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

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区域农业生产和有助于区域粮食安全的粮食消费模式。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，以及这些过程如何相互作用，从而导致粮食可获得性较低的地区。这项研究将在北卡罗来纳州不同的地理环境中进行，人口统计数据不断变化。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，将有助于发展科学研究能力。该项目将包括代表不足的本科生和研究生的研究和教育经验，还将为博士后研究员提供研究培训，进一步建设研究能力。该项目还将包括利益攸关方(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，并有助于促进与政策相关的信息的设计、开发和交付，特别是确定支持或阻碍粮食安全的政策。健康食品可获得性低的地区，通常被称为食品沙漠，已被认为是导致美国城乡地区粮食不安全的一个严重问题，特别是在少数族裔人口居住的地区。需要更多的综合性和跨学科的研究，以检查和理解导致这种情况的多层面和复杂的问题，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获得性的因素，同时最大限度地提高农业生产，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。具体而言，该项目的目标是：(1)建立一个综合建模框架，其中包括自然系统模型(生物物理模型、地理信息系统土地利用模型)、人类系统模型(生产模型、消费模型)和将人类系统与自然系统联系起来的综合程序(多智能体模拟)；(2)在选定的研究区域内验证数据库和综合建模框架的可靠性和稳健性；以及(3)为人为因素和自然因素创建一个地理编码的时空数据库。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.