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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Climate-CAFE

STICS

Short description of the tool:

STICS is a soil-crop model which has been developed at INRA (Brisson et al. 1998; Brisson et al. 2002; Brisson et al. 2003; Brisson et al. 2008). It simulates the C, water and N balances of the soil-crop system and can simultaneously estimate agricultural and environmental variables (e.g. crop yield, N content of harvested organs, soil water and mineral N contents).

It was conceived as a generic model able to adapt easily to various kind of crops and environmental conditions. To do so, the specificity of each crop is defined using eco-physiological options (for example, photoperiod action and/or cold requirements on crop phenology) and plant (namely species and cultivar) specific parameters which are delivered with the model and can be used without further parameterization by users.

STICS has two other sets of parameters: a constant set of base parameters used for describing physical and biological processes occurring in the soil-crop system and a set of soil and crop management input parameters that are site specific and are the only ones that must be filled in by the users. Lastly, daily weather variables and the initial values for state variables must be provided to the model for each unit of simulation.

The latest version of the STICS model (v8.2.2) has recently included new developments to tackle emerging societal issues, such as the effect of CO2 concentration on radiation use efficiency or the parameters for energy crops. The effect of high temperatures was implemented since the beginning of model development, such as the simulation of nitrate pollution or N2O emissions (Bergez et al., 2014).

It is one of the tested soil-crop model in the international AgMIP project where 20 to 30 models were used for simulating production in various world countries under IPCC climatic scenarios. The STICS team participated in the work of model inter-comparison for the pilots working on crop production of wheat, rice and maize (Bassu et al. 2014; with colleagues of INRA co-authors) and uncertainties studies (Asseng et al. 2013; with colleagues of INRA co-authors), and also in the FACCE-MACSUR modelling work (publications under construction).