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dc.contributor.authorKlosterhalfen, Anneen_UK
dc.contributor.authorHerbst, Michaelen_UK
dc.contributor.authorWeihermüller, Lutzen_UK
dc.contributor.authorGraf, Alexanderen_UK
dc.contributor.authorSchmidt, Mariusen_UK
dc.contributor.authorStadler, Anjaen_UK
dc.contributor.authorSchneider, Karlen_UK
dc.contributor.authorSubke, Jens-Arneen_UK
dc.contributor.authorHuisman, Johan Alexanderen_UK
dc.contributor.authorVereecken, Harryen_UK
dc.description.abstractCroplands play an important role in the carbon budget of many regions. However, the estimation of their carbon balance remains difficult due to diversity and complexity of the processes involved. We report the coupling of a one-dimensional soil water, heat, and CO2 flux model (SOILCO2), a pool concept of soil carbon turnover (RothC), and a crop growth module (SUCROS) to predict the net ecosystem exchange (NEE) of carbon. The coupled model, further referred to as AgroC, was extended with routines for managed grassland as well as for root exudation and root decay. In a first step, the coupled model was applied to two winter wheat sites and one upland grassland site in Germany. The model was calibrated based on soil water content, soil temperature, biometric, and soil respiration measurements for each site, and validated in terms of hourly NEE measured with the eddy covariance technique. The overall model performance of AgroC was sufficient with a model efficiency above 0.78 and a correlation coefficient above 0.91 for NEE. In a second step, AgroC was optimized with eddy covariance NEE measurements to examine the effect of different objective functions, constraints, and data-transformations on estimated NEE. It was found that NEE showed a distinct sensitivity to the choice of objective function and the inclusion of soil respiration data in the optimization process. In particular, both positive and negative day‑ and nighttime fluxes were found to be sensitive to the selected optimization strategy. Additional consideration of soil respiration measurements improved the simulation of small positive fluxes remarkably. Even though the model performance of the selected optimization strategies did not diverge substantially, the resulting cumulative NEE over simulation time period differed substantially. Therefore, it is concluded that data-transformations, definitions of objective functions, and data sources have to be considered cautiously when a terrestrial ecosystem model is used to determine NEE by means of eddy covariance measurements.en_UK
dc.relationKlosterhalfen A, Herbst M, Weihermüller L, Graf A, Schmidt M, Stadler A, Schneider K, Subke J, Huisman JA & Vereecken H (2017) Multi-site Calibration and Validation of a Net Ecosystem Carbon Exchange Model for Croplands. Ecological Modelling, 363, pp. 137-156.
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Klosterhalfen A, Herbst M, Weihermüller L, Graf A, Schmidt M, Stadler A, Schneider K, Subke J, Huisman JA & Vereecken H (2017) Multi-site Calibration and Validation of a Net Ecosystem Carbon Exchange Model for Croplands, Ecological Modelling, 363, pp. 137-156. DOI: 10.1016/j.ecolmodel.2017.07.028 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectSoil respirationen_UK
dc.subjectCarbon balanceen_UK
dc.subjectWinter wheaten_UK
dc.titleMulti-site Calibration and Validation of a Net Ecosystem Carbon Exchange Model for Croplandsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[Manuscript_AgroC_Klosterhalfen-et-al_REVISION_clean_FINAL.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.citation.jtitleEcological Modellingen_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationFriedrich-Wilhelms Universityen_UK
dc.contributor.affiliationUniversity of Cologneen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
dc.contributor.affiliationForschungszentrum Julichen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorKlosterhalfen, Anne|en_UK
local.rioxx.authorHerbst, Michael|en_UK
local.rioxx.authorWeihermüller, Lutz|en_UK
local.rioxx.authorGraf, Alexander|en_UK
local.rioxx.authorSchmidt, Marius|en_UK
local.rioxx.authorStadler, Anja|en_UK
local.rioxx.authorSchneider, Karl|en_UK
local.rioxx.authorSubke, Jens-Arne|0000-0001-9244-639Xen_UK
local.rioxx.authorHuisman, Johan Alexander|en_UK
local.rioxx.authorVereecken, Harry|en_UK
local.rioxx.projectInternal Project|University of Stirling|
Appears in Collections:Biological and Environmental Sciences Journal Articles

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