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Process-Based Modelling of Soil–Crop Interactions for Site-Specific Decision Support in Crop Management

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Precision Agriculture: Modelling

Part of the book series: Progress in Precision Agriculture ((PRPRA))

Abstract

Spatial variation within fields influences soil water, nutrient and crop growth dynamics. Depending on climatic conditions, spatial patterns of yield are often not stable over time because weather conditions favour different processes from year to year. The same holds for rapidly fluctuating soil processes like water and nitrogen dynamics, while other soil properties remain relatively stable over a few years. Estimation of an appropriate irrigation or fertilizer amount in relation to site-specific yield expectations is essential to optimize water or nutrient use efficiency. On the other hand, farmers’ aims are often in conflict with the interest of water suppliers to keep nutrient loads below the drinking water standard. Process-based agro-ecosystem models can help to reflect the spatio-temporal dynamics in soil–crop–atmosphere relations to transcribe spatial within-field variation of temporally stable soil properties into timely and spatially adapted management decisions.

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The authors declare that there are no conflicts of interest.

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Authors and Affiliations

  1. Leibniz Centre for Agricultural Landscape and Land Use Research (ZALF), Müncheberg, Germany

    K. C. Kersebaum

  2. University of Applied Science Eberswalde, Eberswalde, Germany

    E. Wallor

Authors
  1. K. C. Kersebaum
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  2. E. Wallor
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Correspondence to K. C. Kersebaum .

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Editors and Affiliations

  1. Department of Agroecology, iClimate, Centre for Circular Bioeconomy (CBIO), Aarhus University, Tjele, Denmark

    Davide Cammarano

  2. Agrosystems Research, Wageningen University & Research, Wageningen, The Netherlands

    Frits K. van Evert

  3. Agrosystems Research, Wageningen University & Research, Wageningen, The Netherlands

    Corné Kempenaar

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Kersebaum, K.C., Wallor, E. (2023). Process-Based Modelling of Soil–Crop Interactions for Site-Specific Decision Support in Crop Management. In: Cammarano, D., van Evert, F.K., Kempenaar, C. (eds) Precision Agriculture: Modelling. Progress in Precision Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-031-15258-0_2

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