This paper develops a conceptual framework with an indicator-based approach to assess Climate-Smart Villages (CSVs) and applies it to case study sites in Lao PDR (Ekxang CSV), Cambodia (Rohal Suong CSV), and Vietnam (Tra Hat CSV) in Southeast Asia.

An estimated 1.06 million hectare of arable land in Bangladesh and 6.7 million hectares in India is affected by salinity. Salinity intrusion adversely affects the livelihoods of farmers, especially rice cultivators and fisherfolks, vegetations, soil quality, and infrastructure in these areas.

About half of developing countries express ambition to use agroforestry—the integration of trees with crops, livestock and other non-forest timber products—for adaptation and mitigation of climate change.

Key messages Multi-lateral development banks (MDBs) have committed to financing climate change mitigation in agriculture and have adopted a harmonized methodology for attributing and reporting climate finance; however, design (including practice selection) and measurement of project impacts remains ad hoc.

The climate-smart agriculture (CSA) concept reflects an ambition to improve the integration of agricultural development and climate responsiveness. It aims to achieve food security and broader development goals under a changing climate and increasing food demand.

This brochure highlights the aspects of a project collaboration between CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) South Asia and a private sector giant in India, ITC Limited.

Climate change is projected to have serious impacts on the agriculture of southern Africa, affecting food availability, creating local production shortfalls and resulting in rising commodity prices. This report highlights the risks to agriculture and food systems that may occur in two counties of the region, Malawi and Zambia.

The Asian monsoon plays a major role in the variability of seasonal temperature and precipitation and the sub-seasonal statistics of these and other climate variables.

Several countries are developing nationally appropriate mitigation actions (NAMAs) in the livestock sector. Compared to research on emission factors, much less attention has been paid to understanding systems for collecting activity data on change in livestock management practices and animal performance.