Università Degli Studi Della Tuscia, DIBAF, via Camillo de Lellis 4, 01100, Viterbo, Italy.
Barilla Center for Food & Nutrition Foundation, via Madre Teresa di Calcutta, 3/a, Parma, Italy.
Sci Data. 2021 May 7;8(1):127. doi: 10.1038/s41597-021-00909-8.
Informing and engaging citizens to adopt sustainable diets is a key strategy for reducing global environmental impacts of the agricultural and food sectors. In this respect, the first requisite to support citizens and actors of the food sector is to provide them a publicly available, reliable and ready to use synthesis of environmental pressures associated to food commodities. Here we introduce the SU-EATABLE LIFE database, a multilevel database of carbon (CF) and water (WF) footprint values of food commodities, based on a standardized methodology to extract information and assign optimal footprint values and uncertainties to food items, starting from peer-reviewed articles and grey literature. The database and its innovative methodological framework for uncertainty treatment and data quality assurance provides a solid basis for evaluating the impact of dietary shifts on global environmental policies, including climate mitigation through greenhouse gas emission reductions. The database ensures repeatability and further expansion, providing a reliable science-based tool for managers and researcher in the food sector.
让公民了解并参与可持续饮食是减少农业和食品部门对全球环境影响的关键策略。在这方面，支持公民和食品部门参与者的首要条件是为他们提供一个公开可得、可靠且易于使用的与食品商品相关的环境压力综合信息。在这里，我们介绍了 SU-EATABLE LIFE 数据库，这是一个基于标准化方法的食品商品碳（CF）和水（WF）足迹值的多层次数据库，该方法从同行评议的文章和灰色文献中提取信息，并为食品项目分配最佳足迹值和不确定性。该数据库及其创新的不确定性处理和数据质量保证方法框架为评估饮食变化对全球环境政策的影响提供了坚实的基础，包括通过减少温室气体排放来缓解气候。该数据库确保了可重复性和进一步扩展，为食品部门的管理者和研究人员提供了一个可靠的基于科学的工具。
