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CNH-S: Socio-Economic Factors, Land and Water Quality, and the Dynamics Between Rural and Urban Zones of Food Production and Consumption.

CNH-S：社会经济因素、土地和水质以及城乡粮食生产和消费的动态。

基本信息

批准号：
1824949
负责人：
Manoj Jha
金额：
$ 75万
依托单位：
North Carolina Agricultural & Technical State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824949&HistoricalAwards=false
关键词：
CNH Socio Economic Factors Land

项目摘要

This project will model linkages between biophysical processes and socio-economic factors and how these impact regional agricultural production and food consumption patterns that contribute to regional food security. The model will simulate the dynamic relationships and interactions between agricultural producer's decisions, food consumer's decisions, and the processes that influence land and water quality, and how these interact, resulting in areas with low food accessibility. The research will be conducted in geographically varied settings in North Carolina with changing demographic profiles. The project will be conducted by investigators at two Historically Black Colleges and Universities and will help develop scientific research capacity. The project will include research and educational experiences for underrepresented undergraduate as well as graduate students, and will also provide research training for a post-doctoral fellow, further building research capacity. The project will also include stakeholder (local and state planning agencies, extension agents, agricultural producers, and food retailers) engagement and contribute to facilitating the design, development, and delivery of policy-relevant information, specifically identifying policies that either support or hinder food security. The existence of areas with low accessibility to healthy foods, often referred to as food deserts, have been identified as a serious issue contributing to food insecurity in both urban and rural areas in the U.S, especially in areas where minority populations reside. More integrated and interdisciplinary research is needed to examine and understand the multi-dimensional and complex problems that lead to this condition, and ways to mitigate it. The goal of this project is to better understand the factors that contribute to improving food accessibility, while maximizing agricultural production and minimizing negative environmental impacts on the land and water used in food production. Specifically, the objectives of the project are to (1) build an integrated modeling framework that includes natural system models (biophysical model, GIS land use model), human system models (production model, consumption model), and integrated procedures (multi-agent simulation) to link human systems to natural systems; (2) to validate the reliability and the robustness of the database and the integrated modeling framework in selected study areas; and (3) to create a geo-coded spatial-temporal database for both human factors and natural factors.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.

该项目将模拟生物物理过程和社会经济因素之间的联系，以及这些因素如何影响有助于区域粮食安全的区域农业生产和粮食消费模式。该模型将模拟农业生产者的决策、食品消费者的决策以及影响土地和水质的过程之间的动态关系和相互作用，以及它们如何相互作用，从而导致粮食可及性较低的地区。该研究将在北卡罗来纳州不同的地理环境中进行，人口结构不断变化。该项目将由两所历史悠久的黑人学院和大学的研究人员进行，并将有助于发展科学研究能力。该项目将包括为代表性不足的本科生和研究生提供研究和教育经验，还将为博士后提供研究培训，进一步建设研究能力。该项目还将包括利益相关者（地方和州规划机构、推广机构、农业生产者和食品零售商）的参与，并有助于促进政策相关信息的设计、开发和交付，特别是确定支持或阻碍粮食安全的政策。难以获得健康食品的地区（通常被称为食品沙漠）已被认为是导致美国城市和农村地区粮食不安全的一个严重问题，特别是在少数民族人口居住的地区。需要进行更综合和跨学科的研究来检查和理解导致这种情况的多维和复杂问题以及缓解这种情况的方法。该项目的目标是更好地了解有助于改善粮食可及性的因素，同时最大限度地提高农业生产并最大限度地减少对粮食生产所用土地和水的负面环境影响。具体来说，该项目的目标是（1）建立一个集成的建模框架，包括自然系统模型（生物物理模型、GIS土地利用模型）、人类系统模型（生产模型、消费模型）和集成程序（多主体模拟），将人类系统与自然系统联系起来； (2) 在选定的研究领域验证数据库和集成建模框架的可靠性和稳健性； (3) 创建一个针对人为因素和自然因素的地理编码时空数据库。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，认为值得支持。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Study of active farmland use to support agent-based modeling of food deserts

积极农田利用支持基于主体的食物荒漠建模的研究

DOI：
10.5194/isprs-archives-xliv-m-2-2020-9-2020
发表时间：
2020
期刊：
The international archives of the photogrammetry remote sensing and spatial information sciences
影响因子：
0
作者：
Dhamankar, S.S.;Hashemi-Beni, L.;Kurkalova, L.A.;Liang, C.-L.;Mulrooney, T.;Jha, M.;Monty, G.;Miao, H.
通讯作者：
Miao, H.

Digital High-Scale Food Security Analysis: Challenges, Considerations and Opportunities

数字化大规模粮食安全分析：挑战、考虑因素和机遇