Noah S. Adams, John W. Beeman, and John H. Eiler, editors
518 pages, index, hardcover
Published by the American Fisheries Society
Publication date: September 2012
Telemetry provides a powerful and flexible tool for studying fish and other aquatic animals, and its use has become increasingly commonplace. However, telemetry is gear intensive and typically requires more specialized knowledge and training than many other field techniques. As with other scientific methods, collecting good data is dependent on an understanding of the underlying principles behind the approach, knowing how to use the equipment and techniques properly, and recognizing what to do with the data collected.
This book provides a road map for using telemetry to study aquatic animals, and provides the basic information needed to plan, implement, and conduct a telemetry study under field conditions. Topics include acoustic or radio telemetry study design, tag implantation techniques, radio and acoustic telemetry principles and case studies, and data management and analysis.
Chapters are written by biologists, technicians, and engineers from the private, academic, and government sectors, with decades of experience using these technologies.
Introduction and Overview
Radio Telemetry-Principles and Practice
Radio Telemetry-Case Studies
6.1 Two Case Studies from Washington’s Olympic Peninsula: Radio Telemetry Reveals Bull Trout Anadromy and Establishes Baseline Information Prior to Dam Removal (Stephen C. Corbett and Samuel J. Brenkman)
Acoustic Telemetry-Principles and Practice
Acoustic Telemetry-Case Studies
8.1 Use of Acoustic Telemetry to Evaluate Survival and Behavior of Juvenile Salmonids at Hydroelectric Dams: a Case Study from Rocky Reach Dam, Columbia River, USA (Tracey Steig and Christopher Holbrook)
8.2 Considerations for Tagging and Tracking Fish in Tropical Coastal Habitats: Lessons from Bonefish, Barracuda, and Sharks Tagged with Acoustic Transmitters (Karen J. Murchie, Andy J. Danylchuk, Steven J. Cooke, Amanda C. O’Toole, Aaron Schultz, Chris Haak, Edward J. Brooks, and Cory D. Suski)
Data Management and Analysis