Articles | Volume 12, issue 1
https://doi.org/10.5194/esd-12-211-2021
https://doi.org/10.5194/esd-12-211-2021
Research article
 | 
23 Feb 2021
Research article |  | 23 Feb 2021

How modelling paradigms affect simulated future land use change

Calum Brown, Ian Holman, and Mark Rounsevell

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Appel, F. and Balmann, A.: Human behaviour versus optimising agents and the resilience of farms – Insights from agent-based participatory experiments with FarmAgriPoliS, Ecol. Complex., 40, 100731, https://doi.org/10.1016/j.ecocom.2018.08.005, 2019. 
Arneth, A., Brown, C., and Rounsevell, M. D. A.: Global models of human decision-making for land-based mitigation and adaptation assessment, Nat. Clim. Change, 4, 550–557, https://doi.org/10.1038/nclimate2250, 2014. 
Audsley, E., Trnka, M., Sabaté, S., Maspons, J., Sanchez, A., Sandars, D., Balek, J., and Pearn, K.: Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation, Climatic Change, 128, 215–227, https://doi.org/10.1007/s10584-014-1164-6, 2015. 
Baldos, C. and Hertel, T. W.: Looking back to move forward on model validation: insights from a global model of agricultural land use Related content Climate adaptation as mitigation: the case of agricultural investments, Environ. Res. Lett., 8, 034024, https://doi.org/10.1088/1748-9326/8/3/034024, 2013. 
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Short summary
The variety of human and natural processes in the land system can be modelled in many different ways. However, little is known about how and why basic model assumptions affect model results. We compared two models that represent land use in completely distinct ways and found several results that differed greatly. We identify the main assumptions that caused these differences and therefore key issues that need to be addressed for more robust model development.
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