2020
DOI: 10.1016/j.scitotenv.2019.134597
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Long-term modelling of crop yield, nitrogen losses and GHG balance in organic cropping systems

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Cited by 16 publications
(10 citation statements)
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References 83 publications
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“…The results show that the long-term legacy effects of residue N inputs (5-8 years) may be about half those of the recent cycle (1-4 years). Such effects are clearly important and align well with simulated effects of soil fertility building in organic arable cropping systems (Autret et al, 2020;Doltra et al, 2019).…”
Section: Effects Of Short-term N Management Versus Long-term Effectssupporting
confidence: 70%
“…The results show that the long-term legacy effects of residue N inputs (5-8 years) may be about half those of the recent cycle (1-4 years). Such effects are clearly important and align well with simulated effects of soil fertility building in organic arable cropping systems (Autret et al, 2020;Doltra et al, 2019).…”
Section: Effects Of Short-term N Management Versus Long-term Effectssupporting
confidence: 70%
“…Both STICS and AMG made good predictions of changes in SOC stocks in very long‐term experiments (Farina et al, 2020). STICS could also well simulate cover crop effects on SOC stocks and associated changes in N mineralization in three long‐term experiments in France (Constantin et al, 2012) and four long‐term experiments in Switzerland and Denmark (Autret et al, 2020). Finally, STICS has estimated well key environmental variables such as nitrate leaching and N 2 O emissions (Constantin et al, 2012; Plaza‐Bonilla et al, 2017; Vuichard et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Future impacts of climate variability on all crops and cropping systems could be studied by using crop growth models with long-term scenario analysis. Autret et al, (2020) did long term modeling of crop yield, N losses and GHG balance in organic cropping systems through the crop model STICS. The results showed that total N fertilization and total N gaseous loss as well as N surplus and N storage have significant correlations among each other.…”
Section: Long-term Scenario Analysismentioning
confidence: 99%