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Methods for translating narrative scenarios into quantitative assessments of land use change

机译:将叙事情景转化为土地利用变化的定量评估的方法

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摘要

In the land use and land cover (LULC) literature, narrative scenarios are qualitative descriptions of plausible futures associated with a combination of socio-economic, policy, technological, and climate changes. LULC models are then often used to translate these narrative descriptions into quantitative characterizations of possible future societal and ecological impacts and conditions. To respect the intent of the underlying scenario descriptions, this process of translation needs to be thoughtful, transparent, and reproducible. This paper evaluates the current state of the art in scenario translation methods and outlines their relative advantages and disadvantages, as well as the respective roles of stakeholders and subject matter experts. We summarize our findings in the form of a decision matrix that can assist land use planners, scientists, and modelers in choosing a translation method appropriate to their situation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在土地使用和土地覆盖(LULC)文献中,叙述性场景是对与社会经济,政策,技术和气候变化相结合的可能的未来的定性描述。然后,通常使用LULC模型将这些叙述性描述转化为对未来可能的社会和生态影响及状况的定量表征。为了尊重基本方案描述的意图,此翻译过程需要周到,透明且可重现。本文评估了场景翻译方法的最新技术,并概述了它们的相对优缺点,以及利益相关者和主题专家的各自作用。我们以决策矩阵的形式总结我们的发现,可以帮助土地使用规划者,科学家和建模者选择适合他们情况的翻译方法。 (C)2016 Elsevier Ltd.保留所有权利。

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