Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-929-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-929-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
C-LLAMA 1.0: a traceable model for food, agriculture, and land use
School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Naomi E. Vaughan
School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, NR4 7TJ, UK
Thomas W. Powell
Global Systems Institute, University of Exeter, Exeter, EX4 4PY, UK
Andrew Lovett
School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Timothy M. Lenton
Global Systems Institute, University of Exeter, Exeter, EX4 4PY, UK
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Laura M. Pereira, Steven R. Smith, Lauren Gifford, Peter Newell, Sebastian Villasante, Therezah Achieng, Azucena Castro, Sara M. Constantino, Tom Powell, Ashish Ghadiali, Ben Smith, Coleen Vogel, and Caroline Zimm
Earth Syst. Dynam., 16, 1267–1285, https://doi.org/10.5194/esd-16-1267-2025, https://doi.org/10.5194/esd-16-1267-2025, 2025
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Earth system tipping points pose existential threats requiring urgent action. However, this imperative should neither increase risks nor perpetuate injustices. We argue that considerations of what needs to change, who is asked to change, and where the impacts will be felt and by whom are fundamental questions that need to be addressed in decision-making. Everyone has a role to play in ensuring that justice and equity are incorporated into actions towards a more sustainable future.
Ricarda Winkelmann, Donovan P. Dennis, Jonathan F. Donges, Sina Loriani, Ann Kristin Klose, Jesse F. Abrams, Jorge Alvarez-Solas, Torsten Albrecht, David Armstrong McKay, Sebastian Bathiany, Javier Blasco Navarro, Victor Brovkin, Eleanor Burke, Gokhan Danabasoglu, Reik V. Donner, Markus Drüke, Goran Georgievski, Heiko Goelzer, Anna B. Harper, Gabriele Hegerl, Marina Hirota, Aixue Hu, Laura C. Jackson, Colin Jones, Hyungjun Kim, Torben Koenigk, Peter Lawrence, Timothy M. Lenton, Hannah Liddy, José Licón-Saláiz, Maxence Menthon, Marisa Montoya, Jan Nitzbon, Sophie Nowicki, Bette Otto-Bliesner, Francesco Pausata, Stefan Rahmstorf, Karoline Ramin, Alexander Robinson, Johan Rockström, Anastasia Romanou, Boris Sakschewski, Christina Schädel, Steven Sherwood, Robin S. Smith, Norman J. Steinert, Didier Swingedouw, Matteo Willeit, Wilbert Weijer, Richard Wood, Klaus Wyser, and Shuting Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1899, https://doi.org/10.5194/egusphere-2025-1899, 2025
This preprint is open for discussion and under review for Earth System Dynamics (ESD).
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The Tipping Points Modelling Intercomparison Project (TIPMIP) is an international collaborative effort to systematically assess tipping point risks in the Earth system using state-of-the-art coupled and stand-alone domain models. TIPMIP will provide a first global atlas of potential tipping dynamics, respective critical thresholds and key uncertainties, generating an important building block towards a comprehensive scientific basis for policy- and decision-making.
Jakob Deutloff, Hermann Held, and Timothy M. Lenton
Earth Syst. Dynam., 16, 565–583, https://doi.org/10.5194/esd-16-565-2025, https://doi.org/10.5194/esd-16-565-2025, 2025
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We investigate the probabilities of triggering climate tipping points under various emission scenarios and how they are altered by additional carbon emissions from the tipping of the Amazon and permafrost. We find that there is a high risk for triggering climate tipping points under a scenario comparable to current policies. However, the additional warming and hence the additional risk of triggering other climate tipping points from the tipping of the Amazon and permafrost remain small.
Chris A. Boulton, Joshua E. Buxton, and Timothy M. Lenton
Earth Syst. Dynam., 16, 411–421, https://doi.org/10.5194/esd-16-411-2025, https://doi.org/10.5194/esd-16-411-2025, 2025
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Early warning signals used to detect tipping points are tested on a dataset of daily views of online electric vehicle (EV) adverts. The attention given to EV adverts spikes upwards after specific events before returning to normality more slowly over time. Alongside increases in autocorrelation and variance, these results are consistent with the movement towards a tipping point to an EV-dominated market, highlighting the ability of these signals to work in previously untested social systems.
Detlef van Vuuren, Brian O'Neill, Claudia Tebaldi, Louise Chini, Pierre Friedlingstein, Tomoko Hasegawa, Keywan Riahi, Benjamin Sanderson, Bala Govindasamy, Nico Bauer, Veronika Eyring, Cheikh Fall, Katja Frieler, Matthew Gidden, Laila Gohar, Andrew Jones, Andrew King, Reto Knutti, Elmar Kriegler, Peter Lawrence, Chris Lennard, Jason Lowe, Camila Mathison, Shahbaz Mehmood, Luciana Prado, Qiang Zhang, Steven Rose, Alexander Ruane, Carl-Friederich Schleussner, Roland Seferian, Jana Sillmann, Chris Smith, Anna Sörensson, Swapna Panickal, Kaoru Tachiiri, Naomi Vaughan, Saritha Vishwanathan, Tokuta Yokohata, and Tilo Ziehn
EGUsphere, https://doi.org/10.5194/egusphere-2024-3765, https://doi.org/10.5194/egusphere-2024-3765, 2025
Preprint archived
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We propose a set of six plausible 21st century emission scenarios, and their multi-century extensions, that will be used by the international community of climate modeling centers to produce the next generation of climate projections. These projections will support climate, impact and mitigation researchers, provide information to practitioners to address future risks from climate change, and contribute to policymakers’ considerations of the trade-offs among various levels of mitigation.
Mark S. Williamson and Timothy M. Lenton
Earth Syst. Dynam., 15, 1483–1508, https://doi.org/10.5194/esd-15-1483-2024, https://doi.org/10.5194/esd-15-1483-2024, 2024
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Climate models have transitioned to a superrotating atmospheric state under a broad range of warm climates. Such a transition would change global weather patterns should it occur. Here we simulate this transition using an idealized climate model and look for any early warnings of the superrotating state before it happens. We find several early warning indicators that we attribute to an oscillating pattern in the windfield fluctuations.
Sibel Eker, Timothy M. Lenton, Tom Powell, Jürgen Scheffran, Steven R. Smith, Deepthi Swamy, and Caroline Zimm
Earth Syst. Dynam., 15, 789–800, https://doi.org/10.5194/esd-15-789-2024, https://doi.org/10.5194/esd-15-789-2024, 2024
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Cascading effects through cross-system interactions are one of the biggest promises of positive tipping points to create rapid climate and sustainability action. Here, we review these in terms of their interactions with sociotechnical systems such as energy, transport, agriculture, society, and policy.
Antony Philip Emenyu, Thomas Pienkowski, Andrew M. Cunliffe, Timothy M. Lenton, and Tom Powell
EGUsphere, https://doi.org/10.5194/egusphere-2023-2531, https://doi.org/10.5194/egusphere-2023-2531, 2023
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This paper explores what processes could boost adoption rates for regenerative agriculture programs in Africa and draws on insights from successful rapid scaling of TIST in east Africa. Found that the cultivation of reinforcing feedback processes that strengthened the social capital around adoption and elimination of barriers to carbon accreditation for RA projects to be key success factors and possible opportunities new and ongoing RA programs to boost their adoption rates.
Stephen P. Hesselbo, Aisha Al-Suwaidi, Sarah J. Baker, Giorgia Ballabio, Claire M. Belcher, Andrew Bond, Ian Boomer, Remco Bos, Christian J. Bjerrum, Kara Bogus, Richard Boyle, James V. Browning, Alan R. Butcher, Daniel J. Condon, Philip Copestake, Stuart Daines, Christopher Dalby, Magret Damaschke, Susana E. Damborenea, Jean-Francois Deconinck, Alexander J. Dickson, Isabel M. Fendley, Calum P. Fox, Angela Fraguas, Joost Frieling, Thomas A. Gibson, Tianchen He, Kat Hickey, Linda A. Hinnov, Teuntje P. Hollaar, Chunju Huang, Alexander J. L. Hudson, Hugh C. Jenkyns, Erdem Idiz, Mengjie Jiang, Wout Krijgsman, Christoph Korte, Melanie J. Leng, Timothy M. Lenton, Katharina Leu, Crispin T. S. Little, Conall MacNiocaill, Miguel O. Manceñido, Tamsin A. Mather, Emanuela Mattioli, Kenneth G. Miller, Robert J. Newton, Kevin N. Page, József Pálfy, Gregory Pieńkowski, Richard J. Porter, Simon W. Poulton, Alberto C. Riccardi, James B. Riding, Ailsa Roper, Micha Ruhl, Ricardo L. Silva, Marisa S. Storm, Guillaume Suan, Dominika Szűcs, Nicolas Thibault, Alfred Uchman, James N. Stanley, Clemens V. Ullmann, Bas van de Schootbrugge, Madeleine L. Vickers, Sonja Wadas, Jessica H. Whiteside, Paul B. Wignall, Thomas Wonik, Weimu Xu, Christian Zeeden, and Ke Zhao
Sci. Dril., 32, 1–25, https://doi.org/10.5194/sd-32-1-2023, https://doi.org/10.5194/sd-32-1-2023, 2023
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We present initial results from a 650 m long core of Late Triasssic to Early Jurassic (190–202 Myr) sedimentary strata from the Cheshire Basin, UK, which is shown to be an exceptional record of Earth evolution for the time of break-up of the supercontinent Pangaea. Further work will determine periodic changes in depositional environments caused by solar system dynamics and used to reconstruct orbital history.
Mila Kim-Chau Fiona Ong, Fenna Blomsma, and Timothy Michael Lenton
EGUsphere, https://doi.org/10.5194/egusphere-2023-2361, https://doi.org/10.5194/egusphere-2023-2361, 2023
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We investigate the initially successful transition from regional bottle reuse for mineral water to a widespread bottle reuse system in Germany, its subsequent destabilisation, and what this teaches us about tipping dynamics in packaging systems. Our findings demonstrate opportunities to create an enabling environment for change, and the role of specific reinforcing feedback loops and interventions in accelerating or impeding sustainable transitions.
Taylor Smith, Ruxandra-Maria Zotta, Chris A. Boulton, Timothy M. Lenton, Wouter Dorigo, and Niklas Boers
Earth Syst. Dynam., 14, 173–183, https://doi.org/10.5194/esd-14-173-2023, https://doi.org/10.5194/esd-14-173-2023, 2023
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Multi-instrument records with varying signal-to-noise ratios are becoming increasingly common as legacy sensors are upgraded, and data sets are modernized. Induced changes in higher-order statistics such as the autocorrelation and variance are not always well captured by cross-calibration schemes. Here we investigate using synthetic examples how strong resulting biases can be and how they can be avoided in order to make reliable statements about changes in the resilience of a system.
Garry D. Hayman, Edward Comyn-Platt, Chris Huntingford, Anna B. Harper, Tom Powell, Peter M. Cox, William Collins, Christopher Webber, Jason Lowe, Stephen Sitch, Joanna I. House, Jonathan C. Doelman, Detlef P. van Vuuren, Sarah E. Chadburn, Eleanor Burke, and Nicola Gedney
Earth Syst. Dynam., 12, 513–544, https://doi.org/10.5194/esd-12-513-2021, https://doi.org/10.5194/esd-12-513-2021, 2021
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We model greenhouse gas emission scenarios consistent with limiting global warming to either 1.5 or 2 °C above pre-industrial levels. We quantify the effectiveness of methane emission control and land-based mitigation options regionally. Our results highlight the importance of reducing methane emissions for realistic emission pathways that meet the global warming targets. For land-based mitigation, growing bioenergy crops on existing agricultural land is preferable to replacing forests.
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.
Bijl, D. L., Bogaart, P. W., Dekker, S. C., Stehfest, E., de Vries, B. J. M., and van Vuuren, D. P.: A physically-based model of long-term food demand, Global Environ. Chang., 45, 47–62, https://doi.org/10.1016/j.gloenvcha.2017.04.003, 2017.
Bordonal, R. de O., Carvalho, J. L. N., Lal, R., de Figueiredo, E. B., de Oliveira, B. G., and La Scala, N.: Sustainability of sugarcane production in Brazil. A review, Agron. Sustain. Dev., 38, 13, https://doi.org/10.1007/s13593-018-0490-x, 2018.
Calvin, K., Wise, M., Clarke, L., Edmonds, J., Kyle, P., Luckow, P., and Thomson, A.: Implications of simultaneously mitigating and adapting to climate change: Initial experiments using GCAM, Climatic Change, 117, 545–560, https://doi.org/10.1007/s10584-012-0650-y, 2013.
Davis, K. F. and D'Odorico, P.: Livestock intensification and the influence of dietary change: A calorie-based assessment of competition for crop production, Sci. Total Environ., 538, 817–823, https://doi.org/10.1016/j.scitotenv.2015.08.126, 2015.
De Miranda, E. E. and Fonseca, M. F.: Chapter 4 – Sugarcane: Food production, energy, and environment, in: Sugarcane Biorefinery, Technology and Perspectives, Elsevier Inc., 67–88, ISBN: 978-0-12-814236-3, 2019.
Duro, J. A., Lauk, C., Kastner, T., Erb, K. H., and Haberl, H.: Global inequalities in food consumption, cropland demand and land-use efficiency: A decomposition analysis, Global Environ. Chang., 64, 102124, https://doi.org/10.1016/j.gloenvcha.2020.102124, 2020.
Eitelberg, D. A., van Vliet, J., and Verburg, P. H.: A review of global potentially available cropland estimates and their consequences for model-based assessments, Global Change Biol., 21, 1236–1248, https://doi.org/10.1111/gcb.12733, 2015.
Erb, K. H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C. D., Marín-Spiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., and Dolman, A. J.: Land management: data availability and process understanding for global change studies, Global Change Biol., 23, 512–533, https://doi.org/10.1111/gcb.13443, 2017.
FAOSTAT (Food and Agriculture Organization Corporate Statistical Database): https://doi.org/10.25504/FAIRsharing.z0rqUk, 2012.
FAOSTAT: Food and Agriculture Organization Corporate Statistical Database,
https://doi.org/10.25504/FAIRsharing.z0rqUk, 2012.
FAOSTAT: Crops and livestock products, FAOSTAT [data set], https://www.fao.org/faostat/en/#data/QCL (last access: 13 January 2022), 2021a.
FAOSTAT: Food Balances (-2013, old methodology and population), FAOSTAT [data set], available at: https://www.fao.org/faostat/en/#data/FBSH (last access: 13 January 2022), 2021b.
FAOSTAT: Inputs – Land Use, FAOSTAT [data set], available at: https://www.fao.org/faostat/en/#data/RL (last access: 13 January 2022), 2021c.
FAOSTAT: Agriculture – Total, FAOSTAT [data set], available at: https://www.fao.org/faostat/en/#data, last access: 13 January 2022.
Fricko, O., Havlik, P., Rogelj, J., Klimont, Z., Gusti, M., Johnson, N., Kolp, P., Strubegger, M., Valin, H., Amann, M., Ermolieva, T., Forsell, N., Herrero, M., Heyes, C., Kindermann, G., Krey, V., McCollum, D. L., Obersteiner, M., Pachauri, S., Rao, S., Schmid, E., Schoepp, W., and Riahi, K.: The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century, Global Environ. Chang., 42, 251–267, https://doi.org/10.1016/j.gloenvcha.2016.06.004, 2017.
Frieler, K., Schauberger, B., Arneth, A., Balkovič, J., Chryssanthacopoulos, J., Deryng, D., Elliott, J., Folberth, C., Khabarov, N., Müller, C., Olin, S., Pugh, T. A. M., Schaphoff, S., Schewe, J., Schmid, E., Warszawski, L., and Levermann, A.: Understanding the weather signal in national crop-yield variability, Earths Future, 5, 605–616, https://doi.org/10.1002/2016EF000525, 2017.
Fritz, S., See, L., Mccallum, I., You, L., Bun, A., Moltchanova, E., Duerauer, M., Albrecht, F., Schill, C., Perger, C., Havlik, P., Mosnier, A., Thornton, P., Wood-Sichra, U., Herrero, M., Becker-Reshef, I., Justice, C., Hansen, M., Gong, P., Abdel Aziz, S., Cipriani, A., Cumani, R., Cecchi, G., Conchedda, G., Ferreira, S., Gomez, A., Haffani, M., Kayitakire, F., Malanding, J., Mueller, R., Newby, T., Nonguierma, A., Olusegun, A., Ortner, S., Rajak, D. R., Rocha, J., Schepaschenko, D., Schepaschenko, M., Terekhov, A., Tiangwa, A., Vancutsem, C., Vintrou, E., Wenbin, W., van der Velde, M., Dunwoody, A., Kraxner, F., and Obersteiner, M.: Mapping global cropland and field size, Global Change Biol., 21, 1980–1992, https://doi.org/10.1111/gcb.12838, 2015.
Fujimori, S., Masui, T., and Matsuoka, Y.: AIM/CGE [basic] manual, Center for Social and Environmental Systems Research, NIES: Tsukuba, Japan, 2012.
Gough, C., Garcia-Freites, S., Jones, C., Mander, S., Moore, B., Pereira, C., Röder, M., Vaughan, N., and Welfle, A.: Challenges to the use of BECCS as a keystone technology in pursuit of 1.5 ∘C, Global Sustainability, 1, E5, https://doi.org/10.1017/sus.2018.3, 2018.
Gustavsson, J. and Cederberg, C.: Global Food losses and Food waste, in: Save Food Congress, Düsseldorf, Germany, 16 May 2011.
Haberl, H., Erb, K. H., Krausmann, F., Gaube, V., Bondeau, A., Plutzar, C., Gingrich, S., Lucht, W., and Fischer-Kowalski, M.: Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems, P. Natl. Acad. Sci. USA, 104, 12942–12947, https://doi.org/10.1073/pnas.0704243104, 2007.
Havlík, P., Valin, H., Herrero, M., Obersteiner, M., Schmid, E., Rufino, M. C., Mosnier, A., Thornton, P. K., Böttcher, H., Conant, R. T., Frank, S., Fritz, S., Fuss, S., Kraxner, F., and Notenbaert, A.: Climate change mitigation through livestock system transitions, P. Natl. Acad. Sci. USA, 111, 3709–3714, https://doi.org/10.1073/pnas.1308044111, 2014.
Herrero, M., Henderson, B., Havlík, P., Thornton, P. K., Conant, R. T., Smith, P., Wirsenius, S., Hristov, A. N., Gerber, P., Gill, M., Butterbach-Bahl, K., Valin, H., Garnett, T., and Stehfest, E.: Greenhouse gas mitigation potentials in the livestock sector, Nat. Clim. Chang., 6, 452–461, https://doi.org/10.1038/nclimate2925, 2016.
Holman, B. W. B. and Malau-Aduli, A. E. O.: Spirulina as a livestock supplement and animal feed, J. Anim. Physiol. An. N., 97, 615–623, https://doi.org/10.1111/j.1439-0396.2012.01328.x, 2013.
Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J., and Fischer, G.: Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands, Climatic Change, 109, 117–161, https://doi.org/10.1007/s10584-011-0153-2, 2011.
Iizumi, T., Furuya, J., Shen, Z., Kim, W., Okada, M., Fujimori, S., Hasegawa, T., and Nishimori, M.: Responses of crop yield growth to global temperature and socioeconomic changes, Sci. Rep., 7, 1–10, https://doi.org/10.1038/s41598-017-08214-4, 2017.
KC, S. and Lutz, W.: The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100, Global Environ. Chang., 42, 181–192, https://doi.org/10.1016/j.gloenvcha.2014.06.004, 2017.
Kearney, J.: Food consumption trends and drivers, Philos. T. Roy. Soc. B, 365, 2793–2807, https://doi.org/10.1098/rstb.2010.0149, 2010.
Kitinoja, L.: Use of cold chains for reducing food losses in developing countries, PEF White Pap., 6, 1–16, 2013.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World Map of the Köppen-Geiger climate classification updated, Meteorol. Z., 15, 259–263, https://doi.org/10.1127/0941-2948/2006/0130, 2006.
Krausmann, F., Erb, K. H., Gingrich, S., Lauk, C., and Haberl, H.: Global patterns of socioeconomic biomass flows in the year 2000: A comprehensive assessment of supply, consumption and constraints, Ecol. Econ., 65, 471–487, https://doi.org/10.1016/j.ecolecon.2007.07.012, 2008.
Lambin, E. F. and Meyfroidt, P.: Global land use change, economic globalization, and the looming land scarcity, P. Natl. Acad. Sci. USA, 108, 3465–3472, https://doi.org/10.1073/pnas.1100480108, 2011.
Lambin, E. F., Geist, H. J., and Lepers, E.: Dynamics of land-use and land-cover change in tropical regions, Annu. Rev. Env. Resour., 28, 205–241, https://doi.org/10.1146/annurev.energy.28.050302.105459, 2003.
Lipinski, B., Hanson, C., Lomax, J., Kitinoja, L., Waite, R., and Searchinger, T.: Reducing Food Loss and Waste, working paper, World Resources Institute, available at: https://www.wri.org/research/reducing-food-loss-and-waste (last access: 7 December 2021), 2013.
Liu, C., Hotta, Y., Santo, A., Hengesbaugh, M., Watabe, A., Totoki, Y., Allen, D., and Bengtsson, M.: Food waste in Japan: Trends, current practices and key challenges, J. Clean. Prod., 133, 557–564, https://doi.org/10.1016/j.jclepro.2016.06.026, 2016.
Mohanty, S. K. and Swain, M. R.: Chapter 3 – Bioethanol Production From Corn and Wheat: Food, Fuel, and Future, in: Bioethanol Production from Food Crops, Elsevier Inc., 45-59, ISBN: 978-0-12-813766-6, 2019.
Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., and Foley, J. A.: Closing yield gaps through nutrient and water management, Nature, 490, 254–257, https://doi.org/10.1038/nature11420, 2012.
Nicholls, Z. R. J., Meinshausen, M., Lewis, J., Gieseke, R., Dommenget, D., Dorheim, K., Fan, C.-S., Fuglestvedt, J. S., Gasser, T., Golüke, U., Goodwin, P., Hartin, C., Hope, A. P., Kriegler, E., Leach, N. J., Marchegiani, D., McBride, L. A., Quilcaille, Y., Rogelj, J., Salawitch, R. J., Samset, B. H., Sandstad, M., Shiklomanov, A. N., Skeie, R. B., Smith, C. J., Smith, S., Tanaka, K., Tsutsui, J., and Xie, Z.: Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response, Geosci. Model Dev., 13, 5175–5190, https://doi.org/10.5194/gmd-13-5175-2020, 2020.
Oerke, E. C. and Dehne, H. W.: Safeguarding production – Losses in major crops and the role of crop protection, Crop Prot., 23, 275–285, https://doi.org/10.1016/j.cropro.2003.10.001, 2004.
Oliveira Vieira, E., Venturoso, O. J., Reinicke, F., Cézar, C., Silva, D., Oliveira Porto, M., Cavali, J., Vieira, N. T., and Ferreira, E.: Production, Conservation and Health Assessment of Acid Silage Vicera of Freshwater Fish as a Component of Animal Feed, International Journal of Agriculture and Forestry, 5, 177–181, https://doi.org/10.5923/j.ijaf.20150503.01, 2015.
Parfitt, J., Barthel, M., and MacNaughton, S.: Food waste within food supply chains: Quantification and potential for change to 2050, Philos. T. R. Soc. B, 365, 3065–3081, https://doi.org/10.1098/rstb.2010.0126, 2010.
Pikaar, I., Matassa, S., Bodirsky, B. L., Weindl, I., Der, F. H., Rabaey, K., Boon, N., Bruschi, M., Yuan, Z., Van Zanten, H., Herrero, M., Verstraete, W., and Popp, A.: Decoupling Livestock from Land Use through Industrial Feed Production Pathways, Environ. Sci. Technol., 52, 7351–7359, https://doi.org/10.1021/acs.est.8b00216, 2018.
Popp, A., Rose, S. K., Calvin, K., Van Vuuren, D. P., Dietrich, J. P., Wise, M., Stehfest, E., Humpenöder, F., Kyle, P., Van Vliet, J., Bauer, N., Lotze-Campen, H., Klein, D., and Kriegler, E.: Land-use transition for bioenergy and climate stabilization: model comparison of drivers, impacts and interactions with other land use based mitigation options, Clim. Change, 123, 495–509, https://doi.org/10.1007/s10584-013-0926-x, 2014.
Popp, A., Calvin, K., Fujimori, S., Havlik, P.,
Humpenöder, F., Stehfest, E., Bodirsky, B. L., Dietrich, J. P.,
Doelmann, J. C., Gusti, M., Hasegawa, T., Kyle, P., Obersteiner, M.,
Tabeau, A., Takahashi, K., Valin, H., Waldhoff, S., Weindl, I.,
Wise, M., Kriegler, E., Lotze-Campen, H., Fricko, O., Riahi, K., and
Van Vuuren, D. P.: Land-use futures in the shared socio-economic pathways, Global Environ. Chang., 42, 331–345, https://doi.org/10.1016/j.gloenvcha.2016.10.002, 2017.
Powell, T.: Closing loops to rebalance the global carbon cycle: Biomass flows modelling of global agricultural carbon fluxes, PhD Thesis, Univ. Exet., 2015.
Powell, T. W. R. and Lenton, T. M.: Future carbon dioxide removal via biomass energy constrained by agricultural efficiency and dietary trends, Energy Environ. Sci., 5, 8116–8133, https://doi.org/10.1039/c2ee21592f, 2012.
Ray, D. K., Ramankutty, N., Mueller, N. D., West, P. C., and Foley, J. A.: Recent patterns of crop yield growth and stagnation, Nat. Commun., 3, 1293–1297, https://doi.org/10.1038/ncomms2296, 2012.
Ray, D. K., Gerber, J. S., Macdonald, G. K., and West, P. C.: Climate variation explains a third of global crop yield variability, Nat. Commun., 6, 1–9, https://doi.org/10.1038/ncomms6989, 2015.
Roe, S., Streck, C., Obersteiner, M., Frank, S., Griscom, B., Drouet, L., Fricko, O., Gusti, M., Harris, N., Hasegawa, T., Hausfather, Z., Havlík, P., House, J., Nabuurs, G., Popp, A., José, M., Sánchez, S., Sanderman, J., Smith, P., Stehfest, E., and Lawrence, D.: Contribution of the land sector to a 1.5 ∘C world, Nat. Clim. Chang., 9, 817–828, https://doi.org/10.1038/s41558-019-0591-9, 2019.
Rogelj, J., Shindell, D., Jiang, K., Fifita, S., Forster, P., Ginzburg, V., Handa, C., Kheshgi, H., Kobayashi, S., Kriegler, E., Mundaca, L., Séférian, R. and Vilariño, M. V.: Mitigation Pathways Compatible with 1.5°C in the Context of Sustainable Development, in: 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.
Röös, E., Bajželj, B., Smith, P., Patel, M., Little, D., and Garnett, T.: Greedy or needy? Land use and climate impacts of food in 2050 under different livestock futures, Global Environ. Chang., 47, 1–12, https://doi.org/10.1016/j.gloenvcha.2017.09.001, 2017.
Sarofim, M. C., Smith, J. B., St. Juliana, A., and Hartin, C.: Improving reduced complexity model assessment and usability, Nat. Clim. Chang., 11, 9–11, https://doi.org/10.1038/s41558-020-00973-9, 2021.
Savary, S., Ficke, A., Aubertot, J. N., and Hollier, C.: Crop losses due to diseases and their implications for global food production losses and food security, Food Secur., 4, 519–537, https://doi.org/10.1007/s12571-012-0200-5, 2012.
Shepon, A., Eshel, G., Noor, E., and Milo, R.: Energy and protein feed-to-food conversion efficiencies in the US and potential food security gains from dietary changes, Environ. Res. Lett., 11, 105002, https://doi.org/10.1088/1748-9326/11/10/105002, 2016.
Singh, I. D. and Stoskopf, N. C.: Harvest Index in Cereals1, Agron. J., 63, 224–226, https://doi.org/10.2134/agronj1971.00021962006300020008x, 1971.
Stancu, V., Haugaard, P., and Lähteenmäki, L.: Determinants of consumer food waste behaviour: Two routes to food waste, Appetite, 96, 7–17, https://doi.org/10.1016/j.appet.2015.08.025, 2016.
Swain, M., Blomqvist, L., McNamara, J., and Ripple, W. J.: Reducing the environmental impact of global diets, Sci. Total Environ., 610–611, 1207–1209, https://doi.org/10.1016/j.scitotenv.2017.08.125, 2018.
Willett, W., Rockström, J., Loken, B., et al.: Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems, The Lancet, 393, 10170, 447–492, https://doi.org/10.1016/S0140-6736(18)31788-4, 2019.
Thornton, P. K.: Livestock production: Recent trends, future prospects, Philos. T. R. Soc. B, 365, 2853–2867, https://doi.org/10.1098/rstb.2010.0134, 2010.
Tilman, D. and Clark, M.: Global diets link environmental sustainability and human health, Nature, 515, 518–522, https://doi.org/10.1038/nature13959, 2014.
Tsugane, S. and Sawada, N.: The JPHC study: Design and some findings on the typical Japanese diet, Jpn. J. Clin. Oncol., 44, 777–782, https://doi.org/10.1093/jjco/hyu096, 2014.
Tufarelli, V., Ragni, M., and Laudadio, V.: Feeding forage in poultry: A promising alternative for the future of production systems, Agriculture, 8, 1–10, https://doi.org/10.3390/agriculture8060081, 2018.
UNFCCC: Conference of the Parties, Adoption of the Paris Agreement, U.N. Doc. FCCC/CP/2015/L.9/Rev/1, available at: https://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf (last access: 7 December 2021), 2015.
United Nations Environment Programme: Food Waste Index – Report 2021, Report, ISBN: 978-92-807-3851-3, 2021.
Van Dyk, J. S., Gama, R., Morrison, D., Swart, S., and Pletschke, B. I.: Food processing waste: Problems, current management and prospects for utilisation of the lignocellulose component through enzyme synergistic degradation, Renew. Sust. Energ. Rev., 26, 521–531, https://doi.org/10.1016/j.rser.2013.06.016, 2013.
Van Rossum, G. and Drake Jr., F. L.: Python reference manual, Centrum voor Wiskunde en Informatica, Amsterdam, 1995.
Van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Clim. Change, 109, 5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011.
Van Zanten, H. H. E., Herrero, M., Van Hal, O., Röös, E., Muller, A., Garnett, T., Gerber, P. J., Schader, C., and De Boer, I. J. M.: Defining a land boundary for sustainable livestock consumption, Global Change Biol., 24, 4185–4194, https://doi.org/10.1111/gcb.14321, 2018.
Vaughan, N. E., Gough, C., Mander, S., Littleton, E. W., Welfle, A., Gernaat, D. E. H. J., and Van Vuuren, D. P.: Evaluating the use of biomass energy with carbon capture and storage in low emission scenarios, Environ. Res. Lett., 13, 044014, https://doi.org/10.1088/1748-9326/aaaa02, 2018.
Weindl, I., Popp, A., Bodirsky, B. L., Rolinski, S., Lotze-Campen, H., Biewald, A., Humpenöder, F., Dietrich, J. P., and Stevanović, M.: Livestock and human use of land: Productivity trends and dietary choices as drivers of future land and carbon dynamics, Global Planet. Change, 159, 1–10, https://doi.org/10.1016/j.gloplacha.2017.10.002, 2017.
Winkler, K., Fuchs, R., Rounsevell, M., and Herold, M.: Global land use changes are four times greater than previously estimated, Nat. Commun., 12, 1–10, https://doi.org/10.1038/s41467-021-22702-2, 2021.
Wirsenius, S., Azar, C., and Berndes, G.: How much land is needed for global food production under scenarios of dietary changes and livestock productivity increases in 2030?, Agr. Syst., 103, 621–638, https://doi.org/10.1016/j.agsy.2010.07.005, 2010.
World Bank: Worldwide Governance IndicatorsWorldwide Governance Indicators, available at: https://databank.worldbank.org/source/worldwide-governance-indicators/ (last access: 13 January 2022), 2020.
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.
C-LLAMA is a simple model of the global food system operating at a country level from 2013 to...