% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Liu:282911,
author = {Liu, Shurong and Herbst, Michael and Bol, Roland and
Gottselig, Nina and Pütz, Thomas and Weymann, Daniel and
Wiekenkamp, Inge and Vereecken, Harry and Brüggemann,
Nicolas},
title = {{T}he contribution of hydroxylamine content to spatial
variability of {N}2{O} formation in soil of a {N}orway
spruce forest},
journal = {Geochimica et cosmochimica acta},
volume = {178},
issn = {0016-7037},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2016-01650},
pages = {76 - 86},
year = {2016},
abstract = {Hydroxylamine (NH2OH), a reactive intermediate of several
microbial nitrogen turnover processes, is a potential
precursor of nitrous oxide (N2O) formation in the soil.
However, the contribution of soil NH2OH to soil N2O emission
rates in natural ecosystems is unclear. Here, we determined
the spatial variability of NH2OH content and potential N2O
emission rates of organic (Oh) and mineral (Ah) soil layers
of a Norway spruce forest, using a recently developed
analytical method for the determination of soil NH2OH
content, combined with a geostatistical Kriging approach.
Potential soil N2O emission rates were determined by
laboratory incubations under oxic conditions, followed by
gas chromatographic analysis and complemented by ancillary
measurements of soil characteristics. Stepwise multiple
regressions demonstrated that the potential N2O emission
rates, NH2OH and nitrate (NO3−) content were spatially
highly correlated, with hotspots for all three parameters
observed in the headwater of a small creek flowing through
the sampling area. In contrast, soil ammonium (NH4+) was
only weakly correlated with potential N2O emission rates,
and was excluded from the multiple regression models. While
soil NH2OH content explained the potential soil N2O emission
rates best for both layers, also NO3− and Mn content
turned out to be significant parameters explaining N2O
formation in both soil layers. The Kriging approach was
improved markedly by the addition of the co-variable
information of soil NH2OH and NO3− content. The results
indicate that determination of soil NH2OH content could
provide crucial information for the prediction of the
spatial variability of soil N2O emissions.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000371332900005},
doi = {10.1016/j.gca.2016.01.026},
url = {https://juser.fz-juelich.de/record/282911},
}