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DOI | 10.1016/j.crm.2021.100342 |
Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion | |
Toimil A.; Losada I.J.; Hinkel J.; Nicholls R.J. | |
发表日期 | 2021 |
ISSN | 2212-0963 |
卷号 | 33 |
英文摘要 | Adaptation requires planning strategies that consider the combined effect of climatic and non-climatic drivers, which are deeply uncertain. This uncertainty arises from many sources, cascades and accumulates in risk estimates. A prominent trend to incorporate this uncertainty in adaptation planning is through adaptive approaches such as the dynamic adaptive policy pathways (DAPP). We present a quantitative DAPP application for coastal erosion management to increase its utilisation in this field. We adopt an approach in which adaptation objectives and actions have continuous quantitative metrics that evolve over time as conditions change. The approach hinges on an adaptation information system that comprises hazard and impact modelling and systematic monitoring to assess changing risks and adaptation signals in the light of adaptation pathway choices. Using an elaborated case study, we force a shoreline evolution model with waves and storm surges generated by means of stochastic modelling from 2010 to 2100, considering uncertainty in extreme weather events, climate variability and mean sea-level rise. We produce a new type of adaptation pathways map showing a set of 90-year probabilistic trajectories that link changing objectives (e.g., no adaptation, limit risk increase, avoid risk increase) and nourishment placement over time. This DAPP approach could be applied to other domains of climate change adaptation bringing a new perspective in adaptive planning under deep uncertainty. © 2021 The Author(s) |
英文关键词 | Adaptation information system; Adaptation pathways; Climate change adaptation; Coastal erosion; Dynamic adaptive policy pathways; Uncertainty |
语种 | 英语 |
来源期刊 | Climate Risk Management |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/256146 |
作者单位 | IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Isabel Torres 15, Santander, 39011, Spain; Global Climate Forum (GCF), Berlin, Germany; Division of Resource Economics, Albrecht Daniel Thaer‐Institute and Berlin Workshop in Institutional Analysis of Social‐Ecological Systems (WINS), Humboldt‐University, Berlin, Germany; Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, UK NR4 7TJ, United Kingdom |
推荐引用方式 GB/T 7714 | Toimil A.,Losada I.J.,Hinkel J.,et al. Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion[J],2021,33. |
APA | Toimil A.,Losada I.J.,Hinkel J.,&Nicholls R.J..(2021).Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion.Climate Risk Management,33. |
MLA | Toimil A.,et al."Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion".Climate Risk Management 33(2021). |
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