Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison
Abstract Agroecosystem models need to reliably simulate all biophysical processes that control crop growth, particularly the soil water fluxes and nutrient dynamics. As a result of the erosion history, truncated and colluvial soil profiles coexist in arable fields. The erosion‐affected field‐scale s...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Vadose Zone Journal |
| Online Access: | https://doi.org/10.1002/vzj2.20058 |
| _version_ | 1818453150602887168 |
|---|---|
| author | Jannis Groh Efstathios Diamantopoulos Xiaohong Duan Frank Ewert Michael Herbst Maja Holbak Bahareh Kamali Kurt‐Christian Kersebaum Matthias Kuhnert Gunnar Lischeid Claas Nendel Eckart Priesack Jörg Steidl Michael Sommer Thomas Pütz Harry Vereecken Evelyn Wallor Tobias K.D. Weber Martin Wegehenkel Lutz Weihermüller Horst H. Gerke |
| author_facet | Jannis Groh Efstathios Diamantopoulos Xiaohong Duan Frank Ewert Michael Herbst Maja Holbak Bahareh Kamali Kurt‐Christian Kersebaum Matthias Kuhnert Gunnar Lischeid Claas Nendel Eckart Priesack Jörg Steidl Michael Sommer Thomas Pütz Harry Vereecken Evelyn Wallor Tobias K.D. Weber Martin Wegehenkel Lutz Weihermüller Horst H. Gerke |
| author_sort | Jannis Groh |
| collection | DOAJ |
| description | Abstract Agroecosystem models need to reliably simulate all biophysical processes that control crop growth, particularly the soil water fluxes and nutrient dynamics. As a result of the erosion history, truncated and colluvial soil profiles coexist in arable fields. The erosion‐affected field‐scale soil spatial heterogeneity may limit agroecosystem model predictions. The objective was to identify the variation in the importance of soil properties and soil profile modifications in agroecosystem models for both agronomic and environmental performance. Four lysimeters with different soil types were used that cover the range of soil variability in an erosion‐affected hummocky agricultural landscape. Twelve models were calibrated on crop phenological stages, and model performance was tested against observed grain yield, aboveground biomass, leaf area index, actual evapotranspiration, drainage, and soil water content. Despite considering identical input data, the predictive capability among models was highly diverse. Neither a single crop model nor the multi‐model mean was able to capture the observed differences between the four soil profiles in agronomic and environmental variables. The model's sensitivity to soil‐related parameters was apparently limited and dependent on model structure and parameterization. Information on phenology alone seemed insufficient to calibrate crop models. The results demonstrated model‐specific differences in the impact of soil variability and suggested that soil matters in predictive agroecosystem models. Soil processes need to receive greater attention in field‐scale agroecosystem modeling; high‐precision weighable lysimeters can provide valuable data for improving the description of soil–vegetation–atmosphere process in the tested models. |
| first_indexed | 2024-12-14T21:34:25Z |
| format | Article |
| id | doaj.art-37f52fd485ce4b8d83f87675b91b9995 |
| institution | Directory Open Access Journal |
| issn | 1539-1663 |
| language | English |
| last_indexed | 2024-12-14T21:34:25Z |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Vadose Zone Journal |
| spelling | doaj.art-37f52fd485ce4b8d83f87675b91b99952022-12-21T22:46:36ZengWileyVadose Zone Journal1539-16632020-01-01191n/an/a10.1002/vzj2.20058Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparisonJannis Groh0Efstathios Diamantopoulos1Xiaohong Duan2Frank Ewert3Michael Herbst4Maja Holbak5Bahareh Kamali6Kurt‐Christian Kersebaum7Matthias Kuhnert8Gunnar Lischeid9Claas Nendel10Eckart Priesack11Jörg Steidl12Michael Sommer13Thomas Pütz14Harry Vereecken15Evelyn Wallor16Tobias K.D. Weber17Martin Wegehenkel18Lutz Weihermüller19Horst H. Gerke20Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyDep. of Plant and Environmental Science Univ. of Copenhagen Copenhagen DenmarkHelmholtz Zentrum München‐German Research Center for Environmental Health Neuherberg GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyForschungszentrum Jülich Agrosphere Institute of Bio‐ and Geoscience IBG‐3 Jülich GermanyDep. of Plant and Environmental Science Univ. of Copenhagen Copenhagen DenmarkLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyInstitute of Biological and Environmental Science Univ. of Aberdeen Aberdeen UKLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyHelmholtz Zentrum München‐German Research Center for Environmental Health Neuherberg GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyForschungszentrum Jülich Agrosphere Institute of Bio‐ and Geoscience IBG‐3 Jülich GermanyForschungszentrum Jülich Agrosphere Institute of Bio‐ and Geoscience IBG‐3 Jülich GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyInstitute of Soil Science and Land Evaluation Univ. of Hohenheim Stuttgart GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyForschungszentrum Jülich Agrosphere Institute of Bio‐ and Geoscience IBG‐3 Jülich GermanyLeibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg GermanyAbstract Agroecosystem models need to reliably simulate all biophysical processes that control crop growth, particularly the soil water fluxes and nutrient dynamics. As a result of the erosion history, truncated and colluvial soil profiles coexist in arable fields. The erosion‐affected field‐scale soil spatial heterogeneity may limit agroecosystem model predictions. The objective was to identify the variation in the importance of soil properties and soil profile modifications in agroecosystem models for both agronomic and environmental performance. Four lysimeters with different soil types were used that cover the range of soil variability in an erosion‐affected hummocky agricultural landscape. Twelve models were calibrated on crop phenological stages, and model performance was tested against observed grain yield, aboveground biomass, leaf area index, actual evapotranspiration, drainage, and soil water content. Despite considering identical input data, the predictive capability among models was highly diverse. Neither a single crop model nor the multi‐model mean was able to capture the observed differences between the four soil profiles in agronomic and environmental variables. The model's sensitivity to soil‐related parameters was apparently limited and dependent on model structure and parameterization. Information on phenology alone seemed insufficient to calibrate crop models. The results demonstrated model‐specific differences in the impact of soil variability and suggested that soil matters in predictive agroecosystem models. Soil processes need to receive greater attention in field‐scale agroecosystem modeling; high‐precision weighable lysimeters can provide valuable data for improving the description of soil–vegetation–atmosphere process in the tested models.https://doi.org/10.1002/vzj2.20058 |
| spellingShingle | Jannis Groh Efstathios Diamantopoulos Xiaohong Duan Frank Ewert Michael Herbst Maja Holbak Bahareh Kamali Kurt‐Christian Kersebaum Matthias Kuhnert Gunnar Lischeid Claas Nendel Eckart Priesack Jörg Steidl Michael Sommer Thomas Pütz Harry Vereecken Evelyn Wallor Tobias K.D. Weber Martin Wegehenkel Lutz Weihermüller Horst H. Gerke Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison Vadose Zone Journal |
| title | Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison |
| title_full | Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison |
| title_fullStr | Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison |
| title_full_unstemmed | Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison |
| title_short | Crop growth and soil water fluxes at erosion‐affected arable sites: Using weighing lysimeter data for model intercomparison |
| title_sort | crop growth and soil water fluxes at erosion affected arable sites using weighing lysimeter data for model intercomparison |
| url | https://doi.org/10.1002/vzj2.20058 |
| work_keys_str_mv | AT jannisgroh cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT efstathiosdiamantopoulos cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT xiaohongduan cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT frankewert cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT michaelherbst cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT majaholbak cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT baharehkamali cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT kurtchristiankersebaum cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT matthiaskuhnert cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT gunnarlischeid cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT claasnendel cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT eckartpriesack cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT jorgsteidl cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT michaelsommer cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT thomasputz cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT harryvereecken cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT evelynwallor cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT tobiaskdweber cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT martinwegehenkel cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT lutzweihermuller cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison AT horsthgerke cropgrowthandsoilwaterfluxesaterosionaffectedarablesitesusingweighinglysimeterdataformodelintercomparison |