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• W2277327718 abstract "The identification of site-specific agricultural management practices in order to maximize yield while minimizing environmental nitrogen losses remains in the center of environmental pollution research. Here, we used the biogeochemical model LandscapeDNDC to explore different agricultural practices with regard to their potential to reduce soil N2O emissions and NO3 leaching while maintaining yields. In a first step, the model was tested against observations of N2O emissions, NO3 leaching, soil micrometeorology as well as crop growth for eight European cropland and grassland sites. Across sites, LandscapeDNDC predicts very well mean N2O emissions (r2 = 0.99) and simulates the magnitude and general temporal dynamics of soil inorganic nitrogen pools. For the assessment of site-specific mitigation potentials of environmental nitrogen losses a Monte Carlo optimization technique considering different agricultural management options (i.e., timing of planting, harvest and fertilization, amount of applied fertilizer as well as residue management) was used. The identified optimized field management practices reduce N2O emissions and NO3 leaching from croplands on average by 21% and 31%, respectively. Likewise, average reductions of 55% for N2O emissions and 16% for NO3 leaching are estimated for grasslands. For mitigating environmental loss - while maintaining yield levels - it was most important to reduce fertilizer application rates by in average 10%. Our analyses indicate that yield scaled N2O emissions and NO3 leaching indicate possible improvements of nitrogen use efficiencies in European farming systems. Moreover, the applied optimization approach can be used also in a prognostic way to predict optimal timings and fertilization options (rates and splitting) upon accurate weather forecasts combined with the knowledge of modeled soil nutrient availability and plant nitrogen demand." @default.
• W2277327718 created "2016-06-24" @default.
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• W2277327718 date "2016-05-01" @default.
• W2277327718 modified "2023-10-12" @default.
• W2277327718 title "A modeling study on mitigation of N2O emissions and NO3 leaching at different agricultural sites across Europe using LandscapeDNDC" @default.
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• W2277327718 cites W1608344329 @default.
• W2277327718 cites W1615875926 @default.
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• W2277327718 cites W1972347676 @default.
• W2277327718 cites W1977327136 @default.
• W2277327718 cites W1978540823 @default.
• W2277327718 cites W1979801245 @default.
• W2277327718 cites W1980142432 @default.
• W2277327718 cites W1987074071 @default.
• W2277327718 cites W1994552280 @default.
• W2277327718 cites W1996390301 @default.
• W2277327718 cites W1999897898 @default.
• W2277327718 cites W2002239606 @default.
• W2277327718 cites W2004174317 @default.
• W2277327718 cites W2004876376 @default.
• W2277327718 cites W2004902958 @default.
• W2277327718 cites W2005194993 @default.
• W2277327718 cites W2013554602 @default.
• W2277327718 cites W2014763056 @default.
• W2277327718 cites W2015806889 @default.
• W2277327718 cites W2020023668 @default.
• W2277327718 cites W2022496670 @default.
• W2277327718 cites W2025839433 @default.
• W2277327718 cites W2026015353 @default.
• W2277327718 cites W2026541373 @default.
• W2277327718 cites W2027737899 @default.
• W2277327718 cites W2027976059 @default.
• W2277327718 cites W2030808363 @default.
• W2277327718 cites W2039225981 @default.
• W2277327718 cites W2048851157 @default.
• W2277327718 cites W2050351865 @default.
• W2277327718 cites W2050817640 @default.
• W2277327718 cites W2051153216 @default.
• W2277327718 cites W2051695272 @default.
• W2277327718 cites W2051898806 @default.
• W2277327718 cites W2053091563 @default.
• W2277327718 cites W2054154141 @default.
• W2277327718 cites W2055412019 @default.
• W2277327718 cites W2056270180 @default.
• W2277327718 cites W2061059630 @default.
• W2277327718 cites W2063530286 @default.
• W2277327718 cites W2064302020 @default.
• W2277327718 cites W2068777395 @default.
• W2277327718 cites W2069815332 @default.
• W2277327718 cites W2075169141 @default.
• W2277327718 cites W2076336604 @default.
• W2277327718 cites W2077504363 @default.
• W2277327718 cites W2078481873 @default.
• W2277327718 cites W2080575029 @default.
• W2277327718 cites W2087249783 @default.
• W2277327718 cites W2089894319 @default.
• W2277327718 cites W2103752635 @default.
• W2277327718 cites W2113290607 @default.
• W2277327718 cites W2113507655 @default.
• W2277327718 cites W2129725399 @default.
• W2277327718 cites W2134351936 @default.
• W2277327718 cites W2136596893 @default.
• W2277327718 cites W2142173593 @default.
• W2277327718 cites W2143085858 @default.
• W2277327718 cites W2143499081 @default.
• W2277327718 cites W2146630035 @default.
• W2277327718 cites W2148333466 @default.
• W2277327718 cites W2148620190 @default.
• W2277327718 cites W2151147279 @default.
• W2277327718 cites W2154610441 @default.
• W2277327718 cites W2158168704 @default.
• W2277327718 cites W2158765373 @default.
• W2277327718 cites W2164735824 @default.
• W2277327718 cites W2171542838 @default.
• W2277327718 cites W2289151841 @default.
• W2277327718 cites W4233315073 @default.
• W2277327718 cites W4233471061 @default.
• W2277327718 cites W4246536330 @default.
• W2277327718 doi "https://doi.org/10.1016/j.scitotenv.2015.12.099" @default.
• W2277327718 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26909705" @default.
• W2277327718 hasPublicationYear "2016" @default.

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