The Earth Institute, Columbia University, New York, NY 10025, USA.
The Nature Conservancy, New York, NY 10001, USA.
Sci Adv. 2018 Jul 4;4(7):eaao1108. doi: 10.1126/sciadv.aao1108. eCollection 2018 Jul.
Humanity faces the grand challenge of feeding a growing, more affluent population in the coming decades while reducing the environmental burden of agriculture. Approaches that integrate food security and environmental goals offer promise for achieving a more sustainable global food system, yet little work has been done to link potential solutions with agricultural policies. Taking the case of cereal production in India, we use a process-based crop water model and government data on food production and nutrient content to assess the implications of various crop-shifting scenarios on consumptive water demand and nutrient production. We find that historical growth in wheat production during the rabi (non-monsoon) season has been the main driver of the country's increased consumptive irrigation water demand and that rice is the least water-efficient cereal for the production of key nutrients, especially for iron, zinc, and fiber. By replacing rice areas in each district with the alternative cereal (maize, finger millet, pearl millet, or sorghum) with the lowest irrigation (blue) water footprint (WFP), we show that it is possible to reduce irrigation water demand by 33% and improve the production of protein (+1%), iron (+27%), and zinc (+13%) with only a modest reduction in calories. Replacing rice areas with the lowest total (rainfall + irrigation) WFP alternative cereal or the cereal with the highest nutritional yield (metric tons of protein per hectare or kilograms of iron per hectare) yielded similar benefits. By adopting a similar multidimensional framework, India and other nations can identify food security solutions that can achieve multiple sustainability goals simultaneously.
人类在未来几十年面临着巨大的挑战,既要养活不断增长、更加富裕的人口,又要减轻农业对环境的负担。将粮食安全和环境目标结合起来的方法为实现更可持续的全球粮食系统提供了希望,但将潜在的解决方案与农业政策联系起来的工作却很少。以印度的谷物生产为例,我们使用基于过程的作物水分模型和政府关于粮食生产和营养成分的数据,评估了各种作物转换情景对消费性需水量和营养物生产的影响。我们发现,在拉比(非季风)季节,小麦产量的历史增长是该国消费性灌溉需水量增加的主要驱动因素,而且水稻在生产关键营养物方面效率最低,特别是铁、锌和纤维。通过用灌溉水足迹(蓝水足迹)最低的替代谷物(玉米、珍珠粟、高粱或小米)替代每个地区的水稻,我们表明,通过减少 33%的灌溉用水需求,有可能减少灌溉用水需求,同时提高蛋白质(增加 1%)、铁(增加 27%)和锌(增加 13%)的产量,而热量仅略有减少。用总(降雨+灌溉)蓝水足迹最低的替代谷物或营养产量最高的谷物(每公顷蛋白质产量或每公顷铁产量)替代水稻,也能产生类似的好处。通过采用类似的多维框架,印度和其他国家可以确定既能实现粮食安全又能同时实现多个可持续性目标的解决方案。