integrating nutrition to systems research: through nutrition sensitive landscapes
TRANSCRIPT
Integrating nutrition to systems research: through Nutrition sensitive landscapes
Diets to Landscapes
Adequate dietary intake
Disease
Supporting servicesNutrient cycling Soil formationPrimary production
Ecosystems and their
biodiversity
Provisioning services Food: macronutrients, micronutrients, anti-nutritional factorsMedicinal productsFresh waterFuel wood
Regulatory services Climate regulationWater purificationDisease regulationPollinators
Cultural services Culinary traditionsRecreationalSpiritual
Human nutrition outcomes
FOOD
CARE
HEALTH
Human selection, marketing and consumption and
the impact of dietary choices on ecosystem functioning and
services
“The most important route to improved nutrition is, however, the diversification of diets – and delivering this outcome will require CGIAR to adopt new approaches.
It will be vital to increase our understanding of food systems from the consumers’ point of view and to place more emphasis on the development of value chains that can deliver nutrient-rich foods to poor consumers efficiently, at the same time as providing new opportunities for producers and processors.”
CO SRF, February, 2015
Addressing nutrition with diversified agriculture
Food-related causes
IMPROVED quality
HIGH diet diversity
UNDERNUTRITION
DIVERSIFIED AGRICULTURE PRACTICES
• Diet diversity has been shown to be a good predictor of dietary quality in young children
• Diet diversity is associated with stunting
(Moursi et al., 2008; Arimond and Ruel, 2004)Slide:Fanzo, J.
“Increased availability of diverse nutrient-rich foods can be achieved by introducing fruits, vegetables, livestock and fish into the farming system” CO SRF, 2015
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Nutrition Sensitive Landscapes
Working at the interaction between sustainability goals – also important in view of the SDGs and post 2015 development agenda
Improved natural resource systems & ecosystem services
Improved Food & Nutrition Security for
human health
Reducing poverty
Nutrition Sensitive Landscapes
Approach: Seasonal year-round access to diverse foodsSpatial, Temporal and gender analysisModeling scenariosParticipatory selection of interventionsScaling out of methods and tools
Zambia, Kenya and Vietnam
Central NSL hypotheses
• Diverse diets can lead to diverse landscapes• Environmental management and restoration of agricultural
landscapes can be a critical pathway to improving human nutrition and health
• Markets and value chains provide a means to trigger or accelerate such change
Environmentfarming & food
systems Human nutrition
& health
NSL approach and integration with AAS
THANK YOU
GOAL: meet human nutrient requirements through FOOD and DIET while also protecting the environment from where those foods are sourced.
Approach tries to optimize the multiple goals of food and nutrition security, sustainable use of natural resources and conservation of biodiversity, both for human health as well as environmental health.
Nutrition sensitive landscapes
ESS and Nutrition
• In what way can we look at current communities of species that form an ecosystem for the “provision of food”– Farm– Forest– Communal land spaces
• And how does provision of food (through ag practices) alter current ecosystem services
(+/-)
• Explore the ecosystem services within a given landscape that can contribute to nutrition
• Identify trade-offs and synergies between agricultural practices, nutrition and environment
• Promote solutions that are both environmentally sustainable and improve nutrition
Purpose of the research theme
Levels of information for the model1. Requirements of household membersUse: Compare hh nutrient requirements to food acquisition (own production + purchase) and simulate scenarios and assess trade offs2. Dietary diversity of all or selected HH membersUse: Assess trade-offs and develop best-bet scenarios *also key monitoring indicator for diet quality3. Quantitative dietary intakesUse: Quantify amount of food/food group currently consumed (in grams) and compare to requirements to assess gaps between current consumption and requirements and set upper and lower limits for modelling tradeoffs