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首页> 外文期刊>Journal of Cleaner Production >A spatial explicit assessment of food security in Africa based on simulated crop production and distribution
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A spatial explicit assessment of food security in Africa based on simulated crop production and distribution

机译:基于模拟作物生产和分配的非洲粮食安全空间明确评估

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The continent of Africa has the highest prevalence of hunger and poverty in the world. In this paper, an Environmental Policy Integrated Climate (EPIC) model combined with a Crop Choice Decision Model (CCDM) is applied to simulate the production and spatial distribution of rice, wheat, millet, maize, sorghum and cassava in Africa from 1993 to 2012 converted into calories. From this, we calculate the size of the undernourished population according to the Average Dietary Energy Requirement index of the Food and Agriculture Organization of the United Nations (FAO) and study the trends experienced in different countries. The results show that (1) the distribution of different crops has a horizontal zonality from north to south; (2) although the distribution of different crops in Africa did not change significantly from 1993 to 2012, the total crop planting area declined, especially in the middle part of Africa; (3) the undernourished population has increased, while the proportion of undernourished people decreased; and (4) land tenure reform and international food aid has made a great contribution to improved food security in Africa. A GIS-based EPIC (GEPIC) model combined with a CCDM can enable the spatial explicit assessment of food security and the microscopic study of food security on large scale, providing more accurate decision-making information for policy makers.(C) 2017 Elsevier Ltd. All rights reserved.
机译:非洲大陆是世界上饥饿和贫困率最高的国家。本文利用环境政策综合气候(EPIC)模型和作物选择决策模型(CCDM)来模拟1993年至2012年非洲水稻,小麦,小米,玉米,高粱和木薯的生产和空间分布转换成卡路里。据此,我们根据联合国粮食及农业组织(粮农组织)的平均饮食能量需求指数计算出食物不足人口的规模,并研究了不同国家所经历的趋势。结果表明:(1)不同农作物的分布由北向南呈水平带状分布; (2)尽管从1993年到2012年非洲不同农作物的分布没有显着变化,但农作物总播种面积有所减少,特别是在非洲中部地区; (3)食物不足人口增加,食物不足人口比例下降; (4)土地权属改革和国际粮食援助为改善非洲的粮食安全作出了巨大贡献。基于GIS的EPIC(GEPIC)模型与CCDM结合可以实现对粮食安全的空间显式评估以及对粮食安全的微观研究,从而为决策者提供更准确的决策信息。(C)2017 Elsevier Ltd 。 版权所有。

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