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将全球 RCP-SSP-SPA 情景框架应用于国家以下层面:一种多尺度和参与式的情景方法。

Applying the global RCP-SSP-SPA scenario framework at sub-national scale: A multi-scale and participatory scenario approach.

机构信息

Faculty of Engineering and the Environment, Tyndall Centre for Climate Change Research, University of Southampton, Southampton SO17 1BJ, UK.

Faculty of Engineering and the Environment, Tyndall Centre for Climate Change Research, University of Southampton, Southampton SO17 1BJ, UK.

出版信息

Sci Total Environ. 2018 Sep 1;635:659-672. doi: 10.1016/j.scitotenv.2018.03.368. Epub 2018 Apr 24.

DOI:10.1016/j.scitotenv.2018.03.368
PMID:29680757
Abstract

To better anticipate potential impacts of climate change, diverse information about the future is required, including climate, society and economy, and adaptation and mitigation. To address this need, a global RCP (Representative Concentration Pathways), SSP (Shared Socio-economic Pathways), and SPA (Shared climate Policy Assumptions) (RCP-SSP-SPA) scenario framework has been developed by the Intergovernmental Panel on Climate Change Fifth Assessment Report (IPCC-AR5). Application of this full global framework at sub-national scales introduces two key challenges: added complexity in capturing the multiple dimensions of change, and issues of scale. Perhaps for this reason, there are few such applications of this new framework. Here, we present an integrated multi-scale hybrid scenario approach that combines both expert-based and participatory methods. The framework has been developed and applied within the DECCMA project with the purpose of exploring migration and adaptation in three deltas across West Africa and South Asia: (i) the Volta delta (Ghana), (ii) the Mahanadi delta (India), and (iii) the Ganges-Brahmaputra-Meghna (GBM) delta (Bangladesh/India). Using a climate scenario that encompasses a wide range of impacts (RCP8.5) combined with three SSP-based socio-economic scenarios (SSP2, SSP3, SSP5), we generate highly divergent and challenging scenario contexts across multiple scales against which robustness of the human and natural systems within the deltas are tested. In addition, we consider four distinct adaptation policy trajectories: Minimum intervention, Economic capacity expansion, System efficiency enhancement, and System restructuring, which describe alternative future bundles of adaptation actions/measures under different socio-economic trajectories. The paper highlights the importance of multi-scale (combined top-down and bottom-up) and participatory (joint expert-stakeholder) scenario methods for addressing uncertainty in adaptation decision-making. The framework facilitates improved integrated assessments of the potential impacts and plausible adaptation policy choices (including migration) under uncertain future changing conditions. The concept, methods, and processes presented are transferable to other sub-national socio-ecological settings with multi-scale challenges.

摘要

为了更好地预测气候变化的潜在影响,需要多方面的未来信息,包括气候、社会经济以及适应和减缓。为了满足这一需求,政府间气候变化专门委员会第五次评估报告(IPCC-AR5)制定了一个全球 RCP(代表性浓度路径)、SSP(共享社会经济路径)和 SPA(共享气候政策假设)(RCP-SSP-SPA)情景框架。在国家以下各级应用这一完整的全球框架带来了两个关键挑战:在捕捉变化的多个维度方面增加了复杂性,以及尺度问题。也许正因为如此,很少有这种新框架的应用。在这里,我们提出了一种综合的多尺度混合情景方法,结合了基于专家和参与式的方法。该框架是在 DECCMA 项目中开发和应用的,目的是探索西非和南亚三个三角洲的移民和适应问题:(i)沃尔特三角洲(加纳),(ii)马汉迪三角洲(印度),以及(iii)恒河-布拉马普特拉-梅格纳(GBM)三角洲(孟加拉国/印度)。我们使用涵盖广泛影响的气候情景(RCP8.5)和三种基于 SSP 的社会经济情景(SSP2、SSP3、SSP5),在多个尺度上生成高度多样化和具有挑战性的情景背景,以测试三角洲内人类和自然系统的稳健性。此外,我们还考虑了四种不同的适应政策轨迹:最小干预、经济能力扩张、系统效率增强和系统重构,这些轨迹描述了在不同社会经济轨迹下的替代未来适应行动/措施组合。本文强调了多尺度(自上而下和自下而上相结合)和参与式(专家-利益相关者联合)情景方法对于应对适应决策中的不确定性的重要性。该框架有助于在不确定的未来变化条件下,更好地综合评估潜在影响和可行的适应政策选择(包括移民)。所提出的概念、方法和流程可推广应用于具有多尺度挑战的其他国家以下各级社会-生态环境。

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