| Date: |
2014 |
| Abstract: |
Land use change (LUC) is often a complex process. In such a process land use systems can show non-linear behaviours caused by mechanisms such as interactions between agents and feedbacks from higher system level. Land use systems might be very sensitive to such non-linearity, for instance in the form of tipping points, which lead them to a different land use regime. Many models deal with the causes and consequences of LUC but few focus on the non-linear process in land use systems. Thus there is a need for an explicit treatment of interactions and feedback mechanisms in LUC models to better understand the behaviour of land use systems. Two primary mechanisms are implemented with an agent-based model (ABM) to capture 1) the social interaction between land use decision makers (farmers) and 2) the positive feedback mechanism in agricultural production, with each applied to a case study showing how such mechanism can give rise to non-linear changes in land use systems. Due to a lack of focus on feedbacks in LUC-ABMs, we propose a framework to approach feedback mechanisms in land use systems in a structured way. |
| Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Language: |
Anglès |
| Document: |
Comunicació de congrés |
| Subject: |
Land use systems ;
Computational social science ;
Social simulation |
| Published in: |
Social Simulation Conference. Bellaterra, Cerdanyola del Vallès, 1a : 2014 |
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