Information content of incubation experiments for inverse estimation of pools in the rothamsted carbon model: A bayesian perspective

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*Title:*	Main Title: Information content of incubation experiments for inverse estimation of pools in the rothamsted carbon model: A bayesian perspective
*Description:*	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.
*Identifier:*	10.5194/bg-7-763-2010 (DOI)

Responsible Party

*Creators:*	Benedikt Scharnagl (Author), Jasper A. Vrugt (Author), Harry Vereecken (Author), Michael Herbst (Author)
*Publisher:*	European Geosciences Union
*Publication Year:*	2013

Topic

*TR32 Topic:*	Soil
*Related Subproject:*	B1
*Subjects:*	Keywords: SOC, Inverse Parameter Estimation, Carbon Modelling

File Details

*Filename:*	2010_Scharnagl_Biogeosciences.pdf
*Data Type:*	Text - Article
*Size:*	14 Pages
*File Size:*	499 KB
*Dates:*	Accepted: 23.02.2010 Issued: 25.02.2010
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

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*Download Permission:*	Only Project Members
*General Access and Use Conditions:*	For internal use only
*Access Limitations:*	For internal use only
*Licence:*	[TR32DB] Data policy agreement

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*Publication Status:*	Published
*Review Status:*	Peer reviewed
*Publication Type:*	Article
*Article Type:*	Journal
*Source:*	Biogeosciences
*Source Website:*	www.biogeosciences.net
*Volume:*	7
*Number of Pages:*	14 (763 - 776)

Metadata Details

*Metadata Creator:*	Benedikt Scharnagl
*Metadata Created:*	02.12.2013
*Metadata Last Updated:*	02.12.2013
*Subproject:*	B1
*Funding Phase:*	1
*Metadata Language:*	English
*Metadata Version:*	V50

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