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澳大利亚可持续粮食和土地系统规划中的多目标情景发现

Multi-target scenario discovery to plan for sustainable food and land systems in Australia.

作者信息

Navarro Garcia Javier, Marcos-Martinez Raymundo, Mosnier Aline, Schmidt-Traub Guido, Javalera Rincon Valeria, Obersteiner Michael, Perez Guzman Katya, Thomson Marcus J, Penescu Liviu, Douzal Clara, Bryan Brett A, Hadjikakou Michalis

机构信息

CSIRO Agriculture and Food, Brisbane, Australia.

CSIRO Land and Water, Canberra, Australia.

出版信息

Sustain Sci. 2023;18(1):371-388. doi: 10.1007/s11625-022-01202-2. Epub 2022 Sep 5.

Abstract

UNLABELLED

The development of detailed national pathways towards sustainable food and land systems aims to provide stakeholders with clarity on how long-term goals could be achieved and to reduce roadblocks in the way to making commitments. However, the inability to perfectly capture the relationships between all variables in a system and the unknown probability of future values (deep uncertainty) makes it very difficult to design scenarios that account for the full breadth of system uncertainty. Here we use scenario discovery to systematically explore the effect of different parameter ranges on model outputs, and design resilient pathways to sustainability in which multiple target achievement requires a broad portfolio of solutions. We use a model of the Australian food and land system, the FABLE (Food, Agriculture, Biodiversity, Land-use, Energy) Calculator, to investigate conditions for achieving a sustainable Australian food and land system under scenarios based on the Shared Socioeconomic Pathways (SSP) 1, 2, and 3 narratives. Here we link the FABLE Calculator with a Monte Carlo simulation tool to explore hundreds of thousands of scenarios. This allows us to identify the ranges of systemic drivers that achieve multiple sustainability targets around diets, net forest growth, agricultural water consumption, greenhouse gas emissions, biodiversity conservation, and exports by 2050. Our results show that livestock productivity and density, afforestation, and dietary change are powerful influencers for sustainability target achievement. Around 10% of the SSP1 scenarios could achieve all modelled sustainability targets. However, practically none of the scenarios based on SSP2 and SSP3 narratives could achieve such targets. The results suggest that there are options to achieve a more sustainable and resilient Australian food and land-use system with better socio-economic and environmental outcomes than under current trends. However, its achievement requires significant structural changes and coordinated interventions in several components of the domestic food and land system to increase its resilience and environmental and socio-economic performance. Understanding the bounds within which this system needs to change and operate to achieve sustainability targets will enable greater clarity and flexibility during discussions between decision-makers and stakeholders.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11625-022-01202-2.

摘要

未标注

制定详细的国家可持续粮食和土地系统路径旨在让利益相关者清楚了解如何实现长期目标,并减少做出承诺过程中的障碍。然而,由于无法完美捕捉系统中所有变量之间的关系以及未来值的未知概率(深度不确定性),设计能够考虑到系统不确定性全貌的情景变得非常困难。在此,我们使用情景发现方法系统地探索不同参数范围对模型输出的影响,并设计可持续发展的弹性路径,其中多个目标的实现需要一系列广泛的解决方案。我们使用澳大利亚粮食和土地系统模型FABLE(粮食、农业、生物多样性、土地利用、能源)计算器,基于共享社会经济路径(SSP)1、2和3的叙述来研究在不同情景下实现澳大利亚可持续粮食和土地系统的条件。在此,我们将FABLE计算器与蒙特卡洛模拟工具相链接,以探索数十万种情景。这使我们能够确定到2050年在饮食、森林净增长、农业用水消耗、温室气体排放、生物多样性保护和出口等方面实现多个可持续发展目标的系统驱动因素范围。我们的结果表明,牲畜生产力和密度、造林以及饮食变化是实现可持续发展目标的有力影响因素。约10%的SSP1情景能够实现所有模拟的可持续发展目标。然而,基于SSP2和SSP3叙述的情景几乎没有一个能够实现这些目标。结果表明,存在一些选项可以实现比当前趋势下更具可持续性和弹性的澳大利亚粮食和土地利用系统,同时带来更好的社会经济和环境成果。然而,要实现这一目标,需要对国内粮食和土地系统的多个组成部分进行重大结构变革和协调干预,以提高其弹性以及环境和社会经济绩效。了解该系统为实现可持续发展目标而需要改变和运行的范围,将使决策者和利益相关者之间的讨论更加清晰和灵活。

补充信息

在线版本包含可在10.1007/s11625-022-01202-2获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe10/9442575/ebe40fe6aaec/11625_2022_1202_Fig1_HTML.jpg

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