder resources utilization Homestead native fodder Maize stover

17. Trade-off analysis by simulated output of number of TLU vs grain yield Grain yield Number of TLU

18. Conclusion Is the household of this case study ready for adopting technologies to improve carbon sequestration? Household level analyses for priority setting Produce a household typology for a given ecoregion Identify farm types that are capable to modify management strategies towards a better use of carbon

19. La fin Merci!

A farm-level analysis of carbon sequestration in Ghana using IMPACT linked to the DSSAT-Century, Household and Ruminant models

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