Details

Autor(en) / Beteiligte

• 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
• Mills Flemming, Joanna
• Kessel, Steven T.
• Krueger, Charles C.
• Cooke, Steven J.

Titel

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

Ist Teil von

• Reviews in fish biology and fisheries, 2019-06, Vol.29 (2), p.369-400

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.