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

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 DECCMA1 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.

[1]  Robert J. Nicholls,et al.  Making SDGs Work for Climate Change Hotspots , 2016 .

[2]  Munir Ahmed,et al.  Projecting marine fish production and catch potential in Bangladesh in the 21st century under long-term environmental change and management scenarios , 2016 .

[3]  A. Thomson,et al.  The representative concentration pathways: an overview , 2011 .

[4]  P. G. Whitehead,et al.  Impacts of climate change and socio-economic scenarios on flow and water quality of the Ganges, Brahmaputra and Meghna (GBM) river systems: low flow and flood statistics. , 2015, Environmental science. Processes & impacts.

[5]  Richard Black,et al.  Migration and Global Environmental Change: Future Challenges and Opportunities , 2011 .

[6]  M.,et al.  The DECCMA Integrated Scenario Framework: A Multi-Scale and Participatory Approach to Explore Migration and Adaptation in Deltas , 2018 .

[7]  Katharine Vincent,et al.  A framework for the design and evaluation of adaptation pathways in large river deltas , 2016 .

[8]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .

[9]  John F. B. Mitchell,et al.  The next generation of scenarios for climate change research and assessment , 2010, Nature.

[10]  Ian P. Holman,et al.  Assessing cross-sectoral climate change impacts, vulnerability and adaptation: an introduction to the CLIMSAVE project , 2015, Climatic Change.

[11]  Gorka Merino,et al.  Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries , 2017 .

[12]  Robert J. Nicholls,et al.  Integrating Science and Policy Through Stakeholder-Engaged Scenarios , 2018 .

[13]  Robert J. Nicholls,et al.  Downscaling SSPs in Bangladesh - Integrating Science, Modelling and Stakeholders Through Qualitative and Quantitative Scenarios , 2015 .

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

[15]  C. Walters,et al.  Quantitative fisheries stock assessment: Choice, dynamics and uncertainty , 2004, Reviews in Fish Biology and Fisheries.

[16]  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.

[17]  Jude Herijadi Kurniawan,et al.  Systematically linking qualitative elements of scenarios across levels, scales, and sectors , 2016, Environ. Model. Softw..

[18]  Jim W. Hall,et al.  Creating an ensemble of future strategies for national infrastructure provision , 2015 .

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

[20]  T. Carter,et al.  This chapter should be cited as: , 2022 .

[21]  Robert J. Nicholls,et al.  Integrated assessment of social and environmental sustainability dynamics in the Ganges-Brahmaputra-Meghna delta, Bangladesh , 2016 .

[22]  Brian C. O'Neill,et al.  Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways , 2016 .

[23]  Erin Bohensky,et al.  Young Scholars Dialogue, part of a Special Feature on Scenarios of global ecosystem services Linking Futures across Scales: a Dialog on Multiscale Scenarios , 2007 .

[24]  R. Nicholls,et al.  Modelling impacts of climate change and socio-economic change on the Ganga, Brahmaputra, Meghna, Hooghly and Mahanadi river systems in India and Bangladesh. , 2018, The Science of the total environment.

[25]  A. Francis,et al.  Fish mortalities and management measures of fish species of the Andoni River, Niger Delta, Nigeria. , 2010 .

[26]  Robert J. Nicholls,et al.  A method to assess migration and adaptation in deltas : a preliminary fast-track assessment , 2015 .

[27]  Milliman Jd,et al.  Environmental and economic implications of rising sea level and subsiding deltas: the Nile and Bengal examples. , 1989 .

[28]  Claudia Kuenzer,et al.  Approaches to defining deltaic sustainability in the 21st century , 2016 .

[29]  Keywan Riahi,et al.  A new scenario framework for climate change research: the concept of shared climate policy assumptions , 2014, Climatic Change.

[30]  Roger Jones,et al.  Enhancing the relevance of Shared Socioeconomic Pathways for climate change impacts, adaptation and vulnerability research , 2013, Climatic Change.

[31]  Blane Harvey,et al.  Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research , 2015, Regional Environmental Change.

[32]  T. K. Bacchin,et al.  A plea for putting the issue of Urbanizing Deltas on the New Urban Agenda, UN Habitat III , 2016 .

[33]  Rebecca A. Kelly,et al.  A formal framework for scenario development in support of environmental decision-making , 2009, Environ. Model. Softw..

[34]  Iñaki Arto,et al.  Biophysical and Socioeconomic State and Links of Deltaic Areas Vulnerable to Climate Change: Volta (Ghana), Mahanadi (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh) , 2018 .

[35]  A P Lipton,et al.  Status of Bombay duck Harpodon nehereus (Ham.) resource off Saurashtra coast , 1992 .

[36]  Johan Lilliestam,et al.  Comparing Approaches for the Integration of Stakeholder Perspectives in Environmental Decision Making , 2016 .

[37]  G. Finnveden,et al.  Scenario types and techniques: Towards a user's guide , 2006 .

[38]  N. Myers,et al.  Environmental refugees: a growing phenomenon of the 21st century. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[39]  Robert J. Nicholls,et al.  Climate and socio-economic scenarios for global-scale climate change impacts assessments: characterising the SRES storylines , 2004 .

[40]  J. Syvitski,et al.  Profiling risk and sustainability in coastal deltas of the world , 2015, Science.

[41]  Momme Butenschön,et al.  Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model , 2013, Global change biology.

[42]  Robert J. Nicholls,et al.  Modeling future flows of the Volta River system: Impacts of climate change and socio-economic changes. , 2018, The Science of the total environment.

[43]  J. Edmonds,et al.  A new scenario framework for climate change research: background, process, and future directions , 2013, Climatic Change.

[44]  Robert J. Nicholls,et al.  Population dynamics, delta vulnerability and environmental change: comparison of the Mekong, Ganges–Brahmaputra and Amazon delta regions , 2016, Sustainability Science.

[45]  Robert J. Nicholls,et al.  A framework for identifying and selecting long term adaptation policy directions for deltas. , 2018, The Science of the total environment.

[46]  I. Overeem,et al.  Sinking deltas due to human activities , 2009 .

[47]  P G Whitehead,et al.  Dynamic modeling of the Ganga river system: impacts of future climate and socio-economic change on flows and nitrogen fluxes in India and Bangladesh. , 2015, Environmental science. Processes & impacts.

[48]  Momme Butenschön,et al.  Quantitative pathways for Northeast Atlantic fisheries based on climate, ecological-economic and governance modelling scenarios , 2016 .

[49]  C. Geisler,et al.  Impediments to inland resettlement under conditions of accelerated sea level rise , 2017 .

[50]  Andrew Allan,et al.  Incorporating Stakeholder Perspectives in Scenario Development , 2018 .

[51]  Tamara Janes,et al.  Selection of climate model simulations for the DECCMA project , 2017 .

[52]  S. Lawrence Dingman,et al.  Effective sea-level rise and deltas: Causes of change and human dimension implications , 2006 .

[53]  P G Whitehead,et al.  Assessing the impacts of climate change and socio-economic changes on flow and phosphorus flux in the Ganga river system. , 2015, Environmental science. Processes & impacts.

[54]  Guy H. Walker,et al.  The future of national infrastructure: a systems-of-systems approach , 2017 .

[55]  John F. B. Mitchell,et al.  Climate change scenarios for global impacts studies , 1999 .

[56]  Keywan Riahi,et al.  A new scenario framework for climate change research: the concept of shared socioeconomic pathways , 2013, Climatic Change.

[57]  Marzalina Mansor,et al.  Growth and mortality of Indian mackerel (Rastrelliger kanagurta) and slender scad (Decapterus russelli) off the East Coast of Peninsular Malaysia , 1995 .

[58]  James Harle,et al.  Potential consequences of climate change for primary production and fish production in large marine ecosystems , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[59]  Thomas Henrichs,et al.  Linking scenarios across geographical scales in international environmental assessments , 2007 .

[60]  S. Schiavon,et al.  Climate Change 2007: Impacts, Adaptation and Vulnerability. , 2007 .