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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

Up scaling Africa RISING Interventions using Development domains

Tunrayo Alabi

Geospatial Laboratory, IITA

outline of presentation
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
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
why development domain approach
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
Criteria for Development domains
  • The following 3 criteria were used
  • Agricultural Potential
  • Market access
  • Population density
agricultural potential
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
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 potential1
Agricultural Potential

Agric. potential

  • High: (LGP > 180 days )
  • Medium: (LGP 90-180 days
  • Low :(< 90 days)
market access
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 access1
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 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
Development Domain

27 Domain units produced

LLL : 30%

HLM : 11%

LLM : 10%

dev domain ghana
Dev. Domain Ghana

Africa RISING Intervention sites

In Ghana are in 3 regions

intervention sites in ghana domain
Intervention sites in Ghana & Domain

25 sites in Ghana falls within 5 Dev. Domains

hhh domain similarity
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
HLM Domain similarity

Natodori (Upper West)

Country (%)

Ghana 27.5

Nigeria 8.6

Guinea 49

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
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 Domain similarity

HMH occurrence

Country (%)

Ghana 4.4

Nigeria 4.9

West Africa 2.6

hmm domain similarity
HMM Domain similarity

HMH occurrence

Country (%)

Ghana 4.4

Nigeria 4.9

West Africa 2.6

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