Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion

Abstract 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.

[1]  I. Fazey,et al.  Reconceptualising adaptation to climate change as part of pathways of change and response , 2014 .

[2]  Paula Camus,et al.  Estimating the risk of loss of beach recreation value under climate change , 2018, Tourism Management.

[3]  Warren E. Walker,et al.  Adaptive policies, policy analysis, and policy-making , 2001, Eur. J. Oper. Res..

[4]  N. Rocle,et al.  Paving the way to coastal adaptation pathways: An interdisciplinary approach based on territorial archetypes , 2020 .

[5]  Richard de Neufville,et al.  Flexibility in Engineering Design , 2011 .

[6]  Marjolijn Haasnoot,et al.  Investments under non-stationarity: economic evaluation of adaptation pathways , 2019, Climatic Change.

[7]  R. Lempert,et al.  Identifying and evaluating robust adaptive policy responses to climate change for water management agencies in the American west , 2010 .

[8]  I. Losada,et al.  A planning strategy for the adaptation of coastal areas to climate change: The Spanish case , 2019 .

[9]  Patrick M. Reed,et al.  Large-scale parallelization of the Borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems , 2015, Environ. Model. Softw..

[10]  Vladan Babovic,et al.  Adaptation Pathways and Real Options Analysis: An approach to deep uncertainty in climate change adaptation policies , 2016 .

[11]  Sarah Lavery,et al.  Flood risk management in the Thames Estuary looking ahead 100 years , 2005, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[12]  M. Menéndez,et al.  A high resolution hindcast of the meteorological sea level component for Southern Europe: the GOS dataset , 2014, Climate Dynamics.

[13]  William M. Hix,et al.  Assumption-Based Planning: A Planning Tool for Very Uncertain Times , 1995 .

[14]  Matteo Giuliani,et al.  Climate Adaptation as a Control Problem: Review and Perspectives on Dynamic Water Resources Planning Under Uncertainty , 2020, Water Resources Research.

[15]  R. Nicholls,et al.  Climate change-driven coastal erosion modelling in temperate sandy beaches: Methods and uncertainty treatment , 2020, Earth-Science Reviews.

[16]  Ranasinghe W M R J B Ranasinghe Assessing climate change impacts on open sandy coasts: A review , 2016 .

[17]  G. Hertzler Adapting to climate change and managing climate risks by using real options , 2007 .

[18]  F. Calafat,et al.  Timescales for detecting a significant acceleration in sea level rise , 2012, Nature Communications.

[19]  Warren E. Walker,et al.  Developing dynamic adaptive policy pathways: a computer-assisted approach for developing adaptive strategies for a deeply uncertain world , 2015, Climatic Change.

[20]  V. Babovic,et al.  Development and valuation of adaptation pathways for storm water management infrastructure , 2017 .

[21]  Stephane Hallegatte,et al.  Strategies to adapt to an uncertain climate change , 2009 .

[22]  W. Deursen,et al.  Exploring pathways for sustainable water management in river deltas in a changing environment , 2010, Climatic Change.

[23]  Warren E. Walker,et al.  Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty , 2013 .

[24]  N. Taleb Antifragile: Things That Gain from Disorder , 2012 .

[25]  Patrick M. Reed,et al.  Reducing regional drought vulnerabilities and multi-city robustness conflicts using many-objective optimization under deep uncertainty , 2015 .

[26]  A. Bennett,et al.  TOPEX/POSEIDON tides estimated using a global inverse model , 1994 .

[27]  Suraje Dessai,et al.  Robust adaptation to climate change , 2010 .

[28]  S. Hanson,et al.  Shifting perspectives on coastal impacts and adaptation , 2014 .

[29]  J. Kwadijk,et al.  Using adaptation tipping points to prepare for climate change and sea level rise: a case study in the Netherlands , 2010 .

[30]  Xuebin Zhang,et al.  Time of emergence for regional sea-level change , 2014 .

[31]  Jan H. Kwakkel,et al.  How to evaluate a monitoring system for adaptive policies: criteria for signposts selection and their model-based evaluation , 2019, Climatic Change.

[32]  Timothy David Ramm,et al.  Strategic adaptation pathway planning to manage sea-level rise and changing coastal flood risk , 2018, Environmental Science & Policy.

[33]  B. C. Trindade,et al.  Deeply uncertain pathways: Integrated multi-city regional water supply infrastructure investment and portfolio management , 2019 .

[34]  Klaus Keller,et al.  Using direct policy search to identify robust strategies in adapting to uncertain sea-level rise and storm surge , 2017, Environ. Model. Softw..

[35]  T. Schlacher,et al.  Beach nourishment has complex implications for the future of sandy shores , 2020, Nature Reviews Earth & Environment.

[36]  Jaap Schellekens,et al.  Transient scenarios for robust climate change adaptation illustrated for water management in The Netherlands , 2015 .

[37]  J. Lowe,et al.  Addressing ‘deep’ uncertainty over long-term climate in major infrastructure projects: four innovations of the Thames Estuary 2100 Project , 2013 .

[38]  M. Schlesinger,et al.  Robust Strategies for Abating Climate Change , 2000 .

[39]  Warren E. Walker,et al.  Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world , 2013 .

[40]  Jan H. Kwakkel,et al.  An exploratory approach for adaptive policymaking by using multi-objective robust optimization , 2014, Simul. Model. Pract. Theory.

[41]  Vincent Marchau,et al.  Classifying and communicating uncertainties in model-based policy analysis , 2010 .

[42]  Cynthia Rosenzweig,et al.  Hurricane Sandy and Adaptation Pathways in New York: Lessons from a First-Responder City , 2014 .

[43]  Anna Hurlimann,et al.  A local coastal adaptation pathway , 2014 .

[44]  Robert J Lempert,et al.  A new decision sciences for complex systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[45]  Marjolijn Haasnoot,et al.  What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty , 2017 .

[46]  Robert G. Dean,et al.  A simple new shoreline change model , 2004 .

[47]  Patrick M. Reed,et al.  Cooperative drought adaptation: Integrating infrastructure development, conservation, and water transfers into adaptive policy pathways , 2015 .

[48]  I. Losada,et al.  Visualising the Uncertainty Cascade in Multi-Ensemble Probabilistic Coastal Erosion Projections , 2021, Frontiers in Marine Science.

[49]  Chris Zevenbergen,et al.  Lessons learned from applying adaptation pathways in flood risk management and challenges for the further development of this approach , 2017, Mitigation and Adaptation Strategies for Global Change.

[50]  Joseph R. Kasprzyk,et al.  Many objective robust decision making for complex environmental systems undergoing change , 2012, Environ. Model. Softw..

[51]  Warren E. Walker,et al.  Comparing Robust Decision-Making and Dynamic Adaptive Policy Pathways for model-based decision support under deep uncertainty , 2016, Environ. Model. Softw..

[52]  V. Babovic,et al.  Antifragility and the development of urban water infrastructure , 2018, Urban Resilience to Droughts and Floods.

[53]  Christopher B. Field,et al.  Managed retreat as a response to natural hazard risk , 2017 .

[54]  Paula Camus,et al.  Managing coastal erosion under climate change at the regional scale , 2017 .

[55]  Judy Lawrence,et al.  Developing signals to trigger adaptation to sea-level rise , 2018, Environmental Research Letters.

[56]  Ashley B Kingsborough,et al.  Adaptation pathways in practice: Mapping options and trade-offs for London’s water resources , 2016 .

[57]  D. Ray,et al.  Adapting Scotland’s forests to climate change using an action expiration chart , 2015 .

[58]  P. Bruun Sea-Level Rise as a Cause of Shore Erosion , 1962 .

[59]  Paula Camus,et al.  High resolution downscaled ocean waves (DOW) reanalysis in coastal areas , 2013 .

[60]  Jim W. Hall,et al.  Development and appraisal of long-term adaptation pathways for managing heat-risk in London , 2017 .

[61]  Robert G. Dean,et al.  Equilibrium Beach Profiles: Characteristics and Applications , 1991 .

[62]  Marjolijn Haasnoot,et al.  Designing a monitoring system to detect signals to adapt to uncertain climate change , 2018, Global Environmental Change.

[63]  G. Characklis,et al.  Reducing the costs of meeting regional water demand through risk-based transfer agreements. , 2009, Journal of environmental management.