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Scenarios for the Austrian food chain in 2020 and its landscape impacts.

机译:2020年奥地利食物链的情景及其景观影响。

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How the future landscape will look depends particularly on the outcome of the socio-economically motivated decisions of farmers, food processors, retailers and consumers, all members of the food supply chain. However, a long-term perspective on the food supply chain and its landscape effects is confronted with a great deal of uncertainty and data constraints. These difficulties can be partly avoided by using the personal judgements of agents whose decisions control the structure of present and future food supply chains. A well-established agent-based method for dealing with and describing variation in the future is the method of scenario planning. The aim of this paper is to present the application of the scenario approach to the Austrian food supply chain in 2020 and its landscape impacts. A critical discussion of the scenarios should reflect their explanatory power regarding future development options for landscapes. The first section of the paper outlines the interactions between society, the food supply chain and the landscape in a conceptual model. It describes the applied scenario technique and the research setting involving agents from agriculture, the food industry, retailing, gastronomy, and consumer organizations. Four scenarios for the food chain in 2020 are presented (Liberal Market Scenario, Protective Policy Scenario, Fast World Scenario, Slow World Scenario) and their respective consequences and strategies are discussed. The scenario technique used is found to be a useful means of gathering and structuring disperse expert knowledge. The paper concludes that - despite some methodological limitations - scenarios can deal with uncertainty concerning the socio-economic driving forces of landscape change and therefore can be used as a preliminary step in formulating robust strategies for landscape management.
机译:未来的前景将如何看,尤其取决于农民,食品加工者,零售商和消费者以及食品供应链中所有成员的社会经济动机决定的结果。然而,从长远角度看待食品供应链及其景观影响面临着许多不确定性和数据限制。通过使用代理商的个人判断可以部分避免这些困难,这些代理商的决定控制着当前和未来食品供应链的结构。一种成熟的基于代理的方法来处理和描述将来的变化是方案规划的方法。本文的目的是介绍情景方法在2020年奥地利食品供应链中的应用及其对景观的影响。对方案的批判性讨论应反映其对景观未来开发方案的解释力。本文的第一部分在概念模型中概述了社会,食品供应链和景观之间的相互作用。它描述了应用场景技术以及涉及农业,食品工业,零售,美食和消费者组织的代理商的研究环境。介绍了2020年食物链的四种情景(自由市场情景,保护政策情景,快速世界情景,慢速世界情景),并讨论了它们各自的后果和策略。发现使用的场景技术是收集和构建分散的专家知识的有用手段。本文的结论是,尽管存在一些方法上的局限性,但情景可以处理有关景观变化的社会经济驱动力的不确定性,因此可以用作制定强有力的景观管理策略的第一步。

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