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How accurately do crop models simulate the impact of CO2 atmospheric concentration on maize yield and water use ? [O-2223-02]

Durand J.L., Delusca Kenel, Boote Kenneth J., Lizaso Jon, Manderscheid Remy, Rosenzweig Cynthia, Jones Jim, Weigel Hans Johachim, Ruane Alex C., Anapalli Saseendran S., Ahuja L., Basso Bruno, Baron Christian, Bertuzzi Patrick, Ripoche Dominique, Biernath Christian, Priesak E., Deryng Delphine, Ewert F., Gaiser T., Gayler S., Heilein F., Kersebaum Kurt Christian, Kim S.H., Müller C., Nendel Claas, Ramirez J., Tao F., Timlin D., Waha K., Twine Tracy E., Wang E., Webber Heidi, Zhao Zhigan, Rötter Reimund P., Srivastava Amit, Seidel S.. 2015. How accurately do crop models simulate the impact of CO2 atmospheric concentration on maize yield and water use ? [O-2223-02]. In : Our Common Future under Climate Change. International scientific conference Abstract Book 7-10 July 2015. Paris, France. CFCC15. Paris : CFCC15, Résumé, p. 315. Our Common Future under Climate Change, Paris, France, 7 July 2015/10 July 2015.

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Abstract : Methods and Results Given the incertitudes on the climate change impacts on C4 crops, projections of regional maize production remain speculative. Assessment of the impacts of atmospheric CO2 concentration ([CO2]) on crop yield and resources uses using mechanistic models becomes increasingly important. Free Air [CO2] Enrichment (FACE) studies offer data to test and improve model quality. The objective of this work by the AgMIP Maize group was (i) to test multiple maize models for [CO2] responses against data gathered from a FACE study under two water regimes carried out in Germany during 2007 and 2008, and (ii) to pave the way to potential model modifications so as to improve their simulations of crop responses to [CO2]. The Experiment combined two [CO2] levels with two watering regimes. Yield, leaf area, soil water content and [CO2] levels were recorded both years, 2008 only exhibiting significant water deficit. After a preliminary calibration based on non limiting water conditions and under ambient [CO2] treatments of both years, a blind simulation was undertaken for the other treatments: High [CO2] (550 ppm) 2007 and 2008, both watering regimes, and DRY AMBIENT 2007 and 2008. Secondly, with full growth and yield data along with soil moisture data of all treatments, improvements of simulation results were attempted. Changes made to the models have been documented and submitted for further analysis. The results revealed: minimal [CO2] impacts with low variations among " uncalibrated " models except for the dry season of 2008 where the observed drought impact was simulated by the majority of models; most models caught but underestimated the CO2 impact on crop water status, leaf area, grain number and yield; the CO2 effect on transpiration was generally properly simulated, transpiration per leaf area decreasing but green leaf area duration increasing at 550 ppm [CO2]. As more data from FACE experiments become available, it will be highly desirable to replicate this exercise in order to come up with more robust conclusions on these responses and to improve model response to CO2. (Texte intégral)

Classification Agris : F01 - Crop husbandry
F62 - Plant physiology - Growth and development
U10 - Mathematical and statistical methods
P40 - Meteorology and climatology
F06 - Irrigation

Auteurs et affiliations

  • Durand J.L., INRA (FRA)
  • Delusca Kenel, INRA (FRA)
  • Boote Kenneth J., University of Florida (USA)
  • Lizaso Jon, Universidad Politecnica de Madrid (ESP)
  • Manderscheid Remy, Johann Heinrich von Thunen-Institut (DEU)
  • Rosenzweig Cynthia, NASA (USA)
  • Jones Jim, University of Florida (USA)
  • Weigel Hans Johachim, Johann Heinrich von Thunen-Institut (DEU)
  • Ruane Alex C., NASA (USA)
  • Anapalli Saseendran S., USDA (FRA)
  • Ahuja L., University of Michigan (USA)
  • Basso Bruno, MSU (USA)
  • Baron Christian, CIRAD-ES-UMR TETIS (FRA)
  • Bertuzzi Patrick, INRA (FRA)
  • Ripoche Dominique, INRA (FRA)
  • Biernath Christian, Institut für Bodenökologie (FRA)
  • Priesak E., Institut für Bodenökologie (DEU)
  • Deryng Delphine, University of East Anglia (GBR)
  • Ewert F., University of Tübingen (DEU)
  • Gaiser T., University of Tübingen (DEU)
  • Gayler S., University of Tübingen (DEU)
  • Heilein F., University of Tübingen (DEU)
  • Kersebaum Kurt Christian, Leibniz Centre for Agricultural Landscape Research (DEU)
  • Kim S.H., University of Washington (USA)
  • Müller C., Potsdam Institute for Climate Impact Research (DEU)
  • Nendel Claas, Leibniz Centre for Agricultural Landscape Research (DEU)
  • Ramirez J., CIAT (COL)
  • Tao F., Chinese Academy of Sciences (CHN)
  • Timlin D., USDA (USA)
  • Waha K., IARI (IND)
  • Twine Tracy E., University of Minnesota (USA)
  • Wang E., CSIRO (AUS)
  • Webber Heidi, University of Bonn (DEU)
  • Zhao Zhigan, CAU [China Agricultural University] (CHN)
  • Rötter Reimund P., NRI (FIN)
  • Srivastava Amit, University of Bonn (DEU)
  • Seidel S., Technishe Universität Dresden (DEU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/577043/)

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