IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v78y2008i2p401-411.html
   My bibliography  Save this article

An agent-based modelling approach to evaluation of multiple-use management strategies for coastal marine ecosystems

Author

Listed:
  • McDonald, A.D.
  • Little, L.R.
  • Gray, R.
  • Fulton, E.
  • Sainsbury, K.J.
  • Lyne, V.D.

Abstract

The general objective of the multiple-use management strategy evaluation (MSE) framework is to develop and demonstrate practical science-based methods that support, under existing statutory arrangements, integrated regional planning and management of coastal and marine ecosystems. In the present paper multiple-use MSE is focused on four sectors: oil and gas, conservation, fisheries, and urban and industrial development. A selection of cross-sectoral development scenarios, management strategies and computer representations, provided by the relevant interest groups, is represented. These include prospective future sectoral activities and their impacts, and the sectoral response to alternative management policies and strategies. The agent-based modelling software InVitro is well placed for analysing prospective social and ecological impacts of multiple-use management strategies in a risk-assessment framework such as MSE. An illustrative example is provided to demonstrate the tradeoffs that can be recognised and quantified using the MSE framework. The example explores the implications of a change in management strategy that not only has a direct impact on the targeted sectors, but also indirect impacts, not all of which are to be expected.

Suggested Citation

  • McDonald, A.D. & Little, L.R. & Gray, R. & Fulton, E. & Sainsbury, K.J. & Lyne, V.D., 2008. "An agent-based modelling approach to evaluation of multiple-use management strategies for coastal marine ecosystems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 401-411.
    • Handle: RePEc:eee:matcom:v:78:y:2008:i:2:p:401-411
    DOI: 10.1016/j.matcom.2008.01.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475408000517
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2008.01.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jlenia Di Noia, 2022. "Agent-Based Models for Climate Change Adaptation in Coastal Zones. A Review," Working Papers 2022.20, Fondazione Eni Enrico Mattei.
    2. Di Noia, Jlenia, 2022. "Agent-Based Models for Climate Change Adaptation in Coastal Zones. A Review," FEEM Working Papers 322810, Fondazione Eni Enrico Mattei (FEEM).
    3. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    4. Atakelty Hailu & Lei Gao, 2012. "Research Note: Recreational Trip Timing and Duration Prediction," Tourism Economics, , vol. 18(1), pages 243-251, February.
    5. Perez, Liliana & Dragicevic, Suzana, 2012. "Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based cellular automata model," Ecological Modelling, Elsevier, vol. 231(C), pages 53-64.
    6. Cooper, Rachel & Jarre, Astrid, 2017. "An Agent-based Model of the South African Offshore Hake Trawl Industry: Part I Model Description and Validation," Ecological Economics, Elsevier, vol. 142(C), pages 268-281.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:78:y:2008:i:2:p:401-411. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.