Due to rapid sorption of phosphate released by mineralization processes, in most soils net organic P mineralization rates cannot be derived from changes in extractable inorganic P over time. Besides, a mechanistic understanding is only obtained if the individual gross P transformation rates are known. Available techniques for the quantification of gross P transformation rates rely on isotopic dilution principles. To unambiguously analyse the full dynamics and quantify all relevant simultaneously occurring P transformation rates in soil, we developed a numerical 33P tracing model. The tracing model combines a process-based numerical model with a parameter optimization routine to estimate gross P rates. Each rate can follow either zero-order, first-order or Michaelis–Menten kinetics. The tracing model was used to analyse a previously published dataset by Bünemann et al. (2012). The model was able to simulate the observed dynamics. However, gross organic P mineralization rates were lower than previously published. Net organic P mineralization rates tended towards zero, confirming the overriding dominance of microbial immobilization and re-mineralization processes in the studied grassland soil. The P tracing model presented in this study removes the need for the baseline of isotopic dilution due to physicochemical processes. The dynamic 33P tracing model, which takes into account simultaneous dilution and enrichment, presents an important advancement over the conventional estimation of gross P transformations in isotopic dilution experiments.
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