Up scaling africa rising interventions using development domains
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Up scaling Africa RISING Interventions using Development domains. Tunrayo Alabi Geospatial Laboratory, IITA. Outline of presentation. Concept of Development Domain Criteria for Development Domain Biophysical & Socioeconomic characteristics Domain map of West Africa

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Up scaling Africa RISING Interventions using Development domains

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Up scaling Africa RISING Interventions using Development domains

Tunrayo Alabi

Geospatial Laboratory, IITA


Outline of presentation

  • Concept of Development Domain

  • Criteria for Development Domain

    • Biophysical & Socioeconomic characteristics

  • Domain map of West Africa

  • Up scaling Research Results


Concept of Development Domain

  • Development domain is the spatial representation of factors important for agric. development

  • Characterized using stratification criteria

  • Reduce complexity by prioritizing criteria based on its influence on production.

  • Example of simple domain

    • Agroecological zone

    • Farming systems map


Farming systems


Why Development domain approach?

  • Domain helps to dissect/stratify the complex region into geographical units in which similar agricultural problems or opportunities are likely to occur

  • Where are those geographic areas in which development problems and opportunities are likely to be most similar?

  • Where else can a successful tested technologies be employed. Where else can we replicate successes (up-scaling research results)


Criteria for Development domains

  • The following 3 criteria were used

  • Agricultural Potential

  • Market access

  • Population density


Agricultural Potential

  • Agricultural potential of any location is a strong indicator of its absolute advantage in agricultural production

  • the extent to which this might actually be realized or its comparative advantage is conditioned by other factors such as market access and population density (Pender et al. 1999).

  • It is not a static concept but changes over time in response to changing natural conditions (e.g climate change) and human-induced conditions (e.gland degradation )


Length of Growing period

  • LGP was used to compute agric. Potential

  • Defined as the no of days in a year when sufficient water is available in the soil profile to support plant growth

  • It captures the complex interaction of rainfall, PET, temperature , solar radiation and soil properties.

  • It expresses the distribution of rainfall as well as its availability for crop growth when runoff and PET has been accounted for.


Agricultural Potential

Agric. potential

  • High: (LGP > 180 days )

  • Medium: (LGP 90-180 days

  • Low :(< 90 days)


Market access

  • Critical for determining the comparative advantage of a given location, given its agricultural potential.

  • It determines access to inputs and output outlets

  • e.g, a community with absolute advantage in producing perishable vegetables may have little or no comparative advantage (low profitability) in vegetable production if it is far from roads and markets.


Market access

  • Computing market access involves travel time based on landuse, roads, places with population > 10,000

  • High (< 2 hours); Medium (3-8 hours); Low (> 8 hours)


Population density

  • Population pressure affects the labor intensity of agriculture by affecting the land/laborratio

  • Influences innovations in technology

  • Markets & institutions /investments in agric

  • Population density is high in the coastal belt of WA

  • Medium are scattered all over

  • Low density are more in the northern belt of WA the region


Development Domain

27 Domain units produced

LLL : 30%

HLM : 11%

LLM : 10%


% Development domain WA


Dev. Domain Ghana

Africa RISING Intervention sites

In Ghana are in 3 regions


Intervention sites in Ghana & Domain

25 sites in Ghana falls within 5 Dev. Domains


HHH Domain similarity

Manguli &

Sabulungo

HHH occurrence

Country (%)

Ghana 9.8

Nigeria 10.4

West Africa 3.2

Research results from the

2 sites represent about 3.2%

of West Africa


HLM Domain similarity

Natodori (Upper West)

Country (%)

Ghana 27.5

Nigeria 8.6

Guinea49

Cote D’voire 34

West Africa 10.7

… represents about 11%

of west Africa and 49 % Guinea, 34 % of Cote d’voire


HLH Domain similarity

8 Sites in Wa West & Nadowli

HHH occurrence

Country (%)

Ghana 10

Nigeria 3.8

Guinea 23.3

Liberia 15

West Africa 4.5


HMH Domain similarity

HMH occurrence

Country (%)

Ghana 4.4

Nigeria 4.9

West Africa 2.6


HMM Domain similarity

HMH occurrence

Country (%)

Ghana 4.4

Nigeria 4.9

West Africa 2.6


Thanks for listening


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