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Book (stand-alone)Comprehensive analysis of Disaster Risk Reduction and Management System for agriculture in Bosnia and Herzegovina 2020
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No results found.This report aims to highlight the current strengths of the institutional disaster risk reduction (DRR) system for agriculture in Bosnia and Herzegovina as well as indicate existing gaps and capacity needs to further enhance it. A comprehensive assessment is conducted, which includes a general overview of the country’s agricultural sector and outlines the most frequent natural hazards that are impacting the sector. It is followed by an analysis of the existing legal, policy and institutional structure and discusses various components of the system, including e.g. the functioning of early warning systems, assessments of disaster risks, post-disaster needs assessments, including damages and losses assessments and the availability of agricultural insurance for farmers. -
ProjectComprehensive analysis of the disaster risk reduction and management system for agriculture in Montenegro 2018
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This report aims to highlight the current strengths of the institutional DRR system for agriculture in Montenegro as well as indicate existing gaps and capacity needs to further enhance it. A comprehensive assessment is conducted, which includes a general overview of the country’s agricultural sector and outlines the most frequent natural hazards that are impacting the sector. It is followed by an analysis of the existing legal, policy and institutional structure and discusses various components of the system, including e.g. the functioning of early warning systems, assessments of disaster risks, post-disaster needs assessments, including damages and losses assessments and the availability of agricultural insurance for farmers. It concludes by providing recommendations for capacity building interventions to strengthen the current system to reduce the adverse impacts of natural hazards, in particular, floods, landslides and droughts, and climate change on agriculture in Montenegro. This report is prepared for the FAO project ‘Enhancement of Disaster Risk Reduction and Management (DRR/M) capacities and mainstreaming of Climate Change Adaptation (CCA) practices into the Agricultural Sector in the Western Balkans (TCP/RER/3504). -
ProjectEnhancing Capacities for Inclusive Disaster Risk Reduction and Management Towards Adaptive and Shock-Responsive Social Protection Amid COVID-19 - TCP/PHI/3807 2024
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No results found.A significant proportion of the population of the Philippines lives in and out of poverty due to climate-related disasters, which represent one of the main threats to ensuring economic growth and poverty reduction in the country. Vulnerable households and communities are often most affected by disasters as they usually have fewer resources to build resilience. In the Philippines, the Department of Social Welfare and Development (DSWD) is the primary government agency mandated to implement social protection programmes. The DSWD also plays a lead role in the Philippine Disaster Risk Reduction and Management (DRRM) landscape acting as the vice chair for Disaster Response of the National Disaster Risk Reduction and Management Council. However, the arrival of the COVID-19 pandemic dramatically changed the landscape of DRRM, pushing the government’s operational plan and the private sector to the limit and causing high mortality rates. The pandemic compounded the negative impacts of climate-related hazards that are frequently experienced in the country. To respond to this emerging challenge, this project was designed to provide technical assistance to the DSWD in implementing DRRM initiatives through high-end information technologies (IT) and infrastructure. The project aimed to strengthen institutional capacities to use Geographic Information Systems (GIS) as an essential tool that would allow the enhancement of predictive analytics for humanitarian response (PAHR), map potential resources and capacities and track the displaced population affected by natural crises. Therefore, by implementing GIS, the project sought to create strategies with real-time data to mitigate future impacts for vulnerable communities.
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