稀缺
粮食安全
业务
食物系统
持续性
食品加工
公司治理
自然资源经济学
环境资源管理
农业
地理
经济
政治学
财务
微观经济学
生态学
考古
法学
生物
作者
Asfaw Kebede,Hanan Abou Ali,Tyler Clavelle,Halley E. Froehlich,Jessica A. Gephart,Sarah Hartman,Mario Herrero,Hannah Kerner,Piyush Mehta,Catherine Nakalembe,D. K. Ray,Stefan Siebert,Philip K. Thornton,Kyle Frankel Davis
标识
DOI:10.1038/s43017-024-00516-2
摘要
Food production data — such as crop, livestock, aquaculture and fisheries statistics — are critical to achieving multiple sustainable development goals. However, the lack of reliable, regularly collected, accessible, usable and spatially disaggregated statistics limits an accurate picture of the state of food production in many countries and prevents the implementation of effective food system interventions. In this Review, we take stock of national and international food production data to understand its availability and limitations. Across databases, there is substantial global variation in data timeliness, granularity (both spatially and by food category) and transparency. Data scarcity challenges are most pronounced for livestock and aquatic food production. These challenges are largely concentrated in Central America, the Middle East and Africa owing to a combination of inconsistent census implementation and a global reliance on self-reporting. Because data scarcity is the result of technical, institutional and political obstacles, solutions must include technological and policy innovations. Fusing traditional and emerging data-gathering techniques with coordinated governance and dedicated long-term financing will be key to overcoming current obstacles to sustained, up-to-date and accurate food production data collection, foundational in promoting and monitoring progress towards healthier and more sustainable food systems worldwide. Accurate and timely food production data are needed to promote food security and sustainability, but data scarcity exists across national and international levels. This Review examines data availability and reliability for crops, livestock and aquatic food production and recommends solutions to address data scarcity.
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