INFEWS/T2: Sustainable Agriculture in the Nexus of Food, Energy, Water and Nutrient on National and Global Scales

INFEWS/T2：国家和全球范围内粮食、能源、水和营养物关系中的可持续农业

• 批准号: 1739823
• 负责人: Xin Zhang
• 金额: $ 125.25万
• 依托单位: University of Maryland Center for Environmental Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739823&HistoricalAwards=false
• 关键词: INFEWS; T2; Sustainable; Agriculture; Nexus

To meet the growing global demand for food and bioenergy, agricultural production must nearly double by 2050, placing additional pressures on land and water resources. How and where to increase agricultural production is critical for the sustainability and resilience of food and energy supply, but is poorly understood. Therefore, we will synthesize multidisciplinary data and develop models to assist decision making on agricultural intensification strategies, including technology advancement and international trade. This project will advance the knowledge in the food-energy-water system regarding sustainable and resilient agricultural production on national to global scales, while providing timely inputs to ongoing changes in national policies regarding agriculture, trade, environment, and national security.The overarching goal of this project is to develop and evaluate strategies on national and global scales that increase agricultural production sustainably with an integrated cyber-human-physical system. To achieve this goal, the project will: 1) develop an indicator system and a database to measure several aspects of sustainability and resilience of agricultural production; 2) analyze and model the impacts of technologies and management practices, resource inputs, and climate on yield; 3) improve the representation of crop management in the Global Change Assessment Model to project the impacts of agricultural intensification; 4) develop a decision-support tool to optimize domestic intensification and international trade for sustainable agricultural production; and 5) pilot a cross-cultural learning exchange program to engage American and Chinese high schools in system thinking in the context of agriculture sustainability.

为了满足全球对粮食和生物能源日益增长的需求，农业生产到2050年必须几乎翻一番，这给土地和水资源带来了额外的压力。如何以及在哪里增加农业产量对于粮食和能源供应的可持续性和弹性至关重要，但人们对此知之甚少。因此，我们将综合多学科数据并开发模型，以协助农业集约化战略的决策，包括技术进步和国际贸易。该项目将促进粮食-能源-水系统对国家乃至全球范围内可持续和有复原力的农业生产的了解，同时为国家农业、贸易、环境、该项目的总体目标是制定和评估国家和全球范围内的战略，以可持续的方式增加农业生产，网络-人-物系统为了实现这一目标，该项目将：1）开发一个指标体系和一个数据库，以衡量农业生产的可持续性和恢复力的几个方面; 2）分析和模拟技术和管理实践、资源投入和气候对产量的影响; 3）改善作物管理在全球变化评估模型中的代表性，以预测农业集约化的影响; 4）开发决策支持工具，优化国内集约化和国际贸易，促进可持续农业生产; 5）试点跨文化学习交流项目，让美国和中国的高中在农业可持续性的背景下进行系统思考。

项目成果

A framework for nitrogen futures in the shared socioeconomic pathways

• DOI: 10.1016/j.gloenvcha.2019.102029
• 发表时间: 2020-03-01
• 期刊: GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
• 影响因子: 8.9
• 作者: Kanter, David R.;Winiwarter, Wilfried;Zurek, Monika
• 通讯作者: Zurek, Monika

Quantitative assessment of agricultural sustainability reveals divergent priorities among nations

• DOI: 10.1016/j.oneear.2021.08.015
• 发表时间: 2021-09
• 期刊: One Earth
• 影响因子: 16.2
• 作者: Xin Zhang;Guolin Yao;S. Vishwakarma;C. Dalin;A. Komarek;D. Kanter;K. Davis;Kimberly J. Pfeifer;Jing Zhao;T. Zou;P. D’Odorico;C. Folberth;Fernando Galeana Rodriguez;J. Fanzo;L. Rosa;W. Dennison;Mark Musumba;Amy Heyman;E. Davidson

Insurance risk assessment in the face of climate change: Integrating data science and statistics

• DOI: 10.1002/wics.1462
• 发表时间: 2019-04
• 期刊: Wiley Interdisciplinary Reviews: Computational Statistics
• 作者: V. Lyubchich;N. Newlands;A. Ghahari;Tahir Mahdi;Y. Gel

SUSTAINABLE NITROGEN MANAGEMENT INDEX: DEFINITION, GLOBAL ASSESSMENT AND POTENTIAL IMPROVEMENTS

可持续氮管理指数：定义、全球评估和潜在改进

• DOI: 10.15302/j-fase-2022458
• 发表时间: 2022
• 期刊: Frontiers of Agricultural Science and Engineering
• 影响因子: 3.7
• 作者: ZHANG, Xin;WANG, Yanyu;SCHULTE-UEBBING, Lena;VRIES, Wim DE;ZOU, Tan;DAVIDSON, Eric A.
• 通讯作者: DAVIDSON, Eric A.

Inferring Controls on Dissolved Oxygen Criterion Attainment in the Chesapeake Bay

• DOI: 10.1021/acsestwater.0c00307
• 发表时间: 2021-08
• 期刊: ACS ES&T Water
• 作者: R. Langendorf;V. Lyubchich;J. Testa;Qian Zhang