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Jacoby DMP, Piper AT. What acoustic telemetry can and cannot tell us about fish biology. JOURNAL OF FISH BIOLOGY 2023. [PMID: 37837176 DOI: 10.1111/jfb.15588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/29/2023] [Accepted: 10/11/2023] [Indexed: 10/15/2023]
Abstract
Acoustic telemetry (AT) has become ubiquitous in aquatic monitoring and fish biology, conservation, and management. Since the early use of active ultrasonic tracking that required researchers to follow at a distance their species of interest, the field has diversified considerably, with exciting advances in both hydrophone and transmitter technology. Once a highly specialized methodology, however, AT is fast becoming a generalist tool for those wishing to study or conserve fishes, leading to diversifying application by non-specialists. With this transition in mind, we evaluate exactly what AT has become useful for, discussing how the technological and analytical advances around AT can address important questions within fish biology. In doing so, we highlight the key ecological and applied research areas where AT continues to reveal crucial new insights and, in particular, when combined with complimentary research approaches. We provide a comprehensive breakdown of the state of the art for applications of AT, discussing the ongoing challenges, where its strengths lie, and how future developments may revolutionize fisheries management, behavioral ecology and species protection. Through selected papers we illustrate specific applications across the broad spectrum of fish biology. By bringing together the recent and future developments in this field under categories designed to broadly capture many aspects of fish biology, we hope to offer a useful guide for the non-specialist practitioner as they attempt to navigate the dizzying array of considerations and ongoing developments within this diverse toolkit.
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Affiliation(s)
- David M P Jacoby
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
- Institute of Zoology, Zoological Society of London, London, UK
| | - Adam T Piper
- Institute of Zoology, Zoological Society of London, London, UK
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2
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Watanabe YY, Papastamatiou YP. Biologging and Biotelemetry: Tools for Understanding the Lives and Environments of Marine Animals. Annu Rev Anim Biosci 2023; 11:247-267. [PMID: 36790885 DOI: 10.1146/annurev-animal-050322-073657] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Addressing important questions in animal ecology, physiology, and environmental science often requires in situ information from wild animals. This difficulty is being overcome by biologging and biotelemetry, or the use of miniaturized animal-borne sensors. Although early studies recorded only simple parameters of animal movement, advanced devices and analytical methods can now provide rich information on individual and group behavior, internal states, and the surrounding environment of free-ranging animals, especially those in marine systems. We summarize the history of technologies used to track marine animals. We then identify seven major research categories of marine biologging and biotelemetry and explain significant achievements, as well as future opportunities. Big data approaches via international collaborations will be key to tackling global environmental issues (e.g., climate change impacts), and curiosity about the secret lives of marine animals will also remain a major driver of biologging and biotelemetry studies.
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Affiliation(s)
- Yuuki Y Watanabe
- National Institute of Polar Research, Tachikawa, Tokyo, Japan; .,Department of Polar Science, The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan
| | - Yannis P Papastamatiou
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
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3
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Cooke SJ, Bergman JN, Twardek WM, Piczak ML, Casselberry GA, Lutek K, Dahlmo LS, Birnie-Gauvin K, Griffin LP, Brownscombe JW, Raby GD, Standen EM, Horodysky AZ, Johnsen S, Danylchuk AJ, Furey NB, Gallagher AJ, Lédée EJI, Midwood JD, Gutowsky LFG, Jacoby DMP, Matley JK, Lennox RJ. The movement ecology of fishes. JOURNAL OF FISH BIOLOGY 2022; 101:756-779. [PMID: 35788929 DOI: 10.1111/jfb.15153] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
Movement of fishes in the aquatic realm is fundamental to their ecology and survival. Movement can be driven by a variety of biological, physiological and environmental factors occurring across all spatial and temporal scales. The intrinsic capacity of movement to impact fish individually (e.g., foraging) with potential knock-on effects throughout the ecosystem (e.g., food web dynamics) has garnered considerable interest in the field of movement ecology. The advancement of technology in recent decades, in combination with ever-growing threats to freshwater and marine systems, has further spurred empirical research and theoretical considerations. Given the rapid expansion within the field of movement ecology and its significant role in informing management and conservation efforts, a contemporary and multidisciplinary review about the various components influencing movement is outstanding. Using an established conceptual framework for movement ecology as a guide (i.e., Nathan et al., 2008: 19052), we synthesized the environmental and individual factors that affect the movement of fishes. Specifically, internal (e.g., energy acquisition, endocrinology, and homeostasis) and external (biotic and abiotic) environmental elements are discussed, as well as the different processes that influence individual-level (or population) decisions, such as navigation cues, motion capacity, propagation characteristics and group behaviours. In addition to environmental drivers and individual movement factors, we also explored how associated strategies help survival by optimizing physiological and other biological states. Next, we identified how movement ecology is increasingly being incorporated into management and conservation by highlighting the inherent benefits that spatio-temporal fish behaviour imbues into policy, regulatory, and remediation planning. Finally, we considered the future of movement ecology by evaluating ongoing technological innovations and both the challenges and opportunities that these advancements create for scientists and managers. As aquatic ecosystems continue to face alarming climate (and other human-driven) issues that impact animal movements, the comprehensive and multidisciplinary assessment of movement ecology will be instrumental in developing plans to guide research and promote sustainability measures for aquatic resources.
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Affiliation(s)
- Steven J Cooke
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology and the Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | - Jordanna N Bergman
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology and the Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | - William M Twardek
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology and the Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | - Morgan L Piczak
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology and the Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | - Grace A Casselberry
- Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, USA
| | - Keegan Lutek
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Lotte S Dahlmo
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Laboratory for Freshwater Ecology and Inland Fisheries, NORCE Norwegian Research Centre, Bergen, Norway
| | - Kim Birnie-Gauvin
- Section for Freshwater Fisheries and Ecology, National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Lucas P Griffin
- Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, USA
| | - Jacob W Brownscombe
- Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, Ontario, Canada
| | - Graham D Raby
- Biology Department, Trent University, Peterborough, Ontario, Canada
| | - Emily M Standen
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrij Z Horodysky
- Department of Marine and Environmental Science, Hampton University, Hampton, Virginia, USA
| | - Sönke Johnsen
- Biology Department, Duke University, Durham, North Caroline, USA
| | - Andy J Danylchuk
- Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, USA
| | - Nathan B Furey
- Department of Biological Sciences, University of New Hampshire, Durham, New Hampshire, USA
| | | | - Elodie J I Lédée
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Jon D Midwood
- Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, Ontario, Canada
| | - Lee F G Gutowsky
- Environmental & Life Sciences Program, Trent University, Peterborough, Ontario, Canada
| | - David M P Jacoby
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Jordan K Matley
- Program in Aquatic Resources, St Francis Xavier University, Antigonish, Nova Scotia, Canada
| | - Robert J Lennox
- Laboratory for Freshwater Ecology and Inland Fisheries, NORCE Norwegian Research Centre, Bergen, Norway
- Norwegian Institute for Nature Research, Trondheim, Norway
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Georgopoulou DG, Fanouraki E, Voskakis D, Mitrizakis N, Papandroulakis N. European seabass show variable responses in their group swimming features after tag implantation. FRONTIERS IN ANIMAL SCIENCE 2022. [DOI: 10.3389/fanim.2022.997948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The usefulness of acoustic telemetry on the study of movements, interactions, and behaviors has been revealed by many field and laboratory studies. The process of attaching acoustic tags on fish can, however, impact their physiological, behavioral, and growth performance traits. The potential negative effects are still unknown for several species and behavioral attributes. Previous studies have attempted to shed light on the effects of tag implantation on fish, focusing mainly on fish growth and physiological parameters, and one or two behavioral properties mainly on the individual level. However, the effect of this procedure could also be expressed at the group level. This study investigated the short-term effects of dummy and active body-implanted acoustic tags on the group-level swimming performance of adult European seabass (Dicentrarchus labrax) using optical flow analysis. We studied four main swimming performance properties—group speed, alignment (polarization), cohesion, and exploratory behavior. To help in the interpretation of any detected differences, physiological stress-related parameters were also extracted. The results show that the tag implantation procedure has variable effects on the different swimming performance attributes of fish. Group cohesion, polarization, and the group’s exploratory tendency were significantly impacted initially, and the effect persisted but to a lesser extent two weeks after surgery. In contrast, group speed was not affected initially but showed a significant decrease in comparison with the control group two weeks post-surgery. In addition, the physiological parameters tested did not show any significant difference between the control and the treated group 14 days after the onset of the experiment. The findings suggest that the effect of tagging is non-trivial, leading to responses and response times that could affect behavioral studies carried out using acoustic telemetry.
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Clements SJ, Zhao Q, Silk MJ, Hodgson DJ, Weegman MD. Modelling associations between animal social structure and demography. Anim Behav 2022. [DOI: 10.1016/j.anbehav.2022.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Papastamatiou YP, Mourier J, TinHan T, Luongo S, Hosoki S, Santana-Morales O, Hoyos-Padilla M. Social dynamics and individual hunting tactics of white sharks revealed by biologging. Biol Lett 2022; 18:20210599. [PMID: 35317626 PMCID: PMC8941395 DOI: 10.1098/rsbl.2021.0599] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Social foraging, where animals forage in groups, takes many forms but is less studied in marine predators as measuring social associations in the wild is challenging. We used biologging (activity, cameras and telemetry receivers) sensors to measure social associations and simultaneous behaviour, in white sharks (Carcharodon carcharias) off Guadalupe Island, Mexico. Animal-borne telemetry receivers revealed that sharks varied in the number of associations they formed and occurred most often when sharks were swimming in straight paths or when they were turning frequently. While many associations were likely random, there was evidence of some stronger associations. Sharks varied in the depths they used and their activity, with some individuals more active in shallow water while others were more active 200-300 m deep. We propose that white sharks associate with other individuals so they can inadvertently share information on the location or remains of large prey. However, there may be a wide range of individual variability in both behaviour and sociality. Biologging now enables social associations of animals to be measured, concurrent with measures of their behaviour, so that social foraging of large marine predators can be quantified in the wild.
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Affiliation(s)
- Yannis P. Papastamatiou
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, FL, USA
| | - Johann Mourier
- UMS 3514 Plateforme Marine Stella Mare, Université de Corse Pasquale Paoli, 20620 Biguglia, France
| | - Thomas TinHan
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, FL, USA
- Cooperative Institute for Marine and Atmospheric Research, University of Hawaii, Honolulu, HI, USA
| | - Sarah Luongo
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, FL, USA
| | - Seiko Hosoki
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, FL, USA
| | | | - Mauricio Hoyos-Padilla
- Pelagios Kakunjá A.C., La Paz, Mexico
- Fins Attached Marine Research and Conservation, Colorado Springs, CO, USA
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Abstract
Despite our critical dependence on aquatic wildlife, we lack a complete understanding of the drivers of population stability and structure for most fish species. Social network analysis has been increasingly used to investigate animal societies as it explicitly links individual decision-making to population-level processes and demography. While the study of social structure is of great ecological interest, it is also potentially important for species of economic value or of conservation concern. To date however, there has been little focus on how social processes are likely to influence the conservation of fish populations. Here we identify applications for how a social network approach can help address broad fish conservation themes such as population structure, biological invasions or fisheries management. We discuss the burgeoning opportunities offered and challenges still faced by current technologies to integrate social network approaches within fish conservation.
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Shuert CR, Marcoux M, Hussey NE, Watt CA, Auger-Méthé M. Assessing the post-release effects of capture, handling and placement of satellite telemetry devices on narwhal (Monodon monoceros) movement behaviour. CONSERVATION PHYSIOLOGY 2021; 9:coaa128. [PMID: 33659061 PMCID: PMC7905160 DOI: 10.1093/conphys/coaa128] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 12/01/2020] [Accepted: 12/04/2020] [Indexed: 06/08/2023]
Abstract
Animal-borne telemetry devices have become a popular and valuable means for studying the cryptic lives of cetaceans. Evaluating the effect of capture, handling and tagging procedures remains largely unassessed across species. Here, we examine the effect of capture, handling and tagging activities on an iconic Arctic cetacean, the narwhal (Monodon monoceros), which has previously been shown to exhibit an extreme response to extended capture and handling. Using accelerometry-derived metrics of behaviour, including activity level, energy expenditure and swimming activity, we quantify the post-release responses and time to recovery of 19 individuals following capture and tagging activities considering the intrinsic covariates of sex and individual size and the extrinsic covariates of handling time and presence of a 'bolt-on' satellite telemetry device. From accelerometer-derived behaviour, most narwhals appeared to return to mean baseline behaviour (recovery) within 24 hours after release, which was supported by longer-term measures of diving data. None of the covariates measured, however, had an effect on the time individuals took to recover following release. Using generalized additive models to describe changes in behaviour over time, we found handling time to be a significant predictor of activity levels, energy expenditure and swimming behaviour following release. Individuals held for the longest period (>40 min) were found to display the largest effect in behaviour immediately following release with respect to swimming behaviour and activity levels. We also found some support for relationships between activity levels, energy expenditure and swimming activity and two other covariates: sex and the attachment of a bolt-on configuration satellite tags. Our results indicate that narwhals recover relatively quickly following capture, handling and tagging procedures, but we suggest that researchers should minimize handling time and further investigation is needed on how to mitigate potential effects of bolt-on satellite tags in these sensitive species.
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Affiliation(s)
- Courtney R Shuert
- Department of Integrative Biology, University of Windsor, Windsor, ON N9B 3P4, Canada
| | - Marianne Marcoux
- Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada
| | - Nigel E Hussey
- Department of Integrative Biology, University of Windsor, Windsor, ON N9B 3P4, Canada
| | - Cortney A Watt
- Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Marie Auger-Méthé
- Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Institute for the Oceans & Fisheries, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
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Pahl KB, Yurkowski DJ, Lees KJ, Hussey NE. Measuring the occurrence and strength of intraguild predation in modern food webs. FOOD WEBS 2020. [DOI: 10.1016/j.fooweb.2020.e00165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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Smith JE, Pinter-Wollman N. Observing the unwatchable: Integrating automated sensing, naturalistic observations and animal social network analysis in the age of big data. J Anim Ecol 2020; 90:62-75. [PMID: 33020914 DOI: 10.1111/1365-2656.13362] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 09/15/2020] [Indexed: 12/11/2022]
Abstract
In the 4.5 decades since Altmann (1974) published her seminal paper on the methods for the observational study of behaviour, automated detection and analysis of social interaction networks have fundamentally transformed the ways that ecologists study social behaviour. Methodological developments for collecting data remotely on social behaviour involve indirect inference of associations, direct recordings of interactions and machine vision. These recent technological advances are improving the scale and resolution with which we can dissect interactions among animals. They are also revealing new intricacies of animal social interactions at spatial and temporal resolutions as well as in ecological contexts that have been hidden from humans, making the unwatchable seeable. We first outline how these technological applications are permitting researchers to collect exquisitely detailed information with little observer bias. We further recognize new emerging challenges from these new reality-mining approaches. While technological advances in automating data collection and its analysis are moving at an unprecedented rate, we urge ecologists to thoughtfully combine these new tools with classic behavioural and ecological monitoring methods to place our understanding of animal social networks within fundamental biological contexts.
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Affiliation(s)
| | - Noa Pinter-Wollman
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, USA
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Börger L, Bijleveld AI, Fayet AL, Machovsky-Capuska GE, Patrick SC, Street GM, Vander Wal E. Biologging Special Feature. J Anim Ecol 2020; 89:6-15. [PMID: 32091640 DOI: 10.1111/1365-2656.13163] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Luca Börger
- Department of Biosciences, College of Science, Swansea University, Swansea, UK
| | - Allert I Bijleveld
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Utrecht University, Den Burg, The Netherlands
| | | | | | - Samantha C Patrick
- School of Environmental Sciences, University of Liverpool, Liverpool, UK
| | - Garrett M Street
- Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University, Mississippi State, MS, USA
| | - Eric Vander Wal
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada
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