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Science Based Modelling for Supporting Integrated Coastal Zone Management

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Environmental Modeling with Stakeholders

Abstract

The Integrated Coastal Zone Management (ICZM) reflects a more dynamic, multi-disciplinary, decentralized and integrated approach to managing coastal areas and small islands. Meanwhile science-based modelling provides various tools for identifying, describing, as well as constructing policy intervention on managing dynamic environments such as coastal environment. Despite the advantages and disadvantages of modeling in addressing the dynamic complexities of coastal environments, we need to integrate some tools of science-based modelling to assist policy makers and managers to figure out the environmental behaviors as well as to set up policy scenarios for managing coastal areas. Further research and applications are needed to optimize the capabilities of modeling and simulation tools in supporting the ICZM.

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Authors and Affiliations

  1. Directorate General of Marine and Fisheries Resources Surveillance, The Ministry of Marine Affairs and Fisheries of the Republic of Indonesia, Jakarta, Indonesia

    Purwono Budi Santoso

  2. School of Geography, Planning, and Environmental Management (GPEM), The University of Queensland, Brisbane, QLD, Australia

    Anthony Halog

Authors
  1. Purwono Budi Santoso
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  2. Anthony Halog
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Correspondence to Anthony Halog .

Editor information

Editors and Affiliations

  1. Department of Community Sustainability, Michigan State University, East Lansing, Michigan, USA

    Steven Gray

  2. Department of Anthropology, University of Maryland, College Park, Maryland, USA

    Michael Paolisso

  3. Department of Human Ecology, Rutgers University, New Brunswick, New Jersey, USA

    Rebecca Jordan

  4. Parliamentary Commissioner for the Environment, Wellington, New Zealand

    Stefan Gray

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Santoso, P.B., Halog, A. (2017). Science Based Modelling for Supporting Integrated Coastal Zone Management. In: Gray, S., Paolisso, M., Jordan, R., Gray, S. (eds) Environmental Modeling with Stakeholders. Springer, Cham. https://doi.org/10.1007/978-3-319-25053-3_15

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