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
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Targeting the dairy value chain for Tanzania: Mapping for site selection
1. 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
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
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. Preliminary
version – work
in progress
Figure 1: Spatial distribution of livestock production systems in Tanzania
6. Preliminary
version – work
in progress
Figure 2: Distribution of human population density in Tanzania
7. Distribution of
human population
density in
Preliminary Tanzania
version – work
in progress
Figure 3: Distribution of the number of people Figure 4: Distribution of the number of people
living on less than $1.25 per day living on less than $2 per day
8. Market access
Preliminary
version – work
in progress
Figure 4: Travel time (hr) to the nearest town of Figure 5: Travel time (hr) to local markets
50,000 people in Tanzania
9. Preliminary
version – work
in progress
Figure 8: Bovine density in Tanzania
10. Figure 8:
Bovine density in
Preliminary Tanzania
version – work
in progress
Figure 19: Length of growing period (in days) for Figure 11: Bovine feed requirements for milk
Tanzania production in Tanzania
11. Figure 8:
Bovine density in
Preliminary Tanzania
version – work
in progress
Areas with % of exotic cattle summarised by Areas with more than high % (>10%) of exotic
region cattle (dark blue) versus low % exotic (light blue)
12. Figure 13: Bovine milk
production in Tanzania
Preliminary
version – work
in progress
Figure 15: Surplus - deficit areas for milk Figure 7: Average bovine milk consumption in
in Tanzania Tanzania
13. Preliminary
version – work
in progress
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
14. Right: Mixed production
systems with high
population densities, and
low market access
versus others
Preliminary
version – work
(arid systems – light green;
in progress humid and temperate
systems – dark green;
others - grey)
Rural production – Rural production –
rural consumption urban consumption
Coloured 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. 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