Book/Dissertation / PhD Thesis

FZJ-2017-07380

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Potential use of nitrification inhibitors for mitigating N$_{2}$O emission from soils

Di, W. (Corresponding author)FZJ*

2017
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag Jülich
ISBN: 978-3-95806-264-1

Please use a persistent id in citations: http://hdl.handle.net/2128/15819  urn:nbn:de:0001-2017120733

Abstract: The use of nitrification inhibitors (NI) to reduce nitrous oxide (N$_{2}$O) emissions is a promising strategy to improve N fertilizer use efficiency and to help minimize emissions of the climate relevant gas N$_{2}$O in agricultural systems. Better understanding of factors and drivers controlling the N$_{2}$O mitigation effectiveness is crucial for implementing optimal NI application strategies. However, the understanding of the underlying pathways involved in N$_{2}$O production and consumption in soils is still fragmentary, which hampers real insight into the N$_{2}$O mitigation mechanisms using NIs as well as NI mitigation effectiveness under various soil conditions. It has been generally assumed that nitrification inhibitors have no direct effect on denitrification and therefore should have no mitigation effect on N$_{2}$O emissions derived from denitrification. However, the indirect impact of NIs, due to the reduced substrate (NO$_{3}^{-}$) delivery to those microsites where denitrification occurs, may have significant effects on denitrification product stoichiometry that may significantly lower soilborne N$_{2}$O emissions. Moreover, the inhibition effects of NIs on N$_{2}$O produced via the nitrifier denitrification pathway could also play an important role, which has generally been neglected. These facts suggest that NI might be used for mitigating N$_{2}$O emissions even underconditions of higher soil moisture. [...]

Note: Universität Bonn, Diss., 2017

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2017

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Database coverage:
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