Computational Model Library

TERRoir level Organic matter Interactions and Recycling model (2.0.0)

The TERROIR computer model — TERRoir level Organic matter Interactions and Recycling model — was built to assess soil fertility management and the nutrient recycling efficiency of agro-sylvo-pastoral landscapes. It is a spatially-explicit ABM that represents the management of a typical West African agro-sylvo-pastoral landscape in space and over time.
The model focuses on the processes that create biomass flows and the related nutrient cycling. Here, it focuses on nitrogen (N) as a key limiting resource for both plant and animal production in West African agro-ecosystems.
The purpose of the model is to provide realistic estimations of the structure of N flows at different levels: land plot and herd, household and village. It is not intended to predict long term agro-ecosystem dynamics but rather to compare different agro-ecosystems, depending on input parameters concerning the structure of the landscape (proportion of land units, i.e. homogeneous part of the landscape in terms of land use and management practices) and crop-livestock systems diversity (linked to a typology of households).
The model can be further used to explore new improved agro-sylvo-pastoral landscapes.
It is coded with GAMA, a multi-agent simulation and spatially explicit modeling platform.

main_model_display_terroir_size_943x541_cycle_8_time_1492609151376.png

Release Notes

GAMA 1.8

In models, use gridbuilding to build your grid, change parameters and initialization in folder inputs and run the model through the “main” file.
This is a stabilized version of the Terroir model.

Associated Publications

Grillot M., Guerrin F., Gaudou B., Masse D., Vayssières J., 2018a. Multi-level analysis of nutrient cycling within agro-sylvo-pastoral landscapes in West Africa using an agent-based model. Environmental Modelling & Software 107, 267‑280. https://doi.org/10.1016/j.envsoft.2018.05.003

Grillot M., Vayssières J., Gaudou B., Bah A., 2016. An agent-based model to analyze the ecological functioning of agro-silvo-pastoral landscapes in West Africa, dans : iEMSs 8th: International Congress on Environmental Modelling and Software. Toulouse, France.

Grillot M., Vayssières J., Masse D., 2018b. Agent-based modelling as a time machine to assess nutrient cycling reorganization during past agrarian transitions in West Africa. Agricultural Systems 164, 133‑151. https://doi.org/10.1016/j.agsy.2018.04.008

TERRoir level Organic matter Interactions and Recycling model 2.0.0

The TERROIR computer model — TERRoir level Organic matter Interactions and Recycling model — was built to assess soil fertility management and the nutrient recycling efficiency of agro-sylvo-pastoral landscapes. It is a spatially-explicit ABM that represents the management of a typical West African agro-sylvo-pastoral landscape in space and over time.
The model focuses on the processes that create biomass flows and the related nutrient cycling. Here, it focuses on nitrogen (N) as a key limiting resource for both plant and animal production in West African agro-ecosystems.
The purpose of the model is to provide realistic estimations of the structure of N flows at different levels: land plot and herd, household and village. It is not intended to predict long term agro-ecosystem dynamics but rather to compare different agro-ecosystems, depending on input parameters concerning the structure of the landscape (proportion of land units, i.e. homogeneous part of the landscape in terms of land use and management practices) and crop-livestock systems diversity (linked to a typology of households).
The model can be further used to explore new improved agro-sylvo-pastoral landscapes.
It is coded with GAMA, a multi-agent simulation and spatially explicit modeling platform.

Release Notes

GAMA 1.8

In models, use gridbuilding to build your grid, change parameters and initialization in folder inputs and run the model through the “main” file.
This is a stabilized version of the Terroir model.

Version Submitter First published Last modified Status
2.0.0 Myriam Grillot Wed Jun 17 14:13:35 2020 Wed Jun 17 14:13:35 2020 Published
1.3.0 Myriam Grillot Fri Jun 15 07:08:47 2018 Fri Jun 15 07:08:48 2018 Published

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