UID:
almahu_9949712173102882
Format:
1 online resource (230 pages)
ISBN:
1-80355-004-X
Series Statement:
Sustainable development
Content:
In a world of growing complexity and uncertainty, the security of food supplies is threatened by many factors. These include multiple processes of global change (e.g. climate change, rapid urbanization, population ageing), unexpected shocks (e.g. natural disasters, finazncial and political crises), and unexpected responses of food systems themselves to these processes and events. In this paper, we develop a conceptual framework for food system resilience, and consider how this could be implemented through stakeholder participation to ensure food security for everyone. Resilience is conceptualized from a holistic perspective, as encompassing the complexity of whole food systems, including social, economic and biophysical processes operating at many scales. It presents the opportunity to eradicate weaknesses and build capacities in the food system while dealing with future uncertainty.
Note:
1. Perspective Chapter: Food System Resilience - Towards a Joint Understanding and Implications for Policy -- 2. Global Food System Transformation for Resilience -- 3. Bundling Weather Index Insurance with Microfinance: Trekking the Long Road between Expectations and Reality - A Study on Sub-Saharan Africa -- 4. Toward Safe Food Systems: Analyses of Mycotoxin Contaminants in Food and Preventive Strategies Thereof for Their Formation and Toxicity -- 5. Social Resilience in Local Food Systems: A Foundation for Food Security during a Crisis -- 6. Self-Sustained Communities: Food Security in Times of Crisis -- 7. Analysis of the Nexus between Coping Strategies and Resilience to Food Insecurity Shocks: The Case of Rural Households in Boricha Woreda, Sidama National Regional State, Ethiopia -- 8. How to Build Food Safety Resilience in Commercial Restaurants? -- 9. Legumes Cropping and Nitrogen Fixation under Mediterranean Climate: The Case of Montado/Dehesa System -- 10. Rust Disease Classification Using Deep Learning Based Algorithm: The Case of Wheat.
Additional Edition:
ISBN 1-80355-003-1
Language:
English
