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  1. Home
  3. Managing Offshore Multi-use Settings: Use Of Conceptual Mapping To Reduce Uncertainty Of Co-locating Seaweed Aquaculture And Wind Farms.
  1. Home
  3. Managing Offshore Multi-use Settings: Use Of Conceptual Mapping To Reduce Uncertainty Of Co-locating Seaweed Aquaculture And Wind Farms.

Related Experiment Video

Watershed Planning within a Quantitative Scenario Analysis Framework
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Managing offshore multi-use settings: Use of conceptual mapping to reduce uncertainty of co-locating seaweed

Ryan O'Shea1, Elisa Capuzzo2, Victoria Hemming3

  • 1Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom; Centre for Environmental Policy, Imperial College London, South Kensington, London, SW7 2AZ, United Kingdom.

Journal of Environmental Management
|April 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Co-locating offshore wind farms and seaweed aquaculture for Multi-use Settings (MUS) presents both risks and benefits. This study highlights potential conflicts and enhanced ecological conditions, urging careful risk assessment for sustainable marine development.

Keywords:
Cognitive mappingDelphiImpact assessmentMulti-use settingSeaweed aquacultureWind farms

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Area of Science:

  • Marine spatial planning
  • Sustainable bioeconomy
  • Social-ecological systems

Background:

  • The Multi-use Setting (MUS) concept aims to co-locate marine industrial activities, like wind farms and aquaculture, to improve space and resource efficiency.
  • Uncertainty regarding the social, economic, and environmental impacts of MUS hinders its commercialization.

Purpose of the Study:

  • To assess the potential consequences of co-locating seaweed aquaculture and wind farms as a step towards MUS.
  • To identify potential social and environmental outcomes and inform decision-making for sustainable marine development.

Main Methods:

  • A hypothetical case study combined with a modified Delphi methodology.
  • Involved 14 subject matter experts to predict outcomes across social and environmental objectives.
  • Generated five cognitive maps and 58 impact tables detailing potential consequences.

    • Main Results:

    • Co-location may exacerbate existing pressures like species mortality and stakeholder conflict from wind farms.
    • Potential benefits include enhanced resource provisioning and habitat functionality due to seaweed aquaculture.
    • Cognitive maps revealed significant complexity, variability, and uncertainty in managing MUS implementation.

    Conclusions:

    • Findings provide a basis for further integrative assessment and modeling for MUS decision-making.
    • Recommends alternative strategies to mitigate financial trade-offs and risks associated with combined seaweed and wind farm projects.
    • The visual representation approach is valuable for other bioeconomy innovations and nature-based solutions, promoting risk-aware investments.