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Structure of the P module and its interactions with the STICS soil-crop model.
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21 January 2025

By: Stics project team

New publication by Seghouani et al. 2025

Simulating phosphorus dynamics with Stics

The STICS team would like to wish you all the best for 2025, a year in which we will continue to use the STICS model to help you better understand and represent how our agricultural systems work, and contribute to building more sustainable agriculture

Modelling decomposition of crop residue mulches and the associated N2O emissions in a no-till system in southern Brazil

STICS - A generic soil crop model to support agro-ecosystem analysis, evaluation and design

What does STICS do?

Stics is a mechanistic model for simulating soil-plant-atmosphere functioning at plot level. It simulates crop growth on a daily basis, as well as water, carbon and nitrogen (and soon phosphorus!) balances, by integrating the effect of farming practices.

Thanks to its generic design, it can simulate a wide range of annual and perennial species, in association or in rotation, and can be used to predict the long-term effects of a wide range of cropping systems.

What is STICS used for?

STICS is used to assess the agri-environmental performance of cropping systems under the impact of practices, soil properties and climate, particularly in the context of climate change. It can be used to analyse a variety of agricultural systems (e.g. conventional, agro-ecological, organic, low-input, precision) in different production zones around the world, both temperate and tropical. It is a particularly effective tool for designing future agronomic solutions by taking complex processes into account.

Designed for plot scale, it can nevertheless be applied to large spatial scales, from small agricultural regions to continents. Its interoperability means that it can be coupled with different tools to complete the assessment (hydrological model or disease model, for example).

STICS: Who is developing it?

The model is being developed by an international community of scientists from different disciplines. It is open-source, free and collaborative software.