Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands

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Title:Main Title: Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands
Description:Abstract: tCroplands play an important role in the carbon budget of many regions. However, the estimation of theircarbon balance remains difficult due to diversity and complexity of the processes involved. We report the coupling of a one-dimensional soil water, heat, and CO2flux model (SOILCO2), a pool concept of soilcarbon 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 managedgrassland 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 soilwater 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 performanceof AgroC was sufficient with a model efficiency above 0.78 and a correlation coefficient above 0.91 forNEE. In a second step, AgroC was optimized with eddy covariance NEE measurements to examine theeffect 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 soilrespiration 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 soilrespiration measurements improved the simulation of small positive fluxes remarkably. Even though the model performance of the selected optimization strategies did not diverge substantially, the resultingcumulative 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 cautiouslywhen a terrestrial ecosystem model is used to determine NEE by means of eddy covariance measurements.
Identifier:10.1016/j.ecolmodel.2017.07.028 (DOI)
Responsible Party
Creators:Anne Klosterhalfen (Author), Michael Herbst (Author), Lutz Weihermüller (Author), Alexander Graf (Author), Marius Schmidt (Author), Anja Stadler (Author), Karl Schneider (Author), Jens-Arne Subke (Author), Johan A. Huisman (Author), Harry Vereecken (Author)
Publisher:Elsevier
Publication Year:2017
Topic
TR32 Topic:Vegetation
Related Subprojects:B1, B5, Z3, C3, B6
Subjects:Keywords: Soil Respiration, Coupled Modeling, Carbon Modelling, Agriculture, CO2 Flux, NEE
Geogr. Information Topic:Environment
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Filename:2017_ecomod_klosterhalfen.pdf
Data Type:Text - Article
Size:20 Pages
File Size:6.2 MB
Date:Accepted: 25.07.2017
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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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Ecological Modelling
Source Website:https://www.journals.elsevier.com/ecological-modelling
Volume:363
Number of Pages:20 (137 - 156)
Metadata Details
Metadata Creator:Michael Herbst
Metadata Created:14.09.2017
Metadata Last Updated:14.09.2017
Subproject:B1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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