TR32-Database: Database of Transregio 32

[1692] - Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Klosterhalfen, A., Herbst, M., Weihermüller, L., Graf, A., Schmidt, M., Stadler, A., Schneider, K., Subke, J., Huisman, J. A., Vereecken, H., 2017. Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands. Ecological Modelling, 363, 137 - 156. DOI: 10.1016/j.ecolmodel.2017.07.028.
Identification
Title(s):Main Title: Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands
Description(s):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(s):DOI: 10.1016/j.ecolmodel.2017.07.028
Responsible Party
Creator(s):Author: 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
Publisher:Elsevier
Topic
TR32 Topic:Vegetation
Related Sub-project(s):B1, B5, Z3, C3, B6
Subject(s):CRC/TR32 Keywords: Soil Respiration, Coupled Modeling, Carbon Modelling, Agriculture, CO2 Flux, NEE
Topic Category:Enviroment
File Details
File Name:2017_ecomod_klosterhalfen.pdf
Data Type:Text
Size(s):20 Pages
File Size:6309 kB (6.161 MB)
Date(s):Date Accepted: 2017-07-25
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:RurCatchment
Measurement Location:Juelicher Boerde
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2017
Type:Article
Article Type:Journal
Source:Ecological Modelling
Volume:363
Number Of Pages:20
Page Range:137 - 156
Metadata Details
Metadata Creator:Michael Herbst
Metadata Created:2017-09-14
Metadata Last Updated:2017-09-14
Subproject:B1
Funding Phase:3
Metadata Language:English
Metadata Version:V42
Dataset Metrics
Page Visits:10
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Features