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Mainstreaming Disaster Risk Reduction into Agriculture

A case study from Bicol Region, Philippines









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    Project
    Enhancing Disaster and Climate Resilient Agriculture in Vulnerable Communities - TCP/PNG/3803 2023
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    Owing to its geophysical conditions, Papua New Guinea is one of the most disaster-prone countries in the world, and floods, droughts, landslides are only expected to increase in intensity and frequency in the country because of climate change. Small-scale rural agricultural communities suffer acutely in the aftermath of these natural disasters, which can destabilize food security and increase the vulnerability of livelihoods. This project was designed to support the Government of Papua New Guinea and communities of smallholder farmers to navigate extreme weather events and climate shocks through the implementation of climate-resilient agriculture (CRA) and disaster risk reduction management (DRRM) practices. This was done by: (i) building the capacities of government institutions in CRA and DRMM; (ii) providing location-specific climate information and meteorological advisories; and (iii) increasing the implementation of CRA practices and anticipatory and early warning action in targeted communities.
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    Document
    Good practices for disaster risk reduction and climate change adaptation for rain-fed and upland agro-ecological zones, Philippines
    Final report
    2012
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    The vulnerability of the Bicol Region to meteorological hazards such as typhoons, floods, drought, high magnitude rainfall and related hazards, such landslides is underscored. The agriculture sector, particularly the rain fed and upland agro-ecological zones, which are largely dependent on climatic conditions, are one of the most affected areas. The many resource-poor farmers in this region are highly vulnerable to the adverse impacts of climate change and the effect it has on food security and their livelihoods. This necessitates putting in place adaptation strategies to reduce their vulnerability and enhance their adaptive capacities. This is the final good practice options report of the TCP/PHI/3203 ?Strengthening the capacities for climate risk management and disaster preparedness in selected provinces of the Philippines (Bicol Region) by Bicol University, which provides an overview on the selection, testing and validation process of the location-specific good practice options (GPO ) as well as the documentation of the validated good practices.
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    Project
    Development of an Enhanced Production and Risk Management in Agriculture Integrated Decision Support System (EPRIMA) - TCP/PHI/3604 2021
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    The Philippines has the second highest exposure to natural hazards of any country in the world It lies in the typhoon belt through which storms generated in the western Pacific Ocean pass As an archipelago with low lying coasts, the country is particularly exposed to storm surges, tsunamis and rising sea levels, with recent trends indicating an increased frequency and intensity of impact of hydro meteorological hazards From 1995 to 2013 the agriculture and fisheries sector absorbed an average 27 percent of the economic impacts of natural hazards and disasters, with losses from disasters jumping to 37 percent in the period 2010 2013 At least 60 percent of the land area of the Philippines is exposed to multiple hazards, including typhoons, tropical cyclones, floods, droughts, earthquakes, tsunamis, volcanic eruptions, landslides, forest fires and pandemics The country is also faced by agricultural and natural resource risks as a result of rapid urbanization, migration and socio economic changes The aim of the project was to increase resilience against multiple threats to the agriculture sector by facilitating the development of an Integrated Decision Support System for Enhanced Production and Risk Management in Agriculture This would allow key actors in DA to make more effective and timely decisions through more comprehensive and near real time access to crop production and risk and damage assessment information and tools The project would support three important dimensions of disaster risk reduction ( i e reducing existing risks, avoiding new risks and addressing underlying vulnerabilities.

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