Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles

Abstract Carbon (C) input is a prerequisite for the formation of soil organic matter and thus for soil organic C (SOC) sequestration. Here we used the C-TOOL model to simulate SOC changes in a long-term field experiment (1932–2020) at Askov, Denmark, which involved four different levels of nutrients...

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Autores principales: Arezoo Taghizadeh-Toosi, Bent T. Christensen
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/fd7c3b5361b54958ad43034376faa42d
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spelling oai:doaj.org-article:fd7c3b5361b54958ad43034376faa42d2021-12-02T18:02:31ZFilling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles10.1038/s41598-021-97744-z2045-2322https://doaj.org/article/fd7c3b5361b54958ad43034376faa42d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97744-zhttps://doaj.org/toc/2045-2322Abstract Carbon (C) input is a prerequisite for the formation of soil organic matter and thus for soil organic C (SOC) sequestration. Here we used the C-TOOL model to simulate SOC changes in a long-term field experiment (1932–2020) at Askov, Denmark, which involved four different levels of nutrients added in mineral fertilizer (0, 0.5, 1, 1.5 NPK) and a four-crop rotation. The C input into soils consists of belowground and aboveground plant biomass and was estimated using allometric functions. The simulation showed that modelled SOC based on standard allometric functions of C input from crop residues did not adequately matched measured SOC contents. However, applying modified allometric functions based on current and the previously measured results for aboveground and belowground C inputs in winter wheat and grass clover in rotations provided much better match between simulated and measured SOC contents for fertilized treatments at normal and high level of fertilization. This improved indicators of C-TOOL model performance (e.g. yielding RMSE of 2.24 t C ha−1 and model efficiency of 0.73 in 1.5 NPK treatment). The results highlight that standard allometric functions greatly overestimates the amount of C in winter wheat stubble left after harvest in treatments dressed with NPK compared with modified functions. The results also highlight further needs for improvement of allometric functions used in simulation models for C-accounting in agroecosystems.Arezoo Taghizadeh-ToosiBent T. ChristensenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Arezoo Taghizadeh-Toosi
Bent T. Christensen
Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
description Abstract Carbon (C) input is a prerequisite for the formation of soil organic matter and thus for soil organic C (SOC) sequestration. Here we used the C-TOOL model to simulate SOC changes in a long-term field experiment (1932–2020) at Askov, Denmark, which involved four different levels of nutrients added in mineral fertilizer (0, 0.5, 1, 1.5 NPK) and a four-crop rotation. The C input into soils consists of belowground and aboveground plant biomass and was estimated using allometric functions. The simulation showed that modelled SOC based on standard allometric functions of C input from crop residues did not adequately matched measured SOC contents. However, applying modified allometric functions based on current and the previously measured results for aboveground and belowground C inputs in winter wheat and grass clover in rotations provided much better match between simulated and measured SOC contents for fertilized treatments at normal and high level of fertilization. This improved indicators of C-TOOL model performance (e.g. yielding RMSE of 2.24 t C ha−1 and model efficiency of 0.73 in 1.5 NPK treatment). The results highlight that standard allometric functions greatly overestimates the amount of C in winter wheat stubble left after harvest in treatments dressed with NPK compared with modified functions. The results also highlight further needs for improvement of allometric functions used in simulation models for C-accounting in agroecosystems.
format article
author Arezoo Taghizadeh-Toosi
Bent T. Christensen
author_facet Arezoo Taghizadeh-Toosi
Bent T. Christensen
author_sort Arezoo Taghizadeh-Toosi
title Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
title_short Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
title_full Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
title_fullStr Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
title_full_unstemmed Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
title_sort filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/fd7c3b5361b54958ad43034376faa42d
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