TARGETING THE DAIRYVALUE CHAIN FOR TANZANIA   Mapping for site selection     Isabelle Baltenweck, An Notenbaert,        Je...
MilkIT and More Milk –                Site selection process•   LaF (Milk, meat & fish for the    poor by the poor) strata...
Targeting domains                       Peri-urban   Rural → urban       Urban center                   Peri-urban → urban...
MilkIT and More Milk –                Site selection process•   LaF (Milk, meat & fish for the     •   GIS-based spatial a...
Preliminary                                                                             version – work                    ...
Preliminary                                                                 version – work                                ...
Distribution of                       human population                               density inPreliminary                ...
Market accessPreliminaryversion – workin progressFigure 4: Travel time (hr) to the nearest town of   Figure 5: Travel time...
Preliminary                                       version – work                                          in progressFigur...
Figure 8:                        Bovine density inPreliminary                     Tanzaniaversion – workin progressFigure ...
Figure 8:                       Bovine density inPreliminary                    Tanzaniaversion – workin progressAreas wit...
Figure 13: Bovine milk                      production in TanzaniaPreliminaryversion – workin progressFigure 15: Surplus -...
Preliminary                                                                                    version – work             ...
Right: Mixed production                       systems with high                       population densities, and           ...
MilkIT and More Milk –                 Site selection process•   LaF (Milk, meat & fish for the     •   GIS-based spatial ...
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Targeting the dairy value chain for Tanzania: Mapping for site selection

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Presented by Isabelle Baltenweck, An Notenbaert, Jeannette van de Steeg and Brigitte Maass at the Smallholder Dairy Value Chain in Tanzania Stakeholder Meeting, Morogoro, Tanzania, 9 March 2012

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Targeting the dairy value chain for Tanzania: Mapping for site selection

  1. 1. TARGETING THE DAIRYVALUE CHAIN FOR TANZANIA Mapping for site selection Isabelle Baltenweck, An Notenbaert, Jeannette van de Steeg, et al. Presented by Brigitte Maass Morogoro, 9 March 2012
  2. 2. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the poor by the poor) strata to consider – Peri-urban – not to be considered for MilkIT project – Rural to urban – Rural to rural
  3. 3. Targeting domains Peri-urban Rural → urban Urban center Peri-urban → urbanRural → rural
  4. 4. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the • GIS-based spatial analysis poor by the poor) strata to – Cattle density → high density consider areas – Peri-urban – not to be – Poverty → high poverty areas considered for MilkIT project – Population → high population – Rural to urban areas – Rural to rural – Market access → good access areas – Production potential → high length of growth period (LGP) areas – Surplus vs. deficit areas → deficit areas where there is potential for increasing supply through feed interventions.
  5. 5. Preliminary version – work in progressFigure 1: Spatial distribution of livestock production systems in Tanzania
  6. 6. Preliminary version – work in progressFigure 2: Distribution of human population density in Tanzania
  7. 7. Distribution of human population density inPreliminary Tanzaniaversion – workin progressFigure 3: Distribution of the number of people Figure 4: Distribution of the number of peopleliving on less than $1.25 per day living on less than $2 per day
  8. 8. Market accessPreliminaryversion – workin progressFigure 4: Travel time (hr) to the nearest town of Figure 5: Travel time (hr) to local markets50,000 people in Tanzania
  9. 9. Preliminary version – work in progressFigure 8: Bovine density in Tanzania
  10. 10. Figure 8: Bovine density inPreliminary Tanzaniaversion – workin progressFigure 19: Length of growing period (in days) for Figure 11: Bovine feed requirements for milkTanzania production in Tanzania
  11. 11. Figure 8: Bovine density inPreliminary Tanzaniaversion – workin progressAreas with % of exotic cattle summarised by Areas with more than high % (>10%) of exoticregion cattle (dark blue) versus low % exotic (light blue)
  12. 12. Figure 13: Bovine milk production in TanzaniaPreliminaryversion – workin progressFigure 15: Surplus - deficit areas for milk Figure 7: Average bovine milk consumption inin Tanzania Tanzania
  13. 13. Preliminary version – work in progressMixed production systems with high population densities versus others (arid systems – light green;humid and temperate systems – dark green; others - grey) – The white areas are therefore areas in‘rangelands’ or hyper arid and/or areas with low pop densities
  14. 14. Right: Mixed production systems with high population densities, and low market access versus othersPreliminaryversion – work (arid systems – light green;in progress humid and temperate systems – dark green; others - grey) Rural production – Rural production – rural consumption urban consumptionColoured areas meet 3 conditions: farming systems, Coloured areas meet 3 conditions: farming systems,high human pop density and high market access (= high human pop density and high market access (=areas more than 5 hours from large urban centres) areas less than 5 hours from large urban centres)
  15. 15. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the • GIS-based spatial analysis poor by the poor) strata to – Cattle density → high density consider areas – Peri-urban – not to be – Poverty → high poverty areas considered for MilkIT project – Population → high population – Rural to urban areas – Rural to rural – Market access → good access areas – Production potential → high• Range of other, more length of growth period (LGP) qualitative criteria, e.g., areas – Proportion of improved cattle – Surplus vs. deficit areas → deficit areas where there is – Complimentary to other potential for increasing supply projects (create synergies), through feed interventions. e.g. IFAD – Potential partners/ stakeholders – Site-specific checklist

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