Track-1- Food-Energy-Water Nexus in the Deep South: A Latent System Primed for Transition From Rain-fed to Irrigation-fed Agriculture

Track-1- 南方腹地的粮食-能源-水关系：一个为从雨水灌溉农业向灌溉灌溉农业转变做好准备的潜在系统

• 批准号: 1856054
• 负责人: Hamid Moradkhani
• 金额: $ 174.98万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1856054&HistoricalAwards=false
• 关键词: Track; Food; Energy; Water; Nexus

The Deep South states, including Alabama, Mississippi, Louisiana and Georgia, continue to experience one of the highest poverty rates in the nation. As agriculture plays a significant role in the economies of these states, one potential option for their economic resurgence is through a drastic increase in agricultural productivity. This project considers such an option based on a scenario of a transition from rain-fed to irrigation-fed (RFtoIF) agriculture. The project is conducted in the Mobile River Basin encompassing portions of Alabama, Georgia and Mississippi. Given that food, energy and water (FEW) systems are intricately linked within the basin, the study will evaluate the impacts of RFtoIF agriculture transition on the distribution-of and interactions-between these three resource systems. Through established relationships and collaboration with the stakeholders in Alabama, the project provides an opportunity for the investigators and relevant stakeholders to facilitate identification of the barriers and incentives needed to spur RFtoIF transition in the Deep South, as well as to discuss the significance of findings, identify ways for improving their impacts, and enabling informed decision making. The overarching goal of this project is to develop a refined assessment of the feasibility of transition from rain-fed to irrigation-fed agriculture and the potential ensuing impacts on food-water-energy nexus in regions of the Deep South. In this regard, the project will study FEW systems nexuses for: (a) a business-as-usual scenario, in order to set a baseline; and (b) scenarios depicting varied intensities of transition from rain-fed to irrigation-fed agriculture. RFtoIF intensities are considered for a range of anticipated copped area transition. Through established relationships and collaboration with the stakeholders in Alabama, the project will provide an opportunity for the investigators and relevant stakeholders to further discuss the significance of findings and identify ways for improving the impacts. The project creates a fundamental body of knowledge on RFtoIF agriculture transition in a water-plenty environment. Specifically, the project answers three questions: 1) What will be the potential increase in crop productivity and revenue if RFtoIF is implemented, and can the irrigation schedule be optimized to minimize associated costs? 2) How does RFtoIF transition affect the operations of water-supply reservoirs, power plants, and riverine navigation? and 3) How do climatological, sociological and economic factors influence farmer's receptiveness to RFtoIF transition? Findings from this project will delineate a better quantitative picture of the FEW systems nexus and assessment of integrated costs, thus facilitating harmonious apportioning by resource managers under a RFtoIF transition scenario. Furthermore, it facilitates identification of the barriers and incentives needed to spur RFtoIF transition in the Deep South, thus enabling informed decision making. This project is jointly funded by INFEWS and the Established Program to Stimulate Competitive Research (EPSCoR); and managed by the GEOSCIENCES Directorate.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

包括阿拉巴马州、密西西比州、路易斯安那州和佐治亚州在内的南方腹地各州，仍然是美国贫困率最高的地区之一。由于农业在这些州的经济中扮演着重要的角色，它们经济复苏的一个潜在选择是通过大幅提高农业生产力。本项目基于从雨养农业向灌溉农业（RFtoIF）过渡的情景考虑了这一选择。该项目在莫比尔河流域进行，包括阿拉巴马州、佐治亚州和密西西比州的部分地区。鉴于粮食、能源和水（FEW）系统在流域内错综复杂地联系在一起，本研究将评估RFtoIF农业转型对这三个资源系统之间的分配和相互作用的影响。通过与阿拉巴马州的利益相关者建立关系和合作，该项目为研究人员和相关利益相关者提供了一个机会，以促进识别促进南方腹地RFtoIF过渡所需的障碍和激励措施，并讨论研究结果的重要性，确定改善其影响的方法，并使知情决策成为可能。该项目的总体目标是对从雨养农业向灌溉农业过渡的可行性以及对南方腹地地区粮食-水-能源关系的潜在影响进行精确评估。在这方面，该项目将研究少数系统的联系：(a)一个一切照旧的情景，以便设定基线；(b)描述从雨养农业向灌溉农业转变的不同强度的情景。RFtoIF强度被考虑在预期的覆盖面积转变范围内。通过与阿拉巴马州利益相关者建立的关系和合作，该项目将为调查人员和相关利益相关者提供一个机会，进一步讨论调查结果的重要性，并确定改善影响的方法。该项目建立了一个关于在水资源充足的环境下RFtoIF农业转型的基本知识体系。具体来说，该项目回答了三个问题：1)如果实施RFtoIF，作物生产力和收入的潜在增长将如何？能否优化灌溉计划以最大限度地降低相关成本？2) RFtoIF的转换如何影响供水水库、发电厂和河流航运的运行？3)气候、社会和经济因素如何影响农民对RFtoIF转型的接受程度？这个项目的研究结果将更好地描绘出少数资源系统联系和综合成本评估的定量图景，从而促进资源管理人员在区域资源基金过渡情景下的和谐分配。此外，它有助于确定促进RFtoIF在南方腹地过渡所需的障碍和激励措施，从而实现明智的决策。该项目由infws和促进竞争性研究的既定计划（EPSCoR）共同资助；并由地球科学局管理。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus

• DOI: 10.3390/land9120519
• 发表时间: 2020-12
• 期刊: Land
• 影响因子: 3.9
• 作者: N. Magliocca

Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction

• DOI: 10.1016/j.agrformet.2021.108773
• 发表时间: 2022-03-01
• 期刊: AGRICULTURAL AND FOREST METEOROLOGY
• 影响因子: 6.2
• 作者: Abbaszadeh, Peyman;Gavahi, Keyhan;Moradkhani, Hamid
• 通讯作者: Moradkhani, Hamid

Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration

• DOI: 10.1038/s41558-020-0781-5
• 发表时间: 2020-06-01
• 期刊: NATURE CLIMATE CHANGE
• 影响因子: 30.7
• 作者: Liu, Yanlan;Kumar, Mukesh;Konings, Alexandra G.
• 通讯作者: Konings, Alexandra G.

Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland Inundation Dynamics

洪水驱动因素、海平面上升和疏浚方案对船舶适航性和湿地淹没动态的复合影响

• DOI: 10.3389/fmars.2022.906376
• 发表时间: 2022
• 期刊: Frontiers in Marine Science
• 影响因子: 3.7
• 作者: Muñoz, David F.;Moftakhari, Hamed;Kumar, Mukesh;Moradkhani, Hamid
• 通讯作者: Moradkhani, Hamid

Assessing the Representativeness of Irrigation Adoption Studies: A Meta-Study of Global Research

• DOI: 10.3390/agriculture12122105
• 发表时间: 2022-12
• 期刊: Agriculture
• 作者: Ruchie Pathak;N. Magliocca