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dc.contributor.authorKebede, A.S.
dc.contributor.authorNicholls, R.J.
dc.contributor.authorAllan, A.
dc.contributor.authorArto, I.
dc.contributor.authorCazcarro, I.
dc.contributor.authorFernandes, J.A.
dc.contributor.authorHill, C.T.
dc.contributor.authorHutton, C.W.
dc.contributor.authorKay, S.
dc.contributor.authorLázár, A.N.
dc.contributor.authorMacadam, I.
dc.contributor.authorPalmer, M.
dc.contributor.authorSuckall, N.
dc.contributor.authorTompkins, E.L.
dc.contributor.authorVincent, K.
dc.contributor.authorWhitehead, P.W.
dc.date.accessioned2020-06-23T09:44:36Z
dc.date.available2020-06-23T09:44:36Z
dc.date.issued2018
dc.identifier.citationScience Of The Total Environment 635 : 659-672 (2018)
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10810/44128
dc.description.abstractTo 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 1 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. © 2018
dc.description.sponsorshipThis work is carried out under the Deltas, Vulnerability & Climate Change: Migration & Adaptation (DECCMA) project (IDRC 107642) under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA) programme with financial support from the UK Government's Department for International Development (DFID) and the International Development Research Centre (IDRC 1076422 ), Canada.
dc.language.isoeng
dc.publisherElsevier
dc.relation.urihttps://dx.doi.org/10.1016/j.scitotenv.2018.03.368
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.titleApplying the global RCP SSP SPA scenario framework at sub-national scale: A multi-scale and participatory scenario approach
dc.typeinfo:eu-repo/semantics/article
dc.rights.holder(c) 2019 Published by Elsevier B.V.
dc.identifier.doi10.1016/j.scitotenv.2018.03.368


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(c) 2019 Published by Elsevier B.V.
Except where otherwise noted, this item's license is described as (c) 2019 Published by Elsevier B.V.