Conducting and interpreting fish telemetry studies: considerations for researchers and resource managers

Brownscombe, Jacob W., Lédée, Elodie J.I., Raby, Graham D., Struthers, Daniel P., Gutowsky, Lee F.G., Nguyen, Vivian M., Young, Nathan, Stokesbury, Michael J.W., Holbrook, Christopher M., Brenden, Travis O., Vandergoot, Christopher S., Murchie, Karen J., Whoriskey, Kim, Flemming, Joanna Mills, Kessel, Steven T., Krueger, Charles C., and Cooke, Steven J. (2019) Conducting and interpreting fish telemetry studies: considerations for researchers and resource managers. Reviews in Fish Biology and Fisheries, 29. pp. 369-400.

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Telemetry is an increasingly common tool for studying the ecology of wild fish, with great potential to provide valuable information for management and conservation. For researchers to conduct a robust telemetry study, many essential considerations exist related to selecting the appropriate tag type, fish capture and tagging methods, tracking protocol, data processing and analyses, and interpretation of findings. For telemetry-derived knowledge to be relevant to managers and policy makers, the research approach must consider management information needs for decision-making, while end users require an understanding of telemetry technology (capabilities and limitations), its application to fisheries research and monitoring (study design), and proper interpretation of results and conclusions (considering the potential for biases and proper recognition of associated uncertainties). To help bridge this gap, we provide a set of considerations and a checklist for researchers to guide them in conducting reliable and management-relevant telemetry studies, and for managers to evaluate the reliability and relevance of telemetry studies so as to better integrate findings into management plans. These considerations include implicit assumptions, technical limitations, ethical and biological realities, analytical merits, and the relevance of study findings to decision-making processes.

Item ID: 44667
Item Type: Article (Research - C1)
ISSN: 1573-5184
Keywords: fishery management, biotelemetry, conservation, uncertainty, data interpretation
Copyright Information: © Springer Nature Switzerland AG 2019.
Funders: Great Lakes Fishery Commission (GLFC), Great Lakes Restoration Initiative (GLRI), Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Research Chairs Program, OceanTracking Network Canada, Banting Postdoctoral Fellowship, Bonefish and Tarpon Trust
Projects and Grants: GLFC Science Transfer Committee, GLRI GL-00E23010, NSERC Post-doctoral fellowship
Date Deposited: 14 Jun 2020 21:37
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 50%
41 ENVIRONMENTAL SCIENCES > 4199 Other environmental sciences > 419999 Other environmental sciences not elsewhere classified @ 50%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960501 Ecosystem Assessment and Management at Regional or Larger Scales @ 100%
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