作者: Fabien Ferchaud , Paul Belleville , Frédéric Bornet , Jérôme Duval , Frida Keuper
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摘要: English. Soil-crop models can be used as predictive tools to evaluate the agronomic and environmental performances of cropping systems. STICS has been shown to simulate the biomass and nitrogen (N) of crops as well as the water and nitrate content of the soil, with a good accuracy, at an annual scale over a wide range of agro-environmental conditions (Coucheney et al., 2015). However, long-term evaluations including soil organic matter dynamics have been achieved only in a limited number of situations (eg Autret et al., 2020). This study aimed to assess the STICS model ability to simulate long-term water, N and carbon (C) dynamics for contrasted agricultural management practices.