FoodClim is a NetLogo model
for simulating and visualizing how food yield responds to different
climate conditions. It is designed to support empirically grounded
agent-based models on food systems and to improve the reproducibility of
simulations by enabling parallel
execution alongside other models.
The model runs in parallel with the
LogoClim model, which
provides climate data from WorldClim 2.1.
If you find this project useful, please consider giving it a star!
Refer to the LogoClim
installation guide for detailed steps on installing the required
dependencies.
Once LogoClim is installed, you can run the FoodClim model by
specifying the path to your LogoClim installation in the FoodClim
interface. This allows FoodClim to access climate data provided by
LogoClim during simulations.
Refer to the Info tab in the model for additional details.
FoodClim can be integrated with other models using the
LevelSpace (ls)
extension for NetLogo. LevelSpace enables parallel execution and
communication between multiple models. This approach supports more
comprehensive simulations and facilitates the study of complex
interactions between food systems and environmental processes.
If you use this model in your research, please cite it to acknowledge the effort invested in its development and maintenance. Your citation helps support the ongoing improvement of the model.
To cite FoodClim in publications please use the following format:
Vartanian, D., Garcia, L., & Carvalho, A. M. (2025). FoodClim: Simulating food yield responses to climate change in NetLogo [Computer software, NetLogo model]. https://doi.org/10.17605/OSF.IO/ZGVMP
A BibTeX entry for LaTeX users is:
@Misc{vartanian2025,
title = {FoodClim: Simulating food yield responses to climate change in NetLogo},
author = {{Daniel Vartanian} and {Leandro Garcia} and {Aline Martins de Carvalho}},
year = {2025},
doi = {https://doi.org/10.17605/OSF.IO/ZGVMP},
note = {NetLogo model}
}Contributions are welcome! Whether it's reporting bugs, suggesting features, or improving documentation, your input is valuable.
You can also support the development of FoodClim by becoming a
sponsor. Click here to make
a donation. Please mention FoodClim in your donation message.
FoodClim code is licensed under the MIT
License. This means you can use,
modify, and distribute the code freely, as long as you include the
original license and copyright notice in any copies or substantial
portions of the software.
We gratefully acknowledge the contributions of Stephen E. Fick, Robert J. Hijmans, and the entire WorldClim team for their dedication to creating and maintaining the WorldClim datasets. Their work has been instrumental in enabling researchers and practitioners to access high-quality climate data.
We also acknowledge the World Climate Research Programme (WCRP), which, through its Working Group on Coupled Modelling, coordinated and promoted the Coupled Model Intercomparison Project Phase 6 (CMIP6).
We thank the climate modeling groups for producing and sharing their model outputs, the Earth System Grid Federation (ESGF) for archiving and providing access to the data, and the many funding agencies that support CMIP6 and ESGF.
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This work was developed with support from the Research and Extension Center Sustentarea at the University of São Paulo (USP). |
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This work was supported by the Department of Science and Technology of the Secretariat of Science, Technology, and Innovation and of the Health Economic-Industrial Complex (SECTICS) of the Ministry of Health of Brazil, and the National Council for Scientific and Technological Development (CNPq) (grant no. 444588/2023-0) |