Initializing the DSSAT-Century model: inverse calibration of carbon pools from apparent soil N mineralization

Autor: Soldevilla Martínez, María, Gabriel Pérez, José Luis, Lizaso Oñate, Jon Iñaqui, Quemada Saenz-Badillos, Miguel
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: The nitrogen challenge: building a blueprint for nitrogen use efficiency and food security | Proceedings of the 18th Nitrogen Workshop | 30/06/2014-03/07/2014 | Lisboa, Portugal
Archivo Digital UPM
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Popis: The CENTURY soil organic matter model was adapted for the DSSAT (Decision Support System for Agrotechnology Transfer), modular format in order to better simulate the dynamics of soil organic nutrient processes (Gijsman et al., 2002). The CENTURY model divides the soil organic carbon (SOC) into three hypothetical pools: microbial or active material (SOC1), intermediate (SOC2) and the largely inert and stable material (SOC3) (Jones et al., 2003). At the beginning of the simulation, CENTURY model needs a value of SOC3 per soil layer which can be estimated by the model (based on soil texture and management history) or given as an input. Then, the model assigns about 5% and 95% of the remaining SOC to SOC1 and SOC2, respectively. The model performance when simulating SOC and nitrogen (N) dynamics strongly depends on the initialization process. The common methods (e.g. Basso et al., 2011) to initialize SOC pools deal mostly with carbon (C) mineralization processes and less with N. Dynamics of SOM, SOC, and soil organic N are linked in the CENTURY-DSSAT model through the C/N ratio of decomposing material that determines either mineralization or immobilization of N (Gijsman et al., 2002). The aim of this study was to evaluate an alternative method to initialize the SOC pools in the DSSAT-CENTURY model from apparent soil N mineralization (Napmin) field measurements by using automatic inverse calibration (simulated annealing). The results were compared with the ones obtained by the iterative initialization procedure developed by Basso et al., 2011.
Databáze: OpenAIRE