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Empirical Agent-Based Modelling - Challenges and Solutions pp 53–83Cite as

Human-Ecosystem Interaction in Large Ensemble-Models

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Abstract

Managing the effects of human activities on environmental assets must surely be one of the most vexing jobs imaginable. The nature of human interactions changes with social, economic, political and technological changes and management strategies are implicitly difficult to assess: as soon as one is in place, the baseline for comparison changes. Unfortunately with growing population and associated demands it is an issue that cannot be avoided.

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Notes

  1. 1.

    Recall that environmental data are represented as an agent rather than as an explicit data-element. This approach decouples the models from the details of the implementation, and allows us to replace simple forcing variables with dynamic, interacting models without altering the other models in the ensemble.

  2. 2.

    Observations from these meetings influenced all aspects of the models and what they contained. In some cases they were a major source of information (identified in the following sections), in other cases incidental observations helped identify missing or misrepresented components or sources of information that proved useful in detailing the components discussed below (to save space many of these are not detailed below).

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Authors and Affiliations

  1. The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia

    Randall Gray, Elizabeth A. Fulton & Richard Little

Authors
  1. Randall Gray
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  2. Elizabeth A. Fulton
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  3. Richard Little
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Corresponding author

Correspondence to Randall Gray .

Editor information

Editors and Affiliations

  1. CSIRO Ecosystem Sciences, Townsville, Queensland, Australia

    Alexander Smajgl

  2. Campus Agropolis 361, Montpellier Cedex 05, French S.Territ

    Olivier Barreteau

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Gray, R., Fulton, E., Little, R. (2014). Human-Ecosystem Interaction in Large Ensemble-Models. In: Smajgl, A., Barreteau, O. (eds) Empirical Agent-Based Modelling - Challenges and Solutions. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6134-0_4

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