Impacts of climate variability and change on agricultural systems in Eastern Africa while enhancing the region’s capacity to undertake integrated assessment of vulnerabilities to future changes in climate
The overall goal of the project is to conduct a systematic, comprehensive, and quantitative
assessment of impacts of climate variability and change on agricultural systems
that explicitly address the farm, local, national, and regional level impacts and
identifies adaptation options with due consideration to the interactions between the
key variables of climate, crop, and socio-economics in Eastern Africa. Operating
from within the framework of the AgMIP global project, it works toward establishing
country and regional teams with climate, crop and economic modelers and IT
experts, enhancing their skills in the use and application of new science tools and
conducting comprehensive assessment of impacts, vulnerabilities and adaptation
options, applying cutting-edge science and interdisciplinary knowledge.
Teams of climate, crop, and economic modelers in Ethiopia, Kenya, Tanzania
and Uganda are assessing the impact of climate change on important crops utilizing
the AgMIP Protocols (Fig.). The project utilizes climate, crop and economic
data to calibrate and validate models across a wide range of conditions for Eastern
Africa. The integrated analysis of model results will enable systematic assessment of
variable and changing climate on agricultural systems. Knowledge of likely climate
impacts enables decision-makers to consider options for managing negative impacts
and for capitalizing on favorable conditions.
The AgMIP Eastern Africa Project is coordinated by Dr. K.P.C Rao, Principal
Scientist of ICRISAT–Nairobi, with assistance from Dr. M. Tenywa of Makerere
University,Uganda.Key research staff include Drs. B.Wafula, of Kenya Agriculture
Research Institute; E. Mpeta of Sokoine University of Agriculture, Tanzania; and,
A.A. Berhe of Mekelle University, Ethiopia.
In addition to in-country research, regular exchange of information will occur
between country teams through training activities aimed to enhance skills needed
to undertake the work. This includes hands-on sessions in data assessment and
management, use of models and other tools, and write-up of results. It also includes
training on methods for regional integrated assessments utilizing information from
climate, crop, and economic models.