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BookletExploring the application of Artificial Intelligence for triggering drought anticipatory action: A Timor-Leste case study
Technical Working paper
2024Also available in:
No results found.This research describes the process of developing an agricultural drought-triggering methodology for anticipatory action (AA) within the context of Timor-Leste, an Indo-Pacific nation grappling with limited observation data. Drought is a severe and recurring natural hazard in Timor-Leste, significantly impacting livelihoods and exacerbating food insecurity due to the compounding effects of the climate crisis. This study provides a comprehensive understanding of the methodology’s development, highlighting the collaborative establishment of an AA protocol with the government and the humanitarian community, spearheaded by the Food and Agriculture Organization of the United Nations and the Government of Timor-Leste. Overall, this study aims to facilitate a transition towards a preemptive approach for disaster risk management and highlight the advances of the introduction of Artificial Intelligence (AI) moving forward. -
BookletLao People's Democratic Republic: Registries, risk reduction and resilience
Improving vulnerability and risk analysis to enhance social registries for shock-responsive social protection
2025Also available in:
No results found.The Food and Agriculture Organization of the United Nations (FAO) has been conducting vulnerability and risk analysis for agricultural populations since the early 2000s. The Sendai Framework has further advanced this work by providing a structured approach to assessing exposure, vulnerabilities, and adaptive capacity using diverse data sources and tools. In the Asia-Pacific region, FAO continues to develop and apply practical tools for large-scale, population-based analyses to inform disaster risk management, climate change adaptation, and social protection policies. In the Lao People’s Democratic Republic, high disaster risk and a predominantly agricultural workforce contribute to multidimensional vulnerabilities. Agriculture employs 70 percent of the population, with over half of households relying on subsistence farming. Between 1970 and 2010, the country experienced 33 natural hazards, affecting 9 million people and causing over USD 400 million in economic losses. In 2019 alone, 13 percent of households faced multiple hazards, such as droughts, floods, and landslides. Robust vulnerability and risk analysis systems are essential for designing and targeting climate-sensitive social protection programmes that address poverty, risk reduction, and resilience-building in the agriculture sector. This publication reviews datasets from the Lao People's Democratic Republic to assess their capacity to generate relevant indicators for vulnerability and risk analysis. The review aims to enhance risk assessment methodologies to improve the design and implementation of social protection, anticipatory action, and shock-responsive interventions for agricultural communities. -
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.
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