The CGIAR Initiative on Climate Resilience, ClimBeR, aims to transform the climate adaptation capacity of food, land, and water systems in Zambia and five other low- and middle-income countries, ultimately increasing the resilience of smallholder production systems to withstand severe climate change effects like drought, flooding, and high temperatures.  

Vegetable cultivation is a survival strategy for the urban population, especially with the increasing population, urbanization, and high unemployment rate. For decades, men have practiced vegetable cultivation in Tamale's metropolitan city, with women being involved at the last node of the value chain – marketing. Women are known as market queens, and culturally, sell foodstuff in the market, unlike men who can’t do the same. These market queens buy vegetables from farm gates and sell them at wholesale prices to other market women who retail them in the market.

Gender differences and gender inequalities in rights, status and responsibilities significantly shape daily rural life and life cycles in rural West Africa (Levasseur 2003), where women face significant constraints in participating in activities aimed at restoring forests and farmland. Yet, they also find innovative ways to overcome such constraints, such as collective action and the creation of groups of mutual support.

The overall objective of this project was to support the scaling up of gender sensitive Climate Smart Agriculture (CSA) as a mechanism to increase resilience and improve livelihoods of vulnerable households in the face of climate-related impacts. Focused on two countries, Guatemala and Honduras, it aimed to generate science-based actionable information, tools and processed that support decision making by stakeholders at different scales, from farmers to subnational, national and regional levels. Its specific objectives were:

Taking a food systems approach is a promising strategy for improving diets. Implementing such an approach would require the
use of a comprehensive set of metrics to characterize food systems, set meaningful goals, track food system performance, and
evaluate the impacts of food system interventions. Food system metrics are also useful to structure debates and communicate to
policy makers and the general public. This paper provides an updated analytical framework of food systems and uses this to

Guyana is highly exposed to climate extremes with significant flooding risk for coastal regions, and more frequent drought events affecting subsistence agricultural activities in the hinterlands. Future climate scenarios show an increase in climate extremes.
The agriculture sector requires a transformation toward climate-resilient agriculture systems. Gender and social inclusion are of great significance for the successful transformation to climate-resilient farming in Guyana.

Feeding improvement strategies are key in increasing cattle productivity and reducing its environmental footprint. Nevertheless, Colombian tropical cattle systems still feature serious deficiencies in both forage quality and availability. As a result of past and ongoing forage Research and Development (R&D) processes, institutions have released 23 grass and legume cultivars of superior characteristics in terms of forage quality, supply, or adaptation to different soil and climate conditions, while providing numerous environmental benefits.

The agriculture sector is the largest contributor to Kenya’s economy and includes crop and livestock production, agroforestry, fisheries and aquaculture, agro-processing, trade, and all associated services. Due to its reliance on rain and natural weather patterns, however, this key sector is vulnerable to climate shocks and long-term changes, which already are increasing pressure on Kenya’s food security. Over the years, natural hazards from extreme weather events in the form of droughts and flooding have increased, both in frequency and magnitude of damage.

P4S II resulted from the merging the actions of BRAS-PAR and P4S I with the intention to use tools and
evidence/lessons learned from the Climate-Smart Villages and other development activities, with
existing and new partners through direct scientific support to decision makers (e.g., governments, civil
society, and researchers) and capacity building to help bring CSA to scale. The scientific activities will
be combined with dedicated communications activities such as photo essays, tweets, blog posts, etc. from

The programme “Linking agrobiodiversity value chains, climate adaptation and nutrition: Empowering the poor to manage risk” funded by IFAD and the European Union from 2015 to 2018 aims to strengthen the capacities of farmers to manage risks associated with climate change, poor nutrition status, and economic disempowerment through agrobiodiversity-based solutions. Enhancing productivity and promoting use of nutritious and climate-hardy underutilized species is the core of the initiative, which is focusing on minor millets and native vegetables in Madhya Pradesh.

Globally, in the coffee sector and smallholder agriculture in developing countries, there is a distinct gender gap in key factors that enable women’s active participation in and contribution to the coffee value chain and in farm and domestic decisions, such as decisions over credit, agricultural inputs, and training opportunities and division of labor and time. This study assesses Village Savings and Loans Associations (VSLA) impacts and related training on gender equality and women’s access to coffee markets in an ongoing coffee- project in northwest Vietnam.

The study examined the factors for the successful implementation of bylaws on sustainable crop intensification. The study used the new institutionalism theory to examine the implementation of bylaws in the potato cropping system in southwestern Uganda. A mixed model featuring both qualitative and quantitative approaches was used in the study. This involved analysis of primary data. The primary sources were key informants, focus group discussions, and face to face interviews with individual farmers, as well as secondary data sources.