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Regional or global? The question of low-emission food sourcing addressed with spatial optimization modelling

机译:区域性还是全球性?空间优化模型解决低排放食品采购问题

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Does producing staple food locally cause fewer greenhouse gas emissions than food sourced through imports from another continent? To address this question we used a spatial optimization approach that minimized greenhouse gas emissions from production and transport of five food commodities (barley, maize, oil, sugar and wheat) and compared this to a setting of local production where distances between production and consumption were minimized. We focused, on the example of two countries - Brazil and Germany - in order to allow modelling at high spatial resolution. In the model, a minimization of greenhouse gas emissions led to an allocation of large shares of production to locations abroad. In contrast, the local production case, optimized on distance only, resulted in higher greenhouse gas emissions. Our findings show that despite additional transport needs for imports, specialization of countries on the production of specified crops can represent a low climate impact strategy. (C) 2016 Elsevier Ltd. All rights reserved.
机译:与从另一大洲进口的食物相比,在当地生产主食是否会减少温室气体排放?为了解决这个问题,我们使用了一种空间优化方法,该方法可以最大程度地减少五种食品(大麦,玉米,石油,糖和小麦)的生产和运输所产生的温室气体排放,并将其与当地生产之间的距离进行比较,其中生产与消费之间的距离为最小化。我们以巴西和德国这两个国家为例,以实现高空间分辨率的建模。在该模型中,温室气体排放量的最小化导致将大量生产分配到国外。相反,仅在距离上进行了优化的本地生产案例导致了更高的温室气体排放量。我们的研究结果表明,尽管进口有额外的运输需求,但在特定作物的生产上对国家进行专业化可以代表低气候影响策略。 (C)2016 Elsevier Ltd.保留所有权利。

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