This report is part of the AFRHINET project under the ACP-EU Cooperation Programme in Science and Technology (S&T II). The overall aims of the project are to enhance options for sustainable integration of rainwater harvesting for irrigation through understanding adoption constraints and developing networks for capacity building and technology transfer. The African partners are Addis Ababa University and WaterAid-Ethiopia in Ethiopia, University of Nairobi and ICRAF-Searnet in Kenya, Eduardo Mondlane University in Mozambique, and University of Zimbabwe and ICRISAT-Zimbabwe in Zimbabwe.
This study has been produced with the overall goal to document and analyse exisiting best practices in the field of RWHI management in sub-Saharan Africa, with a special focus on Ethiopia, Kenya, Mozambique and Zimbabwe. This is meant to determine the suitability of RWHI management under multivariate biophysical and socioeconomic conditions. The best practices include specific information and know-how on the performance, cost-efficiency and impacts of RWHI technologies.
These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.
These training materials have been produced to foster the capacity of key members of local communities to practically implement RWHI systems in a cost-efficient manner. The specific target group of these capacity building materials are local community members who are directly involved in the replication and scale-up of RWHI technologies and practices, i.e.
L’agriculture familiale est l’une des formes d’organisation de l’agriculture à travers le monde. Elle se décline en fait en une multiplicité de types concrets repérables au niveau des exploitations agricoles .
La complexité des facteurs de la migration rurale en ASS rend impossible la prévision du nombre de personnes qui migreront et pourquoi, ni qui elles seront, ni où elles iront. Pourtant, il est possible d’explorer comment ce système complexe de forces interdépendantes pourrait évoluer, de prendre des décisions proactives et d’agir pour construire le futur. Il est peu probable que les migrants ruraux d’ASS soient dans une position favorable pour émigrer hors d’Afrique, ce qui pose un grand défi pour la prospérité future du continent : migration par nécessité ou par choix ?
The SALSA project aims at assessing the current and future role of small farms and related small food businesses in contributing to sustainable food and nutrition security at regional level in Europe and in selected African regions, and to identify the conditions for them to meet the demand for food in an increasingly populated and resource-constrained world.
In the SALSA project, transdisciplinarity means a process of integration of knowledge between researchers belonging to different disciplines (in our case, sociology, economics, anthropology, geography) and with non-academic actors such as NGOs members, innovation brokers, policy makers). The role of transdisciplinary theory building within SALSA is to link diverse areas of knowledge through a co-constructed conceptual framework in order to underpin effective action towards improved FNS.
This report represents findings on the role of women in small-scale farming (defined as farms up to 5 ha or 8 ESU), particularly in relation to governance frameworks associated with food and nutrition security. It follows SALSA Deliverable 5.1, which assesses the governance arrangements which impact upon small-scale farms and small food businesses. Both reports utilise the data collected in SALSA WP3 (In-depth assessment of food systems in 30 regions).