Building Disaster and Climate Resilience of Agriculture Sector to Achieve The SDGs in Asia - TCP/RAS/3703
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The Food and Agriculture Organization of the United Nations (FAO) recognizes the need for more resilient food and agriculture systems in its Strategy on Climate Change to achieve the Sustainable Development Goals (SDGs) and end hunger and poverty. The agriculture sector is facing increasing risks due to climate change, natural disasters and food chain crises, which put pressure on the sector facing multiple challenges of land use changes, urbanization and market forces. Nearly all FAO Members in the Asia and the Pacific region have a priority area or country outcome on resilience to disasters and climate change, as recognized in their Country Programme Frameworks. However, vulnerability and risk assessment (VRA) in the agriculture sector is still limited globally due to constraints such as the lack of standard tools and capacity and poor management of agriculture disaster damage and loss (D&L). The regional conference on "Strengthening resilient food and agriculture systems" highlighted the urgent need for standard VRA tools for all agricultural subsectors to understand the underlying risk factors, both within and outside the agriculture sector. FAO has developed the methodology for evaluating agriculture disaster D&L, covering all four agricultural sub-sectors (crops, livestock, fisheries/aquaculture and forestry). However, D&L data is often collected on an ad-hoc basis without standardized templates, methods and information management systems. Relevant and good quality data and statistics are critical to measuring the impacts and costs of disasters, anticipating future risks and establishing development goals addressing these risks. All FAO Members in the region of Asia and the Pacific have committed to monitoring and reporting on the Sendai Framework for Disaster Risk Reduction (DRR), Nationally Determined Contributions to the Paris Agreement and the SDGs. Technical support is required not only to build capacity to apply D&L assessment methodology but also to ensure an institutional approach in strengthening agriculture D&L information management. Such an approach will bring together agriculture sectors and also National Statistics Office, National Disaster Management Agencies and other stakeholders to systematically improve agriculture D&L data, information and management system. To this end, Cambodia, the The Lao People’s Democratic Republic, Mongolia and Timor-Leste requested technical support to apply the FAO D&L methodology.