Integrated data across multiple and diverse disciplines are essential for developing a sustainable food system

Integrated data across multiple and diverse disciplines are essential for developing a sustainable food system
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跨多个不同学科的综合数据对于发展可持续粮食系统至关重要

DOI:
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发表时间:
2019
影响因子:
3.9
通讯作者:
N. Fukagawa
N. Fukagawa
中科院分区:
农林科学4区
文献类型:
--
作者:
J. Finley;N. Fukagawa

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美国农业部农业研究局 (ARS) 开展对美国农业和粮食供应有价值的研究。过去进行的大多数研究本质上都是还原论,并且主要是一维或二维的。然而,养活迅速增长的世界人口、维持粮食供应既能提供充足的营养又不会导致肥胖和其他慢性疾病,又能解决农业对环境和环境造成的影响,这些相互冲突的挑战已经改变了任务的复杂性。当今的挑战已变得多维,需要跨多个不同学科的系统型方法。这些项目跨越了传统界限,寻求在减少环境影响、保持或增加最终影响公众健康的营养价值的背景下优化农业生产力。简而言之,新项目必须采用系统方法,而从这种方法中获得的协同作用只有通过对不同数据集进行同步建模才能实现,这就需要一种新的数据方法。
The USDA Agricultural Research Service (ARS) conducts research of value to US agriculture and the food supply. Most research conducted in the past has been reductionist in nature and primarily one- or two-dimensional. However, the colliding challenges of feeding a burgeoning world population, maintaining a food supply that both provides sufficient nutrition without contributing to obesity and other chronic diseases and addresses the impact of agriculture on, as well as by, the environment, have changed the complexity of the task. Today's challenges have become multidimensional, requiring systems-type approaches across multiple and diverse disciplines. These projects cut across traditional boundaries and seek to optimize agricultural productivity within the context of reducing environmental impact and maintaining or increasing nutritional value that ultimately impacts public health. In short, new projects must take a systems approach, and the synergy gained from this approach is only made possible by simultaneous modeling of disparate data sets, demanding a new approach to data.
DOI: 10.1056/nejmsa1012065
发表时间: 2011-03-03
期刊: The New England journal of medicine
影响因子: --
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