This study presents the first global-scale multi-sectoral regional assessment of the magnitude and uncertainty in the impacts of climate change avoided by emissions policies. The analysis suggests that the most stringent emissions policy considered here—which gives a 50% chance of remaining below a 2 °C temperature rise target—reduces impacts by 20–65% by 2100 relative to a ‘business-as-usual’ pathway which reaches 4 °C, and can delay impacts by several decades. The effects of mitigation policies vary between sectors and regions, and only a few are noticeable by 2030. The impacts avoided by 2100 are more strongly influenced by the date and level at which emissions peak than the rate of decline of emissions, with an earlier and lower emissions peak avoiding more impacts. The estimated proportion of impacts avoided at the global scale is relatively robust despite uncertainty in the spatial pattern of climate change, but the absolute amount of avoided impacts is considerably more variable and therefore uncertain.
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Dessai, S. et al. Defining and experiencing dangerous climate change—An editorial essay. Climatic Change 64, 11–25 (2004).
Oppenheimer, M. Defining dangerous anthropogenic interference: The role of science, the limits of science. Risk Anal. 25, 1399–1407 (2005).
Harvey, L. D. D. Dangerous anthropogenic interference, dangerous climatic change, and harmful climatic change: Non-trivial distinctions with significant policy implications. Climatic Change 82, 1–25 (2007).
Houghton J. T., Meira Filho L. G., Griggs, D. J. and Maskell K. (eds) Stabilization of Atmospheric Greenhouse Gases: Physical, Biological and Socio-economic Implications IPCC Technical Paper III. (IPCC, 1997).
Wigley, T. M. L. The Kyoto Protocol: CO2, CH4 and climate implications. Geophys. Res. Lett. 25, 2285–2288 (1998).
Mitchell, J. F. B., Johns, T. C., Ingram, W. J. & Lowe, J. A. The effect of stabilising atmospheric carbon dioxide concentrations on global and regional climate change. Geophys. Res. Lett. 27, 2977–2980 (2000).
O’Neill, B. C. & Oppenheimer, M. Climate change impacts are sensitive to the concentration stabilization path. Proc. Natl Acad. Sci. USA 101, 16411–16416 (2004).
Hansen, J. et al. Dangerous human-made interference with climate: A GISS modelE study. Atmos. Chem. Phys. 7, 2287–2312 (2007).
Allen, M. R. et al. Warming caused by cumulative carbon emissions towards the trillionth tonne. Nature 458, 1163–1166 (2009).
Solomon, S., Plattner, G. K., Knutti, R. & Friedlingstein, P. Irreversible climate change due to carbon dioxide emissions. Proc. Natl Acad. Sci. USA 106, 1704–1709 (2009).
Rogelj, J. et al. Analysis of the Copenhagen Accord pledges and its global climatic impacts-a snapshot of dissonant ambitions. Environ. Res. Lett. 5, 034013 (2010).
Washington, W. M. et al. How much climate change can be avoided by mitigation? Geophys. Res. Lett. 36, L0870310 (2009).
Committee on Stabilization Targets for Atmospheric Greenhouse Gas Concentrations & National Research Council Climate Stabilization Targets: Emissions, Concentrations, and Impacts over Decades to Millennia. (National Academies, 2011).
Tubiello, F. N. & Fischer, G. I. Reducing climate change impacts on agriculture: Global and regional effects of mitigation, 2000–2080. Technol. Forecast. Soc. Change 74, 1030–1056 (2007).
Arnell, N. W., van Vuuren, D. P. & Isaac, M. The implications of climate policy for the impacts of climate change on global water resources. Glob. Environ. Change 21, 592–603 (2011).
Fischer, G., Tubiello, F. N., Van Velthuizen, H. & Wiberg, D. A. Climate change impacts on irrigation water requirements: Effects of mitigation, 1990–2080. Technol. Forecast. Soc. Change 74, 1083–1107 (2007).
Nicholls, R. J. & Lowe, J. A. Benefits of mitigation of climate change for coastal areas. Glob. Environ. Change 14, 229–244 (2004).
Pardaens, A. K., Lowe, J. A., Brown, S., Nicholls, R. J. & de Gusmao, D. Sea-level rise and impacts projections under a future scenario with large greenhouse gas emission reductions. Geophys. Res. Lett. 38, L12604 (2011).
Bakkenes, M., Eickhout, B. & Alkemade, R. Impacts of different climate stabilisation scenarios on plant species in Europe. Glob. Environ. Change 16, 19–28 (2006).
Arnell, N. W. et al. The consequences of CO2 stabilisation for the impacts of climate change. Climatic Change 53, 413–446 (2002).
Hayashi, A., Akimoto, K., Sano, F., Mori, S. & Tomoda, T. Evaluation of global warming impacts for different levels of stabilization as a step toward determination of the long-term stabilization target. Climatic Change 98, 87–112 (2010).
Van Vuuren, D. P. et al. The use of scenarios as the basis for combined assessment of climate change mitigation and adaptation. Glob. Environ. Change 21, 575–591 (2011).
Frumhoff, P. C. et al. An integrated climate change assessment for the Northeast United States. Mitig. Adapt. Strat. Glob. Change 13, 419–423 (2008).
Hayhoe, K. et al. Emissions pathways, climate change, and impacts on California. Proc. Natl Acad. Sci. USA 101, 12422–12427 (2004).
IPCC Special Report on Emissions Scenarios (Cambridge Univ. Press, 2000).
Gohar, L. & Lowe, J. Summary of the emissions mitigation scenarios: Part 1. Work stream 1, Report 2 of the AVOID programme (AV/WS1/D1/R02) Available online at www.avoid.uk.net (Met Office Hadley Centre, 2009).
Lowe, J. A. et al. How difficult is it to recover from dangerous levels of global warming? Environ. Res. Lett. 4, 014012 (2009).
Meinshausen, M., Raper, S. C. B. & Wigley, T. M. L. Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6-Part 1: Model description and calibration. Atmos. Chem. Phys. 11, 1417–1456 (2011).
Meehl, G. A. et al. The WCRP CMIP3 multimodel dataset—A new era in climate change research. Bull. Am. Meteorol. Soc. 88, 1383 (2007).
Harris, I., Jones, P. D., Osborn, T. J. & Lister, D. H. Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 data set. Int. J. Climatol. (in the press).
Wu, P. L., Wood, R., Ridley, J. & Lowe, J. Temporary acceleration of the hydrological cycle in response to a CO2 rampdown. Geophys. Res. Lett. 37, L12705 (2010).
Meehl, G. A. et al. in IPCC Climate Change 2007: The Physical Science Basis (eds Solomon, S. et al.) Ch. 10 (Cambridge Univ. Press, 2007).
Van Vuuren, D. P. et al. Stabilizing greenhouse gas concentrations at low levels: An assessment of reduction strategies and costs. Climatic Change 81, 119–159 (2007).
CIESIN, Global Rural-Urban Mapping Project (GRUMP), Alpha Version: Population Grids. (Socioeconomic Data and Applications Center 2004); available at http://sedac.ciesin.columbia.edu/gpw (Accessed 1 April 2011).
Gosling, S. N. & Arnell, N. W. Simulating current global river runoff with a global hydrological model: Model revisions, validation, and sensitivity analysis. Hydrol. Proc. 25, 1129–1145 (2011).
Ramankutty, N., Evan, A. T., Monfreda, C. & Foley, J. A. Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000. Glob. Biogeochem. Cycles 22, Gb1003 (2008).
McKee, T. B., Doesken, N. J. & Kliest, J. Proc. 8th Conf. on Applied Climatology 179–184 (American Meteorological Society, 1993).
Hinkel, J. & Klein, R. J. T. Integrating knowledge to assess coastal vulnerability to sea-level rise: The development of the DIVA tool. Glob. Environ. Change 19, 384–395 (2009).
McFadden, L., Spencer, T. & Nicholls, R. J. Broad-scale modelling of coastal wetlands: What is required? Hydrobiologia 577, 5–15 (2007).
Vafeidis, A. T. et al. A new global coastal database for impact and vulnerability analysis to sea-level rise. J. Coast. Res. 24, 917–924 (2008).
Ramankutty, N., Foley, J. A., Norman, J. & McSweeney, K. The global distribution of cultivable lands: Current patterns and sensitivity to possible climate change. Glob. Ecol. Biogeogr. 11, 377–392 (2002).
Challinor, A. J., Wheeler, T. R., Craufurd, P. Q., Slingo, J. M. & Grimes, D. I. F. Design and optimisation of a large-area process-based model for annual crops. Agric. Forest Meteorol. 124, 99–120 (2004).
Osborne, T., Rose, G. A. & Wheeler, T. M. Variation in the global-scale impacts of climate change on crop productivity due to climate model uncertainty and adaptation. Agric. Forest Meteorol. http://dx.doi.org/10.1016/j.agrformet.2012.07.006 (2012).
Coleman, K. W. & Jenkinson, D. S. in Evaluation of Soil Organic Matter Models Using Existing Long-term Datasets (eds Powlson, D. S., Smith, P. & Smith, J. U.) 237–246 (Springer, 1996).
Smith, J. et al. Projected changes in mineral soil carbon of European croplands and grasslands, 1990–2080. Glob. Change Biol. 11, 2141–2152 (2005).
Gottschalk, P. et al. How will organic carbon stocks in mineral soils evolve under future climate? Global projections using RothC for a range of climate change scenarios. Biogeosciences 9, 3151–3171 (2012).
Isaac, M. & van Vuuren, D. P. Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Pol. 37, 507–521 (2009).
The research presented in this paper was funded under the UK Department of Energy and Climate Change (DECC) AVOID programme (www.avoid.uk.net), and builds on the QUEST-GSI project funded by NERC (grant number NE/E001890/1). P.S. is a Royal Society-Wolfson Research Merit Award holder. The authors thank S. Raper (Manchester Metropolitan University) for her contribution to the development of the probabilistic parameterization of MAGICC. The authors thank the reviewers for their helpful comments.
The authors declare no competing financial interests.
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Arnell, N., Lowe, J., Brown, S. et al. A global assessment of the effects of climate policy on the impacts of climate change. Nature Clim Change 3, 512–519 (2013). https://doi.org/10.1038/nclimate1793
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