This report highlights the experience of three pioneering countries -  Nepal, Peru and Uganda - where governments and civil society have joined hands, supported by the German Government’s International Climate Initiative, and worked with implementing partners UNDP, UNEP and IUCN, in piloting new approaches through the Mountain EbA Programme.

It suggests that the Mountain EbA programme has also facilitated a number of key interventions at the global scale, and has generated new evidence on the cost-effectiveness of ecosystem-based adaptation options.

Key proposed areas of focus for REEEP funding in Africa.

According to this article, analyses of in situ station data and satellite observations of precipitation have identified another problematic trend: main growing-season rainfall receipts have diminished by 15% in food-insecure countries clustered along the western rim of the Indian Ocean. Occurring during the main growing seasons in poor countries that depend on rain-fed agriculture, these declines are societally dangerous.

Farming systems are an example of complex, social and ecological systems that are dynamic, and operate across multiple temporal and spatial scales – from individual to global levels. Unlike typical studies of climate impacts on agriculture and adaptation, which make current or future assessments – often ignoring historical contexts – this investigation considers how historical trends have influenced farming system adaptive capacity in two administrative districts of Uganda, Soroti and Jinja, from 1960 to 2012.

This conference paper explores food market vulnerability and security as related to rainfall shocks across Sub-Saharan Africa by applying econometric methods across a wide range of developed and developing countries. The paper is focused on methods of improving access to affordable food supplies for developing countries during times of dire need.

MarkSimGCM is a stochastic weather generating tool, which uses the well-known MarkSim application, a tool that generates simulated daily weather data specifically designed for use in the tropics, including rainfall, maximum and minimum temperatures and solar radiation. It provides files of daily weather data that are completely compatible with the DSSAT (Decision Support System for Agrotechnology Transfer) crop modeling system

Change is a constant in the lives of rural people in Africa. People have always had to cope with sudden shocks such as war, rain failures or food price spikes, and with longer-term stresses such as population increases, the degradation of natural resources and long-term decline in their terms of trade. But for most developing countries, climate change adds another layer of complexity to already existing development challenges, such as high levels of poverty and inequality, rapid population growth, underdeveloped markets, poor infrastructure and service provision, and weak governance.

This assessment was conducted in 2012. Field research focused on Gulu, Lira, Luweero, Mbale, Isingiro, and Kasese, USAID/Feed the Future priority districts that include important cropping systems, represent different agro-ecological zones, and are near weather stations that have collected consistent rainfall and temperature data for a long period of time.

The research and analysis show how current climate patterns shape – and how future climate patterns may influence – key crop value chains and the livelihoods of households that depend on them.

The study was guided by two research questions: 
(1) How do community residents perceive climate change/variability? 
(2) What is the trend and nature of climate variability and how does it compare with people’s perceptions?

The study was stratified into four farming systems of crop dominancy, pastoralists, mixed crop and livestock and fishing. It was conducted in the Nakaseke and Nakasongola districts of Uganda.