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首页> 外文期刊>The Science of the Total Environment >Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making
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Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making

机译:期货社会环境系统分析的情景进程:近期努力和突出研究议程的回顾

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摘要

This paper reviews the latest research on scenarios including the processes and products for socio-environmental systems (SES) analysis, modeling and decision making. A group of scenario researchers and practitioners participated in a workshop to discuss consolidation of existing research on the development and use of scenario analysis in exploring and understanding the interplay between human and environmental systems. This paper presents an extended overview of the workshop discussions and follow-up review work. It is structured around the essential challenges that are crucial to progress support of decision making and learning with respect to our highly uncertain socio-environmental futures. It identifies a practical research agenda where challenges are grouped according to the process stage at which they are most significant: before, during, and after the creation of the scenarios as products. These challenges for SES include: enhancing the role of stakeholder and public engagement in the co-development of scenarios, linking scenarios across multiple geographical, sectoral and temporal scales, improving the links between the qualitative and quantitative aspects of scenario analysis, addressing uncertainties especially surprise, addressing scenario diversity and their consistency together, communicating scenarios including visualization methods, and linking scenarios to decision making.
机译:本文审查了关于社会环境系统(SES)分析,建模和决策的流程和产品的场景研究。一群情景研究人员和从业者参加了一个研讨会,讨论了巩固了对探索和理解人与环境系统之间相互作用的发展和使用情景分析的研究。本文介绍了研讨会讨论和后续审查工作的概述。它围绕着对我们对我们高度不确定的社会环境期货的决策和学习来实现决策和学习至关重要的基本挑战。它确定了一个实际的研究议程,根据他们最重要的进程阶段进行挑战:在创建场景作为产品之前,期间和之后。这些挑战包括:提高利益攸关方的作用和公众参与在方案的共同发展,跨多个地理,部门和时间尺度的联系方案,改善了情景分析的定性和定量方面之间的联系,应对不确定性尤其惊讶,解决方案分集及其一致性,传播包括可视化方法的方案,以及将场景链接到决策。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第10期|138393.1-138393.18|共18页
  • 作者单位

    Capability Systems Centre University of New South Wales Australian Defence Force Academy Canberra ACT Australia Institute for Water Futures Fenner School of Environment and Society Australian National University Canberra ACT Australia;

    Institute for Water Futures Fenner School of Environment and Society Australian National University Canberra ACT Australia CSIRO Land and Water Canberra ACT Australia;

    Institute for Water Futures Fenner School of Environment and Society Australian National University Canberra ACT Australia;

    University of Denver Josef Korbel School of International Studies Denver USA;

    Department of Knowledge Integration Faculty of Environment University of Waterloo Canada;

    Renewable Energy Systems Institute for Environmental Sciences Section of Earth and Environmental Sciences University of Geneva Switzerland;

    Stockholm Environment Institute Stockholm Sweden;

    BlueGreen Initiative Inc Bridgetown Barbados;

    Gateway Antarctica University of Canterbury Christchurch New Zealand;

    Institute for Water Futures Fenner School of Environment and Society Australian National University Canberra ACT Australia;

    CIRED Ecole des Ponts France;

    Deltares Delft the Netherlands Utrecht University Utrecht the Netherlands;

    Stockholm Environment Institute Somerville MA USA;

    Environmental Systems Analysis Group Wageningen University & Research Wageningen the Netherlands;

    ZIRIUS - Research Center for Interdisciplinary Risk and Innovation Studies University of Stuttgart Germany;

    Capability Systems Centre University of New South Wales Australian Defence Force Academy Canberra ACT Australia;

    Research Institute for Knowledge Systems (RIKS) Hertogsingel 11B 6211 NC Maastricht the Netherlands School of Civil Environmental and Mining Engineering The University of Adelaide Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Uncertainty; Stakeholders; Consistency; Diversity; Story-and-simulation; Cross-sectoral; Policy;

    机译:不确定;利益攸关方;一致性;多样性;故事和模拟;跨部门;政策;

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