Model calibration for simulating soil organic carbon in long-term field experimnts in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F22%3A10175831" target="_blank" >RIV/00027006:_____/22:10175831 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Model calibration for simulating soil organic carbon in long-term field experimnts in the Czech Republic

Popis výsledku v původním jazyce

In recent years, exceeding efforts were directed to reducing greenhouse gas emissions stemming from agriculture. Carbon dioxide is one of the greenhouse gases which increases with improper soil and agricultural management. In the long-term, farmers can influence the amount of soil organic carbon (SOC) stored in the soil by moderating tillage practices or by employing post-harvest crop residues. The amount of SOC varies throughout the year, hence systematic, continual long-term monitoring is paramount for understanding the implications of different management practices (e.g., crop rotation, tillage, and fertilizer application dates and amounts) on soil physical properties, as well as for the ongoing mitigation and adaptation strategies. Process-oriented agroecosystem models represent an appropriate tool in this regard.Accordingly, the HERMES2Go model was employed and set-up with soil, weather, crop, and management data from three long-term field experiments (LTE) in the Czech Republic. All experiments were primarily focused on different fertilization practices. First and longest experiment (1961-2018) was established at Ruzyně (N: 50.09o; E: 14.30o, 345 m altitude, soil type: Orthic Luvisol). Next LTE with available data was at Hněvčeves (1979-2017, N: 50.31o; E: 15.71o, 265 m altitude, soil type: Luvisols). The last LTE employed by this study was at Trutnov (1965-2010, N: 50.56o; E: 15.89o, 417 m altitude, soil type: Cambisols).All locations have applied the same four fertilization treatments and similar tillage practices, but different crop types and crop rotations adapted to soil-climatic conditions. First fertilizer treatment was a control (untreated) variant without any fertilization. Second treatment was focused only on the use of organic fertilizer - farmyard manure. It was usually applied every three to four years, most often in the amount of 30-40 t/ha. Another treatment used only mineral fertilizers, of different compositions and quantities, according to the cultivated crops. Last treatment presumed a combination of manure and mineral fertilizers.The main objective of this study was to test the ability of HERMES2Go to simulate the implications of different fertilization treatments on SOC. The model primarily simulates soil-plant-atmosphere processes with a focus on nitrogen dynamics, and SOC is derived by assuming a constant C/N ratio. Prerequisite was calibrating the HERMES2Go model for crop phenology and biomass, then validation was performed against observed SOC. For the HERMES2Go model input data in percent was recalculated for organic carbon stocks in topsoil (Corg) and results from the model were transformed back to percentage using bulk density detected for each locality. Results confirm the ability of the HERMES2Go model to describe the SOC under different fertilization treatments with satisfying accuracy from calibrating solely against crop phenology and biomass and highlight its potential to estimate possible future developments of SOC for long-term simulations under similar conditions.

Název v anglickém jazyce

Model calibration for simulating soil organic carbon in long-term field experimnts in the Czech Republic

Popis výsledku anglicky

In recent years, exceeding efforts were directed to reducing greenhouse gas emissions stemming from agriculture. Carbon dioxide is one of the greenhouse gases which increases with improper soil and agricultural management. In the long-term, farmers can influence the amount of soil organic carbon (SOC) stored in the soil by moderating tillage practices or by employing post-harvest crop residues. The amount of SOC varies throughout the year, hence systematic, continual long-term monitoring is paramount for understanding the implications of different management practices (e.g., crop rotation, tillage, and fertilizer application dates and amounts) on soil physical properties, as well as for the ongoing mitigation and adaptation strategies. Process-oriented agroecosystem models represent an appropriate tool in this regard.Accordingly, the HERMES2Go model was employed and set-up with soil, weather, crop, and management data from three long-term field experiments (LTE) in the Czech Republic. All experiments were primarily focused on different fertilization practices. First and longest experiment (1961-2018) was established at Ruzyně (N: 50.09o; E: 14.30o, 345 m altitude, soil type: Orthic Luvisol). Next LTE with available data was at Hněvčeves (1979-2017, N: 50.31o; E: 15.71o, 265 m altitude, soil type: Luvisols). The last LTE employed by this study was at Trutnov (1965-2010, N: 50.56o; E: 15.89o, 417 m altitude, soil type: Cambisols).All locations have applied the same four fertilization treatments and similar tillage practices, but different crop types and crop rotations adapted to soil-climatic conditions. First fertilizer treatment was a control (untreated) variant without any fertilization. Second treatment was focused only on the use of organic fertilizer - farmyard manure. It was usually applied every three to four years, most often in the amount of 30-40 t/ha. Another treatment used only mineral fertilizers, of different compositions and quantities, according to the cultivated crops. Last treatment presumed a combination of manure and mineral fertilizers.The main objective of this study was to test the ability of HERMES2Go to simulate the implications of different fertilization treatments on SOC. The model primarily simulates soil-plant-atmosphere processes with a focus on nitrogen dynamics, and SOC is derived by assuming a constant C/N ratio. Prerequisite was calibrating the HERMES2Go model for crop phenology and biomass, then validation was performed against observed SOC. For the HERMES2Go model input data in percent was recalculated for organic carbon stocks in topsoil (Corg) and results from the model were transformed back to percentage using bulk density detected for each locality. Results confirm the ability of the HERMES2Go model to describe the SOC under different fertilization treatments with satisfying accuracy from calibrating solely against crop phenology and biomass and highlight its potential to estimate possible future developments of SOC for long-term simulations under similar conditions.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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