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Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443642/ https://www.ncbi.nlm.nih.gov/pubmed/34526561 http://dx.doi.org/10.1038/s41598-021-97744-z |
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author | Taghizadeh-Toosi, Arezoo Christensen, Bent T. |
author_facet | Taghizadeh-Toosi, Arezoo Christensen, Bent T. |
author_sort | Taghizadeh-Toosi, Arezoo |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8443642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84436422021-09-20 Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles Taghizadeh-Toosi, Arezoo Christensen, Bent T. Sci Rep Article 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. Nature Publishing Group UK 2021-09-15 /pmc/articles/PMC8443642/ /pubmed/34526561 http://dx.doi.org/10.1038/s41598-021-97744-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Taghizadeh-Toosi, Arezoo Christensen, Bent T. Filling gaps in models simulating carbon storage in agricultural soils: the role of cereal stubbles |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443642/ https://www.ncbi.nlm.nih.gov/pubmed/34526561 http://dx.doi.org/10.1038/s41598-021-97744-z |
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