Creating quantitative scenario projections for the UK shared socioeconomic pathways

被引:3
作者
Merkle, M. [1 ,2 ]
Dellaccio, O. [3 ]
Dunford, R. [4 ]
Harmackova, Z. V. [5 ,6 ]
Harrison, P. A. [5 ]
Mercure, J-F. [3 ,7 ]
Pedde, S. [5 ,8 ]
Seo, B. [9 ]
Simsek, Y. [7 ]
Stenning, J. [3 ]
Rounsevell, M. [1 ,9 ,10 ]
机构
[1] Univ Edinburgh, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Scotland
[2] Norwegian Univ Life Sci, Sch Econ & Business, Chr Magnus Falsens vei 18, N-1430 As, Norway
[3] Cambridge Econometr Ltd, Covent Garden, Cambridge CB1 2HT, England
[4] UK Ctr Ecol & Hydrol, Maclean Bldg,Benson Lane, Wallingford OX10 8BB, England
[5] UK Ctr Ecol & Hydrol, Lancaster Environm Ctr, Lib Ave, Lancaster LA1 4AP, England
[6] Czech Acad Sci, Global Change Res Inst, Belidla 986-4a, Brno 60300, Czech Republic
[7] Univ Exeter, Global Syst Inst, Dept Geog, Exeter, England
[8] Wageningen Univ & Res, Dept Environm Sci, Wageningen, Netherlands
[9] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Atmospher Environm Res, Garmisch Partenkirchen, Germany
[10] Karlsruhe Inst Technol, Dept Geog & Geoecol IFGG, Karlsruhe, Germany
基金
英国自然环境研究理事会;
关键词
Extended SSPs; UK Socio-economics; Quantitative Scenarios; Stakeholder -based Modelling; CLIMATE-CHANGE RESEARCH; FRAMEWORK; ADAPTATION; IMPACTS; POLICY;
D O I
10.1016/j.crm.2023.100506
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Shared Socioeconomic Pathways (SSPs) were developed as a framework for exploring alternative futures with challenges for climate change mitigation and adaptation. Whilst origi-nally developed at the global scale, the SSPs have been increasingly interpreted at the national scale in order to inform national level climate change policy and impact assessments, including mitigation and adaptation actions. Here, we present a set of quantitative SSP scenario projections, based on narratives and semi-quantitative trends, for the UK (the UK-SSPs) for a wide range of sectors that are relevant to the UK climate research, policy and business communities. We show that a mixed-methods approach that combines computational modelling with an interpretation of stakeholder storylines and empirical data is an effective way of generating a comprehensive range of quantitative indicators across sectors and geographic areas in a specific national context. The global SSP assumptions of low challenges to climate adaptation lead to similar socioeconomic outcomes in UK-SSP1 and UK-SSP5, although based on very different dynamics and underlying drivers. Convergence was also identified in indicators related to more efficient natural resource use in the scenarios with low challenges to climate change mitigation (UK-SSP1 and UK-SSP4). Alternatively, societal inequality played a strong role in scenarios with high challenges to adaptation leading to convergence in indicator trends (UK-SSP3 and UK-SSP4).
引用
收藏
页数:11
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共 38 条
  • [1] Extending the Shared Socioeconomic Pathways for sub-national impacts, adaptation, and vulnerability studies
    Absar, Syeda Mariya
    Preston, Benjamin L.
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2015, 33 : 83 - 96
  • [2] A spatially explicit scenario-driven model of adaptive capacity to global change in Europe
    Acosta, Lilibeth
    Klein, Richard J. T.
    Reidsma, Pytrik
    Metzger, Marc J.
    Rounsevell, Mark D. A.
    Leemans, Rik
    Schroeter, Dagmar
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2013, 23 (05): : 1211 - 1224
  • [3] ADELMAN I, 1963, AM ECON REV, V53, P314
  • [4] Scenarios for vulnerability: opportunities and constraints in the context of climate change and disaster risk
    Birkmann, Joern
    Cutter, Susan L.
    Rothman, Dale S.
    Welle, Torsten
    Garschagen, Matthias
    van Ruijven, Bas
    O'Neill, Brian
    Preston, Benjamin L.
    Kienberger, Stefan
    Cardona, Omar D.
    Siagian, Tiodora
    Hidayati, Deny
    Setiadi, Neysa
    Binder, Claudia R.
    Hughes, Barry
    Pulwarty, Roger
    [J]. CLIMATIC CHANGE, 2015, 133 (01) : 53 - 68
  • [5] Green New Deal proposals: Comparing emerging transformational climate policies at multiple scales
    Boyle, Alaina D.
    Leggat, Graham
    Morikawa, Larissa
    Pappas, Yanni
    Stephens, Jennie C.
    [J]. ENERGY RESEARCH & SOCIAL SCIENCE, 2021, 81
  • [6] Agent-Based Modeling of Alternative Futures in the British Land Use System
    Brown, C.
    Seo, B.
    Alexander, P.
    Burton, V
    Chacon-Montalvan, E. A.
    Dunford, R.
    Merkle, M.
    Harrison, P. A.
    Prestele, R.
    Robinson, E. L.
    Rounsevell, M.
    [J]. EARTHS FUTURE, 2022, 10 (11)
  • [7] Income projections for climate change research: A framework based on human capital dynamics
    Cuaresma, Jesus Crespo
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2017, 42 : 226 - 236
  • [8] Exploring climate change vulnerability across sectors and scenarios using indicators of impacts and coping capacity
    Dunford, R.
    Harrison, P. A.
    Jaeger, J.
    Rounsevell, M. D. A.
    Tinch, R.
    [J]. CLIMATIC CHANGE, 2015, 128 (3-4) : 339 - 354
  • [9] Ecosystem service provision in a changing Europe: adapting to the impacts of combined climate and socio-economic change
    Dunford, Robert W.
    Smith, Alison C.
    Harrison, Paula A.
    Hanganu, Diana
    [J]. LANDSCAPE ECOLOGY, 2015, 30 (03) : 443 - 461
  • [10] How predictable is technological progress?
    Farmer, J. Doyne
    Lafond, Francois
    [J]. RESEARCH POLICY, 2016, 45 (03) : 647 - 665