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Water resources and their use in food production systems

机译:水资源及其在粮食生产系统中的使用

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National scale assessments of global water scarcity predict that by 2050 as much as 66% of the world's future population will experience some water stress and that water requirements for food production will be a major issue. However, practical planning and management of water resources requires models with greater spatial and temporal resolution. Such models give improved (higher) estimates of the number of people at risk and how these might change as the population grows. Further improvements to these models require local/basin scale water resource data and, ultimately, the integration of relevant social, economic, institutional and legal information. An example of how progress might be made with this complex task of integration is given in the paper. Although the above models are important for the identification and management of water resources issues, the crux of the food production issue lies in improving the efficiency with which food is produced from existing water and land resources. Water use efficiency can be increased in irrigated and rainfed systems using both physical and non-physical means. Substantial improvements are possible by maximizing transpiration and/or increasing the yield per unit of water transpired. The former is most practicable in systems with low water use efficiency and can be achieved mainly via managerial and/or institutional improvements, while the latter is more appropriate in systems with higher water use efficiency, via introducing agronomic and/or other technical improvements. There is also scope for improving water use efficiency and food production by considering larger catchment scales, where water can be recycled within irrigation schemes or moved between different rainfed parts of the landscape. This holistic approach to catchment water management allows the upstream/downstream impacts of improvements in agricultural water use efficiency to be taken into account and further emphasises the need for integration of both physical information and socio-economic factors if truly sustainable solutions are to be achieved. Future global change research, in both the physical and social sciences, has a major role to play in addressing this real and immediate challenge.
机译:全国范围内对全球水资源短缺的评估预测,到2050年,全球未来人口中将有66%面临水资源压力,粮食生产所需的水将是一个主要问题。但是,水资源的实际规划和管理需要具有更高时空分辨率的模型。这样的模型可以对(处于危险中的)人数进行改进(更高)的估计,以及随着人口的增长而可能发生的变化。对这些模型的进一步改进需要地方/流域规模的水资源数据,并最终整合相关的社会,经济,体制和法律信息。本文提供了一个示例,说明如何通过此复杂的集成任务取得进展。尽管上述模型对于识别和管理水资源问题很重要,但粮食生产问题的症结在于提高利用现有水资源和土地资源生产粮食的效率。在灌溉和雨养系统中使用物理和非物理方法均可提高用水效率。通过最大程度地提高蒸腾作用和/或增加单位蒸腾出的水量,可能会取得重大改进。前者在水利用效率低的系统中最可行,并且可以主要通过管理和/或机构改进来实现,而后者在水利用效率较高的系统中通过引入农艺和/或其他技术改进更为合适。通过考虑更大的集水规模,还有提高水利用效率和粮食生产的空间,在这里可以将水在灌溉方案中进行循环利用,或在景观的不同雨养地区之间转移。这种对流域水管理的整体方法可以考虑到提高农业用水效率的上游/下游影响,并进一步强调,如果要实现真正的可持续解决方案,则必须整合物理信息和社会经济因素。在物理和社会科学领域,未来的全球变化研究都将在应对这一现实而紧迫的挑战中发挥重要作用。

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