Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 929–949, 2022
https://doi.org/10.5194/gmd-15-929-2022
Geosci. Model Dev., 15, 929–949, 2022
https://doi.org/10.5194/gmd-15-929-2022
Model description paper
01 Feb 2022
Model description paper | 01 Feb 2022

C-LLAMA 1.0: a traceable model for food, agriculture, and land use

Thomas S. Ball et al.

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Cited articles

Alexander, P., Brown, C., Arneth, A., Finnigan, J., and Rounsevell, M. D. A.: Human appropriation of land for food: The role of diet, Global Environ. Chang., 41, 88–98, https://doi.org/10.1016/j.gloenvcha.2016.09.005, 2016. 
Alexander, P., Brown, C., Arneth, A., Finnigan, J., Moran, D., and Rounsevell, M. D. A.: Losses, inefficiencies and waste in the global food system, Agr. Syst., 153, 190–200, https://doi.org/10.1016/j.agsy.2017.01.014, 2017. 
Allen, M. R., Dube, O. P., Solecki, W., Aragón-Durand, F., Cramer, W., Humphreys, S., Kainuma, M., Kala, J., Mahowald, N., Mulugetta, Y., Perez, R., Wairiu, M., and Zickfeld, K.: Framing and Context. Global Warming of 1.5 C, in: IPCC Special Report on the impacts of global warming of 1.5 C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, IPCC, 2022. 
Arneth, A., Denton, F., Agus, F., Elbehri, A., Erb, K., Osman Elasha, B., Rahimi, M., Rounsevell, M., Spence, M., and Valentini, R.: Framing and Context. Climate Change and Land, in: IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, IPCC, 2022. 
Ball, T. S.: C-LLAMA v1.0: a traceable model for food, agriculture and land-use, Zenodo [code], https://doi.org/10.5281/zenodo.5083000, 2021. 
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Short summary
C-LLAMA is a simple model of the global food system operating at a country level from 2013 to 2050. The model begins with projections of diet composition and populations for each country, producing a demand for each food commodity and finally an agricultural land use in each country. The model can be used to explore the sensitivity of agricultural land use to various drivers within the food system at country, regional, and continental spatial aggregations.