• Media type: E-Article
  • Title: Simulating the soil phosphorus dynamics of four long‐term field experiments with a novel phosphorus model
  • Contributor: Gasser, S. Anton A. [Author]; Nielsen, Kerstin [Author]; Eichler‐Löbermann, Bettina [Author]; Armbruster, Martin [Author]; Merbach, Ines [Author]; Franko, Uwe [Author]; 2 Lebenswissenschaftliche Fakultät Institut für Agrar‐und Stadtökologische Projekte an der Humboldt‐Universität zu Berlin (IASP) Berlin Germany [Author]; 3 Agronomy and Crop Science University of Rostock Rostock Germany [Author]; 4 Agricultural Analytical and Research Institute Speyer (LUFA Speyer) Speyer Germany [Author]; 1 Helmholtz Centre for Environmental Research GmbH – UFZ Halle (Saale) Germany [Author]
  • Published: GEO-LEOe-docs (FID GEO), 2023-02-01
  • Language: English
  • DOI: https://doi.org/10.1111/sum.12881
  • Keywords: total P and available P ; soil process modelling ; soil P dynamics ; CNP‐model
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  • Description: Phosphorus is a nonrenewable resource, which is required for crop growth and to maintain high yields. The soil P cycle is very complex, and new model approaches can lead to a better understanding of those processes and further guide to research gaps. The objective of this study was to present a P‐submodel, which has been integrated in the existing Carbon Candy Balance (CCB) model that already comprises a C and N module. The P‐module is linked to the C mineralization and the associated C‐pools via the C/P ratio of fresh organic material. Besides the organic P cycling, the module implies a plant‐available P‐pool (P av ), which is in a dynamic equilibrium with the nonavailable P‐pool (P na ) that comprises the strongly sorbed and occluded P fraction. The model performance was tested and evaluated on four long‐term field experiments with mineral P fertilization, farmyard manure as organic fertilizer and control plots without fertilization. The C dynamics and the P av dynamics were modelled with overall good results. The relative RMSE for the C was below 10% for all treatments, while the relative RMSE for P av was below 15% for most treatments. To accommodate for the rather small variety of available P‐models, the presented CNP‐model is designed for agricultural field sites with a relatively low data input, namely air temperature, precipitation, soil properties, yields and management practices. The CNP‐model offers a low entry threshold model approach to predict the C‐N and now the P dynamics of agricultural soils. ; Fachagentur Nachwachsende Rohstoffe http://dx.doi.org/10.13039/501100010812
  • Access State: Open Access