Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

The goal of the project is to reduce food insecurity and improve livelihoods of poor people living in African drylands by restoring degraded land, and returning it to effective and sustainable tree, crop and livestock production, thereby increasing land profitability and landscape and livelihood resilience. The project will achieve its five interrelated objectives (listed below) through the Iterative impact pathway that directly engages with development partners to accelerate impact.

1. Lessons Learned and Best Practice (Output 1): to identify and articulate lessons learned and develop good practice guidelines for restoring productive capacity of drylands through critical review of experience at five contrasting sites in Africa, and literature on past successes and failures.
2. Proof of Application (Outputs 1, 2 &3): to obtain detailed information on the impacts of land restoration on ecosystem services and livelihoods through action research involving multiple stakeholders, providing feedback for refinement of tools for scaling up land restoration at five contrasting sites.
3. Tools, Methods and Guidelines for Scaling Up (Outputs 2 & 3): to develop and test a set of tools, methods and guidelines for scaling up successes in land restoration for profitable and sustained land management. Targeting combinations of options to local circumstances and embedding structured learning within development initiatives.
4. Tools, Methods and Guidelines for Scaling Out (Outputs 3 &4): to identify areas suitable for out-scaling based on lessons learned through the review of experience and literature and the implementation of tools, methods and guidelines in the up-scaling process. The learning process is iterative and feeds into continual refinement of these tools, methods and guidelines.
5. Knowledge management, dissemination and capacity development (Output 5): to convert the empirical knowledge generated by the program into knowledge products and make these globally available while involving all program actors interactively in knowledge development leading to knowledge exchange and capacity strengthening.
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 1 of 1 Result
Feb 6, 2019
Winowiecki, Leigh;SInclair, Fergus, 2016, "Restoration of degraded land for food security and poverty reduction in East Africa and the Sahel: taking successes in land restoration to scale", https://doi.org/10.34725/DVN/SBL27O, World Agroforestry - Research Data Repository, V7
This document provides background information on the IFAD-funded project titled, "Restoration of degraded land for food security and poverty reduction in East Africa and the Sahel: taking successes in land restoration to scale".
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