Literature DB >> 27063208

Remote bioenergetics measurements in wild fish: Opportunities and challenges.

Steven J Cooke1, Jacob W Brownscombe2, Graham D Raby3, Franziska Broell4, Scott G Hinch5, Timothy D Clark6, Jayson M Semmens7.   

Abstract

The generalized energy budget for fish (i.e., Energy Consumed=Metabolism+Waste+Growth) is as relevant today as when it was first proposed decades ago and serves as a foundational concept in fish biology. Yet, generating accurate measurements of components of the bioenergetics equation in wild fish is a major challenge. How often does a fish eat and what does it consume? How much energy is expended on locomotion? How do human-induced stressors influence energy acquisition and expenditure? Generating answers to these questions is important to fisheries management and to our understanding of adaptation and evolutionary processes. The advent of electronic tags (transmitters and data loggers) has provided biologists with improved opportunities to understand bioenergetics in wild fish. Here, we review the growing diversity of electronic tags with a focus on sensor-equipped devices that are commercially available (e.g., heart rate/electrocardiogram, electromyogram, acceleration, image capture). Next, we discuss each component of the bioenergetics model, recognizing that most research to date has focused on quantifying the activity component of metabolism, and identify ways in which the other, less studied components (e.g., consumption, specific dynamic action component of metabolism, somatic growth, reproductive investment, waste) could be estimated remotely. We conclude with a critical but forward-looking appraisal of the opportunities and challenges in using existing and emerging electronic sensor-tags for the study of fish energetics in the wild. Electronic tagging has become a central and widespread tool in fish ecology and fisheries management; the growing and increasingly affordable toolbox of sensor tags will ensure this trend continues, which will lead to major advances in our understanding of fish biology over the coming decades.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biologging; Biotelemetry; Energetics; Energy budget; Metabolism; Remote; Swimming

Mesh:

Year:  2016        PMID: 27063208     DOI: 10.1016/j.cbpa.2016.03.022

Source DB:  PubMed          Journal:  Comp Biochem Physiol A Mol Integr Physiol        ISSN: 1095-6433            Impact factor:   2.320


  15 in total

1.  Spatiotemporal drivers of energy expenditure in a coastal marine fish.

Authors:  Jacob W Brownscombe; Steven J Cooke; Andy J Danylchuk
Journal:  Oecologia       Date:  2017-01-16       Impact factor: 3.225

Review 2.  Bio-sensing technologies in aquaculture: how remote monitoring can bring us closer to our farm animals.

Authors:  J Brijs; M Føre; A Gräns; T D Clark; M Axelsson; J L Johansen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-06-14       Impact factor: 6.671

Review 3.  Conservation physiology of marine fishes: state of the art and prospects for policy.

Authors:  David J McKenzie; Michael Axelsson; Denis Chabot; Guy Claireaux; Steven J Cooke; Richard A Corner; Gudrun De Boeck; Paolo Domenici; Pedro M Guerreiro; Bojan Hamer; Christian Jørgensen; Shaun S Killen; Sjannie Lefevre; Stefano Marras; Basile Michaelidis; Göran E Nilsson; Myron A Peck; Angel Perez-Ruzafa; Adriaan D Rijnsdorp; Holly A Shiels; John F Steffensen; Jon C Svendsen; Morten B S Svendsen; Lorna R Teal; Jaap van der Meer; Tobias Wang; Jonathan M Wilson; Rod W Wilson; Julian D Metcalfe
Journal:  Conserv Physiol       Date:  2016-10-18       Impact factor: 3.079

4.  ABS-FishCount: An Agent-Based Simulator of Underwater Sensors for Measuring the Amount of Fish.

Authors:  Iván García-Magariño; Raquel Lacuesta; Jaime Lloret
Journal:  Sensors (Basel)       Date:  2017-11-13       Impact factor: 3.576

5.  The influence of water temperature on sockeye salmon heart rate recovery following simulated fisheries interactions.

Authors:  Tanya S Prystay; Erika J Eliason; Michael J Lawrence; Melissa Dick; Jacob W Brownscombe; David A Patterson; Glenn T Crossin; Scott G Hinch; Steven J Cooke
Journal:  Conserv Physiol       Date:  2017-08-22       Impact factor: 3.079

6.  Interacting with wildlife tourism increases activity of white sharks.

Authors:  Charlie Huveneers; Yuuki Y Watanabe; Nicholas L Payne; Jayson M Semmens
Journal:  Conserv Physiol       Date:  2018-05-21       Impact factor: 3.079

7.  Remote physiological monitoring provides unique insights on the cardiovascular performance and stress responses of freely swimming rainbow trout in aquaculture.

Authors:  Jeroen Brijs; Erik Sandblom; Michael Axelsson; Kristina Sundell; Henrik Sundh; Anders Kiessling; Charlotte Berg; Albin Gräns
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

8.  Field assessments of heart rate dynamics during spawning migration of wild and hatchery-reared Chinook salmon.

Authors:  W M Twardek; A Ekström; E J Eliason; R J Lennox; E Tuononen; A E I Abrams; A L Jeanson; S J Cooke
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-06-14       Impact factor: 6.671

9.  The influence of ontogenetic diet variation on consumption rate estimates: a marine example.

Authors:  Christopher L Lawson; Iain M Suthers; James A Smith; Hayden T Schilling; John Stewart; Julian M Hughes; Stephanie Brodie
Journal:  Sci Rep       Date:  2018-07-16       Impact factor: 4.379

10.  Thermal exposure of adult Chinook salmon and steelhead: Diverse behavioral strategies in a large and warming river system.

Authors:  Matthew L Keefer; Tami S Clabough; Michael A Jepson; Eric L Johnson; Christopher A Peery; Christopher C Caudill
Journal:  PLoS One       Date:  2018-09-21       Impact factor: 3.240

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