‘Can You Fix It?’ Using Variance-Based Sensitivity Analysis to Reduce the Input Space of an Agent-Based Model of Land Use Change

2017 ◽  
pp. 77-99 ◽  
Author(s):  
Arika Ligmann-Zielinska
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Land Use Change ◽  
Agent Based Model ◽  
Agent Based ◽  
Input Space

scholarly journals How model paradigms affect our representation of future land-use change

2020 ◽  
Author(s):  
Calum Brown ◽  
Ian Holman ◽  
Mark Rounsevell
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
System Development ◽  
Active Management ◽  
Integrated Modelling ◽  
Agent Based Model ◽  
Agent Based ◽  
Modelling Framework ◽  
Land Use Models ◽  
Landscape Scales

Abstract. Land use models operating at regional to global scales are almost exclusively based on the single paradigm of economic optimisation. Models based on different paradigms are known to produce very different results, but these are not always equivalent or attributable to particular assumptions. In this study, we compare two pan-European land use models that are based on the same integrated modelling framework and utilise the same climatic and socio-economic scenarios, but which adopt fundamentally different model paradigms. One of these is a constrained optimising economic-equilibrium model and the other is a stochastic agent-based model. We run both models for a range of scenario combinations and compare their projections of spatial and aggregate land use change and ecosystem service supply. We find that the agent-based model projects more multifunctional and heterogeneous landscapes in most scenarios, providing a wider range of ecosystem services at landscape scales, as agents make individual, time-dependent decisions that reflect economic and non-economic motivations. This tendency also results in food shortages under certain scenario conditions. The optimisation model, in contrast, maintains food supply through intensification of agricultural production in the most profitable areas, sometimes at the expense of active management in large, contiguous parts of Europe. We relate the principal differences observed to underlying model assumptions, and hypothesise that optimisation may be appropriate in scenarios that allow for coherent political and economic control of land systems, but not in scenarios where economic and other scenario conditions prevent the normal functioning of price signals and responses. In these circumstances, agent-based modelling allows explicit consideration of behavioural processes, but in doing so provides a highly flexible account of land system development that is harder to link to underlying assumptions. We suggest that structured comparisons of parallel, transparent but paradigmatically distinct models are an important method for better understanding the potential scope and uncertainties of future land use change.

scholarly journals Investigating Impacts of Alternative Crop Market Scenarios on Land Use Change with an Agent-Based Model

Land ◽  
2015 ◽  
Vol 4 (4) ◽  
pp. 1110-1137 ◽  
Author(s):  
Deng Ding ◽  
David Bennett ◽  
Silvia Secchi
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agent Based Model ◽  
Agent Based ◽  
Alternative Crop

scholarly journals Land-use change in oil palm dominated tropical landscapes—An agent-based model to explore ecological and socio-economic trade-offs

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0190506 ◽  
Author(s):  
Claudia Dislich ◽  
Elisabeth Hettig ◽  
Jan Salecker ◽  
Johannes Heinonen ◽  
Jann Lay ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Oil Palm ◽  
Agent Based Model ◽  
Agent Based ◽  
Trade Offs ◽  
Tropical Landscapes

scholarly journals Land use change on household farms in the Ecuadorian Amazon: Design and implementation of an agent-based model

2011 ◽  
Vol 31 (1) ◽  
pp. 210-222 ◽  
Author(s):  
Carlos F. Mena ◽  
Stephen J. Walsh ◽  
Brian G. Frizzelle ◽  
Yao Xiaozheng ◽  
George P. Malanson
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agent Based Model ◽  
Agent Based ◽  
Design And Implementation ◽  
Ecuadorian Amazon

An agent-based model of household dynamics and land use change

2008 ◽  
Vol 3 (1) ◽  
pp. 73-93 ◽  
Author(s):  
Barbara Entwisle ◽  
George Malanson ◽  
Ronald R. Rindfuss ◽  
Stephen J. Walsh
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agent Based Model ◽  
Agent Based ◽  
Household Dynamics
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