A modeling study on mitigation of N2O emissions and NO3 leaching at different agricultural sites across Europe using LandscapeDNDC.

摘要: The identification of site-specific agricultural management practices in order to maximize yield while minimizing environmental nitrogen losses remains the center pollution research. Here, we used biogeochemical model LandscapeDNDC explore different with regard their potential reduce soil N2O emissions and NO3 leaching maintaining yields. In a first step, was tested against observations emissions, leaching, micrometeorology as well crop growth for eight European cropland grassland sites. Across sites, predicts very mean (r(2)=0.99) simulates magnitude general temporal dynamics inorganic pools. For assessment mitigation potentials Monte Carlo optimization technique considering options (i.e., timing planting, harvest fertilization, amount applied fertilizer residue management) used. identified optimized field from croplands on average by 21% 31%, respectively. Likewise, reductions 55% 16% are estimated grasslands. mitigating loss - levels it most important application rates 10%. Our analyses indicate that scaled possible improvements use efficiencies farming systems. Moreover, approach can be also prognostic way predict optimal timings fertilization (rates splitting) upon accurate weather forecasts combined knowledge modeled nutrient availability plant demand.