Handmer, J. et al. in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, (eds Field, C. B. et al.) 231–290 (Cambridge Univ. Press, 2012).
Tao, F. & Zhang, Z. Climate change, high-temperature stress, rice productivity, and water use in eastern China: a new superensemble-based probabilistic projection. J. Appl. Meteorol. Climatol. 52, 531–551 (2013).
Challinor, A. J., Simelton, E. S., Fraser, E. D. G., Hemming, D. & Collins, M. Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China. Environ. Res. Lett. 5, 034012 (2010).
Urban, D., Roberts, M. J., Schlenker, W. & Lobell, D. B. Projected temperature changes indicate significant increase in interannual variability of US maize yields. Clim. Change 112, 525–533 (2012).
Müller, C. & Robertson, R. D. Projecting future crop productivity for global economic modeling. Agric. Econ. 45, 37–50 (2014).
Nelson, G. C. et al. Climate change effects on agriculture: economic responses to biophysical shocks. Proc. Natl Acad. Sci. USA 111, 3274–3279 (2014).
Rosenzweig, C. & Parry, M. L. Potential impact of climate change on world food supply. Nature 367, 133–138 (1994).
Fischer, G., Shah, M., N. Tubiello, F. & van Velhuizen, H. Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080. Philos. Trans. R. Soc. B Biol. Sci. 360, 2067–2083 (2005).
Nelson, G. C. et al. Food Security, Farming, and Climate Change to 2050, Scenarios, Results, Policy Options (IFPRI, 2010).
Hasegawa, T. et al. Climate Change impact and adaptation assessment on food consumption utilizing a new scenario framework. Environ. Sci. Technol. 48, 438–445 (2014).
Stevanovic, M. et al. The impact of high-end climate change on agricultural welfare. Sci. Adv. 2, e1501452 (2016).
Lobell, D. B. et al. Prioritizing climate change adaptation needs for food security in 2030. Science 319, 607–610 (2008).
Fuss, S. et al. Global food security & adaptation under crop yield volatility. Technol. Forecast. Soc. Change 98, 223–233 (2015).
Diffenbaugh, N. S., Hertel, T. W., Scherer, M. & Verma, M. Response of corn markets to climate volatility under alternative energy futures. Nat. Clim. Chang. 2, 514–518 (2012).
Ahmed, A. S., Diffenbaugh, S. N. & Hertel, W. T. Climate volatility deepens poverty vulnerability in developing countries. Environ. Res. Lett. 4, 034004 (2009).
Ahmed, S. A. et al. Climate volatility and poverty vulnerability in Tanzania. Glob. Environ. Change 21, 46–55 (2011).
Suweis, S., Carr, J. A., Maritan, A., Rinaldo, A. & D’Odorico, P. Resilience and reactivity of global food security. Proc. Natl Acad. Sci. USA 112, 6902–6907 (2015).
Puma, M. J., Bose, S., Chon, S. Y. & Cook, B. I. Assessing the evolving fragility of the global food system. Environ. Res. Lett. 10, 024007 (2015).
Chatzopoulos, T., Perez Dominguez, I., Zampieri, M. & Toreti, A. Climate extremes and agricultural commodity markets: a global economic analysis of regionally simulated events. Weather Clim. Extrem. 27, 100193 (2019).
Katz, R. W. & Brown, B. G. Extreme events in a changing climate: variability is more important than averages. Clim. Change 21, 289–302 (1992).
Salinger, M. J. Climate variability and change: past, present and future–an overview. Clim. Change 70, 9–29 (2005).
Flato, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.), 741–866 (Cambridge University Press, 2013).
The State of Food Insecurity in the World 2012: Economic Growth Is Necessary but Not Sufficient to Accelerate Reduction of Hunger and Malnutrition (Food and Agriculture Organization, 2012).
Hasegawa, T. et al. Consequence of climate mitigation on the risk of hunger. Environ. Sci. Technol. 49, 7245–7253 (2015).
Sakurai, G., Iizumi, T., Nishimori, M. & Yokozawa, M. How much has the increase in atmospheric CO2 directly affected past soybean production? Sci. Rep. 4, 4978 (2014).
Müller, C. et al. The global gridded crop model intercomparison phase 1 simulation dataset. Sci. Data 6, 50 (2019).
Fujimori, S., Masui, T. and Matsuoka, Y. AIM/CGE [Basic] Manual (Center for Social and Environmental Systems Research, NIES, 2012).
Sillmann, J. et al. Understanding, modeling and predicting weather and climate extremes: challenges and opportunities. Weather Clim. Extrem. 18, 65–74 (2017).
Attribution of Extreme Weather Events in the Context of Climate Change (National Academies Press, 2016).
Stephenson, D. B. in Climate Extremes and Society (eds Diaz H. F. & Murnane R. J.) 11–23 (Cambridge University Press, 2008).
Hasegawa, T., Fujimori, S., Takahashi, K. & Masui, T. Scenarios for the risk of hunger in the twenty-first century using shared socioeconomic pathways. Environ. Res. Lett. 10, 014010 (2015).
Fujimori, S. et al. A multi-model assessment of food security implications of climate change mitigation. Nat. Sustain. 2, 386–396 (2019).
van Meijl, H., Tabeau, A., Stehfest, E., Doelman, J. & Lucas, P. How food secure are the green, rocky and middle roads: food security effects in different world development paths. Environ. Res. Commun. 2, 031002 (2020).
van Vuuren, D. P. et al. The representative concentration pathways: an overview. Clim. Change 109, 5–31 (2011).
Hasegawa, T. et al. Risk of increased food insecurity under stringent global climate change mitigation policy. Nat. Clim. Chang. 8, 699–703 (2018).
Lassa, J. A., Teng, P., Caballero-Anthony, M. & Shrestha, M. Revisiting emergency food reserve policy and practice under disaster and extreme climate events. Int. J. Disaster Risk Sci. 10, 1–13 (2019).
Janssens, C. et al. Global hunger and climate change adaptation through international trade. Nat. Clim. Chang. 10, 829–835 (2020).
International Assessment of Agricultural Knowledge: Science and Technology for Development Global Report (IAASTD, 2009).
Stathers, T., Lamboll, R. & Mvumi, B. M. Postharvest agriculture in changing climates: its importance to African smallholder farmers. Food Sec. 5, 361–392 (2013).
Chriest, A. & Niles, M. The role of community social capital for food security following an extreme weather event. J. Rural Stud. 64, 80–90 (2018).
World Agricultural Supply and Demand Estimates Report (US Department of Agriculture, 2016).
O’Neill, B. C. et al. A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Clim. Change 122, 387–400 (2014).
Riahi, K. et al. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Global Environ. Change 42, 153–168 (2017).
Fujimori, S. et al. SSP3: AIM implementation of Shared Socioeconomic Pathways. Global Environ. Change 42, 268–283 (2017).
Masutomi, Y., Takahashi, K., Harasawa, H. & Matsuoka, Y. Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models. Agric. Ecosyst. Environ. 131, 281–291 (2009).
Denman, K. L. et al. Couplings Between Changes in the Climate System and Biogeochemistry (Cambridge University Press, 2007).
Lal, P. N. et al. in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, [Field, C.B. et al. (eds.)]. 339–392 (Cambridge University Press, 2012).
Hertel, T. W. Food security under climate change. Nat. Clim. Chang. 6, 10–13 (2016).
O’Neill, B. C. et al. Achievements and needs for the climate change scenario framework. Nat. Clim. Chang. 10, 1074–1084 (2020).
Adoption of the Paris Agreement FCCC/CP/2015/L.9/Rev.1 (UNFCCC, 2015) http://unfccc.int/resource/docs/2015/cop21/eng/10a01.pdf
Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2011).
Hempel, S.F., Frieler, K., Warszawski, L., Schewe, J. & Piontek, F. Bias Corrected GCM Input Data for ISIMIP Fast Track (GFZ Data Services, 2013).
Iizumi, T., Takikawa, H., Hirabayashi, Y., Hanasaki, N. & Nishimori, M. Contributions of different bias-correction methods and reference meteorological forcing data sets to uncertainty in projected temperature and precipitation extremes. J. Geophys. Res. Atmos. 122, 7800–7819 (2017).
Iizumi, T. et al. Prediction of seasonal climate-induced variations in global food production. Nat. Clim. Chang. 3, 904–908 (2013).
Parry, M., Rosenzweig, C., Iglesias, A., Fischer, G. & Livermore, M. Climate change and world food security: a new assessment. Global Environ. Change 9, S51–S67 (1999).
Mastrandrea, M. D. et al. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties (IPCC, 2010).
Zhou, D., Yu, X. & Herzfeld, T. Dynamic Food Demand in Urban China. GlobalFood Discussion Paper (Georg-August-Universität Göttingen, 2014).
Bhargava, A. Estimating short and long run income elasticities of foods and nutrients for rural south India. J. R. Stat. Soc. Ser. A Stat. Soc. 154, 157–174 (1991).
Farquhar, G. D., von Caemmerer, S. & Berry, J. A. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90 (1980).
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R. & King, K. W. Soil and Water Assessment Tool Theoretical Documentation (Grassland Soil and Water Research Laboratory, Agricultural Research Service, United States Department of Agriculture, 2009).
Iizumi, T. et al. Historical changes in global yields: major cereal and legume crops from 1982 to 2006. Glob. Ecol. Biogeogr. 23, 346–357 (2014).
Vrugt J. A. A. H., et al. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. Int. J. Nonlinear Sci. Numer. Simul. 10 (2009).
Baldocchi, D. An analytical solution for coupled leaf photosynthesis and stomatal conductance models. Tree Physiol. 14, 1069–1079 (1994).
Fujimori, S., Hasegawa, T., Masui, T. & Takahashi, K. Land use representation in a global CGE model for long-term simulation: CET vs. logit functions. Food Sec. 6, 685–699 (2014).
von Lampe, M. et al. Why do global long-term scenarios for agriculture differ? An overview of the AgMIP global economic model intercomparison. Agric. Econ. 45, 3–20 (2014).
Hanasaki, N. et al. A global water scarcity assessment under Shared Socio-economic Pathways—part 1: water use. Hydrol. Earth Syst. Sci. 17, 2375–2391 (2013).
FAO Methodology for the Measurement of Food Deprivation: Updating the Minimum Dietary Energy Requirements (Food and Agriculture Organization, 2008).