Related items
Showing items related by metadata.
-
Brochure, flyer, fact-sheetBuilding climate-resilient and eco-friendly agriculture systems and livelihoods in the Lao People's Democratic Republic 2025
Also available in:
In the Lao People's Democratic Republic, 80 percent of the rural population are subsistence farmers. Stronger agriculture systems are essential for the country to attain food and nutrition security, reduce poverty, and achieve the government’s vision of a developing country of upper-middle income with innovative, green and sustainable economic growth by 2030. The country’s agriculture sector is exposed to multiple risks: climatic, biological and economic. Flood, drought and storm are the most prevalent natural hazards, and are expected to become more intense and more frequent with climate change. Vulnerability of agriculture systems in the country is driven by a number of factors, including geographically scattered production due to the country’s topography and weak linkages to urban populations and regional markets; and a heavy dependency of the population on agriculture and natural resources as a source of employment, income and food, among others. Against this background, the "Building Climate-Resilient and Eco-Friendly Agriculture Systems and Livelihoods in Lao People's Democratic Republic" project or Climate REAL project, sought to enhance resilience to climate-related disasters and environmental sustainability of agriculture systems and livelihoods in three districts of Attapeu Province, one of the most marginalized and remote provinces in the country. -
BookletApplication of artificial intelligence in anticipatory action: Drought and flood case study in the Lao People’s Democratic Republic
Technical study
2024Also available in:
No results found.This technical study examines the triggering method for anticipatory action, which involves identifying key indicators or thresholds that, when reached or exceeded, prompt pre-planned interventions to mitigate the impact of an anticipated disaster. These triggers are designed to initiate timely actions before a disaster occurs. Specifically, this paper draws upon the case study on developing these triggering systems for managing agricultural drought and flood risks in the Lao People’s Democratic Republic. By transitioning from a reactive disaster response model to a proactive approach, it leverages artificial intelligence to improve the efficiency and effectiveness of anticipatory triggering methodologies, thus enhancing both the speed and dignity of disaster response efforts. The methodologies and systems developed through this analysis have significant potential for application beyond the Lao People's Democratic Republic. Their open-source and adaptable design offer valuable frameworks for other drought- and flood-prone regions in Asia and the Pacific. -
Book (series)Terminal evaluation of the project “Climate Adaptation in Wetlands Areas in the Lao People's Democratic Republic”
Project code: GCP/LAO/022/LDF - GEF ID: 5489
2024Also available in:
No results found.This project supports communities in wetland areas of the Lao People’s Democratic Republic in efforts to reduce pressure on wetlands area, improve management and stewardship and diversify livelihoods. The project outcomes were consistent with national policies and plans, and it was successful in a range of wetland conservation efforts. Evidence-based planning and mainstreaming of climate change adaptation, disaster risk management and wetland conservation has been conducted in regular planning exercises, training of government staff and participating communities. RAMSAR site steering committees have been established. A major threat continues to be encroachment of wetlands for rice cultivation and use of chemical fertilizer and pesticides in rice fields.
Users also downloaded
Showing related downloaded files
No results found.