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@ARTICLE{Prolingheuer:153795,
author = {Prolingheuer, N. and Scharnagl, B. and Graf, A. and
Vereecken, H. and Herbst, M.},
title = {{O}n the spatial variation of soil rhizospheric and
heterotrophic respiration in a winter wheat stand},
journal = {Agricultural and forest meteorology},
volume = {195-196},
issn = {0168-1923},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2014-03281},
pages = {24 - 31},
year = {2014},
abstract = {Field-scale soil respiration reveals a tremendous
variability in space. In order to quantify the spatial
variability originating from the heterotrophic and the
rhizospheric contribution to total soil respiration, the
root exclusion method was applied. At 61 locations within a
50 m × 50 m plot in a winter wheat stand, 7 cm-collars and
50 cm-collars were inserted prior to the root growth to
simultaneously measure total respiration and heterotrophic
respiration. The rhizospheric component was determined as
the difference between the flux measurements of total and
heterotrophic respiration. During the vegetation period
2009, in total 18 repeated measurements, including soil
temperature and moisture, were carried out.The highest
spatial variability in terms of standard deviation up to 2.9
mol CO2 m−2 s−1 was detected for the rhizospheric
respiration during the period of massive plant growth.
Compared to the heterotrophic contribution the coefficient
of variation in space was constantly higher for the
rhizospheric contribution. Variogram analyses revealed an
almost completely random spatial distribution of
heterotrophic respira- tion, whereas the rhizospheric
respiration showed a clear spatial autocorrelation. The
spatial pattern of total respiration mainly resembles the
pattern of the rhizospheric component and is characterized
by an average spatial correlation length of 18 m.The results
indicate that the sampling design for chamber-based
measurements of soil respiration in agro-ecosystems should
account for the high spatial variability during plant growth
and collars should be separated by a distance larger than
the spatial correlation range to ensure uncorrelated samples
and thus unbiased representative flux estimates.},
cin = {IBG-3},
ddc = {630},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / 255 - Terrestrial Systems:
From Observation to Prediction (POF3-255)},
pid = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000339216600003},
doi = {10.1016/j.agrformet.2014.04.016},
url = {https://juser.fz-juelich.de/record/153795},
}