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A backcasting approach for matching regional ecosystem services supply and demand

机译:用于匹配区域生态系统服务供需的一种后推方法

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Ecosystem services (ES) modeling studies typically use a forecasting approach to predict scenarios of future ES provision. Usually, these forecasts do not inform on how specific policy alternatives will influence future ES supply and whether this supply can match ES demand important information for policy-makers in practice. Addressing these gaps, we present a multi-method backcasting approach that links normative visions with explorative land-use and ES modeling to infer land-use policy strategies for matching regional ES supply and demand. Applied to a case study, the approach develops and evaluates a variety of ES transition pathways and identifies types, combinations and timings of policy interventions that increase ES benefits. By making explicit ES sensitivity towards regional policy strategies and global boundary conditions over time, the approach allows to address key uncertainties involved in ES modeling studies. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
机译:生态系统服务(ES)建模研究通常使用预测方法来预测未来ES提供的情况。通常,这些预测并不能说明特定的政策替代方案将如何影响未来的ES供应,以及这种供应是否可以与ES匹配,从而在实践中为决策者提供重要信息。为了解决这些差距,我们提出了一种多方法的后推方法,该方法将规范性愿景与探索性土地利用和生态系统建模联系起来,以推断出符合区域生态系统供求关系的土地使用政策策略。该方法应用于案例研究,可以开发和评估各种ES过渡路径,并确定可增加ES收益的政策干预措施的类型,组合和时机。通过随着时间的推移使ES对区域政策策略和全球边界条件具有明显的敏感性,该方法可以解决ES模型研究中涉及的关键不确定因素。 (C)2015作者。由Elsevier Ltd.发布。这是CC BY-NC-ND许可(http://creativecommons.org/licenses/by-nc-nd/4.0/)下的开放获取文章。

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