4.6 Article

Food systems for resilient futures

期刊

FOOD SECURITY
卷 12, 期 4, 页码 853-857

出版社

SPRINGER
DOI: 10.1007/s12571-020-01070-7

关键词

Assessment; Determinant; Efficiency; Resilience; Response diversity; Scenarios

资金

  1. LUT University

向作者/读者索取更多资源

In this time of the pandemic, nothing is as it used to be. This change creates space for new narratives towards resilience. The resilience perspective implies preparing for shocks as well as various futures that might evolve. Thus, more sustainable food systems cannot only be built to be pandemic proof. This preparation can be facilitated by co-designing contrasting future narratives, identifying means for developing capacity to adapt to those futures and developing tools to enhance that capacity, such as demonstrated here. The capacity of food systems to adapt and transform is enhanced by dialogue, transparency and collective learning in food value chains and networks, sovereignty over resources, and built-in diversity in response to change. In market-led global food chains, supplier-buyer diversity is important, while in public-led regions with some market protection, farm and crop diversity might matter more in response to variability in weather, price and policies. During, for example, an international conflict, or the time of a pandemic, diverse food sourcing from local producer-consumer cooperatives to community-supported and urban agriculture could secure food for citizens. Assessments of critical diversity in response to shocks and volatility can help actors to tailor effective diversity to manage resilience while avoiding the long-feared trade-off between diversity and resource-use efficiency. The interdependence of humanity deserves attention, as food systems are only as resilient as their weakest actor. A truly resilient global food system implies not only preparedness for coming shocks and changes but also a foundation that makes shocks less probable and critical.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据