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Multi-criteria decision analysis applied to harmful algal bloom management: A case study
Chengfang Pang1, Artur Radomyski1, Vrishali Subramanian1
1Dept of Environmental Sciences, Informatics and Statistics, University Ca' Foscari, Venice, Italy.
Integrated Environmental Assessment and Management
|December 16, 2016
Summary
Harmful algal blooms (HABs) are increasingly managed using Multi-Criteria Decision Analysis (MCDA) to balance mitigation efficiency, environmental impacts, costs, and stakeholder needs for healthier ecosystems.
Area of Science:
- Environmental Science
- Ecology
- Water Resource Management
Background:
- Harmful algal blooms (HABs) are increasing in frequency and severity, causing significant economic losses and ecosystem damage.
- Human activities like eutrophication and altered hydrology exacerbate HABs.
- Effective HAB mitigation requires balancing efficiency, environmental and social impacts, costs, and stakeholder priorities.
Purpose of the Study:
- To propose a Multi-Criteria Decision Analysis (MCDA) framework for HAB management.
- To analyze stakeholder perspectives on key HAB mitigation considerations.
- To demonstrate the application of MCDA in a hypothetical HAB-affected lake scenario.
Main Methods:
- Utilized a Multi-Criteria Decision Analysis (MCDA) framework.
- Incorporated four primary considerations: human health, environmental impact, social impact, and technical feasibility.
- Applied the framework to a case study of a lake experiencing HABs.
Main Results:
- The MCDA framework allows for systematic evaluation of different HAB management strategies.
- Stakeholder priorities can be quantitatively integrated into decision-making processes.
- The case study illustrates how diverse stakeholder values influence the selection of mitigation alternatives.
Conclusions:
- MCDA provides a structured approach to navigating complex HAB management decisions.
- Integrating stakeholder perspectives is crucial for successful and sustainable HAB mitigation.
- This framework aids in balancing competing interests for effective HAB control and ecosystem health.

