Literature DB >> 15246570

First principles of the MameLuke multi-actor modelling framework for land use change, illustrated with a Philippine case study.

Marco G A Huigen1.   

Abstract

This paper presents the first principles of the MameLuke framework, an agent-based modelling framework for studying environmental issues and land use and cover change (LUCC). The MameLuke framework enhances the understanding of the relationship between societal processes and LUCC by modelling individual and group decisions and human-environment interactions. The framework allows for the transformation of real-life stories into computerised models following a predetermined sequence. By doing so, the framework allows for a truly integrative approach, because it is not bound to any particular scientific discourse. Even better, the framework enables its users to combine scientific discourses regarding human decisions and behaviour on multiple scales and levels. The agents (actors and locations) in the framework are heterogeneous. This heterogeneity of agent behaviour is established by dividing the agents into categories. If an agent is a member of an agent category or combination of categories, it has access to a defined set of implementable actions. The actions are constructed out of potential option paths (POPs) and potential option nodes (PONs). The whole of POPs represent a theoretical construct of agent behaviour and decisions that the framework user wishes to explore. The POP defines a sequence of PONs. The PON is a transaction interface between an initialising agent and a recipient agent where they exchange material and immaterial capital. This paper explains the basic architecture of the MameLuke framework and shows its applicability with a model of a Philippine case study. This case study concerns the dynamics of migration and deforestation. It is part of a larger study on land use change in the San Mariano watershed area at the forest fringe of the Sierra Madre mountains in the Philippines.

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Year:  2004        PMID: 15246570     DOI: 10.1016/j.jenvman.2004.01.010

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

Review 1.  From actors to agents in socio-ecological systems models.

Authors:  M D A Rounsevell; D T Robinson; D Murray-Rust
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-01-19       Impact factor: 6.237

2.  Simulated village locations in Thailand: A multi-scale model including a neural network approach.

Authors:  Wenwu Tang; George P Malanson; Barbara Entwisle
Journal:  Landsc Ecol       Date:  2009-04-01       Impact factor: 3.848

3.  Based on a multi-agent system for multi-scale simulation and application of household's LUCC: a case study for Mengcha village, Mizhi county, Shaanxi province.

Authors:  Hai Chen; Xiaoying Liang; Rui Li
Journal:  Springerplus       Date:  2013-12-11
  3 in total

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