Food systems must provide adequate, healthy, and sustainable diets to the growing and changing population whilst responding to shocks and stressors related to climate variability, urbanization, globalization, conflicts, and economic change. This study examined the national food systems of Cambodia, Myanmar, and the Philippines and the local food systems of complementary Climate-Smart Villages: Chhouk, Htee Pu, and Himbubulo Weste.

The objective of the baseline study was to evaluate conditions in the Sedhiou and Tambacounda Regions of Senegal for the AVENIR project. The study entailed observation of key trends, a household survey, and analysis of the biophysical characteristics of the project area and challenges for agriculture. Thereby, the study identified key lessons learned and documented challenges for agriculture development.

The Climate-Smart Agriculture Profile for Khyber Pakhtunkhwa, Pakistan, provides an overview of the agriculture sector in the Province along with the major climatic and non-climatic challenges impacting its development. Climate projections are used to support an assessment of future hazards likely to impact crop and livestock production.

The Crop and Spatial Modeling activity was part of the project ‘Development of an Evidence-Based, Gender Equitable Framework for Climate Smart Agriculture Interventions,’ carried out under the Ministry of Agriculture and in collaboration with the International Center for Tropical Agriculture (CIAT), the Hydrometeorological Service of Guyana, and the University of Guyana. The project required geospatial vulnerability assessment and crop modeling research and extends previous climate change studies and vulnerability and capacity assessments regarding Guyana’s agricultural sector.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

This working paper summarizes the findings of a portfolio review conducted to explore the gender and youth responsiveness of climate-smart agriculture technologies tested across climate-smart villages. The innovative and integrative aspect of the Climate-Smart Village (CSV) approach can provide useful insights into how to decrease the gender gap in the context of climate change.

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.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

Digital technologies are slowly spreading in agriculture sectors globally. But their adoption is hampered by the digital divide which requires significant public investments, improved policy and incentive frameworks to be bridged. Only after that, digital transformation will take place at scale. Digital Agriculture Profile (DAP) is meant to assess the country's readiness for this digital transformation by identifying main bottlenecks, opportunities and risks for digital transformation.

The CCAFS-CIAT CSA Prioritization Framework (CSA-PF) is a participatory and multi-criteria decision-making process, co-designed as a holistic tool to support information-based CSA investments. CSA-PF has the objective to help decision-makers identify best-bet CSA investment portfolios that achieve gains in national food and nutrition security, farmers’ resilience and adaptation capacity to climate change, and, where possible, reduce greenhouse gas (GHG) emissions in the food system.

This training guide provides users with principles, concepts and practices on climate-smart agriculture (CSA) and community-based adaptation (CBA). It is composed of seven modules spread under a three-part document. This training guide was designed to enhance the capacity of users to facilitate processes leading to community-based adaptation to climate change, and to:
• Understand the principles, concepts and practices related to climate change, CSA and CBA
• Learn the application of participatory approaches and social learning processes in CBA

A majority of smallholder farmers in sub-Saharan Africa (SSA) countries depend to a large extent on agriculture for food security and income. Efforts aimed at improving farm-related profitability are therefore important to improving livelihoods among smallholder farmers. In Ghana, for example, smallholder farmers that depend on agriculture face serious risks especially those related to climate change and variability and soil degradation. Notwithstanding these dangers, evidence of the published literature on how best to tackle these challenges is limited.