farming systems analysis: tanzania, malawi and zambia

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Farming systems analysis Tanzania, Malawi and Zambia Jeroen Groot Wageningen University Africa RISING ESA Review and Planning Meeting, Arusha, Tanzania, 9-11 September 2014

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Presented by Jeroen Groot (Wageningen University) at the Africa RISING ESA Review and Planning Meeting, Arusha, Tanzania, 9-11 September 2014

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Page 1: Farming systems analysis: Tanzania, Malawi and Zambia

Farming systems analysisTanzania, Malawi and Zambia

Jeroen GrootWageningen University

Africa RISING ESA Review and Planning Meeting,Arusha, Tanzania, 9-11 September 2014

Page 2: Farming systems analysis: Tanzania, Malawi and Zambia

Systems analysisBoundary

Components (or sub-systems)

Interrelationships

Output(s)

Input(s)

Structure Relationships Processes Functions

Page 3: Farming systems analysis: Tanzania, Malawi and Zambia

DiversitySystem X

System Y

Structure Relationships Processes Functions

Page 4: Farming systems analysis: Tanzania, Malawi and Zambia

NestedStructure Relationships Processes Functions

Page 5: Farming systems analysis: Tanzania, Malawi and Zambia

Animal

Animal product

Crop product

Manure

Fertilizer

Feed intake

Bedding andfeed losses

Greenmanures

Cropnutrient uptake

Faeces and urineproduction

Manureapplication

Fertilizerapplication

Importedcrop products

Exportedcrop products

Exportedanimal products

Exported manureand losses

Importedfertilizers

Soil

Crop

Atmosphericinputs

Soil losses andaccumulation

Page 6: Farming systems analysis: Tanzania, Malawi and Zambia

Methodology

Rapid characteriz.

Detailed description

Explorationinnovations

TypologySystems

(re)design

Diagnosis Tradeoff analysis

Innovations

Page 7: Farming systems analysis: Tanzania, Malawi and Zambia

Tanzania• Babati, Kongwa & Kiteto• 240 farms; detailed: 15 farms

Malawi• Dedza, Ntcheu• 80 farms; detailed: 12 farms

Zambia• Chipata, Katete, Lundazi• 800 farms (SIMLEZA baseline survey); detailed: 15 farms

Locations in ESA

Page 8: Farming systems analysis: Tanzania, Malawi and Zambia

Typology Zambia

Page 9: Farming systems analysis: Tanzania, Malawi and Zambia

Typology Zambia – farm size

Page 10: Farming systems analysis: Tanzania, Malawi and Zambia

Type 1 (LRE) Type 5 (HRE)

Page 11: Farming systems analysis: Tanzania, Malawi and Zambia

Farmer motivations and objectives

Page 12: Farming systems analysis: Tanzania, Malawi and Zambia

Exploration: what-if options

Innovations

Crop areas

Residue use

Animal feeding

Animal numbers

Consequences

Profit

Labor

Soil org. matter

Nutrient losses

Page 13: Farming systems analysis: Tanzania, Malawi and Zambia

Farmer objectives, constraints

Input-output relations of current and innovative (EP’s) agricultural activities, e.g.:• Input levels (cv’s, fertilizers, tillage, etc.), efficiencies• Productivity and composition, use of products• Post-harvest losses and processes• Labor requirements and availability• Costs and prices• Etc.

Needed knowledge and data

Page 14: Farming systems analysis: Tanzania, Malawi and Zambia

Exploration: many what-if options

Page 15: Farming systems analysis: Tanzania, Malawi and Zambia

Gender

Page 16: Farming systems analysis: Tanzania, Malawi and Zambia

Human nutrition

Animal

Crop

Animal product

Crop product

Nutrient content

Nutrient

Person

Nutrient requirem.

1 1 1 n

n n n 1

n

1

Page 17: Farming systems analysis: Tanzania, Malawi and Zambia

Visualization

Page 18: Farming systems analysis: Tanzania, Malawi and Zambia
Page 19: Farming systems analysis: Tanzania, Malawi and Zambia

Sustainable development

Vision

Page 20: Farming systems analysis: Tanzania, Malawi and Zambia

EnvironmentalVegetation coverWater

HumanHealth, nutritionSelf-determinationHappiness

EconomicIncomeCapital

SocialConnectedness

Equity

Sustainable development indicators

Page 21: Farming systems analysis: Tanzania, Malawi and Zambia

ESA – Isaac Jambo, advisors: Pablo Tittonell, Mateete Bekunda, Jeroen Groot, Katrien Descheemaeker

Participatory integration and model-based exploration, building on existing and new data from surveys, experiments, group discussions, etc.

WA – Frederick Ogoro, advisors: Ken Giller, Asamoah Larbi, Katrien Descheemaeker, Jeroen Groot

2 new IITA-WUR PhD students

Page 22: Farming systems analysis: Tanzania, Malawi and Zambia

Africa Research in Sustainable Intensification for the Next Generation

africa-rising.net

Thank you for your [email protected]

Page 23: Farming systems analysis: Tanzania, Malawi and Zambia
Page 24: Farming systems analysis: Tanzania, Malawi and Zambia

SystemBoundary

Components (or sub-systems)

Interrelationships

Output(s)Input(s)

Page 25: Farming systems analysis: Tanzania, Malawi and Zambia
Page 26: Farming systems analysis: Tanzania, Malawi and Zambia

System

Page 27: Farming systems analysis: Tanzania, Malawi and Zambia

Source: www.thenaturalstep.org

Sustainable development

Page 28: Farming systems analysis: Tanzania, Malawi and Zambia

Source: www.thenaturalstep.org

Sustainable development steps

Towards vision

Flexible

Return on investment $

Vision

Page 29: Farming systems analysis: Tanzania, Malawi and Zambia

Sustainable development