TY - JOUR A1 - Gasser, S. Anton A. A1 - Nielsen, Kerstin A1 - Eichler‐Löbermann, Bettina A1 - Armbruster, Martin A1 - Merbach, Ines A1 - Franko, Uwe T1 - Simulating the soil phosphorus dynamics of four long‐term field experiments with a novel phosphorus model Y1 - 2023-02-01 VL - 39 IS - 2 SP - 867 EP - 880 JF - Soil Use and Management DO - 10.1111/sum.12881 PB - N2 - 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 (Pav), which is in a dynamic equilibrium with the nonavailable P‐pool (Pna) 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 Pav dynamics were modelled with overall good results. The relative RMSE for the C was below 10% for all treatments, while the relative RMSE for Pav 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. UR - http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/11188 ER -