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dc.contributor.author
Koritschoner, Julius
dc.contributor.author
Giannini Kurina, Franca
dc.contributor.author
Hang, Susana
dc.contributor.author
Balzarini, Monica Graciela
dc.date.available
2023-08-28T11:20:45Z
dc.date.issued
2022-01-15
dc.identifier.citation
Koritschoner, Julius; Giannini Kurina, Franca; Hang, Susana; Balzarini, Monica Graciela; Site-specific modelling of short-term soil carbon mineralization in central Argentina; Elsevier Science; Geoderma; 406; 15-1-2022; 1-9
dc.identifier.issn
0016-7061
dc.identifier.uri
http://hdl.handle.net/11336/209468
dc.description.abstract
Soil organic carbon (SOC) mineralization is essential for nutrient cycling; however, it also increases carbon emission as CO2 to the atmosphere (CO2-C). Therefore, detailed information is required to design land use practices promoting positive C balances and soil health. Short-term SOC mineralization is sensitive to soil properties. Short-term soil C mineralization at a landscape scale has been poorly describe, despite the need to understand the variability of C dynamics among environments. The objectives of this work were to 1) estimate the parameters of short-term soil C mineralization kinetics in different locations within a region and 2) explore correlations among site-specific kinetic parameters and edaphoclimatic properties of sampled sites. The study involved 150 sites with different soil and climatic characteristics sampled from a 165,000 km2 area in central Argentina. CO2-C data were obtained from 28-day laboratory incubation experiments of the 150 soil samples. We tested three models (exponential, hyperbolic and power), which depend non-linearly on their parameters, to describe the population average cumulative CO2-C. Using nonlinear mixed models, we tested the significance of random site effects to explain variability in curve parameters among soils. Random forest was used to explain C mineralization parameters from edaphoclimatic properties. The best fit was provided by the power model with random effects on two parameters: initial C mineralization rate and mineralization rate coefficient. The results indicate heterogeneous C mineralization processes across central Argentina. The observed cumulative CO2-C after 28 days of soil incubation ranged between 250 and 1693 mg C kg−1 soil with an average of 826 mg C kg soil−1. Lower amounts of CO2-C (800 mg C kg−1 soil) are expected at 28 days of mineralization in sandy loam soils with lower organic matter than in rich loam soils (more than 1000 mg C kg−1 soil). A relational study explaining site-specific C mineralization from soil, climatic and management variables indicated a significantly higher short-term C mineralization in soils with high organic matter and soil chemical fertility, with soil properties being more important process drivers than climatic variables. Thus, short-term C mineralization kinetics can be predicted from soil properties at the large scale.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CO2 EMISSION
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NONLINEAR MIXED EFFECT MODELS
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SOIL FERTILITY
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SOIL ORGANIC MATTER DECOMPOSITION
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Ciencias del Suelo
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Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
dc.title
Site-specific modelling of short-term soil carbon mineralization in central Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-07T18:24:47Z
dc.journal.volume
406
dc.journal.pagination
1-9
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Koritschoner, Julius. Universidad Nacional de Cordoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Edafologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Villa María. Instituto Académico Pedagógico de Ciencias Básicas y Aplicadas; Argentina
dc.description.fil
Fil: Giannini Kurina, Franca. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatologia y Modelizacion Agricola. Grupo Vinculado Catedra de Estadistica y Biometria de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Cordoba Al Ufyma | Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Unidad de Fitopatologia y Modelizacion Agricola. Grupo Vinculado Catedra de Estadistica y Biometria de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Cordoba Al Ufyma.; Argentina
dc.description.fil
Fil: Hang, Susana. Universidad Nacional de Cordoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Edafologia; Argentina
dc.description.fil
Fil: Balzarini, Monica Graciela. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatologia y Modelizacion Agricola. Grupo Vinculado Catedra de Estadistica y Biometria de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Cordoba Al Ufyma | Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Unidad de Fitopatologia y Modelizacion Agricola. Grupo Vinculado Catedra de Estadistica y Biometria de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Cordoba Al Ufyma.; Argentina
dc.journal.title
Geoderma
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S001670612100567X
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.geoderma.2021.115487
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