Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems
We evaluated the accuracy and precision of the CENTURY soil organic matter model for predicting soil organic carbon (SOC) sequestration under rainfed corn-based cropping systems in the US. This was achieved by inversely modeling long-term SOC data obtained from 10 experimental sites where corn, soyb...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/148579 |
| _version_ | 1855539238082183168 |
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| author | Kwon, Ho Young Ugarte, C. M. Ogle, Stephen M. Williams, Stephen A. Wander, Michelle M. |
| author_browse | Kwon, Ho Young Ogle, Stephen M. Ugarte, C. M. Wander, Michelle M. Williams, Stephen A. |
| author_facet | Kwon, Ho Young Ugarte, C. M. Ogle, Stephen M. Williams, Stephen A. Wander, Michelle M. |
| author_sort | Kwon, Ho Young |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We evaluated the accuracy and precision of the CENTURY soil organic matter model for predicting soil organic carbon (SOC) sequestration under rainfed corn-based cropping systems in the US. This was achieved by inversely modeling long-term SOC data obtained from 10 experimental sites where corn, soybean, or wheat were grown with a range of tillage, fertilization, and organic matter additions. Inverse modeling was accomplished using a surrogate model for CENTURY’s SOC dynamics sub-model wherein mass balance and decomposition kinetics equations from CENTURY are coded and solved by using a nonlinear regression routine of a standard statistical software package. With this approach we generated statistics of CENTURY parameters that are associated with the effects of N fertilization and organic amendment on SOC decay, which are not as well quantified as those of tillage, and initial status of SOC. The results showed that the fit between simulated and observed SOC prior to inverse modeling (R2 = 0.41) can be improved to R2 = 0.84 mainly by increasing the rate of SOC decay up to 1.5 fold for the year in which N fertilizer application rates are over 200 kg N ha-1. We also observed positive relationships between C inputs and the rate of SOC decay, indicating that the structure of CENTURY, and therefore model accuracy, could be improved by representing SOC decay as Michaelis-Menten kinetics rather than first-order kinetics. Finally, calibration of initial status of SOC against observed levels allowed us to account for site history, confirming that values should be adjusted to account for soil condition during model initialization. Future research should apply this inverse modeling approach to explore how C input rates and N abundance interact to alter SOC decay rates using C inputs made in various forms over a wider range of rates. |
| format | Journal Article |
| id | CGSpace148579 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1485792025-01-24T14:20:42Z Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems Kwon, Ho Young Ugarte, C. M. Ogle, Stephen M. Williams, Stephen A. Wander, Michelle M. models fertilizers inputs forecasting cropping systems soil organic matter fertilizer application yields ecosystems grain We evaluated the accuracy and precision of the CENTURY soil organic matter model for predicting soil organic carbon (SOC) sequestration under rainfed corn-based cropping systems in the US. This was achieved by inversely modeling long-term SOC data obtained from 10 experimental sites where corn, soybean, or wheat were grown with a range of tillage, fertilization, and organic matter additions. Inverse modeling was accomplished using a surrogate model for CENTURY’s SOC dynamics sub-model wherein mass balance and decomposition kinetics equations from CENTURY are coded and solved by using a nonlinear regression routine of a standard statistical software package. With this approach we generated statistics of CENTURY parameters that are associated with the effects of N fertilization and organic amendment on SOC decay, which are not as well quantified as those of tillage, and initial status of SOC. The results showed that the fit between simulated and observed SOC prior to inverse modeling (R2 = 0.41) can be improved to R2 = 0.84 mainly by increasing the rate of SOC decay up to 1.5 fold for the year in which N fertilizer application rates are over 200 kg N ha-1. We also observed positive relationships between C inputs and the rate of SOC decay, indicating that the structure of CENTURY, and therefore model accuracy, could be improved by representing SOC decay as Michaelis-Menten kinetics rather than first-order kinetics. Finally, calibration of initial status of SOC against observed levels allowed us to account for site history, confirming that values should be adjusted to account for soil condition during model initialization. Future research should apply this inverse modeling approach to explore how C input rates and N abundance interact to alter SOC decay rates using C inputs made in various forms over a wider range of rates. 2017 2024-06-21T09:25:06Z 2024-06-21T09:25:06Z Journal Article https://hdl.handle.net/10568/148579 en Open Access Public Library of Science Kwon, Ho Young; Ugarte, C.M.; Ogle, Stephen M.; Williams, Stephen A.; and Wander, Michelle M. 2017. Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems. PLoS One 12(2): e0172861. https://doi.org/10.1371/journal.pone.0172861 |
| spellingShingle | models fertilizers inputs forecasting cropping systems soil organic matter fertilizer application yields ecosystems grain Kwon, Ho Young Ugarte, C. M. Ogle, Stephen M. Williams, Stephen A. Wander, Michelle M. Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title | Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title_full | Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title_fullStr | Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title_full_unstemmed | Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title_short | Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems |
| title_sort | use of inverse modeling to evaluate century predictions for soil carbon sequestration in us rain fed corn production systems |
| topic | models fertilizers inputs forecasting cropping systems soil organic matter fertilizer application yields ecosystems grain |
| url | https://hdl.handle.net/10568/148579 |
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