First-order impacts on winter and summer crops assessed with various high-resolution climate models in the Iberian Peninsula

The first-order or initial agricultural impacts of climate change in the Iberian Peninsula were evaluated by linking crop simulation models to several high-resolution climate models (RCMs). The RCMs provided the daily weather data for control, and the A2 and B2 IPCC scenarios. All RCMs used boundary conditions from the atmospheric general circulation model (AGCM) HadAM3 while two were also bounded to two other AGCMs. The analyses were standardised to control the sources of variation and uncertainties that were added in the process. Climatic impacts on wheat and maize of climate were derived from the A2 scenario generated by RCMs bounded to HadAM3. Some results derived from B2 scenarios are included for comparisons together with impacts derived from RCMs using different boundary conditions. Crop models were used as impact models and yield was used as an indicator that summarised the effects of climate to quantify initial impacts and differentiate among regions. Comparison among RCMs was made through the choice of different crop management options. All RCM-crop model combinations detected crop failures for winter wheat in the South under control and future scenarios, and projected yield increases for spring wheat in northern and high altitude areas. Although projected impacts differed among RCMs, similar trends emerged for relative yields for some regions. RCM-crop model outputs compared favourably to others using European Re-Analysis data (ERA-15), establishing the feasibility of using direct daily outputs from RCM for impact analysis. Uncertainties were quantified as the standard deviation of the mean obtained for all RCMs in each location and differed greatly between winter (wheat) and summer (maize) seasons, being smaller in the latter.

[1]  L. Mearns Issues in the Impacts of Climate Variability and Change on Agriculture , 2003 .

[2]  Harold A. Mooney,et al.  Carbon dioxide and terrestrial ecosystems , 1997 .

[3]  Benoit Gabrielle,et al.  A priori parameterisation of the CERES soil-crop models and tests against several European data sets , 2002 .

[4]  F. Tubiello,et al.  Simulating the effects of elevated CO2 on crops: approaches and applications for climate change , 2002 .

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

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

[7]  John F. B. Mitchell,et al.  The second Hadley Centre coupled ocean-atmosphere GCM: model description, spinup and validation , 1997 .

[8]  M. Granger Morgan,et al.  Understanding Climatic Impacts, Vulnerabilities, and Adaptation in the United States: Building a Capacity for Assessment , 2003 .

[9]  Linda O. Mearns Issues in the Impacts of Climate Variability and Change on Agriculture , 2003 .

[10]  Ana Iglesias,et al.  Agricultural impacts of climate change in Spain: developing tools for a spatial analysis , 2000 .

[11]  M. I. Minguez,et al.  Prospects for Maize Production in Spain Under Climate Change , 1995 .

[12]  Robert S. Loomis,et al.  18 – Integrating Knowledge of Crop Responses to Elevated CO2 and Temperature with Mechanistic Simulation Models: Model Components and Research Needs , 1996 .

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

[14]  M. Gonzalez-Meler,et al.  Plant respiration and elevated atmospheric CO2 concentration: cellular responses and global significance. , 2004, Annals of botany.

[15]  W. Gates The use of general circulation models in the analysis of the ecosystem impacts of climatic change , 1985 .

[16]  Mary W. Downton,et al.  Response of Soybean and Sorghum to Varying Spatial Scales of Climate Change Scenarios in the Southeastern United States , 2003 .

[17]  J. Passioura Simulation Models: Science, Snake Oil, Education, or Engineering? , 1996 .

[18]  C. Rosenzweig,et al.  Testing ceres-wheat with Free-Air Carbon dioxide enrichment (FACE) experiment data : CO2 and water interactions , 1999 .

[19]  Kenneth J. Boote,et al.  Testing CERES-Maize versions to estimate maize production in a cool environment , 2005 .

[20]  M. Castro,et al.  Relevance of Regional Models for Analyzing Future Climate Change in the Iberian Peninsula , 1995 .

[21]  F. Giorgi,et al.  PRUDENCE employs new methods to assess European climate change , 2002 .

[22]  F. Giorgi,et al.  Climate Scenarios for the Southeastern U.S. Based on GCM and Regional Model Simulations , 2003 .

[23]  J. R. Ritchie,et al.  Description and performance of CERES-Wheat: a user-oriented wheat yield model , 1985 .

[24]  P. Pinter,et al.  Free-air CO2 enrichment effects on the energy balance and evapotranspiration of sorghum , 2004 .

[25]  M. Quemada,et al.  Nitrogen release from surface-applied cover crop residues: Evaluating the CERES-N submodel , 1997 .