Mapping hazards to the global food system

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
David F. Willer, Samuel Short, Diana Khripko, Silviu O. Petrovan, Alec P. Christie, Julie Bremner, William J. Sutherland, David C. Aldridge
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引用次数: 0

Abstract

Environmental hazards associated with the global food system threaten societal integrity. Yet, there is a major data gap in the global understanding of how the prevalence of hazards is changing over time, how different classes of hazard are distributed, and whether the combined literature represents hazard prevalence equitably across research, policy and legislation, and news. Here, we explore this data gap, leveraging global research, policy, and news databases. We reveal increasing attention on food system hazards over time, in line with major geopolitical events. Coverage on environmental hazards is not distributed equally geographically, and media attention does not match research and policy evidence focus. Climate change and water scarcity in particular receive substantial attention across all source types, whilst, for example biodiversity loss, genetic erosion, or harmful algal blooms receive much less. Environmental, financial and food systems sustainability damage due to hazard neglect should be avoided and a first step is to understand, map, and quantify biases in focus.

绘制全球粮食系统的危害图。
与全球粮食系统相关的环境危害威胁着社会的完整性。然而,在全球对危害流行率如何随时间变化,不同类别的危害如何分布,以及综合文献是否在研究,政策和立法以及新闻中公平地代表危害流行率的理解方面存在重大数据缺口。在这里,我们利用全球研究、政策和新闻数据库来探索这一数据差距。我们发现,随着时间的推移,人们越来越关注粮食系统的危害,这与重大地缘政治事件是一致的。对环境危害的报道在地理上分布不均,媒体的关注与研究和政策证据的重点不匹配。气候变化和水资源短缺尤其受到所有来源类型的大量关注,而诸如生物多样性丧失、遗传侵蚀或有害藻华等则受到的关注少得多。应避免因忽视危害而对环境、金融和粮食系统的可持续性造成损害,第一步是了解、绘制和量化重点偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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