Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model

Purpose: The CQESTR model is a process-based C model recently developed to simulate soil organic matter (SOM) dynamics and uses readily available or easily measurable input parameters. The current version of CQESTR (v. 2.0) has been validated successfully with a number of datasets from agricultural...

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Detalles Bibliográficos
Autores: Plaza de Carlos, César, Gollany, Hero T., Baldoni, Guido, Polo, Alfredo, Ciavatta, Claudio
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2012
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/330296
Acceso en línea:http://hdl.handle.net/10261/330296
https://digital.csic.es/handle/10261/236614
Access Level:acceso abierto
Palabra clave:C sequestration
Crop residue
Manure
Modeling
Organic amendment
Soil organic matter
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spelling Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR modelPlaza de Carlos, CésarGollany, Hero T.Baldoni, GuidoPolo, AlfredoCiavatta, ClaudioC sequestrationCrop residueManureModelingOrganic amendmentSoil organic matterPurpose: The CQESTR model is a process-based C model recently developed to simulate soil organic matter (SOM) dynamics and uses readily available or easily measurable input parameters. The current version of CQESTR (v. 2.0) has been validated successfully with a number of datasets from agricultural sites in North America but still needs to be tested in other geographic areas and soil types under diverse organic management systems. Materials and methods: We evaluated the predictive performance of CQESTR to simulate long-term (34 years) soil organic C (SOC) changes in a SOM-depleted European soil either unamended or amended with solid manure, liquid manure, or crop residue. Results and discussion: Measured SOC levels declined over the study period in the unamended soil, remained constant in the soil amended with crop residues, and tended to increase in the soils amended with manure, especially with solid manure. Linear regression analysis of measured SOC contents and CQESTR predictions resulted in a correlation coefficient of 0.626 (P < 0.001) and a slope and an intercept not significantly different from 1 and 0, respectively (95% confidence level). The mean squared deviation and root mean square error were relatively small. Simulated values fell within the 95% confidence interval of the measured SOC, and predicted errors were mainly associated with data scattering. Conclusions: The CQESTR model was shown to predict, with a reasonable degree of accuracy, the organic C dynamics in the soils examined. The CQESTR performance, however, could be improved by adding an additional parameter to differentiate between pre-decomposed organic amendments with varying degrees of stability. © 2012 Springer-Verlag (outside the USA).Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232012info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/330296https://digital.csic.es/handle/10261/236614reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1007/s11368-012-0477-1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3302962026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
title Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
spellingShingle Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
Plaza de Carlos, César
C sequestration
Crop residue
Manure
Modeling
Organic amendment
Soil organic matter
title_short Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
title_full Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
title_fullStr Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
title_full_unstemmed Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
title_sort Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model
dc.creator.none.fl_str_mv Plaza de Carlos, César
Gollany, Hero T.
Baldoni, Guido
Polo, Alfredo
Ciavatta, Claudio
author Plaza de Carlos, César
author_facet Plaza de Carlos, César
Gollany, Hero T.
Baldoni, Guido
Polo, Alfredo
Ciavatta, Claudio
author_role author
author2 Gollany, Hero T.
Baldoni, Guido
Polo, Alfredo
Ciavatta, Claudio
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv C sequestration
Crop residue
Manure
Modeling
Organic amendment
Soil organic matter
topic C sequestration
Crop residue
Manure
Modeling
Organic amendment
Soil organic matter
description Purpose: The CQESTR model is a process-based C model recently developed to simulate soil organic matter (SOM) dynamics and uses readily available or easily measurable input parameters. The current version of CQESTR (v. 2.0) has been validated successfully with a number of datasets from agricultural sites in North America but still needs to be tested in other geographic areas and soil types under diverse organic management systems. Materials and methods: We evaluated the predictive performance of CQESTR to simulate long-term (34 years) soil organic C (SOC) changes in a SOM-depleted European soil either unamended or amended with solid manure, liquid manure, or crop residue. Results and discussion: Measured SOC levels declined over the study period in the unamended soil, remained constant in the soil amended with crop residues, and tended to increase in the soils amended with manure, especially with solid manure. Linear regression analysis of measured SOC contents and CQESTR predictions resulted in a correlation coefficient of 0.626 (P < 0.001) and a slope and an intercept not significantly different from 1 and 0, respectively (95% confidence level). The mean squared deviation and root mean square error were relatively small. Simulated values fell within the 95% confidence interval of the measured SOC, and predicted errors were mainly associated with data scattering. Conclusions: The CQESTR model was shown to predict, with a reasonable degree of accuracy, the organic C dynamics in the soils examined. The CQESTR performance, however, could be improved by adding an additional parameter to differentiate between pre-decomposed organic amendments with varying degrees of stability. © 2012 Springer-Verlag (outside the USA).
publishDate 2012
dc.date.none.fl_str_mv 2012
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/330296
https://digital.csic.es/handle/10261/236614
url http://hdl.handle.net/10261/330296
https://digital.csic.es/handle/10261/236614
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1007/s11368-012-0477-1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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