Summary
Malnutrition affects one in three people across the world and is the number one risk factor in the global burden of diseases. Inadequate intake of fruits and vegetables is a key component of low quality diets, especially in Sub-Saharan Africa. Trees are a source of nutrient-rich fruits and leafy vegetables – and research shows that one promising solution to Africa’s malnutrition problem is to increase the planting of trees that provide nutritious fruits and vegetables. Currently, many countries in Sub-Saharan Africa are adopting large-scale tree planting programs as a climate mitigation strategy and to improve local livelihoods. As such, trees can provide a triple-win solution for nutrition, conservation and climate goals. However, the agencies and NGOs implementing these tree-planting programs often lack the necessary research and knowledge on which species to plant to maximize benefits for both the environment and people. Here, we will develop a ‘Forest and Trees Toolkit’ that can be used by extension workers and NGOs to make more targeted tree planting programs that also optimize people’s nutrition – thereby creating triple-win outcomes for nutrition, conservation, and climate goals. The toolkit will consist of; 1) a knowledge platform hosting information on nutritionally important tree species across areas and contexts, 2) an app to generate tree species portfolios adapted to local contexts, and 3) a user manual on how to use the app, including information on how to do live tree portfolio demonstration plots in community areas so that farmers can adopt the trees on their own farms. In short, the toolkit will be able to identify location-specific combinations of tree species that address month-on-month harvest (fruits and vegetables) and micronutrient gaps in local households’ diets. The development of the toolkit will be based on a unique high quality interdisciplinary dataset that we have collected and compiled during the ERC project FORESTDIET.
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| Web resources: | https://cordis.europa.eu/project/id/101138338 |
| Start date: | 01-10-2023 |
| End date: | 31-03-2025 |
| Total budget - Public funding: | - 150 000,00 Euro |
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Original description
Malnutrition affects one in three people across the world and is the number one risk factor in the global burden of diseases. Inadequate intake of fruits and vegetables is a key component of low quality diets, especially in Sub-Saharan Africa. Trees are a source of nutrient-rich fruits and leafy vegetables – and research shows that one promising solution to Africa’s malnutrition problem is to increase the planting of trees that provide nutritious fruits and vegetables. Currently, many countries in Sub-Saharan Africa are adopting large-scale tree planting programs as a climate mitigation strategy and to improve local livelihoods. As such, trees can provide a triple-win solution for nutrition, conservation and climate goals. However, the agencies and NGOs implementing these tree-planting programs often lack the necessary research and knowledge on which species to plant to maximize benefits for both the environment and people. Here, we will develop a ‘Forest and Trees Toolkit’ that can be used by extension workers and NGOs to make more targeted tree planting programs that also optimize people’s nutrition – thereby creating triple-win outcomes for nutrition, conservation, and climate goals. The toolkit will consist of; 1) a knowledge platform hosting information on nutritionally important tree species across areas and contexts, 2) an app to generate tree species portfolios adapted to local contexts, and 3) a user manual on how to use the app, including information on how to do live tree portfolio demonstration plots in community areas so that farmers can adopt the trees on their own farms. In short, the toolkit will be able to identify location-specific combinations of tree species that address month-on-month harvest (fruits and vegetables) and micronutrient gaps in local households’ diets. The development of the toolkit will be based on a unique high quality interdisciplinary dataset that we have collected and compiled during the ERC project FORESTDIET.Status
SIGNEDCall topic
ERC-2023-POCUpdate Date
12-03-2024
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