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.

This study utilizes a recursive dynamic general equilibrium model calibrated with data for Tanzania to explore the link between agricultural and rural development spending and four development outcomes: economic growth, job creation, poverty reduction, and diet quality. Results show that no single expenditure option is the most effective in achieving all four desired development outcomes for Tanzania.

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.

The Zambezi River Basin (ZRB) in southern Africa connects eight riparian countries—Angola, Botswana, Malawi, Mozambique, Namibia, Tanzania, Zambia, and Zimbabwe. The population there mostly reside rurally, and over 80 percent of agriculture is attributed to smallholder farmers facing the brunt of the climate crisis. Digital technologies can facilitate and enhance climate adaptation and resilience, but their potential in ZRB is unassessed and the use relatively low.

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.