TrackdAT
An acoustic telemetry metadata dataset to support aquatic animal tracking research
Data on the movement and space use of aquatic animals are crucial for understanding complex interactions among biotic and abiotic components of ecosystems and facilitating effective conservation and management. Acoustic telemetry (AT) is a leading method for studying the movement ecology of aquatic animals worldwide. However, the ability to efficiently access study information from AT research is currently lacking, which limits advancements in its application.
Here, we describe TrackdAT, an open-source metadata dataset where AT research parameters are catalogued to provide scientists, managers, and other stakeholders with the ability to efficiently identify and evaluate existing peer-reviewed research. Extracted metadata encompass key information about biological and technical aspects of research, providing a comprehensive summary of existing AT research. TrackdAT currently hosts information from 2,412 journal articles published from 1969 to 2022, spanning 614 species and 380,289 tagged animals.
Funded by the Great Lakes Fishery Commission
Specific aim of the project:
Enable regional and global mobilisation of knowledge, increased opportunities for collaboration, greater stakeholder engagement, and optimisation of future ecological research.
Jordan K. Matley, Flinders University, Australia
Natalie V. Klinard, Dalhousie University, Canada
Ana Barbosa Martins, Dalhousie University, Canada and JCU
Arun Oakley-Cogan, Dalhousie University, Canada
Charlie Huveneers, Flinders University, Australia
Christopher S. Vandergoot, Michigan State University, USA
Aaron T. Fisk, University of Windsor, Canada