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BookletDisaster risk finance and Anticipatory Action in Mongolia: Lessons from the 2022/23 dzud
Technical Brief
2024Also available in:
No results found.This document provides a comprehensive overview of disaster risk financing for Anticipatory Action, focusing on the specific case of dzud events in Mongolia. It delves into the proactive measures implemented by the Government of Mongolia during the 2022/23 winter, highlighting the release of state fodder and hay reserves at discounted prices in anticipation of the dzud, guided by early warnings. -
Brochure, flyer, fact-sheetMongolia: Anticipating the 2020 dzud 2020
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No results found.This overview showcases how FAO and IFRC anticipated a harsh winter season (known locally as a dzud) in Mongolia. In early 2020, both agencies implemented anticipatory actions triggered by warnings that extreme weather posed a major risk to vulnerable livestock herders. It highlights the projects achievements and the collaboration efforts. -
BookletLa Niña: Anticipatory Action and Response Plan, September–December 2024
Mitigating the expected impacts of La Niña‑induced climate extremes on agriculture and food security
2024Also available in:
No results found.Following the 2023−2024 El Niño event and the current El Niño Southern Oscillation (ENSO) neutral state, La Niña (ENSO cool phase) is anticipated to come into effect between September and November withwith probabilities ranging from 55 to 71 percent, and is expected to persist through January to March 2025. La Niña can increase the likelihood of extreme weather and climate hazards such as droughts, floods, excessive rainfall and cyclones. These early warnings signal the need for anticipatory action to help vulnerable farming communities mitigate the potential effects of La Niña, especially in regions where the compounded effects from the 2023−2024 El Niño event and La Niña might materialize. FAO’s La Niña Anticipatory Action and Response Plan requires urgent funding to deliver immediate support in a number of identified countries around the world, based on analysis of historical trends, latest seasonal forecasts, agricultural seasonality and the vulnerability of populations at risk.
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