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| Titel |
Using the ECOSSE model to simulate soil N and N2O fluxes from European cropland soils |
| VerfasserIn |
Madeleine Bell, Jagadeesh Yeluripati, Edward Jones, Jo Smith, Pete Smith |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250055693
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| Zusammenfassung |
| Soil is the single largest source of Nitrous oxide (N2O), with 60 % of global anthropogenic
emissions of N2O originating from agricultural soils. At a time when there is increasing
pressure for countries to limit their greenhouse gas (GHG) emissions, and reduce their impact
on global warming, there is a requirement to better estimate the extent of current
agricultural emissions of N2O, and to understand how these emissions from agricultural
land can be reduced. Before estimates of N2O emissions can be made for large
areas globally, and before the impacts of future land-use and climate change on
these emissions can be stated with confidence, it is essential to understand and
accurately simulate the processes responsible for N2O emissions from agricultural
soils.
Models have been produced to simulate soil nitrogen (N) and N2O fluxes to the
atmosphere, based on simulations of N and carbon (C) turnover. Simulations of N2O fluxes
rely on accurately simulating the processes of nitrification and denitrification, which
requires knowledge of the impact of environmental conditions and land management
on these processes. The ECOSSE model has been developed to be used on both
mineral and organic soils, and requires only limited metrological and soil data,
therefore making it simpler to use than other more complex models. The model
includes the major processes of N turnover, with material being exchanged between
pools of SOM at rates modified by temperature, soil moisture, soil pH and crop
cover. Despite the complexity within the model, the equations to run it require
only the following readily available input data: crop yield, fertiliser and manure
application rates, temperature and rainfall data, soil water content, and soil physical
properties.
The ECOSSE model has been run for three European croplands, and the model outputs
compared to measured data from these sites. Results will be presented showing the accuracy
of model runs, and the ability of the ECOSSE model to predict soil N contents and N2O
fluxes from agricultural land in Europe. At the Grignon site in France r2 values of 0.62 and
0.45 indicate a significant association between modelled and measured soil NH4+ and soil
NO3- respectively. Statistical analysis reveals no significant bias in the simulation
of N2O, NO, NH4+ or NO3-. A significant association was also found between
modelled and measured values of soil NH4+ and NO3- at the Gebesee cropland site in
Germany. The ability to simulate measured data using this model suggests that
process knowledge relating to N turnover contained within ECOSSE is adequate.
With the model predicting soil N turnover and N2O fluxes with such accuracy at
site level, predictions of current fluxes on a larger scale, and the impact of future
land-use and climate change scenarios can now be made with greater confidence. |
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