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Multi-functional assessment of nutrition-sensitive landscapes
Nester Mashingaidze et al.
4 March 2015
Humidtropics
Introduction
• Vulnerable populations are often food insecure
• Food security:
– Sufficient calories
– Diverse nutrients
• Sources of food
– farm production
– market
– Landscape
• Nutrition-sensitive landscapes
– optimise production, NRM and nutrition
Objectives
1. Characterise the current landscape and
determine landscape performance in terms of
production, environmental outcomes and
nutrition.
2. Explore trade-offs and synergies of proposed
interventions at landscape level.
3. Identify and test entry points for improvements
in farming, diets and ecosystem services
provided by the landscape
Approach: InDEED Cycle
The case studies
• Western Kenya
– Densely populated (1 044 persons km-2)
– Food crops (maize, beans)
– Cash crops (tea, vegetables)
– Food insecurity, land degradation, poverty
• Northwest Vietnam
– Low smallholder agricultural productivity
– Degradation of natural resources
– Low income and access to markets
– Malnutrition
Site selection
1. Review of secondary sources & experts
2. Field visits to 10 sub-locations
- Mambai: tea-based & Masana: maize-based
3. Participatory mapping 4. Transect Walk
Landscapes in Vihiga County
• Mambai landscape
- river + ‘forest’
- Impactlite survey to
10 households
• Masana sub-location
- circumcision forest
-10 households
surveyed
Preliminary results
• Soil fertility Masana > Mambai
• Majority of land holdings < 0.5 ha
- Some Hhs had fields away from landscape
Mambai (50%) & Masana (30%)
• No major forests, nearby lakes or dams
• Hh size: Masana 5(±2.5) and Mambai 4.5 (±1.4)
Crop production
• Crop species: Mambai slightly > Masana
• Masana: maize > banana > napier
• Mambai: maize > tea > eucalyptus
• Vegetables < 0.04% of cropped area
Food – produced and purchased
• All farms produced food crops
– Beans purchase Masana > Mambai
– Banana purchase low
– Low consumption of traditional vegetables?
Way forward
• Building of farms into FarmDesign on-going
• Farms to be aggregated in LandscapeIMAGES
• Field visits for additional data collection
• Modeling and community feed backs
FarmDesign N cycle
Thank you
Insert photo here
. C. Timler 2014

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Multi-functional assessment of nutrition-sensitive landscapes

  • 1. Multi-functional assessment of nutrition-sensitive landscapes Nester Mashingaidze et al. 4 March 2015 Humidtropics
  • 2. Introduction • Vulnerable populations are often food insecure • Food security: – Sufficient calories – Diverse nutrients • Sources of food – farm production – market – Landscape • Nutrition-sensitive landscapes – optimise production, NRM and nutrition
  • 3. Objectives 1. Characterise the current landscape and determine landscape performance in terms of production, environmental outcomes and nutrition. 2. Explore trade-offs and synergies of proposed interventions at landscape level. 3. Identify and test entry points for improvements in farming, diets and ecosystem services provided by the landscape
  • 5. The case studies • Western Kenya – Densely populated (1 044 persons km-2) – Food crops (maize, beans) – Cash crops (tea, vegetables) – Food insecurity, land degradation, poverty • Northwest Vietnam – Low smallholder agricultural productivity – Degradation of natural resources – Low income and access to markets – Malnutrition
  • 6. Site selection 1. Review of secondary sources & experts 2. Field visits to 10 sub-locations - Mambai: tea-based & Masana: maize-based 3. Participatory mapping 4. Transect Walk
  • 7. Landscapes in Vihiga County • Mambai landscape - river + ‘forest’ - Impactlite survey to 10 households • Masana sub-location - circumcision forest -10 households surveyed
  • 8. Preliminary results • Soil fertility Masana > Mambai • Majority of land holdings < 0.5 ha - Some Hhs had fields away from landscape Mambai (50%) & Masana (30%) • No major forests, nearby lakes or dams • Hh size: Masana 5(±2.5) and Mambai 4.5 (±1.4)
  • 9. Crop production • Crop species: Mambai slightly > Masana • Masana: maize > banana > napier • Mambai: maize > tea > eucalyptus • Vegetables < 0.04% of cropped area
  • 10. Food – produced and purchased • All farms produced food crops – Beans purchase Masana > Mambai – Banana purchase low – Low consumption of traditional vegetables?
  • 11. Way forward • Building of farms into FarmDesign on-going • Farms to be aggregated in LandscapeIMAGES • Field visits for additional data collection • Modeling and community feed backs
  • 13. Thank you Insert photo here . C. Timler 2014

Notas do Editor

  1. Carl Timler 2/27/2015 perhaps also include other comparisons such as agro ecologies, population densities, topography, access to main roads/markets
  2. In mambai – 4/5 away fields under maize-bean, 2/5 fields under tea including farmer 7, Masana all3 hh with away fields under maize, 1 sweetpotato, woodlot Mambai – without tea farmer 1: employed at school farmer 7: small area within landscape, away field under tea Masana: maize 55%) > banana (18%) > napier (12%) Mambai: maize (37%) > tea (28%) > eucalyptus (22%) - Area under banana in Mambai quite low cfd to Masana - Napier (12%) in both highlighting the importance of livestocks in both sub-locations!