Literature DB >> 34321114

A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems.

Robert J Lennox1, Samuel Westrelin2, Allan T Souza3, Marek Šmejkal3, Milan Říha3, Marie Prchalová3, Ran Nathan4, Barbara Koeck5, Shaun Killen5, Ivan Jarić3,6, Karl Gjelland7, Jack Hollins5,8, Gustav Hellstrom9, Henry Hansen10, Steven J Cooke11, David Boukal6,12, Jill L Brooks11, Tomas Brodin9, Henrik Baktoft13, Timo Adam14, Robert Arlinghaus10,15,16.   

Abstract

Movement ecology is increasingly relying on experimental approaches and hypothesis testing to reveal how, when, where, why, and which animals move. Movement of megafauna is inherently interesting but many of the fundamental questions of movement ecology can be efficiently tested in study systems with high degrees of control. Lakes can be seen as microcosms for studying ecological processes and the use of high-resolution positioning systems to triangulate exact coordinates of fish, along with sensors that relay information about depth, temperature, acceleration, predation, and more, can be used to answer some of movement ecology's most pressing questions. We describe how key questions in animal movement have been approached and how experiments can be designed to gather information about movement processes to answer questions about the physiological, genetic, and environmental drivers of movement using lakes. We submit that whole lake telemetry studies have a key role to play not only in movement ecology but more broadly in biology as key scientific arenas for knowledge advancement. New hardware for tracking aquatic animals and statistical tools for understanding the processes underlying detection data will continue to advance the potential for revealing the paradigms that govern movement and biological phenomena not just within lakes but in other realms spanning lands and oceans.
© 2021. The Author(s).

Entities:  

Keywords:  Biologging; Fish ecology; Movement ecology; Sensor; Telemetry

Year:  2021        PMID: 34321114     DOI: 10.1186/s40462-021-00244-y

Source DB:  PubMed          Journal:  Mov Ecol        ISSN: 2051-3933            Impact factor:   3.600


  109 in total

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Authors:  S Bauer; B J Hoye
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