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Biblioteca Quantifying management-driven changes in organic matter turnover in an agricultural soil: An inverse modeling approach using historical data and a surrogate CENTURY-type model

Quantifying management-driven changes in organic matter turnover in an agricultural soil: An inverse modeling approach using historical data and a surrogate CENTURY-type model

Quantifying management-driven changes in organic matter turnover in an agricultural soil: An inverse modeling approach using historical data and a surrogate CENTURY-type model

Resource information

Date of publication
Diciembre 2010
Resource Language
ISBN / Resource ID
AGRIS:US201301903814
Pages
2241-2253

In order to facilitate inverse modeling of time-series data and/or parameter estimation for process-based models of soil organic carbon (SOC) dynamics, we developed and applied a new surrogate CENTURY SOC model (SCSOC). While SCSOC has mass balance and decomposition kinetics equations for residue and soil organic matter (SOM) pools identical to those of CENTURY, it differs by being: (1) decoupled from models of plant growth, nutrient cycling, and hydrologic processes; (2) capable of employing daily, monthly, or annual timesteps; (3) solvable using widely available non-linear regression software. Here, we describe SCSOC and demonstrate that its numerical solution to the CENTURY SOC equations is highly accurate for both daily and monthly timesteps, provided the monthly physical forcing function inputs are appropriately derived from daily-resolution hydrologic model results.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Kwon, Ho-Young
Hudson, Robert J.M.

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