Estimating soil particulate organic carbon through total soil organic carbon
Particulate soil organic carbon (POC) is sensitive to management changes, and a good soil health indicator. However, its determination is tedious and time consuming. Given POC changes represent most of total organic carbon (TOC) variation due to soil use, we hypothesized that POC can be estimated th...
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| Format: | Article |
| Language: | English |
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Asociación Argentina de la Ciencia del Suelo
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| Series: | Ciencia del Suelo |
| Online Access: | http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672014000100009&lng=en&tlng=en |
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| author | Natalia Veronica Diovisalvi Guillermo Alberto Studdert Nahuel Ignacio Reussi Calvo Germán Franco Dominguez Angel Berardo |
| author_facet | Natalia Veronica Diovisalvi Guillermo Alberto Studdert Nahuel Ignacio Reussi Calvo Germán Franco Dominguez Angel Berardo |
| author_sort | Natalia Veronica Diovisalvi |
| collection | DOAJ |
| description | Particulate soil organic carbon (POC) is sensitive to management changes, and a good soil health indicator. However, its determination is tedious and time consuming. Given POC changes represent most of total organic carbon (TOC) variation due to soil use, we hypothesized that POC can be estimated through the variation of TOC. Our objective was to evaluate changes of POC and TOC for a wide range of soil silt (Si) + clay (Cy) contents to assess the feasibility of estimating POC through TOC. Soil samples (n=161) were collected from the surface layer of fields under no tillage throughout the Argentinean Pampean Region, and their TOC and POC concentrations were determined. The variation of POC was described with ex-ponential models fitted as a function of both TOC and TOC/(Si+Cy). The models fitted adequately and estimated POC as a function of TOC (R²=0,96, observed vs estimated not different from the 1:1 line). No improvement was observed when POC and TOC contents were relativized to Si+Cy contents (R²=0,97). Approximately 74% of the estimated values of POC deviated less than ±10% from the observed values. We conclude that for the conditions studied, the model acceptably estimated POC knowing TOC hence saving time and resources to assess soil health status. |
| first_indexed | 2024-12-11T19:22:41Z |
| format | Article |
| id | doaj.art-e7dfc075170942dd80252a8174b7cb61 |
| institution | Directory Open Access Journal |
| issn | 0326-3169 1850-2067 |
| language | English |
| last_indexed | 2024-12-11T19:22:41Z |
| publisher | Asociación Argentina de la Ciencia del Suelo |
| record_format | Article |
| series | Ciencia del Suelo |
| spelling | doaj.art-e7dfc075170942dd80252a8174b7cb612022-12-22T00:53:29ZengAsociación Argentina de la Ciencia del SueloCiencia del Suelo0326-31691850-206732195104S1850-20672014000100009Estimating soil particulate organic carbon through total soil organic carbonNatalia Veronica DiovisalviGuillermo Alberto StuddertNahuel Ignacio Reussi CalvoGermán Franco DominguezAngel BerardoParticulate soil organic carbon (POC) is sensitive to management changes, and a good soil health indicator. However, its determination is tedious and time consuming. Given POC changes represent most of total organic carbon (TOC) variation due to soil use, we hypothesized that POC can be estimated through the variation of TOC. Our objective was to evaluate changes of POC and TOC for a wide range of soil silt (Si) + clay (Cy) contents to assess the feasibility of estimating POC through TOC. Soil samples (n=161) were collected from the surface layer of fields under no tillage throughout the Argentinean Pampean Region, and their TOC and POC concentrations were determined. The variation of POC was described with ex-ponential models fitted as a function of both TOC and TOC/(Si+Cy). The models fitted adequately and estimated POC as a function of TOC (R²=0,96, observed vs estimated not different from the 1:1 line). No improvement was observed when POC and TOC contents were relativized to Si+Cy contents (R²=0,97). Approximately 74% of the estimated values of POC deviated less than ±10% from the observed values. We conclude that for the conditions studied, the model acceptably estimated POC knowing TOC hence saving time and resources to assess soil health status.http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672014000100009&lng=en&tlng=en |
| spellingShingle | Natalia Veronica Diovisalvi Guillermo Alberto Studdert Nahuel Ignacio Reussi Calvo Germán Franco Dominguez Angel Berardo Estimating soil particulate organic carbon through total soil organic carbon Ciencia del Suelo |
| title | Estimating soil particulate organic carbon through total soil organic carbon |
| title_full | Estimating soil particulate organic carbon through total soil organic carbon |
| title_fullStr | Estimating soil particulate organic carbon through total soil organic carbon |
| title_full_unstemmed | Estimating soil particulate organic carbon through total soil organic carbon |
| title_short | Estimating soil particulate organic carbon through total soil organic carbon |
| title_sort | estimating soil particulate organic carbon through total soil organic carbon |
| url | http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-20672014000100009&lng=en&tlng=en |
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