Skip to Main content Skip to Navigation
Journal articles

Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France

Abstract : Soil-crop models are increasingly used as predictive tools to assess yield and environmental impacts of agriculture in a growing diversity of contexts. They are however seldom evaluated at a given time over a wide domain of use. We tested here the performances of the STICS model (v8.2.2) with its standard set of parameters over a dataset covering 15 crops and a wide range of agropedoclimatic conditions in France. Model results showed a good overall accuracy, with little bias. Relative RMSE was larger for soil nitrate (49%) than for plant biomass (35%) and nitrogen (33%) and smallest for soil water (10%). Trends induced by contrasted environmental conditions and management practices were well reproduced. Finally, limited dependency of model errors on crops or environments indicated a satisfactory robustness. Such performances make STICS a valuable tool for studying the effects of changes in agro-ecosystems over the domain explored.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01132243
Contributor : Archive Ouverte Prodinra <>
Submitted on : Monday, March 16, 2015 - 8:01:41 PM
Last modification on : Wednesday, May 27, 2020 - 5:25:49 PM

Identifiers

Citation

Elsa Coucheney, Samuel Buis, Marie Launay, Julie Constantin, Bruno Mary, et al.. Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France. Environmental Modelling and Software, Elsevier, 2015, 64, pp.177-190. ⟨10.1016/j.envsoft.2014.11.024⟩. ⟨hal-01132243⟩

Share

Metrics

Record views

281