Details zur Publikation
|Titel (primär)||Simulating the soil phosphorus dynamics of four long term field experiments with a novel phosphorus model|
|Autor||Gasser, S.A.A.; Nielsen, K.; Eichler-Löbermann, B.; Armbruster, M.; Merbach, I.; Franko, U.|
|Journal / Serie||Soil Use and Management|
|Topic||T5 Future Landscapes|
|Keywords||soil P dynamics; soil process modelling; CNP-model; total P and available P|
Phosphorus is a non-renewable 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 is 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 non available 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, farm yard manure as organic fertilizer and control plots without fertilization. The C dynamics as well as 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.
|Gasser, S.A.A., Nielsen, K., Eichler-Löbermann, B., Armbruster, M., Merbach, I., Franko, U. (2023):
Simulating the soil phosphorus dynamics of four long term field experiments with a novel phosphorus model
Soil Use Manage. 39 (2), 867 - 880