targeting the dairy value chain for tanzania: mapping for site selection
DESCRIPTION
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 2012TRANSCRIPT
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TARGETING THE DAIRY VALUE 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
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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
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Targeting domains
Peri-urban
Urban center
Rural → rural
Rural → urban
Peri-urban → urban
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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
• GIS-based spatial analysis – Cattle density → high density
areas – Poverty → high poverty areas – Population → high population
areas– 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.
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Figure 1: Spatial distribution of livestock production systems in Tanzania
Preliminary version – work
in progress
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Figure 2: Distribution of human population density in Tanzania
Preliminary version – work
in progress
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Distribution of human population
density in Tanzania
Figure 3: Distribution of the number of people living on less than $1.25 per day
Figure 4: Distribution of the number of people living on less than $2 per day
Preliminary version – work in progress
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Figure 4: Travel time (hr) to the nearest town of 50,000 people in Tanzania
Figure 5: Travel time (hr) to local markets
Market access
Preliminary version – work in progress
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Figure 8: Bovine density in Tanzania
Preliminary version – work
in progress
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Figure 11: Bovine feed requirements for milk production in Tanzania
Figure 19: Length of growing period (in days) for Tanzania
Figure 8: Bovine density in
TanzaniaPreliminary version – work in progress
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Areas with more than high % (>10%) of exotic cattle (dark blue) versus low % exotic (light blue)
Areas with % of exotic cattle summarised by region
Figure 8: Bovine density in
TanzaniaPreliminary version – work in progress
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Figure 13: Bovine milk production in Tanzania
Figure 7: Average bovine milk consumption in Tanzania
Figure 15: Surplus - deficit areas for milk in Tanzania
Preliminary version – work in progress
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Mixed 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
Preliminary version – work
in progress
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Right: Mixed production systems with high population densities, and low market access versus others (arid systems – light green; humid and temperate systems – dark green; others - grey)
Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas more than 5 hours from large urban centres)
Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas less than 5 hours from large urban centres)
Rural production –rural consumption
Rural production –urban consumption
Preliminary version – work in progress
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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
• Range of other, more qualitative criteria, e.g., – Proportion of improved cattle – Complimentary to other
projects (create synergies), e.g. IFAD
– Potential partners/ stakeholders
– Site-specific checklist
• GIS-based spatial analysis – Cattle density → high density
areas – Poverty → high poverty areas – Population → high population
areas– 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.