Collaborative Research: HNDS-I: A global seafood trade network database for sustainable food systems, human health, and nutrition security

合作研究：HNDS-I：可持续粮食系统、人类健康和营养安全的全球海鲜贸易网络数据库

基本信息

批准号：
2121239
负责人：
Christopher Golden
金额：
$ 11.48万
依托单位：
Harvard University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-01-01 至 2025-12-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2121239&HistoricalAwards=false
关键词：
Collaborative Research HNDS global seafood

项目摘要

Around the world, over a quarter of all food is traded internationally. Global trade can provide foods at lower prices, supply more types of foods year-round, and resist local supply shortages, such as crop failures. At the same time, global trade has drawbacks and can pose a risk to food security. For example, environmental disasters can create supply shortages that are passed on to importing countries or nutritious foods can be redirected away from domestic markets. Seafood is an important source of nutrition around the world and is among the most highly traded foods. As a result, it is important to understand when global seafood trade either improves or threatens food and nutrition security. This grant will support the construction of a database that will track the flows of products in the global seafood market. The database will include information on the kinds of seafood that are being traded across countries, who is selling it and who is buying it, and how this network of buyers and sellers changes over time. This project will construct the Aquatic Resource Trade in Species (ARTIS) database which will show the global flow of seafood species for the first time. This database will enable research on the environmental and human outcomes of food system globalization, including a better understanding of the conditions under which trade promotes environmental sustainability, human health, and food security. Research in these areas has been limited by missing data and, for the data that exist, mismatches in the taxonomic and product resolution of the data. The ARTIS database will use techniques of optimization to align public data sets. These linked datasets will be joined to new data on the nutrient content of different kinds of seafood. ARTIS will be available to researchers by publishing the underlying data and code, archiving the data and code with a downloadable R package, and development of an interactive website that will allow users to explore the seafood trade without downloading data or requiring coding skills. The ARTIS database will be important for answering pressing questions about the role of global seafood trade in sustainable food production and nutrition security.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.

在世界各地，全部食品中有四分之一在国际上进行交易。全球贸易可以以较低的价格提供食品，全年提供更多类型的食物，并抵制当地供应短缺，例如农作物失败。同时，全球贸易有缺点，并且可能对粮食安全构成风险。例如，环境灾难可以造成传递给进口国的供应短缺，或者可以将营养食品转移到国内市场。海鲜是全球营养的重要来源，是交易最多的食品之一。结果，重要的是要了解何时全球海鲜贸易改善或威胁食品和营养安全。该赠款将支持一个数据库的构建，该数据库将跟踪全球海鲜市场中产品的流量。该数据库将包括有关跨国家 /地区交易的海鲜种类的信息，谁在出售它，谁在购买它，以及这种买卖双方网络如何随着时间的推移而变化。该项目将在物种（Artis）数据库中构建水上资源贸易，该数据库将首次显示海鲜物种的全球流动。该数据库将对食品系统全球化的环境和人类成果进行研究，包括更好地了解贸易促进环境可持续性，人类健康和粮食安全的条件。这些领域的研究受到数据丢失的限制，对于存在的数据，数据的分类和产品分辨率不匹配。 Artis数据库将使用优化技术来对齐公共数据集。这些链接的数据集将连接到有关不同海鲜的营养含量的新数据。研究人员将通过发布基本数据和代码，使用可下载的R软件包归档数据和代码，以及开发交互式网站，该网站将允许用户探索海鲜贸易而无需下载数据或需要编码技能，可以使用Artis使用。 Artis数据库对于回答有关全球海鲜贸易在可持续粮食生产和营养安全中作用的紧迫问题非常重要。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛的影响评估的评估标准来通过评估来支持的。。