Regional and global climate projections increase mid-century yield variability and crop productivity in Belgium

The impact of mid-century climatic changes on crop productivity of winter wheat, maize, potato and sugar beet was assessed for a temperate maritime climate in the Flemish Region, Belgium. Climatic projections of multiple regional and global climate models (RCMs from the EU-ENSEMBLES project and GCMs from the Coupled Model Intercomparison Project phase 3) were stochastically downscaled by the LARS-WG weather generator for use in the crop models AquaCrop and Sirius. Primarily positive effects on mean yield were simulated. Crops benefitted from elevated CO2, and from more radiation interception if the cropping period was adapted in response to higher temperatures. However, increased productivity was linked with increased susceptibility to water stress and greater inter-annual yield variability, particularly with adapted management. Impacts differed among and within ensembles of climate models, and among crops and environments. Although RCMs may be more suitable for local impact assessments than GCMs, inter-ensemble differences and contingent wider ranges of impacts with GCM projections found in this study indicate that applying RCMs driven by a limited number of GCMs alone would not give the full range of possible impacts. Further, this study suggests that the simulated intermodel variation can be larger than spatial variation within the region. These findings advocate the use of both GCM and RCM ensembles in assessments where temperature and precipitation are central, such as for crop production.

[1]  Hayley J. Fowler,et al.  Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling , 2007 .

[2]  M. Bindi,et al.  Consequences of climate change for European agricultural productivity, land use and policy , 2002 .

[3]  R. Stričević,et al.  Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower , 2011 .

[4]  M. Trnka,et al.  Impacts and adaptation of European crop production systems to climate change , 2011 .

[5]  Hendrik Poorter Interspecific variation in the growth response of plants to an elevated ambient CO2 concentration , 2004, Vegetatio.

[6]  R. Wilby,et al.  Scenario-neutral approach to climate change impact studies: Application to flood risk , 2010 .

[7]  Reto Knutti,et al.  Challenges in Combining Projections from Multiple Climate Models , 2010 .

[8]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[9]  M. Mkhabela,et al.  Performance of the FAO AquaCrop model for wheat grain yield and soil moisture simulation in Western Canada , 2012 .

[10]  D. Wilks,et al.  The weather generation game: a review of stochastic weather models , 1999 .

[11]  William J. Sacks,et al.  Crop management and phenology trends in the U.S. Corn Belt: Impacts on yields, evapotranspiration and energy balance , 2011 .

[12]  M. Bindi,et al.  The responses of agriculture in Europe to climate change , 2011 .

[13]  Mikhail A. Semenov,et al.  Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database , 2013, Theoretical and Applied Climatology.

[14]  C. Hays,et al.  Comparison of Agricultural Impacts of Climate Change Calculated from High and Low Resolution Climate Change Scenarios: Part I. The Uncertainty Due to Spatial Scale , 2001 .

[15]  T. Wigley,et al.  Statistical downscaling of general circulation model output: A comparison of methods , 1998 .

[16]  C. W. Richardson,et al.  Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates , 1998 .

[17]  M. Semenov,et al.  Use of multi-model ensembles from global climate models for assessment of climate change impacts. , 2010 .

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

[19]  P. Shewry,et al.  Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe , 2011, Scientific reports.

[20]  J. Christensen,et al.  On the need for bias correction of regional climate change projections of temperature and precipitation , 2008 .

[21]  Anne Gobin Modelling climate impacts on crop yields in Belgium. , 2010 .

[22]  Dirk Raes,et al.  Cereal yield stabilization in Terai (Nepal) by water and soil fertility management modeling , 2013 .

[23]  D. Raes,et al.  AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles , 2009 .

[24]  A. Rogers,et al.  The response of photosynthesis and stomatal conductance to rising [CO2]: mechanisms and environmental interactions. , 2007, Plant, cell & environment.

[25]  Dirk Raes,et al.  Use of the FAO AquaCrop model in developing sowing guidelines for rainfed maize in Zimbabwe , 2014 .

[26]  H. J. van der Fels-Klerx,et al.  Changes in time of sowing, flowering and maturity of cereals in Europe under climate change , 2012, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[27]  J. Porter,et al.  Crop responses to climatic variation , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[28]  P. Linden,et al.  ENSEMBLES: Climate Change and its Impacts - Summary of research and results from the ENSEMBLES project , 2009 .

[29]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[30]  Carlos H. Díaz-Ambrona,et al.  Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models , 2007 .

[31]  Mikhail A. Semenov,et al.  A serial approach to local stochastic weather models , 1991 .

[32]  T. Carter,et al.  Future scenarios of European agricultural land use: II. Projecting changes in cropland and grassland , 2005 .

[33]  M. Donatelli,et al.  ELPIS: a dataset of local-scale daily climate scenarios for Europe. , 2010 .

[34]  T. Carter,et al.  Assessing uncertainties in climate change impacts on resource potential for Europe based on projections from RCMs and GCMs , 2007 .

[35]  T. Knoke,et al.  Cost-effective compensation to avoid carbon emissions from forest loss: An approach to consider price–quantity effects and risk-aversion , 2011 .

[36]  P. H. Ang,et al.  A comparison of different regional climate models and statistical downscaling methods for extreme rainfall estimation under climate change , 2012 .

[37]  Reto Knutti,et al.  The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[38]  Henrik Madsen,et al.  Climate change impacts on rainfall extremes and urban drainage , 2013 .

[39]  M. Bindi,et al.  Impacts of Present and Future Climate Variability on Agriculture and Forestry in the Temperate Regions: Europe , 2005 .

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

[41]  Mark Stitt,et al.  The interaction between elevated carbon dioxide and nitrogen nutrition: the physiological and molecular background , 1999 .

[42]  Carlos H. Díaz-Ambrona,et al.  Assessment of climate change and agriculture in spain using climate models , 2001 .

[43]  J. Porter,et al.  Modelling CO2 effects on wheat with varying nitrogen supplies , 2000 .

[44]  Elías Fereres,et al.  AquaCrop: FAO's crop water productivity and yield response model , 2014, Environ. Model. Softw..

[45]  Patrick Willems,et al.  Quantifying field-scale effects of elevated carbon dioxide concentration on crops , 2012 .

[46]  A. Rogers,et al.  Elevated CO2 effects on plant carbon, nitrogen, and water relations: six important lessons from FACE. , 2009, Journal of experimental botany.

[47]  A. Gobiet,et al.  Empirical‐statistical downscaling and error correction of daily precipitation from regional climate models , 2011 .

[48]  Volker Wulfmeyer,et al.  HESS Opinions "Should we apply bias correction to global and regional climate model data?" , 2012 .

[49]  Pierluigi Calanca,et al.  Potential effects of changes in mean climate and climate variability on the yield of winter and spring crops in Switzerland , 2007 .

[50]  K. Hakala,et al.  Crop responses to climate and socioeconomic change in northern regions , 2013, Regional Environmental Change.

[51]  David P. Rowell,et al.  Robustness of Future Changes in Local Precipitation Extremes , 2008 .

[52]  D. Raes,et al.  Comparing climate change impacts on cereals based on CMIP3 and EU-ENSEMBLES climate scenarios. , 2014 .

[53]  J. Porter,et al.  A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand , 1991 .

[54]  Patrick Willems,et al.  Considering sink strength to model crop production under elevated atmospheric CO2 , 2011 .

[55]  P. Willems,et al.  Climate change scenarios for precipitation and potential evapotranspiration over central Belgium , 2009 .

[56]  Mikhail A. Semenov,et al.  Modelling the variability of UK sugar beet yields under climate change and husbandry adaptations , 2006 .

[57]  M. Rounsevell,et al.  Future scenarios of European agricultural land use: I. Estimating changes in crop productivity , 2005 .

[58]  R. Katz,et al.  Reducing overdispersion in stochastic weather generators using a generalized linear modeling approach , 2012 .

[59]  Alban Thomas,et al.  Regulating Nitrogen Pollution with Risk Averse Farmers Under Hidden Information and Moral Hazard , 2006 .

[60]  David Zilberman,et al.  Effects of decoupling on the mean and variability of output , 2006 .

[61]  German Spangenberg,et al.  Improving yield potential in crops under elevated CO2: Integrating the photosynthetic and nitrogen utilization efficiencies , 2012, Front. Plant Sci..

[62]  P. Willems,et al.  Influence of downscaling methods in projecting climate change impact on hydrological extremes of upper Blue Nile basin , 2013 .

[63]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[64]  Dirk Raes,et al.  SOWING STRATEGIES FOR BARLEY (HORDEUM VULGARE L.) BASED ON MODELLED YIELD RESPONSE TO WATER WITH AQUACROP , 2012, Experimental Agriculture.

[65]  Iwan Supit,et al.  Recent changes in the climatic yield potential of various crops in Europe , 2010 .

[66]  Marco Bindi,et al.  Climate change impact assessment: the role of climate extremes in crop yield simulation , 2011 .

[67]  T. Wigley,et al.  Downscaling general circulation model output: a review of methods and limitations , 1997 .

[68]  J. Houghton,et al.  Climate Change 2013 - The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .

[69]  Mikhail A. Semenov,et al.  Modelling nitrogen uptake and redistribution in wheat , 2000 .

[70]  D. Raes,et al.  AquaCrop — The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description , 2009 .

[71]  D. Taub,et al.  Effects of elevated CO2 on the protein concentration of food crops: a meta‐analysis , 2008 .

[72]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[73]  F. Ludwig,et al.  Assessing climate change effects on European crop yields using the Crop Growth Monitoring System and a weather generator , 2012 .

[74]  Marco Bindi,et al.  Climatic changes and associated impacts in the Mediterranean resulting from a 2°C global warming , 2009 .

[75]  Eline Vanuytrecht Crop Responses to Climate Change: Impact on Agricultural Production and the Soil Water Balance in the Flemish Region of Belgium , 2013 .

[76]  R. Leconte,et al.  Uncertainty of downscaling method in quantifying the impact of climate change on hydrology , 2011 .

[77]  Saumitra Das,et al.  Interplay between NS3 protease and human La protein regulates translation-replication switch of Hepatitis C virus , 2011, Scientific reports.

[78]  J. Olsson,et al.  Climate change impact assessment on urban rainfall extremes and urban drainage: Methods and shortcomings , 2012 .

[79]  L. Ruby Leung,et al.  Regional climate modeling: Progress, challenges, and prospects , 2004 .

[80]  A. Pathirana,et al.  Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems , 2012 .

[81]  T. Kaukoranta,et al.  Impact of spring warming on sowing times of cereal, potato and sugar beet in Finland , 2008 .

[82]  H. Storch,et al.  Regional climate models add value to global model data, A Review and Selected Examples , 2011 .

[83]  Linda O. Mearns,et al.  MEAN AND VARIANCE CHANGE IN CLIMATE SCENARIOS: METHODS, AGRICULTURAL APPLICATIONS, AND MEASURES OF UNCERTAINTY , 1997 .

[84]  Robert J. A. Jones,et al.  Climate change and land suitability for potato production in England and Wales: impacts and adaptation , 2011, The Journal of Agricultural Science.

[85]  P. Jamieson,et al.  Sirius: a mechanistic model of wheat response to environmental variation , 1998 .

[86]  T. Kätterer,et al.  Modelling C, N, water and heat dynamics in winter wheat under climate change in southern Sweden , 2001 .

[87]  Céline Nauges,et al.  The story of the moment: risk averse cypriot farmers respond to drought management , 2008 .

[88]  Kerry R. Pearn,et al.  What can scenario modelling tell us about future European scale agricultural land use, and what not? , 2006 .