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Finding a Suitable CO2 Response Algorithm for Crop Growth Simulation in Germany

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Crop Modeling and Decision Support

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Abstract

A soil-crop-environment model was used to describe the combined effects of atmospheric carbon dioxide concentration [CO2], temperature and precipitation on different agricultural crop species. Within this model, a set of algorithms describing CO2 response to photosynthesis and crop water use efficiency, which were different in complexity and parameter requirements, was tested for its suitability to explain crop growth responses and soil water dynamics observed over six years in a crop rotation (winter barley, sugar beet and winter wheat) with two cycles under normal and elevated atmospheric CO2 levels (FACE experiment; Weigel and Dämmgen, 2000).

All algorithms were able to describe an observed increase in above-ground dry matter for all crops in the rotation, with Willmott’s Index of Agreement (IoA) ranging between 0.93 and 0.99. Increasing water use efficiency with rising CO2 was also successfully portrayed (IoA 0.80 − 0.86). A combination of a semi-empirical Michaelis-Menten approach, describing a direct impact of CO2 on photosynthesis, and a Penman-Monteith approach with a simple stomata conduction model for evapotranspiration yielded the best simulation result. This combination is therefore considered suitable for the description of yield responses to rising [CO2] at the regional level. However, the performance of all tested algorithms was only marginally different, at 550 ppm CO2.

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Authors and Affiliations

  1. Leibniz Centre of Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, D-15374, Müncheberg, Germany

    C. Nendel, K. C. Kersebaum, W. Mirschel & K. O. Wenkel

  2. Johann Heinrich von Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries), Institute of Biodiversity, Bundesallee 50, D- 38116, Braunschweig, Germany

    R. Manderscheid & H. J. Weigel

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  1. C. Nendel
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  2. K. C. Kersebaum
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  3. W. Mirschel
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  4. R. Manderscheid
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  5. H. J. Weigel
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  6. K. O. Wenkel
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Correspondence to C. Nendel .

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Editors and Affiliations

  1. Nanjing Agricultural University, 210095, Nanjing, P.R.China

    Weixing Cao

  2. ALARC, USDA ARS, 21881 N Cardon Lane, Maricopa, AZ, 85238, USA

    Jeffrey W. White

  3. CSIRO Land and Water, GPO Box 1666, Canberra, ACT, 2601

    Enli Wang

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© 2009 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg

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Nendel, C., Kersebaum, K.C., Mirschel, W., Manderscheid, R., Weigel, H.J., Wenkel, K.O. (2009). Finding a Suitable CO2 Response Algorithm for Crop Growth Simulation in Germany. In: Cao, W., White, J.W., Wang, E. (eds) Crop Modeling and Decision Support. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01132-0_4

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