Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model intercomparison

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model intercomparison

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model intercomparison

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Vadose Zone Journal

ISSN

1539-1663

e-ISSN

1539-1663

Svazek periodika

19

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

e20058

Kód UT WoS článku

000618773300053

EID výsledku v databázi Scopus

2-s2.0-85097269938