Episode 1: Agent Based Modeling of Land Use Change
Channel: AIMES
Date: 2022-03-23

In the first episode of the AIMES Primer Series, Mark Rounsevell introduces land use modeling beginning with models based on classical economic theories. He then discusses an emerging class of models called agent based models, which can explore a broader range of human responses to environmental change including processes like societal learning, decision making, competition, and social networks. 

Explore the modeling framework:
https://landchange.imk-ifu.kit.edu/CRAFTY

Citations:
Winkler, K., Fuchs, R., Rounsevell, M. & Herold, M. (2021). Global land use changes are four times greater than previously estimated. Nature Communications, 12, 2501, 

von Thünen (1826). Der isolirte Staat in Beziehung auf Landwirtschaft und Nationalökonomie. Wirtschaft & Finan.

Brown, C., Holman, I. & Rounsevell, M.D.A. (2021). How modelling paradigms affect simulated future land-use change. Earth System Dynamics, 12, 211–231

Arneth, A., Rounsevell, M. & Brown, C. (2014). Global models of human decision-making for land-based mitigation and adaptation assessment. Nature Climate Change, 4, 550–557

Brown, C., Seo, B. & Rounsevell, M.D.A. (2019). Societal breakdown as an emergent property of large-scale behavioural models of land use change. Earth System Dynamics, 10, 809–845,

Blanco, V., Holzhauer, S., Brown, C., Lagergren, F., Vulturius, G., Lindeskog, M. & Rounsevell, M.D.A. (2017). The effect of forest owner decision-making, climatic change and societal demands on land-use change and ecosystem service provision in Sweden. Ecosystem Services, 23, 174–208
http://138.246.233.52:3838/CRAFTY_GB/

Brown, C., Holman, I. & Rounsevell, M.D.A. (2021). How modelling paradigms affect simulated future land-use change. Earth System Dynamics, 12, 211–231