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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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Decision support for ecological river rehabilitation using fish habitat database.
Summary
This study developed a fish habitat database to guide river restoration projects in Korea. The database helps select key species and set ecological goals for effective aquatic ecosystem management.
Area of Science:
- Ecology
- Environmental Science
- Freshwater Biology
Background:
- River rehabilitation projects are increasing in Korea following successful examples.
- Current projects focus on aquatic ecosystem health but lack clear water quality and quantity management goals.
- There is a need for specific guidance in ecological river restoration planning.
Purpose of the Study:
- To construct a comprehensive habitat database for domestic freshwater fish species.
- To establish inhabitable and optimal ranges for 70 freshwater fish species.
- To develop a decision support system for ecological river restoration.
Main Methods:
- Investigated fish populations and habitat properties using field monitoring data.
- Collected physical and physicochemical data for 70 freshwater fish species.
- Statistically processed data to determine species-specific habitat ranges.
Main Results:
- Developed a habitat database (DB) for 70 domestic freshwater fish species.
- Suggested inhabitable and optimal habitat ranges for each species.
- Created and field-tested a decision support system for river rehabilitation.
Conclusions:
- The fish habitat DB-based decision support system is valuable for planning river restoration.
- It aids in selecting flagship species and setting appropriate restoration goals.
- The system helps optimize water resource allocation for ecological rehabilitation.

