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Application of Bayesian statistics to estimate nitrous oxide emission factors of the nitrogen fertilisers in UK grasslands
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Orientador(es)
Resumo(s)
Trapezoidal integration by linear interpolation of data points is by far the most commonly used method of
cumulative flux calculations of nitrous oxide (N2O) in studies that use flux chambers; however, this method is
incapable of providing accurate uncertainty estimates. A Bayesian approach was used to calculate N2O emission
factors (EFs) and their associated uncertainties from flux chamber measurements made after the application of
nitrogen fertilisers, in the form of ammonium nitrate (AN), urea (Ur) and urea treated with Agrotain® urease
inhibitor (UI) at four grassland sites in the UK. The comparison between the cumulative fluxes estimated using
the Bayesian and linear interpolation methods were broadly similar (R2=0.79); however, the Bayesian method
was capable of providing realistic uncertainties when a limited number of data points is available. The study
reports mean EF values (and 95% confidence intervals) of 0.60 ± 0.63, 0.29 ± 0.22 and 0.26 ± 0.17% of
applied N emitted as N2O for the AN, Ur and UI treatments, respectively. There was no significant difference
between N2O emissions from the Ur and UI treatments. In the case of the automatic chamber data collected at
one site in this study, the data did not fit the log-normal model, implying that more complex models may be
needed, particularly for measurement data with high temporal resolution
Descrição
Palavras-chave
agriculture N2O urease inhibitor urea uncertainty
Contexto Educativo
Citação
Environment International 128 (2019) 362–370
Editora
Elsevier