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Strengthening the Agroclimatic Information System to Improve the Agricultural Drought Monitoring and Early Warning System in Viet Nam (News), Pilot Study in Ninh Thuan Province - TCP/VIE/3603









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    Emergency Support to Restore the Livelihoods of the Poor Farming Poultry Producers Affected by the El Niño-Induced Drought and Salt-Water Intrusion Effect - TCP/VIE/3605 2020
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    Against the backdrop of one of the worst droughts in history, attributed to the El Niño event, a total of 52 of the 63 provinces (83 percent) of Viet Nam were affected by drought in 2016, and 18 provinces were declared to be in a State of Emergency at the peak of the drought in May 2016. The latest assessments (in October 2016) showed that in the three most affected regions of the country, namely the Central Highlands, Central and Mekong Delta regions, the lack of water (also as a result of salt intrusion) caused significant damage/losses, 45 percent of which were related to the 2016 main winter/spring paddy crops and 50 percent to the livestock, mainly poultry, pigs, sheep and goats. National/local authorities and farmers, who had not experienced this level of severity of drought and salinity intrusion before, were not sufficiently prepared to address the situation. The project worked towards restoring the agriculturebased livelihoods of poor farming households in the six most affected provinces, through the distribution of livestock and animal feed, and the provision of good husbandry and biosecurity training to extension workers and affected farmers.
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    Terminal evaluation of the project "Strengthening agroclimatic monitoring and information systems to improve adaptation to climate change and food security in the Lao People's Democratic Republic"
    Project code: GCP/LAO/021/LDF - GEF ID 5462
    2024
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    The project focused on technical innovation to strengthen efforts to build climate resilience of smallholder producers. The project, beyond original expectations, generated an agroecological zoning modelling tool (pyAEZ) of global relevance. The project achieved many of its outputs, some of which went beyond the indicators and exceeded targets for coverage. Securing co-financing (and engaging other actors in complementary efforts) was very successful. The network of weather stations was improved along with establishing a laboratory for calibration of the sensors of the automatic weather station (AWS), and the Lao Climate Service for Agriculture (LaCSA), a decision-making tool developed by the project to provide agrometeorological advisories and early warnings. The project was found to have made a significant contribution to strengthening agroclimatic monitoring and information systems to improve adaptation to climate change and food security.
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    Strengthening of Food Security Information and Early Warning Systems Affected by the Protracted Syrian Crisis - TCP/SYR/3603 2020
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    Rural and agricultural livelihoods in the Syrian Arab Republic have been severely affected since 2011 as a result of economic, environmental and humanitarian factors. Trade sanctions, disrupted supply chains, restricted movement of goods and ailing infrastructure have increased production and transportation costs. In addition, a limited access to productive land due to internal conflict and damage to essential irrigation systems put additional pressure on rural communities, the majority of whom had already been struggling to adapt to decreased rainfall. Consequently, ensuring food and nutrition in rural and agricultural communities has become an especially top priority for the government and for national and international development actors alike. However, current national information systems and data collection protocols specific to food security and early warning systems have proven insufficient vis-à-vis the severity of the national context, thus shedding light on the urgent need to strengthen data and information generation and sharing systems. Planning for emergency, recovery and development interventions in the absence of regular, robust and reliable food security data has made it more challenging to respond to the country’s priorities.

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