Decreases in global beer supply due to extreme drought and heat

Beer is the most popular alcoholic beverage in the world by volume consumed, and yields of its main ingredient, barley, decline sharply in periods of extreme drought and heat. Although the frequency and severity of drought and heat extremes increase substantially in range of future climate scenarios by five Earth System Models, the vulnerability of beer supply to such extremes has never been assessed. We couple a process-based crop model (decision support system for agrotechnology transfer) and a global economic model (Global Trade Analysis Project model) to evaluate the effects of concurrent drought and heat extremes projected under a range of future climate scenarios. We find that these extreme events may cause substantial decreases in barley yields worldwide. Average yield losses range from 3% to 17% depending on the severity of the conditions. Decreases in the global supply of barley lead to proportionally larger decreases in barley used to make beer and ultimately result in dramatic regional decreases in beer consumption (for example, −32% in Argentina) and increases in beer prices (for example, +193% in Ireland). Although not the most concerning impact of future climate change, climate-related weather extremes may threaten the availability and economic accessibility of beer.The vulnerability of barley production and beer supply to future weather extremes remains unknown. A study using modelling finds that weather extremes associated with climate change would threaten the availability and economic accessibility of beer.

[1]  C. Müller,et al.  The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) , 2014 .

[2]  D. Lobell,et al.  Robust negative impacts of climate change on African agriculture , 2010, Environmental Research Letters.

[3]  A. Rose,et al.  Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions , 2005 .

[4]  C. Kucharik,et al.  Impacts of recent climate change on Wisconsin corn and soybean yield trends , 2008 .

[5]  D. Tilman,et al.  Global diets link environmental sustainability and human health , 2014, Nature.

[6]  P. Marquet,et al.  Climate change, wine, and conservation , 2013, Proceedings of the National Academy of Sciences.

[7]  M. Mckee,et al.  Manufacturing Epidemics: The Role of Global Producers in Increased Consumption of Unhealthy Commodities Including Processed Foods, Alcohol, and Tobacco , 2012, PLoS medicine.

[8]  Solomon Hsiang,et al.  Estimating economic damage from climate change in the United States , 2017, Science.

[9]  D. Deryng,et al.  Crop planting dates: an analysis of global patterns. , 2010 .

[10]  Nicholas M. Holden,et al.  Possible change in Irish climate and its impact on barley and potato yields , 2003 .

[11]  D. Swain,et al.  Impact of elevated CO2 and temperature on rice yield and methods of adaptation as evaluated by crop simulation studies , 2007 .

[12]  James W. Jones,et al.  How do various maize crop models vary in their responses to climate change factors? , 2014, Global change biology.

[13]  T. Iizumi,et al.  Varying temporal and spatial effects of climate on maize and soybean affect yield prediction , 2011 .

[14]  T. Hertel Global Trade Analysis: Modeling and Applications , 1999 .

[15]  Vasant P. Gandhi,et al.  Food demand and the food security challenge with rapid economic growth in the emerging economies of India and China , 2014 .

[16]  Maria I. Travasso,et al.  Utility of CERES-Barley under Argentine conditions , 1998 .

[17]  A. Ruane,et al.  Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation , 2015 .

[18]  Adam Rose,et al.  Business Interruption Impacts of a Terrorist Attack on the Electric Power System of Los Angeles: Customer Resilience to a Total Blackout , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  J. Porter,et al.  Temperatures and the growth and development of maize and rice: a review , 2014, Global change biology.

[20]  T. Hertel,et al.  The Standard GTAP Model, Version 7 , 2017 .

[21]  L. Garrote,et al.  A regional comparison of the effects of climate change on agricultural crops in Europe , 2012, Climatic Change.

[22]  Tomoko Hasegawa,et al.  The future of food demand: understanding differences in global economic models , 2014 .

[23]  David B. Lobell,et al.  Climate change adaptation in crop production: Beware of illusions , 2014 .

[24]  N. Batjes,et al.  A homogenized soil data file for global environmental research: A subset of FAO, ISRIC and NRCS profiles (Version 1.0) , 1995 .

[25]  J. P. Nelson,et al.  Estimating the Price Elasticity of Beer: Meta-Analysis of Data with Heterogeneity, Dependence, and Publication Bias , 2013, Journal of health economics.

[26]  Hans Michael Esslinger,et al.  Handbook of brewing : processes, technology, markets , 2009 .

[27]  N. Ramankutty,et al.  Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000 , 2008 .

[28]  James W. Jones,et al.  Decision support system for agrotechnology transfer: DSSAT v3 , 1998 .

[29]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[30]  M. Endo,et al.  Premature progression of anther early developmental programs accompanied by comprehensive alterations in transcription during high-temperature injury in barley plants , 2007, Molecular Genetics and Genomics.

[31]  James W. Jones,et al.  Can climate-smart agriculture reverse the recent slowing of rice yield growth in China? , 2014 .

[32]  F. Tubiello,et al.  Global food security under climate change , 2007, Proceedings of the National Academy of Sciences.

[33]  Yi-Ming Wei,et al.  An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM , 2018, Natural Hazards.

[34]  T. Dawson,et al.  Modelling impacts of climate change on global food security , 2016, Climatic Change.

[35]  M. Kimura,et al.  High-temperature induction of male sterility during barley (Hordeum vulgare L.) anther development is mediated by transcriptional inhibition , 2005, Sexual Plant Reproduction.

[36]  E. Yuliwati,et al.  A Review , 2019, Current Trends and Future Developments on (Bio-) Membranes.

[37]  Brian Killough,et al.  Climate Change Impact Uncertainties for Maize in Panama: Farm Information, Climate Projections, and Yield Sensitivities , 2013 .

[38]  Detlef P. van Vuuren,et al.  Scenarios in Global Environmental Assessments: Key characteristics and lessons for future use , 2012 .

[39]  P. Darriet,et al.  The Impact of Climate Change on Viticulture and Wine Quality* , 2016, Journal of Wine Economics.

[40]  N. Ramankutty,et al.  Closing yield gaps through nutrient and water management , 2012, Nature.

[41]  I. Nishiyama,et al.  Effects of High Temperature on the Development of Pollen Mother Cells and Microspores in Barley Hordeum vulgare L. , 2000, Journal of Plant Research.

[42]  N. Guttman ACCEPTING THE STANDARDIZED PRECIPITATION INDEX: A CALCULATION ALGORITHM 1 , 1999 .

[43]  Brian C. O'Neill,et al.  The Need for and Use of Socio-Economic Scenarios for Climate Change Analysis , 2012 .

[44]  Hans Michael Elinger Handbook of Brewing , 2009 .

[45]  N. Ramankutty,et al.  Influence of extreme weather disasters on global crop production , 2016, Nature.

[46]  M. Trnka,et al.  Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models , 2012 .

[47]  P. Kyle,et al.  Climate change effects on agriculture: Economic responses to biophysical shocks , 2013, Proceedings of the National Academy of Sciences.

[48]  J. Swinnen The Economics of Beer , 2011 .

[49]  Ana Iglesias,et al.  Physical and economic consequences of climate change in Europe , 2011, Proceedings of the National Academy of Sciences.

[50]  D. Lobell,et al.  The critical role of extreme heat for maize production in the United States , 2013 .

[51]  N. Batjes A world dataset of derived soil properties by FAO–UNESCO soil unit for global modelling , 1997 .

[52]  Brian Hayden,et al.  What Was Brewing in the Natufian? An Archaeological Assessment of Brewing Technology in the Epipaleolithic , 2013 .

[53]  J. von Braun,et al.  Climate Change Impacts on Global Food Security , 2013, Science.

[54]  D. Lobell,et al.  Climate Trends and Global Crop Production Since 1980 , 2011, Science.

[55]  R. Roson,et al.  Climate change and agriculture in computable general equilibrium models: alternative modeling strategies and data needs , 2012, Climatic Change.

[56]  野村栄一,et al.  2 , 1900, The Hatak Witches.

[57]  E. Hawkins,et al.  The Potential to Narrow Uncertainty in Regional Climate Predictions , 2009 .

[58]  Liang Tang,et al.  Testing the responses of four wheat crop models to heat stress at anthesis and grain filling , 2016, Global change biology.

[59]  F. Piontek,et al.  A trend-preserving bias correction – the ISI-MIP approach , 2013 .

[60]  B. Popkin,et al.  Ultra‐processed products are becoming dominant in the global food system , 2013, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[61]  James W. Jones,et al.  Uncertainty in Simulating Wheat Yields Under Climate Change , 2013 .

[62]  Aaron P. Davis,et al.  The Impact of Climate Change on Indigenous Arabica Coffee (Coffea arabica): Predicting Future Trends and Identifying Priorities , 2012, PloS one.

[63]  C. Müller,et al.  Constraints and potentials of future irrigation water availability on agricultural production under climate change , 2013, Proceedings of the National Academy of Sciences.

[64]  Y. Elad,et al.  Climate Change Impacts on Plant Pathogens and Plant Diseases , 2014 .

[65]  M. Trnka,et al.  Climate Change Impacts and Adaptation Strategies in Spring Barley Production in the Czech Republic , 2004 .

[66]  J. Swinnen,et al.  Economic Growth, Globalisation and Beer Consumption , 2016 .

[67]  M. Schaap,et al.  Modeling water retention curves of sandy soils using neural networks , 1996 .