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MIDAS: A Spatial Decision Support System for Monitoring Marine Management Areas

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Author Info

  • Hrishikesh Patel

    ()
    (Boston University, Boston, MA, USA)

  • Sucharita Gopal

    (Boston University, Boston, MA, USA)

  • Les Kaufman

    (Boston University, Boston, MA, USA)

  • Matt Carleton

    (Boston University, Boston, MA, USA)

  • Chris Holden

    (Boston University, Boston, MA, USA)

  • Valerie Pasquarella

    (Boston University, Boston, MA, USA)

  • Marta Ribera

    (Boston University, Boston, MA, USA)

  • Burton Shank

    (Boston University, Boston, MA, USA)

Registered author(s):

    Abstract

    This article describes the design and implementation of Marine Integrated Decision Analysis System (MIDAS), a spatial decision support system (SDSS). MIDAS allows users to select values for a set of governance, ecological and socioeconomic variables. Outcomes resulting from interactions between these variables are then modeled to demonstrate the effectiveness of management in marine managed areas (MMAs) in Belize, Panama, and other areas. MIDAS is written in Java SDK and Runtime Environment (JRE; version 6 update 5) that enables portability across computer platforms. The article describes the utility of MIDAS in three contexts: (1) to assist managers, policy makers, and various stakeholders in understanding the critical determining factors (CDFs) for MMA success, (2) to enhance multi-stakeholder analysis and promote consensus, and (3) to provide a free and intuitive interface with a capability to incorporate user valuations of factors affecting marine management and to generate reports and maps concerning risk. MIDAS has been tested and validated by a variety of users in three workshops.

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    Bibliographic Info

    Article provided by in its journal International Regional Science Review.

    Volume (Year): 34 (2011)
    Issue (Month): 2 (April)
    Pages: 191-214

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    Handle: RePEc:sae:inrsre:v:34:y:2011:i:2:p:191-214

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    Related research

    Keywords: environment; geographic information science; multiobjective and multicriteria analysis; natural resources; spatial decision support systems;

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