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Study Design and Analysis for Monitoring River Restoration: Examples from Dam Removals

Study Design and Analysis for Monitoring River Restoration:
Examples from Dam Removals

 

Purpose

As more time, effort, and money are funneled into river restoration, we need standardized procedures and tools to evaluate success by monitoring and analyzing the physical, biological, and ecological responses. The purpose of this manual is to propose such procedures and tools with detailed examples drawn from 3 case study dam removals.

 

Left: Removal of the river right bays
of the Savage Rapids Dam on the
Rogue River near Grants Pass, OR

 

 

 

 

 

 

 

Contents of Study Design and Analysis for Monitoring River Restoration: Examples from Dam Removals

 

Download the entire document

Download the document in sections:

  • Front Cover and Table of Contents
  • Lists of Figures and Tables
  • Executive Summary
  • Introduction
  • Study Design and Analysis
    1. Study Objectives
    2. Conceptual Models
    3. Baseline Assessments
      1. Summary: Sediment Storage and Release
        1. Methods to estimate reservoir sediment volume
      2. Summary: Downstream Geomorphology
      3. Summary: Sensitivity of Downstream Habitat and Ecology
      4. Examples table
    4. Building Hypotheses
    5. Study Layout
    6. Metric Selection and Reliability
      1. Identifying Question Appropriate Metrics
      2. Reliability of Metrics
      3. Determining Sampling Size and Frequency
      4. Compatibility with Other Approaches
      5. Planning for Models and Analysis
      6. Table of Costs and Time Requirements for Typical Activities
    7. Table of Typical Methods with References
    8. Managing Data for the Long Term
    9. Analysis
      1. Table: Linking Study Design to Analysis
      2. Analysis Objectives
      3. Analysis Tools for Dam Removal
        1. Descriptive
        2. Graphical and Visualization/GIS
        3. Sediment Budgets
        4. Statistical
        5. Hydrodynamic, Sediment Transport, and Physical Modeling
        6. Estimating Observation Error
  • Conclusion

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