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Trees for Food Security Project (World Agroforestry Centre)
The aim of this project is to enhance food security for resource-poor rural people in Eastern Africa through research that underpins national programmes to scale up the use of trees within farming systems in Ethiopia and Rwanda and then scale out successes to relevant agro-ecological zones in Uganda and Burundi. The specific objectives of the project are: To characterize target farming landscapes and systems, and develop tools for matching species and management options to sites and circumstances. To generalize predictions of impacts of tree species and management on crop productivity, water resources and nutrients at field, farm and landscape scales to inform scaling up to improve food security and reduce climate risk. To develop effective methods and enabling environments for scaling up and out the adoption of trees on farms. To develop databases and tools for monitoring and evaluation of the impact of scaling up and out the adoption of trees on farms. To enhance capacity and connectivity of national partner institutions (including farmer groups) in developing and promoting locally appropriate options for adoption of farm trees.
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Long-Term Agroforestry Trial - Kenya(World Agroforestry Centre)
Long-Term Agroforestry Trial - Kenya logo
Apr 30, 2019
The Trees for Food Security (T4FS) project aims to enhance food security for resource-poor rural people in Eastern Africa through research that underpins national programmes to scale up the use of trees within farming systems. The long-term trial in Kenya is a collaborative resea...
MS Excel Spreadsheet - 74.9 KB - MD5: a753848b3856fcafc8728366a0580f0c
Tab-Delimited - 69.3 KB - MD5: 7ff7a63402ca7376e6188003ab8dfbc7
MS Excel Spreadsheet - 950.3 KB - MD5: d09882cfe00881b178dea97d178d8163
Tab-Delimited - 3.6 KB - MD5: 9fa7f164aab03dbd5ea64ebf140d5c3e
Tab-Delimited - 6.0 KB - MD5: 464e95c6f20ae65aac2eed9374e64d30
Aug 5, 2019 - Phenology scores
MS Excel Spreadsheet - 128.5 KB - MD5: ff8f0ac4d6f9e0284d6deb7220e789ec
Tab-Delimited - 1.0 KB - MD5: d28773de8b93a537bfd2edc6c804ef27
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