Table_2_From future diets to dishes: communicating dietary shift associated with a 1.5°C scenario for Brazil, China, Sweden and the United Kingdom.XLSX

IntroductionWith the pressing need to mitigate greenhouse gas emissions, this study aims to simplify complex data from Integrated Assessment Models (IAMs). It focuses on identifying dietary shifts that align with the 1.5°C global warming limit as stipulated by the Paris Agreement.
MethodsThe research utilises the IMAGE Integrated Assessment Model and applies the Diets, Dishes, Dish Ingredients (DDDI) communication framework. This methodology enables the visualisation of potential dietary and dish composition changes, thereby making the data more comprehensible to a broader audience.
ResultsThe study effectively translates traditional IAM outputs into accessible visualisations. These visual tools provide a nuanced understanding of a low greenhouse gas diet, extending its relevance beyond academia to include professionals in diet and nutrition.
DiscussionThis research stands as a significant advancement in the field, lowering the barrier to understanding sustainable diets for the future. It enriches the existing dialogue on dietary change and climate goals and serves as a catalyst for further research and practical applications in diverse contexts.

引言：随着减缓温室气体排放的迫切需求，本研究旨在简化综合评估模型（Integrated Assessment Models，IAMs）的复杂数据。本研究聚焦于识别符合《巴黎协定》规定的1.5℃全球升温阈值的饮食结构转变。
研究方法：本研究采用IMAGE综合评估模型，并应用「膳食、菜品及菜品原料（Diets, Dishes, Dish Ingredients，DDDI）」传播框架。该方法可实现潜在膳食与菜品构成变化的可视化，从而让更广泛的受众能够理解相关数据。
研究结果：本研究成功将传统综合评估模型的输出转化为易于理解的可视化工具。这些可视化工具能够让使用者深入理解低碳温室气体排放膳食，其应用场景已超越学术领域，延伸至膳食与营养专业人士群体。
讨论：本研究在该领域实现了重要进展，降低了未来人群理解可持续膳食的门槛。它丰富了现有关于膳食转变与气候目标的讨论，并可为不同场景下的后续研究与实际应用提供催化作用。