Same soil, different climate: Crop model intercomparison on translocated lysimeters

  1. Groh, Jannis
  2. Diamantopoulos, Efstathios
  3. Duan, Xiaohong
  4. Ewert, Frank
  5. Heinlein, Florian
  6. Herbst, Michael
  7. Holbak, Maja
  8. Kamali, Bahareh
  9. Kersebaum, Kurt-Christian
  10. Kuhnert, Matthias
  11. Nendel, Claas
  12. Priesack, Eckart
  13. Steidl, Jörg
  14. Sommer, Michael
  15. Pütz, Thomas
  16. Vanderborght, Jan
  17. Vereecken, Harry
  18. Wallor, Evelyn
  19. Weber, Tobias K. D.
  20. Wegehenkel, Martin
  21. Weihermüller, Lutz
  22. Gerke, Horst H.

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Vadose Zone Journal - 2022 - Groh - Same soil different climate Crop model intercomparison on translocated lysimeters.pdf 4,44MB
WeightNameValue
1000 Titel
  • Same soil, different climate: Crop model intercomparison on translocated lysimeters
1000 Autor/in
  1. Groh, Jannis |
  2. Diamantopoulos, Efstathios |
  3. Duan, Xiaohong |
  4. Ewert, Frank |
  5. Heinlein, Florian |
  6. Herbst, Michael |
  7. Holbak, Maja |
  8. Kamali, Bahareh |
  9. Kersebaum, Kurt-Christian |
  10. Kuhnert, Matthias |
  11. Nendel, Claas |
  12. Priesack, Eckart |
  13. Steidl, Jörg |
  14. Sommer, Michael |
  15. Pütz, Thomas |
  16. Vanderborght, Jan |
  17. Vereecken, Harry |
  18. Wallor, Evelyn |
  19. Weber, Tobias K. D. |
  20. Wegehenkel, Martin |
  21. Weihermüller, Lutz |
  22. Gerke, Horst H. |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-05-16
1000 Erschienen in
1000 Quellenangabe
  • 21(4):e20202
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/vzj2.20202 |
1000 Ergänzendes Material
  • https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20202#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014–2018) were from the Dedelow (Dd), Bad Lauchstädt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil–crop–climate interrelations in changing climatic conditions.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Helmholtz-Gemeinschaft |
  2. Bundesministerium für Bildung und Forschung |
  3. Ministry of Education, Youth and Sports of Czech Republic |
  4. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. -
  2. -
  3. CZ.02.1.01/0.0/0.0/16_019/000797
  4. 460817082
1000 Förderprogramm
  1. -
  2. -
  3. SustES—Adaption strategies for sustainable ecosystem services and food security under adverse environmental conditions
  4. -
1000 Dateien
  1. Same soil, different climate: Crop model intercomparison on translocated lysimeters
    Same soil, different climate: Crop model intercomparison on translocated lysimeters
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Helmholtz-Gemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Ministry of Education, Youth and Sports of Czech Republic |
    1000 Förderprogramm SustES—Adaption strategies for sustainable ecosystem services and food security under adverse environmental conditions
    1000 Fördernummer CZ.02.1.01/0.0/0.0/16_019/000797
  4. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer 460817082
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6435543.rdf
1000 Erstellt am 2022-10-17T12:41:16.460+0200
1000 Erstellt von 317
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