Scenario-based assessment of future food security
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This paper presents a scenario-based assessment of global future food security. To do that, the socio-economic and climate change scenarios were defined for the future and were linked to an integrated modeling framework. The crop yields simulated by the GIS-based Environmental Policy Integrated Climate (EPIC) model and crop areas simulated by the crop choice decision model were combined to calculate the total food production and per capita food availability, which was used to represent the status of food availability and stability. The per capita Gross Domestic Product (GDP) simulated by IFPSIM model was used to reflect the situation of food accessibility and affordability. Based on these two indicators, the future food security status was assessed at a global scale over a period of approximately 20 years, starting from the year 2000. The results show that certain regions such as South Asia and most African countries will likely remain hotspots of food insecurity in the future as both the per capita food availability and the capacity of being able to import food will decrease between 2000 and 2020. Low food production associated with poverty is the determining factor to starvation in these regions, and more efforts are needed to combat hunger in terms of future actions. Other regions such as China, most Eastern European countries and most South American countries where there is an increase in per capita food availability or an increase in the capacity to import food between 2000 and 2020 might be able to improve their food security situation.
Keywordsscenario food security per capita food availability per capita GDP model assessment
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- Brookes G, Barfoot P, 2006. GM crops: The first ten years: Global socio-economic and environmental impacts. ISAAA Brief No.36. ISAAA: Ithaca, NY.Google Scholar
- FAO, 2009. The state of food Insecurity in the world 2009. Food and Agriculture Organization, Rome, Italy.Google Scholar
- K-1 Model Developers, 2004. K-1 coupled model (MIROC) description, K-1 technical report No.1. Center for Climate System Research, University of Tokyo.Google Scholar
- Oga K, Yanagishima K, 1996. International Food and Agricultural Policy Simulation Model. JIRCAS Working Paper No.1. Japan International Research Center of Agricultural Sciences, Ministry of Agriculture, Forestry and Fisheries.Google Scholar
- Williams J R, Dyke P T, Fuchs W W, 1990. EPIC-Erosion/Productivity Impact Calculator. United State Department of Agriculture, Agricultural Research Service. Technical Bulletin Number 1768. Springfield, VA, USA.Google Scholar
- Wu W, Yang P, Tan G et al., 2007b. Global-scale modeling of future changes in sown areas for major crops based on a Logit model. Acta Geographica Sinica, 62(6): 589–598. (in Chinese)Google Scholar
- Yang P, Wu W, Zhou Q et al., 2007. Assimilating remotely sensed LAI into GIS-based EPIC model for yield assessment on regional scale. Transactions of the Chinese Society of Agricultural Engineering, 23(9): 130–136.Google Scholar