Sensor Applications to Study the Biology of Fish Movement

A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Physiology".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2754

Special Issue Editors

Animal Breeding and Genomics, Wageningen University & Research, 6708 PB Wageningen, The Netherlands
Interests: fish swimming physiology; fish reproductive biology; aquaculture; genomics; sensor technology
Fish Ecology Group, Mediterranean Institute of Advanced Studies (IMEDEA-CSIC/UIB), 07190 Esporles, Spain
Interests: fish ethology; fish welfare; precision fish farming; aquaculture; telemetry and sensor technology
Special Issues, Collections and Topics in MDPI journals
Institute of Marine Science, University of Auckland, Auckland 1010, New Zealand
Interests: fish swimming physiology and behaviour; fish preference and avoidance behaviours; environmental physiology; aquaculture and fisheries

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your manuscript associated with the research topic ‘Sensor Applications to Study the Biology of Fish Movement’ to this Special Issue of Biology. The underwater world is still a mysterious one. The fishes that inhabit this world show remarkable swimming performances as exemplified by complex maneuvering in coastal zones, the fast sprints of predators and long-distance migrations. Fishes also need to be resilient in order to cope with a changing world or in an aquaculture environment. The applications of sensor technology are receiving increasing attention in the research on fishes in experimental settings, field monitoring and aquaculture. Sensors are used to gain insight into the physiological performance of fishes, their movement and activity patterns, and have major potential to fill gaps in our fundamental knowledge on fish movement and contribute to animal welfare and precision farming.

This Special Issue aims to collect articles that show sensor applications to study fish movement, on the use of available sensor tags and loggers in swimming fish and on the development of new ones. This includes telemetric approaches and sensor applications in or on the fish that inform us about their swimming physiology.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: fish physiology, biomechanics, ecology and behavioral biology, fisheries and aquaculture, but also sensor engineering and validation.

We look forward to receiving your contributions.

Dr. Arjan P. Palstra
Dr. Pablo Arechavala-Lopez
Dr. Neill A. Herbert
Guest Editors

Manuscript Submission Information

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Keywords

  • fish
  • swimming
  • physiology
  • migration
  • sensor tags
  • telemetry
  • aquaculture
  • energy metabolism
  • oxy-gen consumption

Published Papers (2 papers)

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Research

17 pages, 2899 KiB  
Article
Heart Rate and Acceleration Dynamics during Swim-Fitness and Stress Challenge Tests in Yellowtail Kingfish (Seriola lalandi)
by Arjan P. Palstra, Wout Abbink, Wisdom E. K. Agbeti, Leo Kruijt, Pauline Jéhannet and Martin J. Lankheet
Biology 2024, 13(3), 189; https://doi.org/10.3390/biology13030189 - 15 Mar 2024
Viewed by 722
Abstract
The yellowtail kingfish is a highly active and fast-growing marine fish with promising potential for aquaculture. In this study, essential insights were gained into the energy economy of this species by heart rate and acceleration logging during a swim-fitness test and a subsequent [...] Read more.
The yellowtail kingfish is a highly active and fast-growing marine fish with promising potential for aquaculture. In this study, essential insights were gained into the energy economy of this species by heart rate and acceleration logging during a swim-fitness test and a subsequent stress challenge test. Oxygen consumption values of the 600–800 g fish, when swimming in the range of 0.2 up to 1 m·s−1, were high—between 550 and 800 mg·kg−1·h−1—and the heart rate values—up to 228 bpm—were even among the highest ever measured for fishes. When swimming at these increasing speeds, their heart rate increased from 126 up to 162 bpm, and acceleration increased from 11 up to 26 milli-g. When exposed to four sequential steps of increasing stress load, the decreasing peaks of acceleration (baseline values of 12 to peaks of 26, 19 and 15 milli-g) indicated anticipatory behavior, but the heart rate increases (110 up to 138–144 bpm) remained similar. During the fourth step, when fish were also chased, peaking values of 186 bpm and 44 milli-g were measured. Oxygen consumption and heart rate increased with swimming speed and was well reflected by increases in tail beat and head width frequencies. Only when swimming steadily near the optimal swimming speed were these parameters strongly correlated. Full article
(This article belongs to the Special Issue Sensor Applications to Study the Biology of Fish Movement)
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17 pages, 1662 KiB  
Article
Model of Oxygen Conditions within Aquaculture Sea Cages
by Heiðrikur Bergsson, Morten Bo Søndergaard Svendsen and John Fleng Steffensen
Biology 2023, 12(11), 1408; https://doi.org/10.3390/biology12111408 - 08 Nov 2023
Viewed by 968
Abstract
To ensure optimal feed intake, growth, and general fish health in aquaculture sea cages, interactions between drivers that affect oxygen conditions need to be understood. The main drivers are oxygen consumption and water exchange, caused by flow through the cage. Swimming energetics in [...] Read more.
To ensure optimal feed intake, growth, and general fish health in aquaculture sea cages, interactions between drivers that affect oxygen conditions need to be understood. The main drivers are oxygen consumption and water exchange, caused by flow through the cage. Swimming energetics in rainbow trout (Oncorhynchus mykiss) in normoxia and hypoxia at 10, 15, and 20 °C were determined. Using the determinations, a conceptual model of oxygen conditions within sea cages was created. By applying the model to a case study, results show that with a temperature increase of 10 °C, oxygen concentration will decrease three times faster. To maintain optimal oxygen concentration within the cage, the flow velocity must be increased by a factor of 3.7. The model is highly relevant for current farms since the model predictions can explain why and when suboptimal conditions occur within the cages. Using the same method, the model can be used to estimate the suitability of potential new aquaculture sites. Full article
(This article belongs to the Special Issue Sensor Applications to Study the Biology of Fish Movement)
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