The impacts of climate change are already being felt across Africa and governments are hard at work trying to build climate change into their agricultural and development agendas across the continent. Climate Smart Agriculture (CSA) is recognized as one of the ways of improving food security under climate change by building resilience into agricultural systems while capturing potential mitigation co-benefits.
Although CSA has been very prominent in global, regional and national policy discourse especially since the launch of the Global Alliance for CSA (GACSA Facilitation Unit is hosted by FAO), there is still an urgent need for a global database to help identify which practices are most likely to have CSA properties in varying circumstances by summarizing information on practices and technologies, the synergies and trade-offs among its 3 pillars (food security, adaptation, and mitigation) for a range of socioeconomic and agro ecological conditions, and the socio-ecological niches where CSA is or is not appropriate to calibrate expectations and guide development investments.
The World Agroforestry Centre (ICRAF), in collaboration with the CGIAR Research Program Climate Change, Agriculture, and Food Security (CCAFS) has been leading a project to address this need. The teams have been assembling a database of CSA-relevant literature to assess the scientific basis for proposed CSA practices such as agroforestry, intensifying animal diets, restoring degraded lands, etc. in terms of their effectiveness on the 3 ‘pillars’ of CSA, costs and benefits and constraints to adoption and uptake.
FAO-EPIC team has initiated a project to support this initiative by ICRAF/CCAFS and contribute to the creation of the CSA data-base as well as to extend it to cover more literature with a specific focus on socio-economic literature in Africa. This project contributes to the FAO’s Strategic Objective 1: “Contribute to the eradication of hunger, food insecurity and malnutrition.” Given the existing collaboration between FAO & CCAFS under the GACSA’s Knowledge Action Group on Integrated Planning & Monitoring, where the CSA database is featured as an output, this project has also obtained additional support from GACSA Facilitation Unit and the Mitigation of Climate Change in Agriculture (MICCA) team at the FAO.
The four consultants to be hired under these TORs will work together (under the supervision of the officer in charge mentioned above) to find, compile and analyse research on CSA. This will require literature search, evaluation, and data extraction leading to an extended database of evidence on CSA.
These consultancies offer an opportunity to contribute to a major global information platform, which is expected to become the largest database on CSA that will support evidence-based and targeted policy making at the sub-national, national, regional and global levels.
KEY PERFORMANCE INDICATORS
Training workshop held in Rome led by CCAFS collaborators
Priorities established for the literature screening and the existing
long-list of papers extended to include more relevant papers from the
applied economics literature.
160 papers per month (around 8/day) are critically evaluated and
· At the end of every month
data are compiled in MS excel.
A short mid-term progress report prepared on the issues that needed
to be addressed during the process
Screening and database compilation completed to contribute detailed
information on ~640 papers per consultant
A brief final report documenting the process of the work
30.11.2015 (end of
accomplished during the term of the contract.
- BSc + 4-5 years of experience or MA/MSc in a field related to: Agronomy, Agroecology, Environmental Science, Agricultural/Development or Applied Economics, Livestock Science, Landscape Ecology, Policy, International Agricultural Development, Horticulture.
- Knowledge of issues related to and preferably research experience on developing country agriculture and climate change mitigation and/or adaptation. Ability to understand scientific publications related to these topics.
- High proficiency in MS Excel.
- High proficiency in the English language.
- Hard working and attentive to detail.