Agent-Based Modelling and Landscape Change by James D.a. MillingtonAgent-Based Modelling and Landscape Change by James D.a. Millington

Agent-Based Modelling and Landscape Change

EditorJames D.a. Millington, John Wainwright

Hardcover | October 17, 2016

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The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This collection showcases innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. The diverse range of processes and landscapes that ABMs are currently used to examine is clearly demonstrated, including: land-use decision making in agricultural landscapes; soil erosion in semi-arid environments; forest change in mountainous landscapes; trade in 1st Century BC southern France; social adaptations of herders in northern Mongolia; and malaria epidemiology in Kenya. A range of agent-based representation is used from the implied presence of agents, through comparing heterogeneous vs. aggregated representation of human activity, to alternative means of parameterizing individual agent behaviour. The collection will be of interest to all interested in innovative agent-based modelling for understanding landscape change, its causes and consequences for sustainability in the Anthropocene.

Title:Agent-Based Modelling and Landscape ChangeFormat:HardcoverDimensions:326 pages, 9.61 × 6.69 × 1 inPublished:October 17, 2016Publisher:MDPI AGLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3038422800

ISBN - 13:9783038422808

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Table of Contents

1) Comparative Approaches for Innovation in Agent-Based Modelling of Landscape Change2) Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour3) Sensitivity Analysis of a Land-Use Change Model with and without Agents to Assess Land Abandonment and Long-Term Re-Forestation in a Swiss Mountain Region4) Investigating Impacts of Alternative Crop Market Scenarios on Land Use Change with an Agent-Based Model5) Why Don't More Farmers Go Organic? Using A Stakeholder-Informed Exploratory Agent-Based Model to Represent the Dynamics of Farming Practices in the Philippines6) An Approach for Simulating Soil Loss from an Agro-Ecosystem Using Multi-Agent Simulation: A Case Study for Semi-Arid Ghana7) How to Make a Barranco: Modeling Erosion and Land-Use in Mediterranean Landscapes8) Examining Social Adaptations in a Volatile Landscape in Northern Mongolia via the Agent-Based Model Ger Grouper9) Simulating Littoral Trade: Modeling the Trade of Wine in the Bronze to Iron Age Transition in Southern France10) Landscape Epidemiology Modeling Using an Agent-Based Model and a Geographic Information System