Soil C models for evaluating the effect of cover crops

Excel implementation and dataset for three C cycling models:  Yasso20: monthly simulation version SOMIC 1.0: excel implementation with both simple time step and Euler-Heng iteration Single pool simulation model In addition input files for DNDC.Can.9.5.8 for one of the farms.  There are three version...

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1. Verfasser: Mattila, Tuomas
Format: Dataset
Sprache:eng
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Zusammenfassung:Excel implementation and dataset for three C cycling models:  Yasso20: monthly simulation version SOMIC 1.0: excel implementation with both simple time step and Euler-Heng iteration Single pool simulation model In addition input files for DNDC.Can.9.5.8 for one of the farms.  There are three versions of the SOMIC model: The Zip file contains the operational version of the files for the cover crop experiment example and an  _Euler-Heng version is an alternative version of the numerical simulation, which can be unstable (feel free to improve, do not use for simulation as such) The _MC version is a Monte Carlo uncertainty analysis implementation for one farm. (Using Simulacion 4.0 https://ucema.edu.ar/~jvarela/index_eng.htm)  The models are applied to an cover crop experiment, where four farms tested cover crops for 5 years. The corresponding article is submitted to Soil Use and Management. The C input estimation zip is used to translate recorded yield and cover crop NDVI data to time series of C inputs used for the models.  The Yasso20 model implementation is based on Yasso20 model code: https://github.com/YASSOmodel/Yasso20/tree/main The SOMIC model implementation is based on: https://github.com/domwoolf/somic1 The single pool model is as described in: https://doi.org/10.1016/j.still.2021.105204 The DNDC.Can model version can be downloaded from: https://github.com/BrianBGrant/DNDCv.CAN All the models are capable of simulating time series of soil C development over time, as influenced by C inputs, starting SOC and soil temperature and moisture. They are presented here for the purpose of further model development and comparison, not for making accurate forecasts.   
DOI:10.5281/zenodo.11121421