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The official R package of the FAO’s Global Livestock Environmental Assessment Model (GLEAM).
This package provides a modular implementation of GLEAM to quantify environmental impacts from livestock agrifood systems. The model simulates herd dynamics and quantifies key metrics, including animal-sourced food production, energy requirements and feed intake, nitrogen balance, and greenhouse gas emissions from enteric fermentation, manure management, and upstream feed production. The package also allocates estimated emissions to major animal products and services.
This package supports the sustainable transformation of livestock systems by enabling evidence-based decision-making through a transparent and reproducible modeling framework.
The official GLEAM workflow allows users to:
The model currently considers cattle, buffalo, camels, goats, pigs, and sheep.
To install the development version of the package:
# If devtools is not installed
install.packages("devtools")
# Install from GitHub
devtools::install_git("https://github.com/un-fao/GLEAM.git")We kindly ask users to inform us of your usage, as this helps us track the tool’s impact and guide future improvements. Please also get in touch with the GLEAM development team for documentation, internal guidance, or technical questions.
This package is licensed under the AGPL-3 license which permits free use, modification, and sharing of the software. Under AGPL-3.0, any modifications to the code must be made publicly available by creating a new branch on GitHub. The software cannot be relicensed under more restrictive terms without adhering to the AGPL-3.0 guidelines. Developers may anonymize or remove any sensitive or identifiable data (customizations) before resubmitting code.
The development of the GLEAM ecosystem was supported by the German Federal Ministry of Food, Agriculture, and Regional Identity BMELH.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.