Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

1 to 10 of 35 Results
Aug 6, 2019
Kuria, Anne, 2018, "Local knowledge of farmers on drivers and effects of tree cover change in Gobu Sayo woreda, East Wollega, Ethiopia", https://doi.org/10.34725/DVN/CNOGRB, World Agroforestry - Research Data Repository, V1
In a study conducted in Gobu Sayo woreda, Ongobo bakanisa kebele. Farmers identified 2 key drivers of land use change which had a huge impact on shaping the community. These changes took place during the Derg regime between 1974-1991 (1967 to 1983 Ethiopian Calendar). These are:...
Aug 6, 2019
Cronin, Martha, 2018, "Local agro-ecological knowledge of farmers in Bugesera District, Rwanda", https://doi.org/10.34725/DVN/T0PES0, World Agroforestry - Research Data Repository, V1
This is a data set and a report on local agro-ecological knowledge of farmers in Bugesera District, Rwanda
Aug 6, 2019
Kinuthia, Ruth;Kiptot, Evelyne;Derero, Abayneh;Kiros, Hadgu;Muthuri, Catherine, 2018, "Trees for Food Security Project participatory trials follow up study in Ethiopia", https://doi.org/10.34725/DVN/UYX3XG, World Agroforestry - Research Data Repository, V1, UNF:6:sJU3O9Pa6ueNy/XiRY//qw== [fileUNF]
A survey was conducted in 2014 to determine farmers’ perception on the agroforestry trials established under the Australian Centre for International Agricultural Research (ACIAR) funded ‘Trees for Food Security’ (T4FS) project in Ethiopia. The trials form part of Work Package (WP...
Aug 6, 2019
Kuria, Anne, 2018, "Incorporating local knowledge of food security leads to the design of appropriate food policies", https://doi.org/10.34725/DVN/NIMBZQ, World Agroforestry - Research Data Repository, V1
This data set contains data on a study titled 'Incorporating local knowledge of food security leads to the design of appropriate food policies'
Aug 6, 2019
Kinuthia, Ruth;Kiptot, Evelyne;Mutaganda, Amini;Mukularinda Athanase, 2018, "Trees for Food Security Project participatory trials follow up study in Rwanda", https://doi.org/10.34725/DVN/GQEKGS, World Agroforestry - Research Data Repository, V1, UNF:6:dZ9+LdJKm7lvWdoJqietCQ== [fileUNF]
A survey was conducted in 2014 to determine farmers’ perception on the agroforestry trials established under the Australian Centre for International Agricultural Research (ACIAR) funded ‘Trees for Food Security’ (T4FS) project in Rwanda. The trials form part of Work Package (WP)...
Aug 6, 2019
Jalilian, Rostami Ayda, 2014, "Trees for Food Security Project-Local Knowledge-Tree management and impact of management on trees’ phenology in Oromiya region, Ethiopia", https://doi.org/10.34725/DVN/25245, World Agroforestry - Research Data Repository, V1
The research investigated the impact of management on the phenology of Acacia tortilis, Faidherbia albida, Croton macrostachyus, Dichrostachys cinerea and Ziziphus mucronata. The trees were selected, as they were dominant species, in two sites in a parkland system in Oromiya regi...
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius;Muthuri, Catherine, 2019, "Plot soil nutrient analyzed data", https://doi.org/10.34725/DVN/F1ZLCU, World Agroforestry - Research Data Repository, V1, UNF:6:d3L6exQ6RFgyn6sdOqwDqg== [fileUNF]
Pooled samples from plots used to characterize soil nutrient status before introduction of agroforestry treatments
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius;Muthuri, Catherine, 2019, "Phenology scores", https://doi.org/10.34725/DVN/FRVHOX, World Agroforestry - Research Data Repository, V1
Leafing phenology (leaf flush and fall) scores were recorded for the period between Dec 2012 and March 2016
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius;Muthuri, Catherine, 2019, "Maize yield for 2012_2013 and 2013_2014 short rains", https://doi.org/10.34725/DVN/RSRJG9, World Agroforestry - Research Data Repository, V1, UNF:6:h4zHVoBUzNa6XPAtyAX64w== [fileUNF]
Maize productivity before tree influence was recorded to determine other factors contributing to yield variability (rainfall and soil variability)
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius;Muthuri, Catherine, 2019, "Maize yield 2015_2016 short rains", https://doi.org/10.34725/DVN/KLG19F, World Agroforestry - Research Data Repository, V1, UNF:6:eHaubchM2/n8y+gJz2sy+Q== [fileUNF]
Maize productivity was measured adjacent and away from tree rows to determine influence of trees on crop productivity
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact World Agroforestry - Research Data Repository Support

World Agroforestry - Research Data Repository Support

Please fill this out to prove you are not a robot.

+ =
Send Message