Climate Risk Management Through Sustainable Land Management in Sub-Saharan Africa

Empirical evidence has shown that farmers can adapt to climate change by using sustainable land and water management (SLWM) practices that provide local mitigation benefits, reducing or offsetting the negative effects of climate change at the level of the plot, farm, or even landscape. However, adaptation to climate change using SLWM practices in sub-Saharan Africa (SSA) remains low. This study was conducted to examine the impact of government policies on adaptation to climate change.

Potential Impact of Investments in Drought Tolerant Maize in Africa

The study evaluates the potential impacts of the Drought Tolerant Maize for Africa (DTMA) project run by CIMMYT and the International Institute for Tropical Agriculture (IITA) in 13 countries of eastern, southern and West Africa: Angola, Benin, Ethiopia, Kenya, Malawi, Mali, Mozambique, Nigeria, Tanzania, Uganda, ambia, and Zimbabwe and Ghana.

Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach

Agricultural production statistics reported at country or sub-national geopolitical scales are used in a wide range of economic analyses, and spatially explicit (geo-referenced) production data are increasingly needed to support improved approaches to the planning and implementation of agricultural development. However, it is extremely challenging to compile and maintain collections of sub-national crop production data, particularly for poorer regions of the world.

Assessing the Potential Impact of Selected Technologies on the Banana Industry in Uganda

In this chapter, an economic surplus approach is applied to assess the potential impact of a range of current and emerging technologies.

Elements of the Conceptual Framework and Sample Survey Design

This chapter presents specific questions posed in this research, elements of the conceptual framework, and a synopsis of the sample design. Two levels of observation and

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