Mapping the global supply and demand structure of rice
Mapping the global supply and demand structure of rice
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DOI：
10.1007/s11625-009-0077-1
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发表时间：
2009-10-01
影响因子：
6
通讯作者：
Shibasaki, Ryosuke
中科院分区：
文献类型：
--
作者：
Matsumura, Kan-ichiro;Hijmans, Rover J.;Shibasaki, Ryosuke
大米在全球可持续粮食生产的供应和需求中发挥着重要作用。维持可持续水稻生产的制约因素与地球上人类活动的分布模式与经济增长之间的关系密切相关。可以通过使用与国内收入、人口模式和稻米产区相关卫星亮度数据相关的各种标准来绘制全球稻米生产模式。富裕地区有更多的电力照明，并且国内生产总值 (GDP) 和夜间照明之间存在相关性。我们选择从地理角度考察全球稻米生产模式。出于本研究的目的，每个国家都被认为是由区域组成的，并且根据区域分布来讨论稻米生产。区域由其行政边界划定；产稻米的地区约有13,839个。我们使用了网格空间人口分布数据，上面覆盖了来自卫星图像的夜间光图像。由此产生的关系揭示了世界地区收入（使用 GDP 名义值）与稻米产量之间的相关性。使用以下标准来检查大米的供需结构。全球大米消耗量=“人均每天大米消耗热量”乘以“地区人口值”。地区稻米产量=“国家产量”除以“收获面积”（考虑多次收获）。地区水稻产量=“地区收获面积”乘以“水稻单产值”。我们根据这些方法比较了地区稻米消费量和产值。对数据集的分析生成了大米供需地图。未考虑区域间运输成本。该地图有助于了解稻米产区的粮食安全问题，并有助于估算这些地区的潜在人口价值。
Rice plays a major role in the global supply and demand for sustainable food production. The constraints of maintaining sustainable rice production are closely linked to the relationship between the distribution patterns of human activity on the planet and economic growth. Global patterns of rice production can be mapped by using various criteria linked to domestic income, population patterns, and associated satellite brightness data of rice-producing regions. Prosperous regions have more electric lighting, and there are documented correlations between gross domestic product (GDP) and nighttime light. We chose to examine global rice production patterns on a geographical basis. For the purposes of this study, each country is considered to be made up of regions, and rice production is discussed in terms of regional distribution. A region is delineated by its administrative boundaries; the number of regions where rice is produced is about 13,839. We used gridded spatial population distribution data overlain by nocturnal light imagery derived from satellite imagery. The resultant relationship revealed a correlation between regional income (nominal values of GDP were used) and rice production in the world. The following criteria were used to examine the supply and demand structure of rice. Global rice consumption = "caloric rice consumption per capita per day" multiplied by "regional population values". Regional rice yields = "country-based production" divided by "harvested area" (multiple harvests are taken into account). Regional rice production = "regional harvested areas" multiplied by "rice yield values". We compared regional rice consumption and production values according to these methods. Analysis of the data sets generated a map of rice supply and demand. Inter-regional shipping costs were not accounted for. This map can contribute to the understanding of food security issues in rice-producing regions and to estimating potential population values in such regions.