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@ARTICLE{Scharnagl:8985,
author = {Scharnagl, B. and Vrugt, J. A. and Vereecken, H. and
Herbst, M.},
title = {{I}nformation content of incubation experiments for inverse
estimation of pools in the {R}othamsted carbon model: a
{B}ayesian perspective},
journal = {Biogeosciences},
volume = {7},
issn = {1726-4170},
address = {Katlenburg-Lindau [u.a.]},
publisher = {Copernicus},
reportid = {PreJuSER-8985},
pages = {763 - 776},
year = {2010},
note = {We thank Sirgit Kummer and Wolfgang Tappe for providing the
experimental data used to estimate the precision of
mineralization rate measurements. The first, third and
fourth author gratefully acknowledge financial support by
the TERENO project and by the SFB/TR 32 "Pattern in
Soil-Vegetation-Atmosphere Systems: Monitoring, Modeling,
and Data Assimilation" funded by the Deutsche
Forschungsgemeinschaft (DFG). The work of the second author
was sponsored by a J. Robert Oppenheimer Fellowship from the
LANL Postdoctoral Program. We thank the two anonymous
referees for their insightful comments on the discussion
paper.},
abstract = {A major drawback of current soil organic carbon (SOC)
models is that their conceptually defined pools do not
necessarily correspond to measurable SOC fractions in real
practice. This not only impairs our ability to rigorously
evaluate SOC models but also makes it difficult to derive
accurate initial states of the individual carbon pools. In
this study, we tested the feasibility of inverse modelling
for estimating pools in the Rothamsted carbon model (ROTHC)
using mineralization rates observed during incubation
experiments. This inverse approach may provide an
alternative to existing SOC fractionation methods. To
illustrate our approach, we used a time series of
synthetically generated mineralization rates using the ROTHC
model. We adopted a Bayesian approach using the recently
developed DiffeRential Evolution Adaptive Metropolis (DREAM)
algorithm to infer probability density functions of the
various carbon pools at the start of incubation. The
Kullback-Leibler divergence was used to quantify the
information content of the mineralization rate data. Our
results indicate that measured mineralization rates
generally provided sufficient information to reliably
estimate all carbon pools in the ROTHC model. The incubation
time necessary to appropriately constrain all pools was
about 900 days. The use of prior information on microbial
biomass carbon significantly reduced the uncertainty of the
initial carbon pools, decreasing the required incubation
time to about 600 days. Simultaneous estimation of initial
carbon pools and decomposition rate constants significantly
increased the uncertainty of the carbon pools. This effect
was most pronounced for the intermediate and slow pools.
Altogether, our results demonstrate that it is particularly
difficult to derive reasonable estimates of the humified
organic matter pool and the inert organic matter pool from
inverse modelling of mineralization rates observed during
incubation experiments.},
keywords = {J (WoSType)},
cin = {ICG-4 / JARA-ENERGY},
ddc = {570},
cid = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Ecology / Geosciences, Multidisciplinary},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000274993900023},
doi = {10.5194/bg-7-763-2010},
url = {https://juser.fz-juelich.de/record/8985},
}