New evidence in all aspects of P-speciation and P–transformations in the system soil-crops-environment will result in improved P-fertilizer recommendations, approaches to mobilize unavailable P-stocks in subsoils, application guidelines for innovative P-recycling products, novel concepts for “smart” P-fertilizers with by-effects as well as recommendations for policy makers. InnoSoilPhos will provide the BonaRes-center with all P-specific soil data, pedotransfer functions and concepts for web-based soil-function-models.
Project results from phase 1
Quantum-chemical modelling revealed the binding energy of phosphate and organic P-compounds (e.g. glyphosate) on reactive soil surfaces. Enzymatic and molecular-biological investigations on rhizosphere showed mechanism of P-mobilization under the influence of different management strategies. Data analysis of long-term field experiment resulted in crop-specific phosphorus supply as well as fertilizer policy. Improved and decreased P fertility classes were derived from data sets, which could lead to saving potentials in fertilizer application. Reduction of P-losses in waters necessitate the control of peak discharges in drained areas. P return of bones by means of pyrolysis and interim use of bone char as absorber material is targeting the conservation of geogenic P resources by recycling. P management derived by the project can be improved due to regulatory and economic control instruments.
Expected results from phase 2
In phase 2 we complete the quantum-chemical modelling of the most important P-binding mechanisms in soil including surface modifications by organic matter. Soil biological/microbiological investigations will result in better understanding of rhizosphere P-mobilization, especially if initiated by intercrops. Novel field experiments will establish diagnostic criterial for P starvation in crops and the effects of P recycling products. Furthermore, the P transformations under the influence of varying redox potentials will be studied at different scales. Meta data evaluations will result in improved P-fertilizer recommendations compiled as computer application. The P-fertilization patterns at farm scale in typical agricultural regions in Northern Germany will be disclosed and serve as a basis for economic evaluations and governance options.