Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model intercomparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00539961" target="_blank" >RIV/86652079:_____/20:00539961 - isvavai.cz</a>
Result on the web
<a href="https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20058" target="_blank" >https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20058</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/vzj2.20058" target="_blank" >10.1002/vzj2.20058</a>
Alternative languages
Result language
angličtina
Original language name
Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model intercomparison
Original language description
Vadose Zone Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America 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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40104 - Soil science
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Vadose Zone Journal
ISSN
1539-1663
e-ISSN
1539-1663
Volume of the periodical
19
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
e20058
UT code for WoS article
000618773300053
EID of the result in the Scopus database
2-s2.0-85097269938