Semi-arid rangelands in Sub-Saharan Africa (SSA) are an important source of food security and nutrition but are under increased anthropogenic pressure by a growing population. These rangelands are characterized by nutrient poor soils and distinct wet and dry season(s). Due to the soil and climate combination, conventional crop agriculture is rarely feasible without irrigation and mineral fertilizer amendments, which in turn are limited by prohibitively high fertilizer prices and lack of water.

• Climate change has led to increased production risks especially for smallholder farmers who often tend to be more vulnerable
• Sub-Saharan Africa (SSA) has several climate change hotspots and is more vulnerable to weather shocks compared to other regions.
• >363 million people affected by drought between 1980-2014 causing > US$31 billion in losses – with 19 billion in East Africa (FAO, 2015)
• Agricultural insurance is a risk management tool for extreme weather events; however, its coverage remains lowest in SSA (Hess and Hazell, 2016).

Background | The challenges facing food, land, and water systems are numerous and complex. In addressing these interlinked challenges, the choices facing governments and their development partners have also become increasingly complicated. Synergies are possible, but trade-offs are often unavoidable. Decision-makers need better evidence to help them choose actions that minimize trade-offs and advance progress towards collective goals.

play a key role in building smallholders’ resilience. However, the impact of PSNP on on-
farm agrobiodiversity is not yet well investigated. In this paper, we develop an analytical
framework that links PSNP participation to on-farm agrobiodiversity. Both diverse farm-
ing systems and PSNP require labour inputs while providing income stabilization, which
might result in a negative relationship between the two. Conversely, higher income from
PSNP might allow farmers to increase their long-term on-farm investments, as opposed to

Abstract: Flood-attributed damages to infrastructure and public safety are expected to escalate in the future due to climate change, land use change, and associated hydrologic changes. In recent years, the reliability of flood forecasts has increased due to the availability of meteorological and hydrological data and advancements in flood prediction science. However, there is limited effort to apply emerging advanced hydrological models for flood prediction in poorly gauged watersheds.

Enset is a staple crop of the southern Ethiopian highlands. Small-holder farmers cultivate enset as part of mixed subsistence farming systems, in which enset provides substantial food security services. While its cultivation is unique to this region, enset production systems take on many forms, varying with environmental and agronomic conditions, crop diversity and (co-)staples produced, the importance of enset for the household, and socio-economic and cultural differences.

Agriculture in general and ranches contribute significantly to the sustainability of poor and marginalized farmers. To meet the future requirements of an increasing population, animal productivity must be significantly increased. Animal production is increasingly influenced by a variety of external factors. This includes increasing demand for animal products and an inadequate supply of feed ingredients due to competition in natural resources and trade barriers. At the same time, there is growing concern about livestock and its health consequences.

Demand-driven capacity strengthening programs prepare skills and competencies for the young labor force to work in the private sector, filling the gap of suitable workforce.

Creditworthiness assessment tool helps input suppliers, financial institutions and other service providers to identify farmers (clients) who fit and credit-and-trustworthy for their business.

Tracking agriculture and land-use greenhouse gas (GHG) emissions is necessary to inform global climate policy, yet UNFCCC country-reported data and three independent global databases show inconsistent estimates of countries’ emissions. Data for developing countries are particularly inconsistent, yet also collectively the largest source of emissions.

Emergy-Data Envelopment Analysis (EM-DEA) is a methodological approach for achieving complete environmental-economic accounting of different production systems.