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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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91 to 100 of 128 Results
Plain Text - 11.3 KB - MD5: adc4c719152fc39001c9cea1b3545afb
1. Infiltration
Infiltration data for Gishwati sentinel site - Rwanda
Tab-Delimited - 7.9 KB - MD5: f6d6f991d4c06ba080ff5a7ad4377d4e
6. Species-plot-matrix
Species-plot-matrix for Gishwati sentinel site- Rwanda
Plain Text - 221.9 KB - MD5: b9f24bda4e1d7dc976757aa5e5e537ea
4. LDSF data
LDSF data for Gishwati sentinel site- Rwanda
ZIP Archive - 4.0 MB - MD5: b4e00dab708d6674a816f0052277b498
Knowledge base
Meki Knowledge base
ZIP Archive - 4.3 MB - MD5: 8bc14187f264f55fa6ae8d2027623b2f
Knowledge base
Mojo Knowledge base
Adobe PDF - 6.0 MB - MD5: b016b06e5fc6082faa26fead621eb1b2
Report
Thesis on Local knowledge about tree management and impact of management on trees phenology in Oromiya region, Ethiopia
Adobe PDF - 213.8 KB - MD5: f876174a62c66ad334a0109b2a23c529
0. Disclaimer
Disclaimer for data use.
MS Excel Spreadsheet - 92.8 KB - MD5: 9ab1cf6e9aa9d0948a8b656eacdf8e01
Phenology data
Phenology raw data
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