Designing sustainable healthy diets: Analysis of two modelling approaches

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
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Abstract

There is an urgent need for a transition to healthy diets that can be produced in a sustainable food system. Different modelling approaches are used to understand what constitutes such sustainable healthy diets. Diet optimization and environmental food system optimization are modelling approaches that are developed from different angles, i.e. either starting from dietary changes or from food system changes. The aim of this study was to investigate the consequences of using a diet optimization model or an environmental food system optimization model on the healthiness, the environmental impact, the cultural acceptability, and the composition of modelled diets. To illustrate these consequences we used CiFoS (Circular Food System) and SHARP (Sustainable, Healthy, Affordable, Reliable, and Preferable diets) as case models. CiFoS is a biophysical environmental food system optimization model that allows to redesign the food system to produce a (healthy) diet for the current or future population within planetary boundaries. SHARP is a diet optimization model that is based on benchmarking and aims to calculate healthier and more sustainable diets that are acceptable for consumers. We found that both optimization approaches have unique applications in time scale (long vs short term solutions), geographic scale (national vs continental scale) and an individual versus a population approach. However, due to different approaches in calculating environmental impacts, accounting for co-products and biophysical boundaries in the food system, translating commodities into realistic diets, and considering cultural acceptability, modelled diets from these two approaches are not comparable. These findings show that, when used in the right context, both models provide unique insights in how sustainable healthy diets may be achieved, but also stress the need to understand the methodology behind models. This paper is an important step in strengthening the integration of different disciplines to make well informed decisions for healthy diets within planetary boundaries.

目前迫切需要过渡到可在可持续粮食系统中生产的健康饮食。我们采用不同的建模方法来了解什么是可持续的健康饮食。膳食优化和环境食物系统优化是从不同角度开发的建模方法,即从膳食变化或食物系统变化出发。本研究的目的是调查使用膳食优化模型或环境食品系统优化模型对健康、环境影响、文化可接受性和模型膳食组成的影响。为了说明这些后果,我们使用了 CiFoS(循环食品系统)和 SHARP(可持续、健康、可负担、可靠和可取的膳食)作为案例模型。CiFoS 是一个生物物理环境食物系统优化模型,可以重新设计食物系统,在地球范围内为当前或未来的人口提供(健康)饮食。SHARP 是一种基于基准的膳食优化模型,旨在计算出消费者可接受的更健康、更可持续的膳食。我们发现,这两种优化方法在时间尺度(长期解决方案与短期解决方案)、地理尺度(国家尺度与大陆尺度)以及个人方法与人口方法方面都有独特的应用。然而,由于在计算环境影响、考虑食品系统中的副产品和生物物理边界、将商品转化为现实膳食以及考虑文化接受度等方面采用了不同的方法,这两种方法所模拟的膳食并不具有可比性。这些研究结果表明,如果使用得当,这两种模型都能为如何实现可持续健康膳食提供独特的见解,但同时也强调了理解模型背后的方法论的必要性。本文是加强不同学科整合的重要一步,有助于在地球边界内为健康饮食做出明智决策。
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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